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1 <p><input type="text" id="bibsearch" spellcheck="false" autocomplete="off" class="search bibsearch-form-input" placeholder="Type to filter"></p> <div class="publications"> <h2 class="bibliography">2026</h2> <ol class="bibliography"> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICML</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/merci-480.webp 480w,/assets/img/publication_preview/merci-800.webp 800w,/assets/img/publication_preview/merci-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/merci.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="merci.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="xu2026discretized" class="col-sm-8"> <div class="title">Discretized Density-Guided Source-Free Domain Adaptation for Regression</div> <div class="author"> <em>Gezheng Xu</em>, Qi Chen, Qiuhao Zeng, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>In International Conference on Machine Learning (ICML)</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <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">xu2026discretized</span><span class="p">,</span> 2 <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Gezheng and Chen, Qi and Zeng, Qiuhao and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 3 <span class="na">title</span> <span class="p">=</span> <span class="s">{Discretized Density-Guided Source-Free Domain Adaptation for Regression}</span><span class="p">,</span> 4 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Machine Learning (ICML)}</span><span class="p">,</span> 5 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span><span class="p">,</span> 6<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICML</abbr> </div> <div id="cai2026fuse" class="col-sm-8"> <div class="title">FUSE: Full-spectrum Unlearnable Examples via Spectral Equalization</div> <div class="author"> Jiale Cai, <em>Gezheng Xu</em>, Zhihao Li, Ruiyi Fang, Ruizhi Pu, Di Wu, Qicheng Lao, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>In International Conference on Machine Learning (ICML)</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <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">cai2026fuse</span><span class="p">,</span> 7 <span class="na">author</span> <span class="p">=</span> <span class="s">{Cai, Jiale and Xu, Gezheng and Li, Zhihao and Fang, Ruiyi and Pu, Ruizhi and Wu, Di and Lao, Qicheng and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 8 <span class="na">title</span> <span class="p">=</span> <span class="s">{{FUSE}: Full-spectrum Unlearnable Examples via Spectral Equalization}</span><span class="p">,</span> 9 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Machine Learning (ICML)}</span><span class="p">,</span> 10 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span><span class="p">,</span> 11<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICML</abbr> </div> <div id="yang2026baguan" class="col-sm-8"> <div class="title">Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forec
11asting with Covariates</div> <div class="author"> Linxiao Yang, Xue Jiang, <em>Gezheng Xu</em>, Tian Zhou, Min Yang, ZhaoYang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, and Liang Sun </div> <div class="periodical"> <em>In International Conference on Machine Learning (ICML)</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <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">yang2026baguan</span><span class="p">,</span> 12 <span class="na">author</span> <span class="p">=</span> <span class="s">{Yang, Linxiao and Jiang, Xue and Xu, Gezheng and Zhou, Tian and Yang, Min and Zhu, ZhaoYang and Geng, Linyuan and Zeng, Zhipeng and Chen, Qiming and Gu, Xinyue and Jin, Rong and Sun, Liang}</span><span class="p">,</span> 13 <span class="na">title</span> <span class="p">=</span> <span class="s">{Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates}</span><span class="p">,</span> 14 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Machine Learning (ICML)}</span><span class="p">,</span> 15 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span><span class="p">,</span> 16<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICML</abbr> </div> <div id="zeng2026attention" class="col-sm-8"> <div class="title">Attention with Routed-Memory for Learnable Sparse Control</div> <div class="author"> Qiuhao Zeng, Jerry Huang, Peng Lu, Ruiyi Fang, <em>Gezheng Xu</em>, Zihao Jing, Yufei Cui, Charles Ling, Gang Niu, and Boyu Wang </div> <div class="periodical"> <em>In