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1 </head> <body class="fixed-top-nav "> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top"> <div class="container"> <a class="navbar-brand title font-weight-lighter" href="/">Haw-Shiuan Chang</a> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item "> <a class="nav-link" href="/">About</a> </li> <li class="nav-item dropdown "> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdown" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Projects</a> <div class="dropdown-menu 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href="/software/">Software</a> </li> <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="fa-solid fa-moon"></i> <i class="fa-solid fa-sun"></i> </button> </li> </ul> </div> </div> </nav> <progress id="progress" value="0"> <div class="progress-container"> <span class="progress-bar"></span> </div> </progress> <div class="container mt-5"> <div class="post"> <header class="post-header"> <h1 class="post-title">Publications</h1> <p class="post-description"></p> </header> <article> <div class="publications"> My <a href="https://www.semanticscholar.org/author/144827671" rel="external nofollow noopener" target="_blank">Semantic Scholar</a> and <a href="https://scholar.google.com/citations?user=fdGXVd4AAAAJ&view_op=list_works&sortby=pubdate" rel="external nofollow noopener" target="_blank">Google Scholar</a> pages. <br> <p style="text-align: right">*indicates equal contribution, â indicates corresponding author</p> <h2 class="bibliography">2026</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">Review</abbr></div> <div id="balakrishnan2026comprehend" class="col-sm-8"> <div class="title">COMPREHEND: Ultra-Fine-Grained Benchmark Understanding by Entailment Hierarchy</div> <div class="author"> Sivaraaman Balakrishnan*, Prakriti Shankar Shetty*, Jeremiah Hong, Hamed Zamani, and <em>Haw-Shiuan Chang*</em> </div> <div class="periodical"> <em>In Under Review</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a href="https://openreview.net/pdf/79ec8d9753400abf35737f25b7a55f31483dc116.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">balakrishnan2026comprehend</span><span class="p">,</span> 2 <span class="na">title</span> <span class="p">=</span> <span class="s">{COMPREHEND: Ultra-Fine-Grained Benchmark Understanding by Entailment Hierarchy}</span><span class="p">,</span> 3 <span class="na">author</span> <span class="p">=</span> <span class="s">{Balakrishnan*, Sivaraaman and Shetty*, Prakriti Shankar and Hong, Jeremiah and Zamani, Hamed and Chang*, Haw-Shiuan}</span><span class="p">,</span> 4 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Under Review}</span><span class="p">,</span> 5 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://openreview.net/pdf/79ec8d9753400abf35737f25b7a55f31483dc116.pdf}</span><span class="p">,</span> 6 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span> 7<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ArXiv</abbr></div> <div id="sharma2026unspecific" class="col-sm-8"> <div class="title">UNSPECIFIC: General Constraint Synthesis for Breaking Copy-and-Paste Shortcut in LLM Instruction Following</div> <div class="author"> Jeet Sharma*, Balpreet Kaur*, Jeremiah Hong, Hamed Zamani, and <em>Haw-Shiuan Chang*</em> </div> <div class="periodical"> <em>In arXiv preprint arXiv:2608.09154</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2608.09154" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">sharma2026unspecific</span><span class="p">,</span> 8 <span class="na">title</span> <span class="p">=</span> <span class="s">{UNSPECIFIC: General Constraint Synthesis for Breaking Copy-and-Paste Shortcut in LLM Instruction Following}</span><span class="p">,</span> 9 <span class="na">author</span> <span class="p">=</span> <span class="s">{Sharma*, Jeet and Kaur*, Balpreet and Hong, Jeremiah and Zamani, Hamed and Chang*, Haw-Shiuan}</span><span class="p">,</span> 10 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2608.09154}</span><span class="p">,</span> 11 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2608.09154}</span><span class="p">,</span> 12 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span> 13<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ArXiv</abbr></div> <div id="chang2026your" class="col-sm-8"> <div class="title">Your Mouse and Eyes Secretly Leak Your Preference: LLM Alignment using Implicit Feedback from Users</div> <div class="author"> <em>Haw-Shiuan Chang*</em>, Jeffrey Gomez*, Mehul Patwari*, Aryan Sajith, and Hamed Zamani</div> <div class="periodical"> <em>In arXiv preprint arXiv:2606.20482</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2606.20482" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2026your</span><span class="p">,</span> 14 <span class="na">title</span> <span class="p">=</span> <span class="s">{Your Mouse and Eyes Secretly Leak Your Preference: LLM Alignment using Implicit Feedback from Users}</span><span class="p">,</span> 15 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang*, Haw-Shiuan and Gomez*, Jeffrey and Patwari*, Mehul and Sajith, Aryan and Zamani, Hamed}</span><span class="p">,</span> 16 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2606.20482}</span><span class="p">,</span> 17 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2606.20482}</span><span class="p">,</span> 18 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span> 19<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EMNLP</abbr></div> <div id="bhuiya2026prompt2box" class="col-sm-8"> <div class="title">PROMPT2BOX: Uncovering Entailment Structure among LLM Prompts</div> <div class="author"> Neeladri Bhuiya, Shib Sankar Dasgupta, Andrew McCallum, and <em>Haw-Shiuan Chang</em> </div> <div class="periodical"> <em>In Conference on Empirical Methods in Natural Language Processing (EMNLP)</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2603.21438" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">bhuiya2026prompt2box</span><span class="p">,</span> 20 <span class="na">title</span> <span class="p">=</span> <span class="s">{PROMPT2BOX: Uncovering Entailment Structure among LLM Prompts}</span><span class="p">,</span> 21 <span class="na">author</span> <span class="p">=</span> <span class="s">{Bhuiya, Neeladri and Dasgupta, Shib Sankar and McCallum, Andrew and Chang, Haw-Shiuan}</span><span class="p">,</span> 22 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Conference on Empirical Methods in Natural Language Processing (EMNLP)}</span><span class="p">,</span> 23 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2603.21438}</span><span class="p">,</span> 24 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span> 25<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ArXiv</abbr></div> <div id="samarinas2026truncated" class="col-sm-8"> <div class="title">Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning</div> <div class="author"> Chris Samarinas, <em>Haw-Shiuan Chang</em>, and Hamed Zamani</div> <div class="periodical"> <em>In arXiv preprint arXiv:2602.23440</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/pdf/2602.23440" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">samarinas2026truncated</span><span class="p">,</span> 26 <span class="na">title</span> <span class="p">=</span> <span class="s">{Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning}</span><span class="p">,</span> 27 <span class="na">author</span> <span class="p">=</span> <span class="s">{Samarinas, Chris and Chang, Haw-Shiuan and Zamani, Hamed}</span><span class="p">,</span> 28 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2602.23440}</span><span class="p">,</span> 29 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/pdf/2602.23440}</span><span class="p">,</span> 30 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span> 31<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">TMLR</abbr></div> <div id="hou2025creativityprism" class="col-sm-8"> <div class="title">CreativityPrism: A Holistic Evaluation Framework for Large Language Model Creativity</div> <div class="author">
