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228    <!--photo and basic information-->
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230        <div style="margin: 0px auto; width: 100%;">
231            <img title="wuzhen" style="float: left; padding-left: .01em; height: 130px;"
232                 src="./resources/images/me/me2.png">
233            <div style="padding-left: 10em; vertical-align: top; height: 120px;">
234                <span style="line-height: 150%; font-size: 20pt;">Zhen Wu (吴震)</span><br>
235                <span><a href="https://ai.nju.edu.cn/main.htm">School of Artificial Intelligence</a>, <a
236                        href="https://www.nju.edu.cn/EN/7f/6b/c7136a163691/page.htm">Nanjing University
237                            (NJU)</a></span><br>
238                <span><strong>Address</strong>: 163 Xianlin Avenue, Qixia District, Nanjing, China</span><br>
239                <span><strong>Office</strong>: Room A-201, Yifu Building</span><br>
240                <span><strong>Email</strong>: wuz [at] nju.edu.cn </span> <br>
241            </div>
242        </div>
243    </div>
244    <!--<div style="clear: both; background-color: #fff; margin-top: 1.5em; padding: .2em; padding-left: .3em;">-->
245
246    
247    <!--biography-->
248    <div style="clear: both;">
249        <div class="section">
250            <h2>About Me 
251                <a href="https://scholar.google.com/citations?user=IoGlgtoAAAAJ">[Google Scholar]</a>
252                <!-- <a href="./resources/cv/.pdf">[CV]</a>) -->
253            </h2>
254            <div class="paper">
255                Now I am an Assistant Professor at the <a href="https://ai.nju.edu.cn/main.htm">School of Artificial Intelligence</a>, Nanjing University (NJU), and a member of <a href="http://nlp.nju.edu.cn/homepage/">NJUNLP</a> group, led by <a href="https://cs.nju.edu.cn/chenjiajun/index.htm">Prof. Jiajun Chen</a>. Before that, I received my Ph.D. degree from the <a href ="https://cs.nju.edu.cn/">Department of Computer Science and Technology</a> of Nanjing University (NJU) in 2021, supervised by <a href="https://ai.nju.edu.cn/daixinyu/index.htm">Prof. Xinyu Dai</a>.
256                <br><br>
257            </div>
258
259        </div>
260    </div>
261
262    <!--Research Interest-->
263    <div style="clear: both;">
264        <div class="section">
265            <h2>Research Interest
266            </h2>
267            <div class="paper">
268                My recent research interests mainly include Natural Language Processing, LLM and Agent, Multimodal Computation.
269                <br><br>
270            </div>
271
272        </div>
273    </div>
274
275
276    <!--News-->
277    <div style="clear: both;">
278        <div class="section">
279            <h2 id="news">News</h2>
280            <div class="paper">
281                <ul>
282                    <li>
283                        2026-09: Invited to be a Senior Area Chair (SAC) for ACL Rolling Review.
284                    </li>
285                    <li>
286                        2026-09: One paper was accepted by NeurIPS 2026 (CCF-A).
287                    </li>
288                    <li>
289                        2026-08: One paper was accepted by EMNLP 2026 (CCF-B).
290                    </li>
291                    <li>
292                        2026-08: One paper was accepted by CIKM 2026 (CCF-B).
293                    </li>
294                    <li>
295                        2026-07: Invited to be a Senior Program Committee (SPC) member for AAAI 2026.
296                    </li>
297                    <li>
298                        2026-05: One paper was accepted by KDD 2026 (CCF-A).
299                    </li>
300                    <li>
301                        2026-05: Two papers were accepted by ICML 2026 (CCF-A).
302                    </li>
303                    <li>
304                        2026-05: Invited to be an Area Chair (AC) for EMNLP 2026.
305                    </li>
306                    <li>
307                        2026-04: Two papers were accepted by ACL 2026 (CCF-A).
308                    </li>
309                    <li>
310                        2026-02: Invited to be an Area Chair (AC) for ACL 2026.
311                    </li>
312                    <li>
313                        2025-12: One paper was accepted by SCIS (CCF-A).
314                    </li>
315                    <li>
316                        2025-02: Invited to be an Area Chair (AC) for ACL 2025.