International Conference on Machine Learning (ICML)</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <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">zeng2026attention</span><span class="p">,</span> 17 <span class="na">author</span> <span class="p">=</span> <span class="s">{Zeng, Qiuhao and Huang, Jerry and Lu, Peng and Fang, Ruiyi and Xu, Gezheng and Jing, Zihao and Cui, Yufei and Ling, Charles and Niu, Gang and Wang, Boyu}</span><span class="p">,</span> 18 <span class="na">title</span> <span class="p">=</span> <span class="s">{Attention with Routed-Memory for Learnable Sparse Control}</span><span class="p">,</span> 19 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Machine Learning (ICML)}</span><span class="p">,</span> 20 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span><span class="p">,</span> 21<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICLR</abbr> </div> <div id="li2026priors" class="col-sm-8"> <div class="title">When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining</div> <div class="author"> Zhihao Li, <em>Gezheng Xu</em>, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>In International Conference on Learning Representations (ICLR)</em>, 2026 </div> <div class="periodical"> </div> <div class="links"> <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">li2026priors</span><span class="p">,</span> 22 <span class="na">author</span> <span class="p">=</span> <span class="s">{Li, Zhihao and Xu, Gezheng and Cai, Jiale and Fang, Ruiyi and Wu, Di and Lao, Qicheng and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 23 <span class="na">title</span> <span class="p">=</span> <span class="s">{When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining}</span><span class="p">,</span> 24 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Learning Representations (ICLR)}</span><span class="p">,</span> 25 <span class="na">year</span> <span class="p">=</span> <span class="s">{2026}</span><span class="p">,</span> 26<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 col-sm-2 abbr"> <abbr class="badge rounded w-100">TPAMI</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/2025tpami_Unraveling-480.webp 480w,/assets/img/publication_preview/2025tpami_Unraveling-800.webp 800w,/assets/img/publication_preview/2025tpami_Unraveling-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/2025tpami_Unraveling.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="2025tpami_Unraveling.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="xu2025unraveling" class="col-sm-8"> <div class="title">
26Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice</div> <div class="author"> <em>Gezheng Xu<sup>*</sup></em>, Li Yi<sup>*</sup>, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Changjian Shui, Charles Ling, A. Ian McLeod, and Boyu Wang </div> <div class="periodical"> <em>IEEE Transactions on Pattern Analysis and Machine Intelligence</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a href="https://doi.org/10.1109/TPAMI.2025.3536845" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">DOI</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/xugezheng/labelNoiseInSFDA" 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">xu2025unraveling</span><span class="p">,</span> 27 <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Gezheng and Yi, Li and Xu, Pengcheng and Li, Jiaqi and Pu, Ruizhi and Shui, Changjian and Ling, Charles and McLeod, A. Ian and Wang, Boyu}</span><span class="p">,</span> 28 <span class="na">journal</span> <span class="p">=</span> <span class="s">{IEEE Transactions on Pattern Analysis and Machine Intelligence}</span><span class="p">,</span> 29 <span class="na">title</span> <span class="p">=</span> <span class="s">{Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice}</span><span class="p">,</span> 30 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 31 <span class="na">doi</span> <span class="p">=</span> <span class="s">{10.1109/TPAMI.2025.3536845}</span><span class="p">,</span> 32<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICLR</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/2025iclr_uconsfda-480.webp 480w,/assets/img/publication_preview/2025iclr_uconsfda-800.webp 800w,/assets/img/publication_preview/2025iclr_uconsfda-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/2025iclr_uconsfda.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="2025iclr_uconsfda.