1. 个人简介，英文版主页(English Version): https://nlpgm.github.io/index.html

钱铁云，博士，武汉大学计算机学院教授，博士生导师。主要研究领域为Web数据挖掘、自然语言处理。中国计算机学会数据库专委会执行委员，中国计算机学会自然语言处理专委会执行委员、中文信息学会社会媒体处理专委会常务委员、中文信息学会语言与知识计算专委会执行委员，在顶级、权威国际学术会议和期刊上（如ACL、AAAI、SIGIR、EMNLP、TKDE、TOIS）发表论文90余篇。担任TKDE、TOIS、《计算机学报》等国内外顶级期刊审稿人，以及ACL (CCF A类)，IJCAI (CCF A类)，AAAI（CCF A类）,WWW（CCF A类）等顶级国际学术会议的领域主席或程序委员会委员。

联系方式：qty@whu.edu.cn

 

2. 学生培养（本主页创建于2023年）

已毕业博士生3名：陈壮（2018级）、李万理（2019级）、孙柯（2020级），分别任职中南大学、华中农业大学、海军工程大学。

已毕业学硕8名，分别任职阿里（陈丽-2014级，张咪-2019级）、腾讯（尤珍妮-2015级，陈亦琦-2016级-两次国家奖学金获得者）、网易研究院（梁贻乐-2018级-两次国家奖学金获得者）、华泰证券（姜聪聪-2019级）、中债金科（马萱-2021级）、字节跳动（张婷-2021级）。

已毕业两年制专硕21名（其中包括7名非全日制专硕，2名双证班专硕），分别是：尧红伟，黄俊龙，王毅，张宝超，袁斌，朱裴松，刘贝，郭蕊，虞惠林，杨蕴凯，林悦，张壮，杨佳佳，王营丽，唐小雅，郑浩杰，朱晓雨，张博钧，云航，李嘉俊，陈跃翰，分别任职阿里、腾讯、百度、美团、华为、中兴、讯飞，以及多家国企和国家机关单位。

学硕和专硕都非常优秀，很多专硕也发表了A、B类或一区论文，学硕和专硕获得单次国家奖学金的都没有单独列出:).

博士研究生招生方向：计算机科学与技术，人工智能，电子信息。

硕士研究生招生方向：计算机科学与技术，人工智能，软件工程，网络空间安全，电子信息。

招生要求：有理想、对研究有兴趣和热情，有较好的数学、英语、计算机基础。

  3. 部分论文列表，其中2019年以来1篇单篇引用超过300次，2篇单篇引用超过200次，2篇单篇引用超过100次，部分代码请见:  https://github.com/NLPWM-WHU  or https://github.com/NLPGM

   1）2025年

1) Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian. Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. AAAI, 2025,  main conference paper, accepted. New. 【CCF A类会议】

2） Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian. Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. AAAI, 2025, AI alignment track, accepted. New. 【CCF A类会议】

   2) 2024年

  1) Ke Sun, Chenliang Li, Tieyun Qian. City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model. TOIS, Volume 42, Issue 6, Article No. 153, Pages 1-27, 2024. Paper: 2024tois.pdf.【CCF A类期刊】

2) Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu. Querying Cohesive Subgraph regarding Span-Constrained Triangles on Temporal Graphs. ICDE, 3338-3350, 2024. Paper: 2024icde-Querying Cohesive Subgraph.pdf.【CCF A类会议】 

3）Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian. An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. ACL Findings, 2024, 1410-1423, Paper: 2024aclf-Continual Relation Extraction.pdf.【CCF A类会议】

4）Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian. Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction. ACL Findings, 2024, 2489-2511, Paper: 2024aclf-Commonsense Counterfactuals.pdf.【CCF A类会议】

5）Hankun Kang, Tieyun Qian. Implanting LLM's Knowledge via Reading Comprehension Tree for Toxicity Detection. ACL Findings, 2024, 947-962, Paper: 2024aclf-Reading Comprehension Tree for Toxicity Detection.pdf.【CCF A类会议】. 

6) Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian. Prompting Large Language Models for Counterfactual Generation: An Empirical Study. COLING 2024, 13201-13221. Paper:2024coling.pdf. 【CCF B类会议】

7) Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang: Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. NAACL-HLT 2024: 8181-8194.  Paper: 2024naacl.pdf  【CCF B类会议】

8) 包泽芃，钱铁云。大模型红队测试研究综述，计算机科学，2024. 【CCF中文 B类期刊】

9)  Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian. Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. EMNLP, 2024: 5468-5495. Paper: 2024emnlp.pdf  Code: https://github.com/NLPGM/AdoT【CCF B类会议】.