31 Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu, Bhiman Kumar Baghel, Anneliese Brei, Ximing Lu, Meng Jiang, Faeze Brahman, Snigdha Chaturvedi, <em>Haw-Shiuan Chang</em>, and <span class="more-authors" title="click to view 2 more authors" onclick=" var element=$(this); element.attr('title', ''); var more_authors_text=element.text() == '2 more authors' ? 'Daniel Khashabi, Xiang Lorraine Li' : '2 more authors'; var cursorPosition=0; var textAdder=setInterval(function(){ element.text(more_authors_text.substring(0, cursorPosition + 1)); if (++cursorPosition == more_authors_text.length){ clearInterval(textAdder); } }, '10'); ">2 more authors</span> </div> <div class="periodical"> <em>Transactions on Machine Learning Research</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2510.20091" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">hou2025creativityprism</span><span class="p">,</span> 32 <span class="na">title</span> <span class="p">=</span> <span class="s">{CreativityPrism: A Holistic Evaluation Framework for Large Language Model Creativity}</span><span class="p">,</span> 33 <span class="na">author</span> <span class="p">=</span> <span class="s">{Hou, Zhaoyi Joey and Zhang, Bowei Alvin and Lu, Yining and Baghel, Bhiman Kumar and Brei, Anneliese and Lu, Ximing and Jiang, Meng and Brahman, Faeze and Chaturvedi, Snigdha and Chang, Haw-Shiuan and Khashabi, Daniel and Li, Xiang Lorraine}</span><span class="p">,</span> 34 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Transactions on Machine Learning Research}</span><span class="p">,</span> 35 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2510.20091}</span><span class="p">,</span> 36 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span> 37<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2025</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">TACL</abbr></div> <div id="chang2025real" class="col-sm-8"> <div class="title">REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation by Extrapolating the Entropy of an Infinitely Large LM</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, and Tagyoung Chung</div> <div class="periodical"> <em>Transactions of the Association for Computational Linguistics (TACL)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2406.07735" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/amazon-science/llm-asymptotic-decoding/" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">chang2025real</span><span class="p">,</span> 38 <span class="na">title</span> <span class="p">=</span> <span class="s">{REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation by Extrapolating the Entropy of an Infinitely Large LM}</span><span class="p">,</span> 39 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Peng, Nanyun and Bansal, Mohit and Ramakrishna, Anil and Chung, Tagyoung}</span><span class="p">,</span> 40 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Transactions of the Association for Computational Linguistics (TACL)}</span><span class="p">,</span> 41 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 42 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2406.07735}</span> 43<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EMNLP WS</abbr></div> <div id="naik2025latent" class="col-sm-8"> <div class="title">Latent Traits and Cross-Task Transfer: Deconstructing Dataset Interactions in LLM Fine-tuning</div> <div class="author">
43 Shambhavi Krishna*, Atharva Naik*, Chaitali Agarwal*, Sudharshan Govindan*, <em>Haw-Shiuan Changâ </em>, and Taesung Lee</div> <div class="periodical"> <em>In Proceedings of *SEM 2025: The Fourteenth Joint Conference on Lexical and Computational Semantics (*SEM)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2509.13624" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">naik2025latent</span><span class="p">,</span> 44 <span class="na">title</span> <span class="p">=</span> <span class="s">{Latent Traits and Cross-Task Transfer: Deconstructing Dataset Interactions in LLM Fine-tuning}</span><span class="p">,</span> 45 <span class="na">author</span> <span class="p">=</span> <span class="s">{Krishna*, Shambhavi and Naik*, Atharva and Agarwal*, Chaitali and Govindan*, Sudharshan and Changâ , Haw-Shiuan and Lee, Taesung}</span><span class="p">,</span> 46 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of *SEM 2025: The Fourteenth Joint Conference on Lexical and Computational Semantics (*SEM)}</span><span class="p">,</span> 47 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2509.13624}</span><span class="p">,</span> 48 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span> 49<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ACL WS Oral</abbr></div> <div id="joshi2025coke" class="col-sm-8"> <div class="title">CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization</div> <div class="author"> Brihi Joshi, Sriram Venkatapathy, Mohit Bansal, Nanyun Peng, and <em>Haw-Shiuan Chang</em> </div> <div class="periodical"> <em>In Proceedings of the Fourth Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) (Oral)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2503.17136" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">joshi2025coke</span><span class="p">,</span> 50 <span class="na">title</span> <span class="p">=</span> <span class="s">{CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization}</span><span class="p">,</span> 51 <span class="na">author</span> <span class="p">=</span> <span class="s">{Joshi, Brihi and Venkatapathy, Sriram and Bansal, Mohit and Peng, Nanyun and Chang, Haw-Shiuan}</span><span class="p">,</span> 52 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the Fourth Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) (Oral)}</span><span class="p">,</span> 53 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2503.17136}</span><span class="p">,</span> 54 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span> 55<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2024</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EMNLP Oral</abbr></div> <div id="chang2024explaining" class="col-sm-8"> <div class="title">Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, and Tagyoung Chung</div> <div class="periodical"> <em>In Conference on Empirical Methods in Natural Language Processing (EMNLP) (Oral) (ð Best Paper Nomination from a Reviewer)</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2411.01610" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://go.screenpal.com/watch/cZ6tFEnc2Ta" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/amazon-science/llm-asymptotic-decoding/" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/EMNLP_2024_APD_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/EMNLP_2024_APD_release.key" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2024explaining</span><span class="p">,</span> 56 <span class="na">title</span> <span class="p">=</span> <span class="s">{Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM}</span><span class="p">,</span> 57 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Peng, Nanyun and Bansal, Mohit and Ramakrishna, Anil and Chung, Tagyoung}</span><span class="p">,</span> 58 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Conference on Empirical Methods in Natural Language Processing (EMNLP) (Oral) (ð Best Paper Nomination from a Reviewer)}</span><span class="p">,</span> 59 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2411.01610}</span><span class="p">,</span> 60 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span> 61<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://go.screenpal.com/watch/cZ6tFEnc2Ta" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EMNLP Findings</abbr></div> <div id="ferraz2024llm" class="col-sm-8"> <div class="title">LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints</div> <div class="author"> Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, <em>Haw-Shiuan Chang</em>, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, and Nanyun Peng</div> <div class="periodical"> <em>In Findings of the Association for Computational Linguistics: EMNLP</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2410.06458" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">ferraz2024llm</span><span class="p">,</span> 62 <span class="na">title</span> <span class="p">=</span> <span class="s">{LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints}</span><span class="p">,</span> 63 <span class="na">author</span> <span class="p">=</span> <span class="s">{Ferraz, Thomas Palmeira and Mehta, Kartik and Lin, Yu-Hsiang and Chang, Haw-Shiuan and Oraby, Shereen and Liu, Sijia and Subramanian, Vivek and Chung, Tagyoung and Bansal, Mohit and Peng, Nanyun}</span><span class="p">,</span> 64 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Findings of the Association for Computational Linguistics: EMNLP}</span><span class="p">,</span> 65 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2410.06458}</span><span class="p">,</span> 66 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span> 67<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EMNLP WS</abbr></div> <div id="anirudh2024cs4" class="col-sm-8"> <div class="title">CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints</div> <div class="author"> Anirudh Atmakuru*, Jatin Nainani*, Rohith Siddhartha Reddy Bheemreddy*, Anirudh L