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="xu2025revisiting" class="col-sm-8"> <div class="title">Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control</div> <div class="author"> <em>Gezheng Xu<sup>*</sup></em>, Hui Guo<sup>*</sup>, Li Yi, Charles Ling, Boyu Wang, and Grace Yi </div> <div class="periodical"> <em>In International Conference on Learning Representations (ICLR)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/xugezheng/UCon_SFDA" 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">@inproceedings</span><span class="p">{</span><span class="nl">xu2025revisiting</span><span class="p">,</span> 33 <span class="na">title</span> <span class="p">=</span> <span class="s">{Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control}</span><span class="p">,</span> 34 <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Gezheng and Guo, Hui and Yi, Li and Ling, Charles and Wang, Boyu and Yi, Grace}</span><span class="p">,</span> 35 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Learning Representations (ICLR)}</span><span class="p">,</span> 36 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 37<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">NeurIPS</abbr> </div> <div id="li2025versatile" class="col-sm-8"> <div class="title">Versatile Transferable Unlearnable Example Generator</div> <div class="author"> Zhihao Li, Jiale Cai, <em>Gezheng Xu</em>, Hao Zheng, Qiuyue Li, Fan Zhou, Shichun Yang, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>In Neural Information Processing Systems (NeurIPS)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <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">li2025versatile</span><span class="p">,</span> 38 <span class="na">author</span> <span class="p">=</span> <span class="s">{Li, Zhihao and Cai, Jiale and Xu, Gezheng and Zheng, Hao and Li, Qiuyue and Zhou, Fan and Yang, Shichun and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 39 <span class="na">title</span> <span class="p">=</span> <span class="s">{Versatile Transferable Unlearnable Example Generator}</span><span class="p">,</span> 40 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Neural Information Processing Systems (NeurIPS)}</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="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICML</abbr> </div> <div id="fang2025homophily" class="col-sm-8"> <div class="title">Homophily Enhanced Graph Domain Adaptation</div> <div class="author"> Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, <em>Gezheng Xu</em>, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>In International Conference on Machine Learning (ICML)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <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">fang2025homophily</span><span class="p">,</span> 43 <span class="na">author</span> <span class="p">=</span> <span class="s">{Fang, Ruiyi and Li, Bingheng and Zhao, Jingyu and Pu, Ruizhi and Zeng, Qiuhao and Xu, Gezheng and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 44 <span class="na">title</span> <span class="p">=</span> <span class="s">{Homophily Enhanced Graph Domain Adaptation}</span><span class="p">,</span> 45 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Machine Learning (ICML)}</span><span class="p">,</span> 46 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 47<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">TMLR</abbr> </div> <div id="xu2025uniform" class="col-sm-8"> <div class="title">
47Uniform Noise Distribution and Compact Clusters: Unveil the Key to Self-Supervised Learningâs Success in Label Noise</div> <div class="author"> Pengcheng Xu, Li Yi, <em>Gezheng Xu</em>, Xi Chen, Ian McLeod, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>Transactions on Machine Learning Research</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <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">xu2025uniform</span><span class="p">,</span> 48 <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Pengcheng and Yi, Li and Xu, Gezheng and Chen, Xi and McLeod, Ian and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 49 <span class="na">title</span> <span class="p">=</span> <span class="s">{Uniform Noise Distribution and Compact Clusters: Unveil the Key to Self-Supervised Learning's Success in Label Noise}</span><span class="p">,</span> 50 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Transactions on Machine Learning Research}</span><span class="p">,</span> 51 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 52<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">Neural Networks</abbr> </div> <div