317                    </li>
318                    <li>
319                        2024-10: <a href="https://github.com/fate-ubw/RAGLAB">RAGLAB</a> was accepted by EMNLP 2024 Demo Track (CCF-B, oral).
320                    </li>
321                    <li>
322                        2024-09: <a href="https://github.com/AutoSurveys/AutoSurvey">AutoSurvey</a> was accepted by NeurIPS 2024 (CCF-A).
323                    </li>
324                    <li>
325                        2024-09: One paper was accepted by EMNLP 2024 (CCF-B).
326                    </li>
327                    <li>
328                        2024-07: One paper was accepted by ACM Multimedia 2024 (CCF-A).
329                    </li>
330                    <li>
331                        2024-05: Two papers were accepted by ACL 2024 (CCF-A).
332                    </li>
333                    <li>
334                        2024-03: One paper was accepted by  NAACL 2024 (CCF-B).
335                    </li>
336                    <li>
337                        2024-02: One paper was accepted by  COLING 2024 (CCF-B).
338                    </li>
339                    <li>
340                        2023-10: Four papers were accepted by EMNLP 2023 (CCF-B).
341                    </li>
342                    <li>
343                        2023-09: We won the runner-up of the <a href="https://tianchi.aliyun.com/competition/entrance/532126/customize398">Evaluation of Large Model of Finance Technology (SMP2023-ELMFT)</a> out of 2294 teams.
344                    </li>
345                    
346                    <!--
347                    <li>
348                        2023-07-26: Two papers were accepted by ACM Multimedia 2023 (CCF-A).
349                    </li>
350                    <li>
351                        2023-05-02: Two papers were accepted by main conference and findings of ACL 2023 (CCF-A).
352                    </li>
353                    <li>
354                        2023-02-17: One paper was accepted by ICASSP 2023 (CCF-B).
355                    </li>
356                    <li>
357                        2022-10-14: One paper was accepted by Science China Information Sciences (CCF-A中文).
358                    </li>
359                    <li>
360                        2022-10-08: One paper was accepted by Findings of EMNLP 2022.
361                    </li>
362                    <li>
363                        2022-08-17: Three papers were accepted by COLING 2022 (CCF-B).
364                    </li>
365                    <li>
366                        2022-06-30: One paper was accepted by ACM Multimedia 2022 (CCF-A).
367                    </li>
368                    <li>
369                        2021-12-02: One paper was accepted by Frontiers of Computer Science.
370                    </li>
371                    <li>
372                        2021-03-10: <a href="https://aclanthology.org/2021.naacl-main.302.pdf">UniDrop</a> was accepted by NAACL 2021.
373                    </li>
374                    <li>
375                        2020-10-01: <a href="https://aclanthology.org/2020.coling-main.70.pdf">ATN</a> was accepted by COLING 2020.
376                    </li>
377                    <li>
378                        2020-09-14: <a href="https://arxiv.org/abs/2010.04640">GTS</a> was accepted by EMNLP 2020 Findings.
379                    </li>
380                    <li>
381                        2020-07-30: Two papers were accepted by NLPCC 2020.
382                    </li>
383                    <li>
384                        2020-06-02: <a href="http://tcci.ccf.org.cn/conference/2020/cfpt.php">
384Wins the Second Place of NLPCC 2020 Shared Task 2: Multi-Aspect-based Multi-Sentiment Analysis (MAMS)</a>
385                    </li>
386                    <li>
387                        2019-11-11: <a href="https://arxiv.org/abs/2001.01989">LOTN</a> was accepted by AAAI 2020.
388                    </li>
389                    <li>
390                        2019-07-30: <a href="https://www.biendata.xyz/competition/smpecisa2019/winners/">Wins the Third Prize (Top5) of the Evaluation of Chinese Implicit Sentiment Analysis in the 8th National Conference on Socail Media Processing.</a>
391                    </li>
392                    <li>
393                        2019-02-22: <a href="https://aclanthology.org/N19-1259/">TOWE</a> was accepted by NAACL 2019.