   3) 2023年

1) Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao: Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Exaction. The Web Conference, 2023, 1832-1842. Paper: 2023WebConf.pdf. Code: https://github.com/NLPWM-WHU/CoCo  【CCF A类会议】

2) Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian. Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. IJCAI, 2023, 6299-6307. Paper: 2023ijcai.pdf. Code: https://github.com/NLPWM-WHU/MPLP  【CCF A类会议】

3) Shen Zhou, Tieyun Qian.  On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction.  ACL Findings, 2023,  12038-12050. Paper: 2023acl.pdf. Code: https://github.com/NLPWM-WHU/SLGM【CCF A类会议】

4) Tieyun Qian, Yile Liang, Qing Li,  Xuan Ma, Ke Sun, Zhiyong Peng. Intent Disentanglement and Feature Self-supervision for Novel Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 9864-9877. Paper: 2023tkde.pdf. Code: https://github.com/NLPWM-WHU/IDS4NR 【CCF A类期刊，SCI二区】

5) Tieyun Qian, Yile Liang, Qing Li, Hui Xiong. Attribute Graph Neural Networks for Strict Cold Start Recommendation (Extended Abstract). ICDE, 2023,  3783-3784. Paper: 2023icde.pdf.【CCF A类会议】

6) 陈壮，钱铁云，李万理，张婷，周燊，钟鸣，祝园园，刘梦赤。低资源方面级情感分析研究综述，计算机学报，2023，Vol. 46, No. 7, 1445-1472. Paper: 2023-计算机学报-低资源方面级情感分析研究综述.pdf. 【CCF 中文A类期刊】

7) Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou. Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. IEEE Transactionson Neural Networks and Learning Systems (TNNLS),  2023, accepted. Paper:  2023tnnls.pdf.Code: https://github.com/NLPWM-WHU/MTD4SemiRE 【CCF B类期刊，SCI一区】

8) Wanli Li, Tieyun Qian, Ming Zhong, Xu Chen. Interactive Lexical and Semantic Graphs for Semi-supervised Relation Extraction.  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol.10, 2023. Paper: 2023tnnls_vol10.pdf. Code: https://github.com/NLPWM-WHU/MRefG【CCF B类期刊，SCI一区】

9) Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu. Pre-Training Across Different Cities for Next POI Recommendation. ACM Transactions on the Web (TWeb), 2023.  Paper: 2023tweb.pdf.  Code: https://github.com/NLPWM-WHU/CATUS【CCF B类期刊，SCI三区】

10) Ke Sun, Tieyun QianMing Zhong,Xuhui Li. Towards More Effective Encoders inPre-Training for Sequential Recommendation. WWW Journal,  2023. Paper: 2023wwwj.pdf.【CCF B类期刊, SCI 三区】

11）Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian. Cold-start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. ECML/PKDD, 577-592, 2023. Paper: 2023ecml.pdf  Code: https://github.com/NLPWM-WHU/SelfHier【CCF B类会议】

12) Xin Miao, Yongqi Li, Tieyun Qian. Generating Commonsense Counterfactuals for Stable Relation Extraction. EMNLP, 2023, 5654-5668. Paper: 2023emnlp-ConRE.pdf  Code: https://github.com/NLPWM-WHU/CCG 【CCF B类会议】

13) Yongqi Li, Yu Yu, Tieyun Qian. Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition.  Findings of EMNLP, 2023, 8911-8927.  Paper: 2023.findings-emnlp-FSNER.pdf  Code: https://github.com/NLPWM-WHU/TadNER【CCF B类会议】  

14) Xuan Ma, Tieyun Qian, Ke Sun. Dynamic Open-book Prompt for Conversational Recommender Syste.  Findings of EMNLP, 2023, 9839-9849. Paper: 2023.findings-emnlp-ConvRec.pdf 【CCF B类会议】  

15) Congcong Jiang, Tieyun Qian, Bing Liu. One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Transactions on Audio, Speech, and Language Processing (TASLP)， IEEE ACM Trans. Audio Speech Lang. Process. 32: 239-249 (2024).  Paper: 2023taslp.pdf. 【CCF B类期刊，SCI一区】

   4）2022年

1) Tieyun Qian, Yile Liang, Qing Li,  Hui Xiong. Attribute Graph Neural Networks for Strict Cold Start Recommendation.  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 34(8): 3597-3610.  Paper: 2022tkde-agnn.pdf. Code: https://github.com/NLPWM-WHU/AGNN  【CCF A类期刊，SCI二区】

2) Congcong Jiang, Tieyun Qian, Bing Liu. Knowledge Distillation for Discourse Relation Analysis. The Web Conference, 2022, 210-214.  Paper: 2022WebConf.pdf.【CCF A类会议】