id="pu2025fedelr" class="col-sm-8"> <div class="title">FedELR: When Federated Learning Meets Learning With Noisy Labels</div> <div class="author"> Ruizhi Pu, Lixing Yu, Shaojie Zhan, <em>Gezheng Xu</em>, Fan Zhou, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>Neural Networks</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <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">pu2025fedelr</span><span class="p">,</span> 53 <span class="na">author</span> <span class="p">=</span> <span class="s">{Pu, Ruizhi and Yu, Lixing and Zhan, Shaojie and Xu, Gezheng and Zhou, Fan and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 54 <span class="na">title</span> <span class="p">=</span> <span class="s">{{FedELR}: When Federated Learning Meets Learning With Noisy Labels}</span><span class="p">,</span> 55 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Neural Networks}</span><span class="p">,</span> 56 <span class="na">volume</span> <span class="p">=</span> <span class="s">{187}</span><span class="p">,</span> 57 <span class="na">pages</span> <span class="p">=</span> <span class="s">{107275}</span><span class="p">,</span> 58 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 59<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">ICLR</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/2025iclr_zeta-480.webp 480w,/assets/img/publication_preview/2025iclr_zeta-800.webp 800w,/assets/img/publication_preview/2025iclr_zeta-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/2025iclr_zeta.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="2025iclr_zeta.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="zeng2025zeta" class="col-sm-8"> <div class="title">ZETA: Leveraging Z-order Curves for Efficient Top-k Attention</div> <div class="author"> Qiuhao Zeng, Jerry Huang, Peng Lu, <em>Gezheng Xu</em>, Boxing Chen, Charles Ling, and Boyu Wang </div> <div class="periodical"> <em>International Conference on Learning Representations (ICLR)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <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">zeng2025zeta</span><span class="p">,</span> 60 <span class="na">author</span> <span class="p">=</span> <span class="s">{Zeng, Qiuhao and Huang, Jerry and Lu, Peng and Xu, Gezheng and Chen, Boxing and Ling, Charles and Wang, Boyu}</span><span class="p">,</span> 61 <span class="na">title</span> <span class="p">=</span> <span class="s">{ZETA: Leveraging Z-order Curves for Efficient Top-k Attention}</span><span class="p">,</span> 62 <span class="na">
62journal</span> <span class="p">=</span> <span class="s">{International Conference on Learning Representations (ICLR)}</span><span class="p">,</span> 63 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 64<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">AAAI</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/2025aaai_prz-480.webp 480w,/assets/img/publication_preview/2025aaai_prz-800.webp 800w,/assets/img/publication_preview/2025aaai_prz-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/2025aaai_prz.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="2025aaai_prz.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="pu2024leveraging" class="col-sm-8"> <div class="title">Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression</div> <div class="author"> Ruizhi Pu, <em>Gezheng Xu</em>, Ruiyi Fang, Binkun Bao, Charles X Ling, and Boyu Wang </div> <div class="periodical"> <em>AAAI Conference on Artificial Intelligence (AAAI)</em>, 2025 </div> <div class="periodical"> </div> <div class="links"> <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">pu2024leveraging</span><span class="p">,</span> 65 <span class="na">author</span> <span class="p">=</span> <span class="s">{Pu, Ruizhi and Xu, Gezheng and Fang, Ruiyi and Bao, Binkun and Ling, Charles X and Wang, Boyu}</span><span class="p">,</span> 66 <span class="na">title</span> <span class="p">=</span> <span class="s">{Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression}</span><span class="p">,</span> 67 <span class="na">journal</span> <span class="p">=</span> <span class="s">{AAAI Conference on Artificial Intelligence (AAAI)}</span><span class="p">,</span> 68 <span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span> 69<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 col-sm-2 abbr"> <abbr class="badge rounded w-100">ICML</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/bggn-480.webp 480w,/assets/img/publication_preview/bggn-800.webp 800w,/assets/img/publication_preview/bggn-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/bggn.