394                    </li>
395                    <li>
396                        2018-12-05: <a href="https://mp.weixin.qq.com/s/g-u7pNhAF0A85RORP5g1PA">Wins the Champion of Aspects and Sentiment Recognition of Automotive Industry task (Top1/1701) and CCF Best Innovation Award in CCF BDCI 2018.</a>
397                    </li>
398                    <li>
399                        2017-11-08: <a href="https://arxiv.org/abs/1801.07861">HUAPA</a> was accepted by AAAI 2018.
400                    </li>
401                    -->
402
403                    
404                </ul>
405    
406                <div class="spanner"></div>
407            </div>
408        </div>
409    </div>
410
411    
412    <!--selected publications-->
413    <!--
414    <div style="clear: both;">
415        <div class="section">
416            <h2 id="confpapers">Selected Publications (<a href="https://scholar.google.com/citations?user=IoGlgtoAAAAJ">[Full List]</a>)</h2>
417            (* indicates equal contribution)
418    
419            <div class="paper"><img class="paper" src="./resources/paper_icon/NAACL2021_UniDrop.png"
420                title="UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost">
421                <div><strong>UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost</strong><br>
422                    <strong>Zhen Wu</strong>, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu<br>
423                    NAACL-HLT, 2021 (<strong>oral presentation</strong>)<br>
424                    <a href="https://aclanthology.org/2021.naacl-main.302.pdf">[Paper]</a>
425                    <a href="https://mp.weixin.qq.com/s/fLlcs2lHfvY8fOhiBj4rdw">[中文解读]</a>
426                    <a href="./resources/slides/NAACL2021_UniDrop.pdf">[Slides]</a>
427                    <a href="./resources/posters/NAACL2021_UniDrop.pdf">[Poster]</a>
428                    <a href="./resources/bibtex/NAACL2021_UniDrop.txt">[BibTex]</a>
429                    <br>
430                    <alert>UniDrop integrated different dropout techniques and effectively improved Transformer performance.</alert>
431                </div>
432                <div class="spanner"></div>
433            </div>
434
435            <div class="paper"><img class="paper" src="./resources/paper_icon/EMNLP2020_Findings_GTS.png"
436                title="Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction">
437                <div><strong>Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction</strong><br>
438                    <strong>Zhen Wu</strong>, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia<br>
439                    EMNLP Findings, 2020<br>
440                    <a href="https://aclanthology.org/2020.findings-emnlp.234.pdf">[Paper]</a>
441                    <a href="https://github.com/NJUNLP/GTS">[Datasets and Code]</a><img
442                    src="https://img.shields.io/github/stars/NJUNLP/GTS?style=social"/>
443                    <a href="https://mp.weixin.qq.com/s/cOCmao-hWdauRETJgSNbJQ">[中文解读]</a>
444                    <a href="./resources/bibtex/EMNLP2020_Findings_GTS.txt">[BibTex]</a>
445                    <br>
446                    <alert>We propose a unified tagging scheme to address fine-grained opinion extraction, in the form of opinion pair (aspect term, opinion term) or opinion triplet (aspect term, opinion term, sentiment).</alert>
447                </div>
448                <div class="spanner"></div>
449            </div>
450
451            <div class="paper"><img class="paper" src="./resources/paper_icon/AAAI2020_LOTN.png"
452                title="Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction">
453                <div><strong>Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction</strong><br>
454                    <strong>Zhen Wu*</strong>, Fei Zhao*, Xin-Yu Dai, Shujian Huang, Jiajun Chen<br>
455                    AAAI, 2020 (<strong>oral presentation</strong>)<br>
456                    <a href="https://arxiv.org/pdf/2001.01989.pdf">[Paper]</a>
457                    <a href="https://github.com/1429904852/LOTN">
457[Code]</a>
458                    <a href="https://mp.weixin.qq.com/s/rO_dGBt_x6uIXLsjka5kKA">[中文解读]</a>
459                    <a href="./resources/bibtex/AAAI2020_LOTN.txt">[BibTex]</a>
460                    <br>
461                    <alert>We transter opinion knowledge from resource-rich document-level data to improve target-oriented opinion words extraction.</alert>
462                </div>
463                <div class="spanner"></div>
464            </div>
465