67akkaraju*, Zonghai Yao, Hamed Zamani, and <em>Haw-Shiuan Chang*</em> </div> <div class="periodical"> <em>In 6th Workshop on Narrative Understanding (WNU)</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2410.04197" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/anirudhlakkaraju/cs4_benchmark" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/WNU_CS4_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">anirudh2024cs4</span><span class="p">,</span> 68 <span class="na">title</span> <span class="p">=</span> <span class="s">{CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints}</span><span class="p">,</span> 69 <span class="na">author</span> <span class="p">=</span> <span class="s">{Atmakuru*, Anirudh and Nainani*, Jatin and Bheemreddy*, Rohith Siddhartha Reddy and Lakkaraju*, Anirudh and Yao, Zonghai and Zamani, Hamed and Chang*, Haw-Shiuan}</span><span class="p">,</span> 70 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{6th Workshop on Narrative Understanding (WNU)}</span><span class="p">,</span> 71 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span> 72 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2410.04197}</span><span class="p">,</span> 73<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">NAACL WS</abbr></div> <div id="chang2024fine" class="col-sm-8"> <div class="title">Fine-to-Coarse Entailment Hierarchy Construction for Coarse-to-Fine Story Generation</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Nanyun Peng, Mohit Bansal, and Tagyoung Chung</div> <div class="periodical"> <em>In Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a href="https://www.amazon.science/publications/fine-to-coarse-entailment-hierarchy-construction-for-coarse-to-fine-story-generation" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://underline.io/lecture/96638-fine-to-coarse-entailment-hierarchy-construction-for-coarse-to-fine-story-generation" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/NAACL_HCI_NLP_24_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/HCI+NLP_entailment_hierarchy_talk.key" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2024fine</span><span class="p">,</span> 74 <span class="na">title</span> <span class="p">=</span> <span class="s">{Fine-to-Coarse Entailment Hierarchy Construction for Coarse-to-Fine Story Generation}</span><span class="p">,</span> 75 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Peng, Nanyun and Bansal, Mohit and Chung, Tagyoung}</span><span class="p">,</span> 76 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)}</span><span class="p">,</span> 77 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span> 78 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://www.amazon.science/publications/fine-to-coarse-entailment-hierarchy-construction-for-coarse-to-fine-story-generation}</span><span class="p">,</span> 79<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://underline.io/lecture/96638-fine-to-coarse-entailment-hierarchy-construction-for-coarse-to-fine-story-generation" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">WSDM</abbr></div> <div id="chang2024copy" class="col-sm-8"> <div class="title">To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Nikhil Agarwal, and Andrew McCallum</div> <div class="periodical"> <em>In Proceedings of The 17th ACM International Conference on Web Search and Data Mining</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2310.14079" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/iesl/softmax_CPR_recommend" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/WSDM_vertical_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2024copy</span><span class="p">,</span> 80 <span class="na">title</span> <span class="p">=</span> <span class="s">{To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders}</span><span class="p">,</span> 81 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Agarwal, Nikhil and McCallum, Andrew}</span><span class="p">,</span> 82 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of The 17th ACM International Conference on Web Search and Data Mining}</span><span class="p">,</span> 83 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span> 84 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2310.14079}</span><span class="p">,</span> 85<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2023</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ACL Findings</abbr></div> <div id="chang2023revisiting" class="col-sm-8"> <div class="title">Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond</div> <div class="author"> <em>Haw-Shiuan Chang*</em>, Zonghai Yao*, Alolika Gon, Hong Yu, and Andrew McCallum</div> <div class="periodical"> <em>In Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL)</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <a href="http://arxiv.org/abs/2305.12289" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://screenpal.com/watch/c0111cVB2t5" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/iesl/Softmax-CPR" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/ACL_2023_pointer_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/ACL_2023_softmax-cpr.pdf" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2023revisiting</span><span class="p">,</span> 86 <span class="na">title</span> <span class="p">=</span> <span class="s">{Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond}</span><span class="p">,</span> 87 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang*, Haw-Shiuan and Yao*, Zonghai and Gon, Alolika and Yu, Hong and McCallum, Andrew}</span><span class="p">,</span> 88 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL)}</span><span class="p">,</span> 89 <span class="na">year</span> <span class="p">=</span> <span class="s">{2023}</span><span class="p">,</span> 90 <span class="na">paper</span> <span class="p">=</span> <span class="s">{http://arxiv.org/abs/2305.12289}</span><span class="p">,</span> 91<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://screenpal.com/watch/c0111cVB2t5" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ACL</abbr></div> <div id="chang2023multi-cls" class="col-sm-8"> <div class="title">Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling</div> <div class="author"> <em>Haw-Shiuan Chang*</em>, Ruei-Yao Sun*, Kathryn Ricci*, and Andrew McCallum</div> <div class="periodical"> <em>In Annual Meeting of the Association for Computational Linguistics (ACL)</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2210.05043" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://screenpal.com/watch/c01hjIVBXqN" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a>
91 <a href="https://github.com/iesl/multicls/" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/ACL_2023_multi-cls_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/ACL2023_multi-cls_slides.pdf" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2023multi-cls</span><span class="p">,</span> 92 <span class="na">title</span> <span class="p">=</span> <span class="s">{Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling}</span><span class="p">,</span> 93 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang*, Haw-Shiuan and Sun*, Ruei-Yao and Ricci*, Kathryn and McCallum, Andrew}</span><span class="p">,</span> 94 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Annual Meeting of the Association for Computational Linguistics (ACL)}</span><span class="p">,</span> 95 <span class="na">year</span> <span class="p">=</span> <span class="s">{2023}</span><span class="p">,</span> 96 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2210.05043}</span><span class="p">,</span> 97<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://screenpal.com/watch/c01hjIVBXqN" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ArXiv</abbr></div> <div id="seoh2023encoding" class="col-sm-8"> <div class="title">Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens</div> <div class="author"> Ronald Seoh*, <em>Haw-Shiuan Chang*</em>, and Andrew McCallum</div> <div class="periodical"> <em>arXiv preprint arXiv:2309.04333</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2309.04333" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">seoh2023encoding</span><span class="p">,</span> 98 <span class="na">title</span> <span class="p">=</span> <span class="s">{Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens}</span><span class="p">,</span> 99 <span class="na">author</span> <span