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="bggn.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="pmlr-v235-xu24d" class="col-sm-8"> <div class="title">Intersectional Unfairness Discovery</div> <div class="author"> <em>Gezheng Xu</em>, Qi Chen, Charles Ling, Boyu Wang, and Changjian Shui </div> <div class="periodical"> <em>In International Conference on Machine Learning (ICML)</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://proceedings.mlr.press/v235/xu24d.html" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/xu24d/xu24d.pdf" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">PDF</a> <a href="https://github.com/xugezheng/BGGN" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="https://icml.cc/virtual/2024/poster/34525" 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">pmlr-v235-xu24d</span><span class="p">,</span> 70 <span class="na">title</span> <span class="p">=</span> <span class="s">{Intersectional Unfairness Discovery}</span><span class="p">,</span> 71 <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Gezheng and Chen, Qi and Ling, Charles and Wang, Boyu and Shui, Changjian}</span><span class="p">,</span> 72 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{International Conference on Machine Learning (ICML)}</span><span class="p">,</span> 73 <span class="na">pages</span> <span class="p">=</span> <span class="s">{54888--54917}</span><span class="p">,</span> 74 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span> 75 <span class="na">
75editor</span> <span class="p">=</span> <span class="s">{Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix}</span><span class="p">,</span> 76 <span class="na">volume</span> <span class="p">=</span> <span class="s">{235}</span><span class="p">,</span> 77 <span class="na">series</span> <span class="p">=</span> <span class="s">{Proceedings of Machine Learning Research}</span><span class="p">,</span> 78 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{PMLR}</span><span class="p">,</span> 79<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">AAAI</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/aaai_logo-480.webp 480w,/assets/img/publication_preview/aaai_logo-800.webp 800w,/assets/img/publication_preview/aaai_logo-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/aaai_logo.jpg" class="preview z-depth-1 rounded" width="100%" height="auto" alt="aaai_logo.jpg" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="DBLP:conf/aaai/Zeng00XPS0YLW24" class="col-sm-8"> <div class="title">Generalizing across Temporal Domains with Koopman Operators</div> <div class="author"> Qiuhao Zeng, Wei Wang, Fan Zhou, <em>Gezheng Xu</em>, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, and Boyu Wang </div> <div class="periodical"> <em>In AAAI Conference on Artificial Intelligence (AAAI)</em>, 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://doi.org/10.1609/aaai.v38i15.29604" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</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/aaai/Zeng00XPS0YLW24</span><span class="p">,</span> 80 <span class="na">author</span> <span class="p">=</span> <span class="s">{Zeng, Qiuhao and Wang, Wei and Zhou, Fan and Xu, Gezheng and Pu, Ruizhi and Shui, Changjian and Gagn{\'{e}}, Christian and Yang, Shichun and Ling, Charles X. and Wang, Boyu}</span><span class="p">,</span> 81 <span class="na">title</span> <span class="p">=</span> <span class="s">{Generalizing across Temporal Domains with Koopman Operators}</span><span class="p">,</span> 82 <span class="na">booktitle</span> <span class="p">=</span> <span class="s">{AAAI Conference on Artificial Intelligence (AAAI)}</span><span class="p">,</span> 83 <span class="na">pages</span> <span class="p">=</span> <span class="s">{16651--16659}</span><span class="p">,</span> 84 <span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</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 col-sm-2 abbr"> <abbr class="badge rounded w-100">ICLR</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/elr_sfda-480.webp 480w,/assets/img/publication_preview/elr_sfda-800.webp 800w,/assets/img/publication_preview/elr_sfda-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/elr_sfda.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="elr_sfda.