3) Zhuang Chen, Tieyun Qian: Retrieve-and-Edit Domain Adaptation for End2End Aspect Based Sentiment Analysis. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). 30: 659-672 (2022). Paper: 2022taslp_chen.pdf.  Code: https://github.com/NLPWM-WHU/TransProto 【CCF B类期刊，SCI一区】

4) Mi Zhang, Tieyun Qian, Bing Liu: Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Transactions on Audio, Speech, and Language Processing (TASLP). 30: 917-930 (2022). Paper: 2022taslp_zhang.pdf.  【CCF B类期刊，SCI一区】

5) Zhuang Chen, Tieyun Qian: Description and demonstration guided data augmentation for sequence tagging. World Wide Web Jounral 25(1): 175-194 (2022). Paper: 2022wwwj.pdf.  Code: https://github.com/NLPWM-WHU/D3A 【CCF B类期刊，SCI三区】

6) Wanli Li, Tieyun Qian: Graph-based Model Generation for Few-Shot Relation Extraction.  EMNLP 2022: 62-71.  Paper: 2022emnlp.pdf. Code: https://github.com/NLPWM-WHU/GM_GEN 【CCF B类会议】

7) Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang: Enhancing Graph Convolution Network for Novel Recommendation. DASFAA (2) 2022: 69-84. Paper: 2022dasfaa.pdf.【CCF B类会议】

  5）2021年

1) Zhuang Chen, Tieyun Qian. Bridge-based Active Domain Adaptation for Aspect and Opinion Terms Extraction. ACL, 2021,  research long paper. Paper: 2021acl.pdf. Code: https://github.com/NLPWM-WHU/BRIDGE【CCF A类会议】.

2) Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin. Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR,  2021, research long paper. Paper: 2021sigir.pdf. Code: https://github.com/NLPWM-WHU/EDUA 【CCF A类会议】

3Ke Sun, Tieyun Qian, Xu Chen, Ming Zhong: Context-aware seq2seq translation model for sequential recommendation. Inf. Sci. 581: 60-72 (2021). Paper: 2021ins.pdf. Code:  https://github.com/NLPWM-WHU/CAST 【CCF B类期刊，SCI一区】

 6）2020年及之前

1) Zhuang Chen, Tieyun Qian. Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL, 2020, 3685-3694, research long paper. Paper: 2020acl.pdf. Code: https://github.com/NLPWM-WHU/RACL  【CCF A类会议】

2) Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin. Where to Go Next: Modeling Long and Short Term User Preferences for Point-of-Interest  Recommendation. AAAI 2020, 214-221, research long paper. Paper: 2020aaai.pdf. Code: https://github.com/NLPWM-WHU/LSTPM【CCF A类会议】

3) Zhuang Chen, Tieyun Qian: Transfer Capsule Network for Aspect Level Sentiment Classification. ACL (1) 2019: 547-556, Paper: 2019acl.pdf.  Code: https://github.com/NLPWM-WHU/TransCap 【CCF A类会议】

4) Tieyun Qian, Bei Liu, Quoc Viet Hung Nguyen: Spatiotemporal Representation Learning for Translation-based POI Recommendation. 

ACM Transactions on Information Systems (TOIS), 37(2): 18:1-18:24, 2019, research full paper. Paper: 2019tois.pdf. 【CCF A类期刊，SCI三区】

5) Huilin Yu,TieyunQian,YileLiang, Bing Liu. Adversarial Generation of Target Review for Rating Prediction. DASFAA 2020, 73-89, research long paper.  Paper: 2020dasfaa.pdf. 【CCF B类会议】

6) Yiqi Chen, Tieyun Qian. Relation Constrained Attributed Network Embedding. Information Sciences, 2020, 515: 341-351. Paper:

2020INS.pdf. Code: https://github.com/NLPWM-WHU/CRCAN_RGCN 【CCF B类期刊，SCI一区】

7) Zhuang Chen, Tieyun Qian: Enhancing Aspect Term Extraction with Soft Prototypes. EMNLP (1) 2020: 2107-2117. Paper: 2020emnlp_chen.pdf.  Code: https://github.com/NLPWM-WHU/SoftProto 【CCF B类会议】

8) Mi Zhang, Tieyun Qian: Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. 