class="p">=</span> <span class="s">{Seoh*, Ronald and Chang*, Haw-Shiuan and McCallum, Andrew}</span><span class="p">,</span> 100 <span class="na">journal</span> <span class="p">=</span> <span class="s">{arXiv preprint arXiv:2309.04333}</span><span class="p">,</span> 101 <span class="na">year</span> <span class="p">=</span> <span class="s">{2023}</span><span class="p">,</span> 102 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2309.04333}</span> 103<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2022</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">Thesis</abbr></div> <div id="chang2022modeling" class="col-sm-8"> <div class="title">Modeling the Multi-mode Distribution in Self-Supervised Language Models</div> <div class="author"> <em>Haw-Shiuan Chang</em> </div> <div class="periodical"> <em>In PhD Thesis</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a href="https://web.archive.org/web/20221031171926id_/https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3783&context=dissertations_2" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/Haw-Shiuan_thesis_defense_slides.key" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2022modeling</span><span class="p">,</span> 104 <span class="na">title</span> <span class="p">=</span> <span class="s">{Modeling the Multi-mode Distribution in Self-Supervised Language Models}</span><span class="p">,</span> 105 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan}</span><span class="p">,</span> 106 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{PhD Thesis}</span><span class="p">,</span> 107 <span class="na">year</span> <span class="p">=</span> <span class="s">{2022}</span><span class="p">,</span> 108 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://web.archive.org/web/20221031171926id_/https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3783&context=dissertations_2}</span><span class="p">,</span> 109<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ACL</abbr></div> <div id="chang2022softmax" class="col-sm-8"> <div class="title">Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions</div> <div class="author"> <em>Haw-Shiuan Chang</em>, and Andrew McCallum</div> <div class="periodical"> <em>In Annual Meeting of the Association for Computational Linguistics (ACL)</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a href="https://aclanthology.org/2022.acl-long.554.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://screencast-o-matic.com/watch/c3fresVYo4M" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://aclanthology.org/attachments/2022.acl-long.554.software.zip" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/ACL2022_poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/ACL2022_slides.pdf" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2022softmax</span><span class="p">,</span> 110 <span class="na">title</span> <span class="p">=</span> <span class="s">{Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions}</span><span class="p">,</span> 111 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and McCallum, Andrew}</span><span class="p">,</span> 112 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Annual Meeting of the Association for Computational Linguistics (ACL)}</span><span class="p">,</span> 113 <span class="na">year</span> <span class="p">=</span> <span class="s">{2022}</span><span class="p">,</span> 114 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://aclanthology.org/2022.acl-long.554.pdf}</span><span class="p">,</span> 115<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://screencast-o-matic.com/watch/c3fresVYo4M" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">SDP</abbr></div> <div id="ricci2022unsupervised" class="col-sm-8"> <div class="title">Unsupervised Partial Sentence Matching for Cited Text Identification</div> <div class="author"> Kathryn Ricci*, <em>Haw-Shiuan Chang*</em>, Purujit Goyal, and Andrew McCallum</div> <div class="periodical"> <em>In Proceedings of the Third Workshop on Scholarly Document Processing</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a href="https://aclanthology.org/2022.sdp-1.11.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">ricci2022unsupervised</span><span class="p">,</span> 116 <span class="na">title</span> <span class="p">=</span> <span class="s">{Unsupervised Partial Sentence Matching for Cited Text Identification}</span><span class="p">,</span> 117 <span class="na">author</span> <span class="p">=</span> <span class="s">{Ricci*, Kathryn and Chang*, Haw-Shiuan and Goyal, Purujit and McCallum, Andrew}</span><span class="p">,</span> 118 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the Third Workshop on Scholarly Document Processing}</span><span class="p">,</span> 119 <span class="na">pages</span> <span class="p">=</span> <span class="s">{95--104}</span><span class="p">,</span> 120 <span class="na">year</span> <span class="p">=</span> <span class="s">{2022}</span><span class="p">,</span> 121 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://aclanthology.org/2022.sdp-1.11.pdf}</span> 122<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">NAACL WS</abbr></div> <div id="kang2022augmenting" class="col-sm-8"> <div class="title">Augmenting Scientific Creativity with Retrieval across Knowledge Domains</div> <div class="author"> Hyeonsu B. Kang*, Sheshera Mysore*, Kevin Huang*, <em>Haw-Shiuan Chang</em>, Thorben Prein, Andrew McCallum, Aniket Kittur, and Elsa Olivetti</div> <div class="periodical"> <em>In Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2206.01328" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">kang2022augmenting</span><span class="p">,</span> 123 <span class="na">title</span> <span class="p">=</span> <span class="s">{Augmenting Scientific Creativity with Retrieval across Knowledge Domains}</span><span class="p">,</span> 124 <span class="na">author</span> <span class="p">=</span> <span class="s">{Kang*, Hyeonsu B. and Mysore*, Sheshera and Huang*, Kevin and Chang, Haw-Shiuan and Prein, Thorben and McCallum, Andrew and Kittur, Aniket and Olivetti, Elsa}</span><span class="p">,</span> 125 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)}</span><span class="p">,</span> 126 <span class="na">year</span> <span class="p">=</span> <span class="s">{2022}</span><span class="p">,</span> 127 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2206.01328}</span> 128<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2021</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EACL Oral</abbr></div> <div id="chang2021changing" class="col-sm-8"> <div class="title">Changing the Mind of Transformers for Topically-Controllable Language Generation</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Jiaming Yuan, Mohit Iyyer, and Andrew McCallum</div> <div class="periodical"> <em>In Conference of the European Chapter of the Association for Computational Linguistics (EACL) (Oral)</em>, 2021 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2103.15335" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://slideslive.com/38954487/changing-the-mind-of-transformers-for-topicallycontrollable-language-generation" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/iesl/interactive_LM" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/proj1-nlp-interactive_LM-EACL_interactive_LM-p
128oster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/proj1-nlp-interactive_LM-EACL_interactive_LM-slides.key" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2021changing</span><span class="p">,</span> 129 <span class="na">title</span> <span class="p">=</span> <span class="s">{Changing the Mind of Transformers for Topically-Controllable Language Generation}</span><span class="p">,</span> 130 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Yuan, Jiaming and Iyyer, Mohit and McCallum, Andrew}</span><span class="p">,</span> 131 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Conference of the European Chapter of the Association for Computational Linguistics (EACL) (Oral)}</span><span class="p">,</span> 132 <span class="na">year</span> <span class="p">=</span> <span class="s">{2021}</span><span class="p">,</span> 133 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2103.15335}</span><span class="p">,</span> 134<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://slideslive.com/38954487/changing-the-mind-of-transformers-for-topicallycontrollable-language-generation" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EACL Oral</abbr></div> <div id="chang2021multi-facet" class="col-sm-8"> <div class="title">Multi-facet Universal Schema</div> <div class="author"> Rohan