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="yi2023source" class="col-sm-8"> <div class="title">When Source-Free Domain Adaptation Meets Learning with Noisy Labels</div> <div class="author"> Li Yi<sup>*</sup>, <em>Gezheng Xu<sup>*</sup></em>, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A Ian McLeod, and Boyu Wang </div> <div class="periodical"> <em>International Conference on Learning Representations (ICLR)</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://iclr.cc/virtual/2023/oral/12670" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Video</a> <a href="https://github.com/liyi01827/SFDA_LLN" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> <a href="https://iclr.cc/media/iclr-2023/Slides/12670.pdf" 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">yi2023source</span><span class="p">,</span> 86 <span class="na">title</span> <span class="p">=</span> <span class="s">{When Source-Free Domain Adaptation Meets Learning with Noisy Labels}</span><span class="p">,</span> 87 <span class="na">author</span> <span class="p">=</span> <span class="s">{Yi, Li and Xu, Gezheng and Xu, Pengcheng and Li, Jiaqi and Pu, Ruizhi and Ling, Charles and McLeod, A Ian and Wang, Boyu}</span><span class="p">,</span> 88 <span class="na">
88journal</span> <span class="p">=</span> <span class="s">{International Conference on Learning Representations (ICLR)}</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="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">KBS</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/kbs_activeL-480.webp 480w,/assets/img/publication_preview/kbs_activeL-800.webp 800w,/assets/img/publication_preview/kbs_activeL-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/kbs_activeL.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="kbs_activeL.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="li2023label" class="col-sm-8"> <div class="title">Label Shift Conditioned Hybrid Querying for Deep Active Learning</div> <div class="author"> Jiaqi Li, Haojia Kong, <em>Gezheng Xu</em>, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X Ling, and Boyu Wang </div> <div class="periodical"> <em>Knowledge-Based Systems</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <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">li2023label</span><span class="p">,</span> 91 <span class="na">title</span> <span class="p">=</span> <span class="s">{Label Shift Conditioned Hybrid Querying for Deep Active Learning}</span><span class="p">,</span> 92 <span class="na">author</span> <span class="p">=</span> <span class="s">{Li, Jiaqi and Kong, Haojia and Xu, Gezheng and Shui, Changjian and Pu, Ruizhi and Kang, Zhao and Ling, Charles X and Wang, Boyu}</span><span class="p">,</span> 93 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Knowledge-Based Systems}</span><span class="p">,</span> 94 <span class="na">volume</span> <span class="p">=</span> <span class="s">{274}</span><span class="p">,</span> 95 <span class="na">pages</span> <span class="p">=</span> <span class="s">{110616}</span><span class="p">,</span> 96 <span class="na">year</span> <span class="p">=</span> <span class="s">{2023}</span><span class="p">,</span> 97 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{Elsevier}</span><span class="p">,</span> 98<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">TKDE</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/tkde_renyi-480.webp 480w,/assets/img/publication_preview/tkde_renyi-800.webp 800w,/assets/img/publication_preview/tkde_renyi-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/tkde_renyi.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="tkde_renyi.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="shui2023towards" class="col-sm-8"> <div class="title">Towards more General Loss and Setting in Unsupervised Domain Adaptation</div> <div class="author"> Changjian Shui<sup>*</sup>, Ruizhi Pu<sup>*</sup>, <em>Gezheng Xu</em>, Jun Wen, Fan Zhou, Christian Gagné, Charles X Ling, and Boyu Wang </div> <div class="periodical"> <em>IEEE Transactions on Knowledge and Data Engineering</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <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">shui2023towards</span><span class="p">,</span> 99 <span class="na">title</span> <span class="p">=</span> <span class="s">