466            <div class="paper"><img class="paper" src="./resources/paper_icon/COLING2020_ATN.png"
467                title="Attention Transfer Network for Aspect-level Sentiment Classification">
468                <div><strong>Attention Transfer Network for Aspect-level Sentiment Classification</strong><br>
469                    Fei Zhao*, <strong>Zhen Wu*</strong>, Xin-Yu Dai<br>
470                    COLING, 2020<br>
471                    <a href="https://aclanthology.org/2020.coling-main.70.pdf">[Paper]</a>
472                    <a href="https://github.com/1429904852/ATN">[Code]</a>
473                    <a href="https://mp.weixin.qq.com/s/e59MHQ5wqH1HN8WrkTaA4Q">[中文解读]</a>
474                    <a href="./resources/bibtex/COLING2020_ATN.txt">[BibTex]</a>
475                    <br>
476                    <alert>We transter opinion knowledge from resource-rich document-level data to improve aspect-level sentiment classification.</alert>
477                </div>
478                <div class="spanner"></div>
479            </div>
480
481            <div class="paper"><img class="paper" src="./resources/paper_icon/NLPCC2020_MAMS.png"
482                title="Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis">
483                <div><strong>Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis</strong><br>
484                    <strong>Zhen Wu*</strong>, Chengcan Ying*, Xinyu Dai, Shujian Huang, Jiajun Chen<br>
485                    NLPCC Evaluation, 2020<br>
486                    <a href="https://arxiv.org/pdf/2011.00476.pdf">[Paper]</a>
487                    <a href="https://github.com/NJUNLP/TMM-for-MAMS">[Code]</a>
488                    <a href="./resources/bibtex/NLPCC2020_MAMS.txt">[BibTex]</a>
489                    <br>
490                    <alert>A simple yet effective method to improve and accelerate multi-aspect multi-sentiment classification.</alert>
491                </div>
492                <div class="spanner"></div>
493            </div>
494
495            <div class="paper"><img class="paper" src="./resources/paper_icon/NLPCC2020_OTN.png"
496                title="Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification">
497                <div><strong>Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification</strong><br>
498                    Chengcan Ying*, <strong>Zhen Wu*</strong>, Xinyu Dai, Shujian Huang, Jiajun Chen<br>
499                    NLPCC, 2020<br>
500                    <a href="https://arxiv.org/pdf/2011.00474.pdf">[Paper]</a>
501                    <a href="./resources/bibtex/NLPCC2020_OTN.txt">[BibTex]</a>
502                    <br>
503                    <alert>A joint method to improve both target-oriented opinion words extraction and aspect-level sentiment classification.</alert>
504                </div>
505                <div class="spanner"></div>
506            </div>
507
508            <div class="paper"><img class="paper" src="./resources/paper_icon/NAACL2019_TOWE.png"
509                title="Target-oriented Opinion Words Extraction with Target-fused Neural
510                Sequence Labeling">
511                <div><strong>Target-oriented Opinion Words Extraction with Target-fused Neural
512                    Sequence Labeling</strong><br>
513                    Zhifang Fan, <strong>Zhen Wu</strong>, Xin-Yu Dai, Shujian Huang, Jiajun Chen<br>
514                    NAACL-HLT, 2019<br>
515                    <a href="https://aclanthology.org/N19-1259.pdf">[Paper]</a>
516                    <a href="https://github.com/NJUNLP/TOWE">[Datasets and Code]</a><img
517                        src="https://img.shields.io/github/stars/NJUNLP/TOWE?style=social"/>
518                    <a href="https://mp.weixin.qq.com/s/0N3IzNQLn3Zxb3sbRdkdWg">[中文解读]</a>
519                    <a href="https://vimeo.com/355827037">[Talk]</a>
520                    <a href="./resources/bibtex/NAACL2019_TOWE.txt">[BibTex]</a>
521                    <br>
522                    <alert>We proposed a new ABSA subtask Target-oriented Opinion Words Extraction and released the datasets. We are the first to annotate the datasets of opinion pair (aspect term, opinion term).</alert>
523                </div>
524                <div class="spanner"></div>
525            </div>
526
527            <div class="paper"><img class="paper" src="./resources/paper_icon/AAAI2018_HUAPA.png"
528                title="Improving Review Representations with User Attention and Product Attention for Sentiment Classificationn">
529                <div><strong>Improving Review Representations with User Attention and Product Attention for Sentiment Classification</strong><br>