Paul*, <em>Haw-Shiuan Chang*</em>, and Andrew McCallum</div> <div class="periodical"> <em>In Conference of the European Chapter of the Association for Computational Linguistics (EACL) (Oral)</em>, 2021 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2103.15339" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://slideslive.com/38954382/multifacet-universal-schema" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/rohanpaul11/multifacet-re" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/proj2-nlp-Multi-facet%20RE-EACL_multi-facet_RE_small-poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="/assets/pdf/proj2-nlp-Multi-facet%20RE-EACL_multi-facet_RE_small-slides.key" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2021multi-facet</span><span class="p">,</span> 135 <span class="na">title</span> <span class="p">=</span> <span class="s">{Multi-facet Universal Schema}</span><span class="p">,</span> 136 <span class="na">author</span> <span class="p">=</span> <span class="s">{Paul*, Rohan and Chang*, Haw-Shiuan and McCallum, Andrew}</span><span class="p">,</span> 137 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Conference of the European Chapter of the Association for Computational Linguistics (EACL) (Oral)}</span><span class="p">,</span> 138 <span class="na">year</span> <span class="p">=</span> <span class="s">{2021}</span><span class="p">,</span> 139 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2103.15339}</span><span class="p">,</span> 140<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://slideslive.com/38954382/multifacet-universal-schema" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">AAAI</abbr></div> <div id="chang2021extending" class="col-sm-8"> <div class="title">Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications</div> <div class="author"> <em>Haw-Shiuan Chang</em>
140, Amol Agrawal, and Andrew McCallum</div> <div class="periodical"> <em>In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)</em>, 2021 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2103.15330" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/proj3-nlp-Multi-facet%20Embeddings%20for%20Sentence%20Representation-poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> <a href="https://docs.google.com/presentation/d/1k-OBWdBYsGmXUuvNc1_J_JrEppB_Aqh82bJPCgjFL-s/edit?usp=sharing" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2021extending</span><span class="p">,</span> 141 <span class="na">title</span> <span class="p">=</span> <span class="s">{Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications}</span><span class="p">,</span> 142 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Agrawal, Amol and McCallum, Andrew}</span><span class="p">,</span> 143 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)}</span><span class="p">,</span> 144 <span class="na">year</span> <span class="p">=</span> <span class="s">{2021}</span><span class="p">,</span> 145 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2103.15330}</span><span class="p">,</span> 146<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EMNLP Short</abbr></div> <div id="Seoh_EMNLP_21" class="col-sm-8"> <div class="title">Open Aspect Target Sentiment Classification with Natural Language Prompts</div> <div class="author"> Ronald Seoh*, Ian Birle*, Mrinal Tak*, <em>Haw-Shiuan Chang*</em>, Brian Pinette, and Alfred Hough</div> <div class="periodical"> <em>In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)</em>, 2021 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2109.03685" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">Seoh_EMNLP_21</span><span class="p">,</span> 147 <span class="na">title</span> <span class="p">=</span> <span class="s">{Open Aspect Target Sentiment Classification with Natural Language Prompts}</span><span class="p">,</span> 148 <span class="na">author</span> <span class="p">=</span> <span class="s">{Seoh*, Ronald and Birle*, Ian and Tak*, Mrinal and Chang*, Haw-Shiuan and Pinette, Brian and Hough, Alfred}</span><span class="p">,</span> 149 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)}</span><span class="p">,</span> 150 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2109.03685}</span><span class="p">,</span> 151 <span class="na">year</span> <span class="p">=</span> <span class="s">{2021}</span> 152<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2020</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ML</abbr></div> <div id="chang2019ovecoming" class="col-sm-8"> <div class="title">Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, and Andrew McCallum</div> <div class="periodical"> <em>Machine Learning</em>, 2020 </div> <div class="periodical"> </div> <div class="links"> <a href="http://arxiv.org/abs/1911.07335" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a href="https://slideslive.com/38933012/using-error-decay-prediction-to-overcome-practical-issues-of-deep-active-learning-for-named-entity-recognition" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Talk</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://docs.google.com/presentation/d/1h3bI1dS8-vS5ItcfGOHN3J7Wi7dnWWBf0gA4-yBXrk4/edit?usp=sharing" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">chang2019ovecoming</span><span class="p">,</span> 153 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Vembu, Shankar and Mohan, Sunil and Uppaal, Rheeya and McCallum, Andrew}</span><span class="p">,</span> 154 <span class="na">
154journal</span> <span class="p">=</span> <span class="s">{Machine Learning}</span><span class="p">,</span> 155 <span class="na">paper</span> <span class="p">=</span> <span class="s">{http://arxiv.org/abs/1911.07335}</span><span class="p">,</span> 156 <span class="na">title</span> <span class="p">=</span> <span class="s">{Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition}</span><span class="p">,</span> 157 <span class="na">year</span> <span class="p">=</span> <span class="s">{2020}</span><span class="p">,</span> 158 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1007/s10994-020-05897-1}</span><span class="p">,</span> 159 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{Springer}</span><span class="p">,</span> 160<span class="p">}</span></code></pre></figure> </div> <div class="abstract hidden"> <div style="text-align: center;"> <figure> <iframe src="https://slideslive.com/38933012/using-error-decay-prediction-to-overcome-practical-issues-of-deep-active-learning-for-named-entity-recognition" class="img-fluid rounded z-depth-1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" width="auto" height="auto"></iframe> </figure> </div> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">KDD</abbr></div> <div id="DBLP:conf/kdd/DongHKLLMXZZSDM20" class="col-sm-8"> <div class="title">AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types</div> <div class="author"> Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, and <span class="more-authors" title="click to view 12 more authors" onclick=" var element=$(this); element.attr('title', ''); var more_authors_text=element.text() == '12 more authors' ? 'Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han' : '12 more authors'; var cursorPosition=0; var textAdder=setInterval(function(){ element.text(more_authors_text.substring(0, cursorPosition + 1)); if (++cursorPosition == more_authors_text.length){ clearInterval(textAdder); } }, '10'); ">12 more authors</span> </div> <div class="periodical"> <em>In KDD â20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020</em>, 2020 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/2006.13473" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">DBLP:conf/kdd/DongHKLLMXZZSDM20</span><span class="p">,</span> 161 <span class="na">author</span> <span class="p">=</span> <span class="s">{Dong, Xin Luna and He, Xiang and Kan, Andrey and Li, Xian and Liang, Yan and Ma, Jun and Xu, Yifan Ethan and Zhang, Chenwei and Zhao, Tong and Saldana, Gabriel Blanco and Deshpande, Saurabh and Manduca, Alexandre Michetti and Ren, Jay and Singh, Surender Pal and Xiao, Fan and Chang, Haw{-}Shiuan and Karamanolakis, Giannis and Mao, Yuning and Wang, Yaqing and Faloutsos, Christos and McCallum, Andrew and Han, Jiawei}</span><span class="p">,</span> 162 <span class="na">title</span> <span class="p">=</span> <span class="s">{AutoKnow: Self-Driving Knowledge Collection for Products of Thousands 163 of Types}</span><span class="p">,</span> 164 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{{KDD} '20: The 26th {ACM} {SIGKDD} Conference on Knowledge Discovery 165 and Data Mining, Virtual Event, CA, USA, August 23-27, 2020}</span><span class="p">,</span> 166 <span class="na">pages</span> <span class="p">=</span> <span class="s">{2724--2734}</span><span class="p">,</span> 167 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{{ACM}}</span><span class="p">,</span> 168 <span class="na">year</span> <span class="p">=</span> <span class="s">{2020}</span><span class="p">,</span> 169 <span class="na">url</span> <span class="p">=</span> <span class="s">