99{Towards more General Loss and Setting in Unsupervised Domain Adaptation}</span><span class="p">,</span> 100 <span class="na">author</span> <span class="p">=</span> <span class="s">{Shui, Changjian and Pu, Ruizhi and Xu, Gezheng and Wen, Jun and Zhou, Fan and Gagn{\'e}, Christian and Ling, Charles X and Wang, Boyu}</span><span class="p">,</span> 101 <span class="na">journal</span> <span class="p">=</span> <span class="s">{IEEE Transactions on Knowledge and Data Engineering}</span><span class="p">,</span> 102 <span class="na">volume</span> <span class="p">=</span> <span class="s">{35}</span><span class="p">,</span> 103 <span class="na">number</span> <span class="p">=</span> <span class="s">{10}</span><span class="p">,</span> 104 <span class="na">pages</span> <span class="p">=</span> <span class="s">{10140--10150}</span><span class="p">,</span> 105 <span class="na">year</span> <span class="p">=</span> <span class="s">{2023}</span><span class="p">,</span> 106 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{IEEE}</span><span class="p">,</span> 107<span class="p">}</span></code></pre></figure> </div> </div> </div> </li> <li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">JMLR</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/jmlr_logo-480.webp 480w,/assets/img/publication_preview/jmlr_logo-800.webp 800w,/assets/img/publication_preview/jmlr_logo-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/jmlr_logo.jpg" class="preview z-depth-1 rounded" width="100%" height="auto" alt="jmlr_logo.jpg" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="wang2023gap" class="col-sm-8"> <div class="title">Gap Minimization for Knowledge Sharing and Transfer</div> <div class="author"> Boyu Wang, Jorge A Mendez, Changjian Shui, Fan Zhou, Di Wu, <em>Gezheng Xu</em>, Christian Gagné, and Eric Eaton </div> <div class="periodical"> <em>Journal of Machine Learning Research</em>, 2023 </div> <div class="periodical"> </div> <div class="links"> <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">wang2023gap</span><span class="p">,</span> 108 <span class="na">title</span> <span class="p">=</span> <span class="s">{Gap Minimization for Knowledge Sharing and Transfer}</span><span class="p">,</span> 109 <span class="na">author</span> <span class="p">=</span> <span class="s">{Wang, Boyu and Mendez, Jorge A and Shui, Changjian and Zhou, Fan and Wu, Di and Xu, Gezheng and Gagn{\'e}, Christian and Eaton, Eric}</span><span class="p">,</span> 110 <span class="na">journal</span> <span class="p">=</span> <span class="s">{Journal of Machine Learning Research}</span><span class="p">,</span> 111 <span class="na">volume</span> <span class="p">=</span> <span class="s">{24}</span><span class="p">,</span> 112 <span class="na">number</span> <span class="p">=</span> <span class="s">{33}</span><span class="p">,</span> 113 <span class="na">pages</span> <span class="p">=</span> <span class="s">{1--57}</span><span class="p">,</span> 114 <span class="na">year</span> <span class="p">=</span> <span class="s">{2023}</span><span class="p">,</span> 115<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 col-sm-2 abbr"> <abbr class="badge rounded w-100">NeurIPS</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/fams-480.webp 480w,/assets/img/publication_preview/fams-800.webp 800w,/assets/img/publication_preview/fams-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/fams.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="fams.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="shui2022learning" class="col-sm-8"> <div class="title">On Learning Fairness and Accuracy on Multiple Subgroups</div> <div class="author"> Changjian Shui<sup>*</sup>, <em>Gezheng Xu<sup>*</sup></em>, Qi Chen, Jiaqi Li, Charles X Ling, Tal Arbel, Boyu Wang, and Christian Gagné </div> <div class="periodical"> <em>Advances in Neural Information Processing Systems (NeurIPS)</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://neurips.cc/virtual/2022/poster/53824" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="https://github.com/xugezheng/FAMS" 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">shui2022learning</span><span class="p">,</span> 116 <span class="na">title</span> <span class="p">=</span> <span class="s">{On Learning Fairness and Accuracy on Multiple Subgroups}</span><span class="p">,</span> 117 <span class="na">author</span> <span class="p">=</span> <span class="s">{Shui, Changjian and Xu, Gezheng and Chen, Qi and Li, Jiaqi and Ling, Charles X and Arbel, Tal and Wang, Boyu and Gagn{\'e}, Christian}</span><span class="p">,</span> 118 <span class="na">