530                    <strong>Zhen Wu</strong>, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen<br>
531                    AAAI, 2018 (<strong>oral presentation</strong>)<br>
532                    <a href="https://arxiv.org/pdf/1801.07861.pdf">[Paper]</a>
533                    <a href="https://github.com/wuzhen247/HUAPA">[Code]</a><img
534                        src="https://img.shields.io/github/stars/wuzhen247/HUAPA?style=social"/>
535                    <a href="./resources/posters/AAAI2018_HUAPA.pdf">[Poster]</a>
536                    <a href="./resources/bibtex/AAAI2018_HUAPA.txt">[BibTex]</a>
537                    <br>
538                    <alert>Modeling reviews respectively from user's perspective and product's perspective.</alert>
539                </div>
540                <div class="spanner"></div>
541            </div>
542            
543        </div>
544    </div>
545    <br>
546    -->
547
548
549    <!--Experience-->
550    <div style="clear: both;">
551        <div class="section">
552            <h2 id="experience">Experience</h2>
553            <div class="paper">
554                <ul>
555                    <li>
556                        Aug. 2020 - Mar. 2021, research intern at Microsoft Research Asia, supervised by <a href="https://scholar.google.com/citations?user=RD5kSG0AAAAJ">Lijun Wu</a> and <a href="https://scholar.google.com/citations?user=Bl4SRU0AAAAJ">Tao Qin</a>
557                    </li>
558                </ul>
559    
560                <div class="spanner"></div>
561            </div>
562        </div>
563    </div>
564
565    
566    <!--Honor-->
567    <div style="clear: both;">
568        <div class="section">
569            <h2 id="confpapers">Honor</h2>
570            <div class="paper">
571                <ul>
572                    <li>
573                        National Scholarship, 2020.
574                    </li>
575
576                    <li>
577                        NLPCC 2020 Shared Task, Multi-Aspect-based Multi-Sentiment Analysis (MAMS), 2020, Second Place</a>.
578                    </li>
579
580                    <li>
581                        Evaluation of Chinese Implicit Sentiment Analysis in the 8th National Conference on Social Media Processing, 2019, <a href="https://www.biendata.xyz/competition/smpecisa2019/winners/">Third Prize (Top5)</a>.
582                    </li>
583
584                    <li>
585                        CCF Big Data & Computing Intelligence Contest, "Aspects and Sentiment Recognition of Automotive Industry" Task, 2018, <a href="https://mp.weixin.qq.com/s/g-u7pNhAF0A85RORP5g1PA">Champion (Top1/1701)</a>.
586                    </li>
587                    <li>
588                        CCF Big Data & Computing Intelligence Contest, 2018, <a href="https://mp.weixin.qq.com/s/g-u7pNhAF0A85RORP5g1PA">Best Innovation Award</a>.
589                    </li>
590
591                    <li>
592                        Artificial Intelligence Scholarship, 2018, Nanjing University.
593                    </li>
594                    
595                </ul>
596                <div class="spanner"></div>
597            </div>
598        </div>
599    </div>
600
601    
602    <!--Review Service-->
603    <div style="clear: both;">
604        <div class="section">
605            <h2>Review Services</h2>
606            <div class="paper">
607
608                <strong>Program Committee Member/Conference Reviewer</strong><br>
609                Neural Information Processing Systems (NeurIPS), 2022<br>
610                International Conference on Machine Learning (ICML), 2022<br>
611                AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022<br>
612                Annual Meeting of the Association for Computational Linguistics (ACL), 2021, 2022<br>
613                Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021, 2022<br>
614                International Conference on Computational Linguistics (COLING), 2020, 2022<br>
615                China National Conference on Computational Linguistics (CCL), 2021<br>
616                International Workshop on Natural Language Processing for Social Media (SocialNLP), 2021<br>
617                <br>
618
619                <strong>Journal Reviewer</strong><br>
620                TKDD, TALLIP, Neurocomputing<br>
621            </div>
622        </div>
623    </div>
624
625
626    <!--pagereviews-->
627    <div style='width:600px;height:300px;margin:0 auto'>
628    
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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.