169{https://doi.org/10.1145/3394486.3403323}</span><span class="p">,</span> 170 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1145/3394486.3403323}</span><span class="p">,</span> 171 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/2006.13473}</span> 172<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">JCIM</abbr></div> <div id="DBLP:journals/jcisd/KimJGHSMCSMJO20" class="col-sm-8"> <div class="title">Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks</div> <div class="author"> Edward Kim, Zach Jensen, Alexander Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, <em>Haw-Shiuan Chang</em>, Emma Strubell, Andrew McCallum, Stefanie Jegelka, and <span class="more-authors" title="click to view 1 more author" onclick=" var element=$(this); element.attr('title', ''); var more_authors_text=element.text() == '1 more author' ? 'Elsa Olivetti' : '1 more author'; var cursorPosition=0; var textAdder=setInterval(function(){ element.text(more_authors_text.substring(0, cursorPosition + 1)); if (++cursorPosition == more_authors_text.length){ clearInterval(textAdder); } }, '10'); ">1 more author</span> </div> <div class="periodical"> <em>J. Chem. Inf. Model.</em>, 2020 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/1901.00032" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">DBLP:journals/jcisd/KimJGHSMCSMJO20</span><span class="p">,</span> 173 <span class="na">author</span> <span class="p">=</span> <span class="s">{Kim, Edward and Jensen, Zach and van Grootel, Alexander and Huang, Kevin and Staib, Matthew and Mysore, Sheshera and Chang, Haw{-}Shiuan and Strubell, Emma and McCallum, Andrew and Jegelka, Stefanie and Olivetti, Elsa}</span><span class="p">,</span> 174 <span class="na">title</span> <span class="p">=</span> <span class="s">{Inorganic Materials Synthesis Planning with Literature-Trained Neural 175 Networks}</span><span class="p">,</span> 176 <span class="na">journal</span> <span class="p">=</span> <span class="s">{J. Chem. Inf. Model.}</span><span class="p">,</span> 177 <span class="na">volume</span> <span class="p">=</span> <span class="s">{60}</span><span class="p">,</span> 178 <span class="na">number</span> <span class="p">=</span> <span class="s">{3}</span><span class="p">,</span> 179 <span class="na">pages</span> <span class="p">=</span> <span class="s">{1194--1201}</span><span class="p">,</span> 180 <span class="na">year</span> <span class="p">=</span> <span class="s">{2020}</span><span class="p">,</span> 181 <span class="na">url</span> <span class="p">=</span> <span class="s">{https://doi.org/10.1021/acs.jcim.9b00995}</span><span class="p">,</span> 182 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1021/acs.jcim.9b00995}</span><span class="p">,</span> 183 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/1901.00032}</span> 184<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2019</h2> <ol class="bibliography"><li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">LAW</abbr></div> <div id="mysore2019msannlaw" class="col-sm-8"> <div class="title">The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures</div> <div class="author"> Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, <em>Haw-Shiuan Chang</em>, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, and Elsa Olivetti</div> <div class="periodical"> <em>In Proceedings of the 13th Linguistic Annotation Workshop at ACL</em>, 2019 </div> <div class="periodical"> </div> <div class="links"> <a href="https://sigann.github.io/LAW-XIII-2019/pdf/W19-4007.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">mysore2019msannlaw</span><span class="p">,</span> 185 <span class="na">title</span> <span class="p">=</span> <span class="s">{The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures}</span><span class="p">,</span> 186 <span class="na">author</span> <span class="p">=</span> <span class="s">{Mysore, Sheshera and Jensen, Zach and Kim, Edward and Huang, Kevin and Chang, Haw-Shiuan and Strubell, Emma and Flanigan, Jeffrey and McCallum, Andrew and Olivetti, Elsa}</span><span class="p">,</span> 187 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Proceedings of the 13th Linguistic Annotation Workshop at ACL}</span><span class="p">,</span> 188 <span class="na">year</span> <span class="p">=</span> <span class="s">{2019}</span><span class="p">,</span> 189 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://sigann.github.io/LAW-XIII-2019/pdf/W19-4007.pdf}</span> 190<span class="p">}</span></code></pre></figure> </div> </div> </div> </li></ol> <h2 class="bibliography">2018</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">TMM</abbr></div> <div id="DBLP:journals/tmm/ChangHHC18" class="col-sm-8"> <div class="title">Active Learning for Crowdsourced QoE Modeling</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Chih-Fan Hsu, Tobias HoÃfeld, and Kuan-Ta Chen</div> <div class="periodical"> <em>IEEE Trans. Multim.</em>, 2018 </div> <div class="periodical"> </div> <div class="links">
190 <a href="/assets/pdf/proj9-cv-Active%20Sampling%20for%20estimating%20QoE%20model-paper.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">DBLP:journals/tmm/ChangHHC18</span><span class="p">,</span> 191 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw{-}Shiuan and Hsu, Chih{-}Fan and Ho{\ss}feld, Tobias and Chen, Kuan{-}Ta}</span><span class="p">,</span> 192 <span class="na">title</span> <span class="p">=</span> <span class="s">{Active Learning for Crowdsourced QoE Modeling}</span><span class="p">,</span> 193 <span class="na">journal</span> <span class="p">=</span> <span class="s">{{IEEE} Trans. Multim.}</span><span class="p">,</span> 194 <span class="na">volume</span> <span class="p">=</span> <span class="s">{20}</span><span class="p">,</span> 195 <span class="na">number</span> <span class="p">=</span> <span class="s">{12}</span><span class="p">,</span> 196 <span class="na">pages</span> <span class="p">=</span> <span class="s">{3337--3352}</span><span class="p">,</span> 197 <span class="na">year</span> <span class="p">=</span> <span class="s">{2018}</span><span class="p">,</span> 198 <span class="na">paper</span> <span class="p">=</span> <span class="s">{proj9-cv-Active Sampling for estimating QoE model-paper.pdf}</span> 199<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">NAACL</abbr></div> <div id="chang2017unsupervised" class="col-sm-8"> <div class="title">Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection</div> <div class="author"> <em>Haw-Shiuan Chang</em>, ZiYun Wang, Luke Vilnis, and Andrew McCallum</div> <div class="periodical"> <em>In Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT/NAACL)</em>, 2018 </div> <div class="periodical"> </div> <div class="links"> <a href="http://arxiv.org/abs/1710.00880" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/iesl/Distributional-Inclusion-Vector-Embedding" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/proj5-nlp-DIVE-poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">chang2017unsupervised</span><span class="p">,</span> 200 <span class="na">title</span> <span class="p">=</span> <span class="s">{Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection}</span><span class="p">,</span> 201 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Wang, ZiYun and Vilnis, Luke and McCallum, Andrew}</span><span class="p">,</span> 202 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT/NAACL)}</span><span class="p">,</span> 203 <span class="na">paper</span> <span class="p">=</span> <span class="s">{http://arxiv.org/abs/1710.00880}</span><span class="p">,</span> 204 <span class="na">year</span> <span class="p">=</span> <span class="s">{2018}</span><span class="p">,</span> 205<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">TextGraphs</abbr></div> <div id="conf/TextGraph18/Chang18" class="col-sm-8"> <div class="title">Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings</div> <div class="author"> <em>Haw-Shiuan Chang</em>
205, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, and Andrew McCallum</div> <div class="periodical"> <em>In TextGraphs-12: the Workshop on Graph-based Methods for Natural Language Processing (NAACL WS)</em>, 2018 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/1804.03257" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/proj5-nlp-DIVE-slides.pdf" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">conf/TextGraph18/Chang18</span><span class="p">,</span> 206 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Agrawal, Amol and Ganesh, Ananya and Desai, Anirudha and Mathur, Vinayak and Hough, Alfred and McCallum, Andrew}</span><span class="p">,</span> 207 <span class="na">title</span> <span class="p">=</span> <span class="s">{Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings}</span><span class="p">,</span> 208 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{TextGraphs-12: the Workshop on Graph-based Methods for Natural Language Processing (NAACL WS)}</span><span class="p">,</span> 209 <span class="na">year</span> <span class="p">=</span> <span class="s">{2018}</span><span class="p">,</span> 210 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/1804.03257}</span> 211<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2017</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">NeurIPS</abbr></div> <div id="DBLP:conf/nips/ChangLM17" class="col-sm-8"> <div class="title">Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Erik G. Learned-Miller, and Andrew McCallum</div> <div class="periodical"> <em>In Advances in Neural Information Processing Systems (NeurIPS)</em>, 2017 </div> <div class="periodical"> </div> <div class="links"> <a href="http://arxiv.org/abs/1704.07433" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="http://people.umass.edu/hawshiuancha/NIPS_poster_active_bias.pdf" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Poster</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">DBLP:conf/nips/ChangLM17</span><span class="p">,</span> 212 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw{-}Shiuan and Learned{-}Miller, Erik G. and McCallum, Andrew}</span><span class="p">,</span> 213 <span class="na">title</span> <span class="p">=</span> <span class="s">{Active Bias: Training a More Accurate Neural Network by Emphasizing 214 High Variance Samples}</span><span class="p">,</span> 215 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Advances in Neural Information Processing Systems (NeurIPS)}</span><span class="p">,</span> 216 <span class="na">year</span> <span class="p">=</span> <span class="s">{2017}</span><span class="p">,</span> 217 <span class="na">paper</span> <span class="p">=</span> <span class="s">{http://arxiv.org/abs/1704.07433}</span> 218<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">NeurIPS WS</abbr></div> <div id="mysore2017automatically" class="col-sm-8"> <div class="title">Automatically Extracting Action Graphs from Materials Science Synthesis Procedures</div> <div class="author"> Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, <em>Haw-Shiuan Chang</em>, Srikrishna Kompella, Kevin Huang, Andrew McCallum, and Elsa Olivetti</div> <div class="periodical"> <em>In Workshop on Machine Learning for Molecules and Materials at NIPS</em>, 2017 </div> <div class="periodical"> </div> <div class="links"> <a href="https://arxiv.org/abs/1711.06872" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">mysore2017automatically</span><span class="p">,</span> 219 <span class="na">title</span> <span class="p">=</span> <span class="s">{Automatically Extracting Action Graphs from Materials Science Synthesis Procedures}</span><span class="p">,</span> 220 <span class="na">author</span> <span class="p">=</span> <span class="s">{Mysore, Sheshera and Kim, Edward and Strubell, Emma and Liu, Ao and Chang, Haw-Shiuan and Kompella, Srikrishna and Huang, Kevin and McCallum, Andrew and Olivetti, Elsa}</span><span class="p">,</span> 221 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Workshop on Machine Learning for Molecules and Materials at NIPS}</span><span class="p">,</span> 222 <span class="na">year</span> <span class="p">=</span> <span class="s">{2017}</span><span class="p">,</span> 223 <span class="na">paper</span> <span class="p">=</span> <span class="s">{https://arxiv.org/abs/1711.06872}</span> 224<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2016</h2> <ol class="bibliography"><li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">TAC/KBP</abbr></div>
224 <div id="DBLP:conf/tac/Chang16" class="col-sm-8"> <div class="title">Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, and Andrew McCallum</div> <div class="periodical"> <em>In Text Analysis Conference, Knowledge Base Population (TAC/KBP)</em>, 2016 </div> <div class="periodical"> </div> <div class="links"> <a href="/assets/pdf/proj6-nlp-UMASS%20TAC%202016-paper.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">DBLP:conf/tac/Chang16</span><span class="p">,</span> 225 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Munir, Abdurrahman and Liu, Ao and Wei, Johnny Tian-Zheng and Traylor, Aaron and Nagesh, Ajay and Monath, Nicholas and Verga, Patrick and Strubell, Emma and McCallum, Andrew}</span><span class="p">,</span> 226 <span class="na">title</span> <span class="p">=</span> <span class="s">{Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema}</span><span class="p">,</span> 227 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Text Analysis Conference, Knowledge Base Population (TAC/KBP)}</span><span class="p">,</span> 228 <span class="na">year</span> <span class="p">=</span> <span class="s">{2016}</span><span class="p">,</span> 229 <span class="na">paper</span> <span class="p">=</span> <span class="s">{proj6-nlp-UMASS TAC 2016-paper.pdf}</span> 230<span class="p">}</span></code></pre></figure> </div> </div> </div> </li></ol> <h2 class="bibliography">2015</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">EDM Short</abbr></div> <div id="DBLP:conf/edm/ChangHC15" class="col-sm-8"> <div class="title">Modeling Exercise Relationships in E-Learning: A Unified Approach</div> <div class="author"> <em>Haw-Shiuan Chang</em>, Hwai-Jung Hsu, and Kuan-Ta Chen</div> <div class="periodical"> <em>In International Conference on Educational Data Mining (EDM)</em>, 2015 </div> <div class="periodical"> </div> <div class="links"> <a href="/assets/pdf/proj8-education-student%20modeling-paper.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a href="https://drive.google.com/file/d/1V5nEwmVkPclj_ZR-bKt9xzW7ApT6ZJo-/view?usp=sharing" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Demo</a> <a href="https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=1198" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="external nofollow noopener">Dataset</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://drive.google.com/file/d/0B5uQArU2vNEvYjk2d3dsOEFjUlU/view?usp=drive_link&resourcekey=0-a5xZw9Q9JEbvKKjfniyJdQ" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="/assets/pdf/proj8-education-student%20modeling-presentation.pptx" class="btn btn-sm z-depth-0" role="button">Slides</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">DBLP:conf/edm/ChangHC15</span><span class="p">,</span> 231 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw{-}Shiuan and Hsu, Hwai{-}Jung and Chen, Kuan{-}Ta}</span><span class="p">,</span> 232 <span class="na">title</span> <span class="p">=</span> <span class="s">{Modeling Exercise Relationships in E-Learning: A Unified Approach}</span><span class="p">,</span> 233 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">