118journal</span> <span class="p">=</span> <span class="s">{Advances in Neural Information Processing Systems (NeurIPS)}</span><span class="p">,</span> 119 <span class="na">volume</span> <span class="p">=</span> <span class="s">{35}</span><span class="p">,</span> 120 <span class="na">pages</span> <span class="p">=</span> <span class="s">{34121--34135}</span><span class="p">,</span> 121 <span class="na">year</span> <span class="p">=</span> <span class="s">{2022}</span><span class="p">,</span> 122<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 col-sm-2 abbr"> <abbr class="badge rounded w-100">BMC Bioinformatics</abbr> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/bioQA-480.webp 480w,/assets/img/publication_preview/bioQA-800.webp 800w,/assets/img/publication_preview/bioQA-1400.webp 1400w," type="image/webp" sizes="200px"></source> <img src="/assets/img/publication_preview/bioQA.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="bioQA.png" data-zoomable="" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture> </figure> </div> <div id="xu2021external" class="col-sm-8"> <div class="title">External Features Enriched Model for Biomedical Question Answering</div> <div class="author"> <em>Gezheng Xu</em>, Wenge Rong, Yanmeng Wang, Yuanxin Ouyang, and Zhang Xiong </div> <div class="periodical"> <em>BMC Bioinformatics</em>, 2021 </div> <div class="periodical"> </div> <div class="links"> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://github.com/xugezheng/BioQAExternalFeatures" 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">xu2021external</span><span class="p">,</span> 123 <span class="na">title</span> <span class="p">=</span> <span class="s">{External Features Enriched Model for Biomedical Question Answering}</span><span class="p">,</span> 124 <span class="na">author</span> <span class="p">=</span> <span class="s">{Xu, Gezheng and Rong, Wenge and Wang, Yanmeng and Ouyang, Yuanxin and Xiong, Zhang}</span><span class="p">,</span> 125 <span class="na">journal</span> <span class="p">=</span> <span class="s">{BMC Bioinformatics}</span><span class="p">,</span> 126 <span class="na">volume</span> <span class="p">=</span> <span class="s">{22}</span><span class="p">,</span> 127 <span class="na">number</span> <span class="p">=</span> <span class="s">{1}</span><span class="p">,</span> 128 <span class="na">pages</span> <span class="p">=</span> <span class="s">{272}</span><span class="p">,</span> 129 <span class="na">year</span> <span class="p">=</span> <span class="s">{2021}</span><span class="p">,</span> 130 <span class="na">publisher</span> <span class="p">=</span> <span class="s">{Springer}</span><span class="p">,</span> 131<span class="p">}</span></code></pre></figure> </div> </div> </div> </li></ol> Note: * indicates equal contribution. </div> </article> </div> </div> <footer class="fixed-bottom" role="contentinfo"> <div class="container mt-0"> © Copyright 2026 Gezheng Xu. 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>. Photos from <a href="https://xugezheng.com" target="_blank">Hui and Gezheng</a>. Last updated: May 29, 2026. </div> </footer>
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131itle:"Honored to receive the Fields Postdoctoral Fellowship Award from Western University (CAD 25,000),...",description:"",section:"News"},{id:"news-four-papers-accepted-at-icml-2026-discretized-density-guided-source-free-domain-adaptation-for-regression-spotlight-acceptance-rate-2-2-fuse-full-spectrum-unlearnable-examples-via-spectral-equalization-baguan-ts-a-sequence-native-in-context-learning-model-for-time-series-forecasting-with-covariates-and-attention-with-routed-memory-for-learnable-sparse-control-congratulations-to-all-collaborators",title:"Four papers accepted at ICML 2026! \u201cDiscretized Density-Guided Source-Free Domain Adaptation for Regression\u201d...",description:"",section:"News"},{id:"socials-email",title:"Send email",section:"Socials",handler:()=>{window.open("mailto:%67%78%75%38%36@%75%77%6F.%63%61","_blank")}},{id:"socials-google-scholar",title:"Google Scholar",section:"Socials",handler:()=>{window.open("https://scholar.google.com/citations?user=VE8oAGsAAAAJ","_blank")}},{id:"socials-github",title:"GitHub",section:"Socials",handler:()=>{window.open("https://github.com/xugezheng","_blank")}},{id:"light-theme",title:"Change theme to light",description:"Change the theme of the site to Light",section:"Theme",handler:()=>{setThemeSetting("light")}},{id:"dark-theme",title:"Change theme to dark",description:"Change the theme of the site to Dark",section:"Theme",handler:()=>{setThemeSetting("dark")}},{id:"system-theme",title:"Use system default theme",description:"Change the theme of the site to System Default",section:"Theme",handler:()=>{setThemeSetting("system")}}];</script>
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