1<html> 2 3<head> 4 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> 5 6 <title>Zhen Wu</title> 7 <meta content="Zhen Wu, https://wuzhen247.github.io" name="keywords"> 8 9 <style media="screen" type="text/css"> 10 html, 11 body, 12 div, 13 span, 14 applet, 15 object, 16 iframe, 17 h1, 18 h2, 19 h3, 20 h4, 21 h5, 22 h6, 23 p, 24 blockquote, 25 pre, 26 a, 27 abbr, 28 acronym, 29 address, 30 big, 31 cite, 32 code, 33 del, 34 dfn, 35 em, 36 font, 37 img, 38 ins, 39 kbd, 40 q, 41 s, 42 samp, 43 small, 44 strike, 45 strong, 46 sub, 47 tt, 48 var, 49 dl, 50 dt, 51 dd, 52 ol, 53 ul, 54 li, 55 fieldset, 56 form, 57 label, 58 legend, 59 table, 60 caption, 61 tbody, 62 tfoot, 63 thead, 64 tr, 65 th, 66 td { 67 border: 0pt none; 68 font-family: inherit; 69 font-size: 100%; 70 font-style: inherit; 71 font-weight: inherit; 72 margin: 0pt; 73 outline-color: invert; 74 outline-style: none; 75 outline-width: 0pt; 76 padding: 0pt; 77 vertical-align: baseline; 78 } 79 80 a { 81 color: #1772d0; 82 text-decoration: none; 83 } 84 85 a:focus, 86 a:hover { 87 color: #f09228; 88 text-decoration: none; 89 } 90 91 a.paper { 92 font-weight: bold; 93 font-size: 12pt; 94 } 95 96 b.paper { 97 font-weight: bold; 98 font-size: 12pt; 99 } 100 101 * { 102 margin: 0pt; 103 padding: 0pt; 104 } 105 106 body { 107 position: relative; 108 margin: 3em auto 2em auto; 109 width: 800px; 110 font-family: Verdana, Helvetica, sans-serif; 111 font-size: 14px; 112 background: #eee; 113 } 114 115 h2 { 116 font-family: Verdana, Helvetica, sans-serif; 117 font-size: 15pt; 118 font-weight: 700; 119 } 120 121 h3 { 122 font-family: Verdana, Helvetica, sans-serif; 123 font-size: 16px; 124 font-weight: 700; 125 } 126 127 strong { 128 font-family: Verdana, Helvetica, sans-serif; 129 font-size: 13px; 130 font-weight: bold; 131 } 132 133 ul { 134 list-style: circle; 135 } 136 137 img { 138 border: none; 139 } 140 141 li { 142 padding-bottom: 0.5em; 143 margin-left: 1.4em; 144 } 145 146 alert { 147 font-family: Verdana, Helvetica, sans-serif; 148 font-size: 13px; 149 font-weight: bold; 150 color: #FF0000; 151 } 152 153 em, 154 i { 155 font-style: italic; 156 } 157 158 div.section { 159 clear: both; 160 margin-bottom: 1.5em; 161 background: #eee; 162 } 163 164 div.spanner { 165 clear: both; 166 } 167 168 div.paper { 169 clear: both; 170 margin-top: 0.5em; 171 margin-bottom: 1em; 172 border: 1px solid #ddd; 173 background: #fff; 174 padding: 1em 1em 1em 1em; 175 } 176 177 div.paper div { 178 padding-left: 230px; 179 } 180 181 img.paper { 182 margin-bottom: 0.5em; 183 float: left; 184 width: 200px; 185 } 186 187 span.blurb { 188 font-style: italic; 189 display: block; 190 margin-top: 0.75em; 191 margin-bottom: 0.5em; 192 } 193 194 pre, 195 code { 196 font-family: 'Lucida Console', 'Andale Mono', 'Courier', monospaced; 197 margin: 1em 0; 198 padding: 0; 199 } 200 201 div.paper pre { 202 font-size: 0.9em; 203 } 204 </style> 205 206 207 <link href="http://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic" rel="stylesheet" 208 type="text/css"/> 209 <!-- Global site tag (gtag.js) - Google Analytics -->
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221 222 223</head> 224 225 226<body> 227 228 <!--photo and basic information--> 229 <div style="margin-bottom: 1em; border: 1px solid #ddd; background-color: #fff; padding: 1em; height: 130px;"> 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 (å´é)</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䏿). 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">[ä¸æè§£è¯»]</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">[ä¸æè§£è¯»]</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">[ä¸æè§£è¯»]</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">[ä¸æè§£è¯»]</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">[ä¸æè§£è¯»]</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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