233{International Conference on Educational Data Mining (EDM)}</span><span class="p">,</span> 234 <span class="na">year</span> <span class="p">=</span> <span class="s">{2015}</span><span class="p">,</span> 235 <span class="na">paper</span> <span class="p">=</span> <span class="s">{proj8-education-student modeling-paper.pdf}</span><span class="p">,</span> 236 <span class="na">demo</span> <span class="p">=</span> <span class="s">{https://drive.google.com/file/d/1V5nEwmVkPclj_ZR-bKt9xzW7ApT6ZJo-/view?usp=sharing}</span><span class="p">,</span> 237 <span class="na">dataset</span> <span class="p">=</span> <span class="s">{https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=1198}</span> 238<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">CVIU</abbr></div> <div id="CHANG201518" class="col-sm-8"> <div class="title">Optimizing the Decomposition for Multiple Foreground Cosegmentation</div> <div class="author"> <em>Haw-Shiuan Chang</em>, and Yu-Chiang Frank Wang</div> <div class="periodical"> <em>Computer Vision and Image Understanding (CVIU)</em>, 2015 </div> <div class="periodical"> </div> <div class="links"> <a href="/assets/pdf/proj11-cv-Decomposition%20of%20Multiple%20Foreground%20Co-segmentation-paper.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">CHANG201518</span><span class="p">,</span> 239 <span class="na">title</span> <span class="p">=</span> <span class="s">{Optimizing the Decomposition for Multiple Foreground Cosegmentation}</span><span class="p">,</span> 240 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Computer Vision and Image Understanding (CVIU)}</span><span class="p">,</span> 241 <span class="na">volume</span> <span class="p">=</span> <span class="s">{141}</span><span class="p">,</span> 242 <span class="na">pages</span> <span class="p">=</span> <span class="s">{18-27}</span><span class="p">,</span> 243 <span class="na">year</span> <span class="p">=</span> <span class="s">{2015}</span><span class="p">,</span> 244 <span class="na">issn</span> <span class="p">=</span> <span class="s">{1077-3142}</span><span class="p">,</span> 245 <span class="na">doi</span> <span class="p">=</span> <span class="s">{https://doi.org/10.1016/j.cviu.2015.06.004}</span><span class="p">,</span> 246 <span class="na">url</span> <span class="p">=</span> <span class="s">{https://www.sciencedirect.com/science/article/pii/S1077314215001320}</span><span class="p">,</span> 247 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw-Shiuan and Wang, Yu-Chiang Frank}</span><span class="p">,</span> 248 <span class="na">paper</span> <span class="p">=</span> <span class="s">{proj11-cv-Decomposition of Multiple Foreground Co-segmentation-paper.pdf}</span> 249<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> <h2 class="bibliography">2014</h2> <ol class="bibliography"><li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ACCV</abbr></div> <div id="DBLP:conf/accv/ChangW14" class="col-sm-8"> <div class="title">Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation</div> <div class="author"> <em>Haw-Shiuan Chang</em>, and Yu-Chiang Frank Wang</div> <div class="periodical"> <em>In Asian Conference on Computer Vision (ACCV)</em>, 2014 </div> <div class="periodical"> </div> <div class="links"> <a href="/assets/pdf/proj10-cv-Hierarchical%20Image%20Segmentation%20without%20Training-paper.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/proj10-cv-Hierarchical%20Image%20Segmentation%20without%20Training-poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">DBLP:conf/accv/ChangW14</span><span class="p">,</span> 250 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw{-}Shiuan and Wang, Yu{-}Chiang Frank}</span><span class="p">,</span> 251 <span class="na">
251editor</span> <span class="p">=</span> <span class="s">{Cremers, Daniel and Reid, Ian D. and Saito, Hideo and Yang, Ming{-}Hsuan}</span><span class="p">,</span> 252 <span class="na">title</span> <span class="p">=</span> <span class="s">{Simple-to-Complex Discriminative Clustering for Hierarchical Image 253 Segmentation}</span><span class="p">,</span> 254 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Asian Conference on Computer Vision (ACCV)}</span><span class="p">,</span> 255 <span class="na">series</span> <span class="p">=</span> <span class="s">{Lecture Notes in Computer Science}</span><span class="p">,</span> 256 <span class="na">volume</span> <span class="p">=</span> <span class="s">{9005}</span><span class="p">,</span> 257 <span class="na">pages</span> <span class="p">=</span> <span class="s">{391--407}</span><span class="p">,</span> 258 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{Springer}</span><span class="p">,</span> 259 <span class="na">year</span> <span class="p">=</span> <span class="s">{2014}</span><span class="p">,</span> 260 <span class="na">url</span> <span class="p">=</span> <span class="s">{https://doi.org/10.1007/978-3-319-16811-1\_26}</span><span class="p">,</span> 261 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1007/978-3-319-16811-1\_26}</span><span class="p">,</span> 262 <span class="na">paper</span> <span class="p">=</span> <span class="s">{proj10-cv-Hierarchical Image Segmentation without Training-paper.pdf}</span> 263<span class="p">}</span></code></pre></figure> </div> </div> </div> </li></ol> <h2 class="bibliography">2013</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">ICIP</abbr></div> <div id="DBLP:conf/icip/ChangW13" class="col-sm-8"> <div class="title">Superpixel-based Large Displacement Optical Flow</div> <div class="author"> <em>Haw-Shiuan Chang</em>, and Yu-Chiang Frank Wang</div> <div class="periodical"> <em>In IEEE International Conference on Image Processing, ICIP</em>, 2013 </div> <div class="periodical"> </div> <div class="links"> <a href="/assets/pdf/proj12-cv-Superpixel-Based%20Large%20Displacement%20Optical%20Flow-paper.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="/assets/pdf/proj12-cv-Superpixel-Based%20Large%20Displacement%20Optical%20Flow-poster.pdf" class="btn btn-sm z-depth-0" role="button">Poster</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">DBLP:conf/icip/ChangW13</span><span class="p">,</span> 264 <span class="na">author</span> <span class="p">=</span> <span class="s">{Chang, Haw{-}Shiuan and Wang, Yu{-}Chiang Frank}</span><span class="p">,</span> 265 <span class="na">title</span> <span class="p">=</span> <span class="s">{Superpixel-based Large Displacement Optical Flow}</span><span class="p">,</span> 266 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{{IEEE} International Conference on Image Processing, {ICIP}}</span><span class="p">,</span> 267 <span class="na">pages</span> <span class="p">=</span> <span class="s">{3835--3839}</span><span class="p">,</span> 268 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{{IEEE}}</span><span class="p">,</span> 269 <span class="na">year</span> <span class="p">=</span> <span class="s">{2013}</span><span class="p">,</span> 270 <span class="na">url</span> <span class="p">=</span> <span class="s">{https://doi.org/10.1109/ICIP.2013.6738790}</span><span class="p">,</span> 271 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1109/ICIP.2013.6738790}</span><span class="p">,</span> 272 <span class="na">paper</span> <span class="p">=</span> <span class="s">{proj12-cv-Superpixel-Based Large Displacement Optical Flow-paper.pdf}</span> 273<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col-sm-2 abbr"><abbr class="badge">TIP</abbr></div> <div id="6482623" class="col-sm-8"> <div class="title">Exploring Visual and Motion Saliency for Automatic Video Object Extraction</div> <div class="author"> Wei-Te Li, <em>Haw-Shiuan Chang</em>
273, Kuo-Chin Lien, Hui-Tang Chang, and Yu-Chiang Frank Wang</div> <div class="periodical"> <em>IEEE Transactions on Image Processing</em>, 2013 </div> <div class="periodical"> </div> <div class="links"> <a href="/assets/pdf/pub-cv-tip2013-Exploring_Visual_and_Motion_Saliency_for_Automatic_Video_Object_Extraction.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank">Paper</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">6482623</span><span class="p">,</span> 274 <span class="na">author</span> <span class="p">=</span> <span class="s">{Li, Wei-Te and Chang, Haw-Shiuan and Lien, Kuo-Chin and Chang, Hui-Tang and Wang, Yu-Chiang Frank}</span><span class="p">,</span> 275 <span class="na">journal</span> <span class="p">=</span> <span class="s">{IEEE Transactions on Image Processing}</span><span class="p">,</span> 276 <span class="na">title</span> <span class="p">=</span> <span class="s">{Exploring Visual and Motion Saliency for Automatic Video Object Extraction}</span><span class="p">,</span> 277 <span class="na">year</span> <span class="p">=</span> <span class="s">{2013}</span><span class="p">,</span> 278 <span class="na">volume</span> <span class="p">=</span> <span class="s">{22}</span><span class="p">,</span> 279 <span class="na">number</span> <span class="p">=</span> <span class="s">{7}</span><span class="p">,</span> 280 <span class="na">pages</span> <span class="p">=</span> <span class="s">{2600-2610}</span><span class="p">,</span> 281 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1109/TIP.2013.2253483}</span><span class="p">,</span> 282 <span class="na">paper</span> <span class="p">=</span> <span class="s">{pub-cv-tip2013-Exploring_Visual_and_Motion_Saliency_for_Automatic_Video_Object_Extraction.pdf}</span> 283<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> </ol> </div> </article> </div> </div> <footer class="fixed-bottom"> <div class="container mt-0"> © Copyright 2026 Haw-Shiuan Chang. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme. Hosted by <a href="https://pages.github.com/" target="_blank" rel="external nofollow noopener">GitHub Pages</a>. </div> </footer>
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283 </header> </body> </html>
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.