EMNLP (1) 2020: 3540-3549. Paper: 2020emnlp_zhang.pdf. Code: https://github.com/NLPWM-WHU/BiGCN 【CCF B类会议】

9) Xiaoya Tang, Tieyun Qian, Zhenni You: Generating Behavior Features for Cold-Start Spam Review Detection with Adversarial 

Learning. Information Sciences, 2020, 526: 274-288.  Paper: 2020INS-Spam.pdf. Code: https://github.com/NLPWM-WHU/BFGAN 【CCF B类期刊，SCI一区】

10) 王飞; 刘井平; 刘斌; 钱铁云; 肖仰华; 彭智勇; 代码知识图谱构建及智能化软件开发方法研究, 软件学报, 2020, 31(1): 47-66.  Paper: 2020软件学报.pdf. 【CCF 中文A类期刊】

11) 陈亦琦，钱铁云，李万理，梁贻乐. 基于复合关系图卷积的属性网络嵌入方法。计算机研究与发展，2020, 57(8): 1674-1682. Paper: 2020研发.pdf 【CCF 中文A类期刊】

12) Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen. What Can History Tell Us? Identifying Relevant Sessions for 

Next-Item Recommendation. CIKM 2019, 1593-1602, Paper: 2019cikm.pdf. 【CCF B类会议】

13) Yile Liang, Tieyun Qian, Huilin Yu. Align Reviews with Topics in Attention Network for Rating Prediction. DASFAA 2019, 

249-253. Code released. 【CCF B类会议】

14) Xiaoya Tang, Tieyun Qian, Zhenni You. Generating Behavior Features for Cold-Start Spam Review Detection. DASFAA 2019, 

324-328. 【CCF B类会议】

15)  Peisong Zhu, Zhuang Chen, Haojie Zheng, Tieyun Qian: Aspect Aware Learning for Aspect Category Sentiment Analysis. TKDD. 

Vol. 13, No. 6, Article 55. Paper: 2019tkdd.pdf. Code: https://github.com/NLPWM-WHU/AAL 【CCF B类期刊， SCI 三区】

16)  Tieyun Qian, Bei Liu, Liang Hong, Zhenni You:Time and Location Aware Points of Interest Recommendation in Location-Based 

Social Networks. J. Comput. Sci. Technol. 33(6): 1219-1230 (2018). 【CCF B类期刊， SCI 三区】

17) Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun: "Bridge": Enhanced Signed Directed Network Embedding. CIKM 2018: 773-782, 

research long paper.  Paper: 2018cikm.pdf. Code:  https://github.com/NLPWM-WHU/BESIDE 【CCF B类会议】

18) Peisong Zhu, Tieyun Qian: Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING 2018: 1077-1087, 

research long paper. Paper: 2018coling-sentiment.pdf. Code: https://github.com/NLPWM-WHU/DAuM 【CCF B类会议】

19) Zhenni You, Tieyun Qian, Bing Liu: An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. 

COLING 2018: 1884-1895, research long paper. Paper: 2018coling-spam.pdf. Code: https://github.com/NLPWM-WHU/AEDA  【CCF B类会议】

20) Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li: BASSI: Balance and Status Combined Signed Network Embedding. DASFAA (1) 

2018: 55-63. 【CCF B类会议】

21) 陈丽，朱裴松，钱铁云，朱辉，周静. 基于边采样的网络表示学习模型, 软件学报, 2018,29(3): 756-771. Paper: 2018软件学报.pdf.【CCF 中文A类期刊】

22) Tieyun Qian, Bing Liu, Qing Li, Jianfeng Si: Review Authorship Attribution in a Similarity Space. JCST, 30(1): 200-213, 

2015. 【CCF B类期刊， SCI 三区】

23) Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He: Co-training on authorship attribution with very few labeled examples: methods vs. 

views. SIGIR, poster paper, 903-906, 2014. 【CCF A类会议】

34) Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng: Tri-Training for Authorship Attribution with Limited Training Data. ACL, short paper, 

345-351,  2014. 【CCF A类会议】

25) Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang: Exploiting small world property for network 

clustering. World Wide Web 17(3): 405-425, 2014. 【CCF B类期刊， SCI 三区】

26) Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu: Topic formation and development: a core-group 

evolving process. World Wide Web 17(6): 1343-1373, 2014. 【CCF B类期刊， SCI 三区】

27) Tieyun Qian, Bing Liu. Identifying Multiple Userids of the Same Author. EMNLP 2013, 1124-1135, 2013. 【CCF B类会议】

   4. 科研项目

1） 近年来主持的国家和省部级项目

国家自然科学基金项目、62276193、面向细粒度自然语言处理的反事实数据增强方法研究，在研、主持。

基于大模型的***生成技术，项目编号***，在研、主持。

基于*** 方法，项目编号***，在研、主持。

***融合***，项目编号***，已结题，子课题负责人。

基于***分析技术，项目编号***，已结题，子课题负责人。

国家自然科学基金项目、61572376、社会媒体中的垃圾用户识别方法研究，已结题、主持。

国家自然科学基金项目、61272275、基于语言特征的网络用户身份属性识别方法研究、已结题、主持。

教育部博士点基金项目、20090141120050、基于主题社区的文献选取方法研究、已结题、主持。

湖北省自然科学基金项目、2008CDB340、基于多维关联聚类技术的文献综述自动生成、已结题、主持。

2）参与的国家和省部级项目

国家自然科学基金海外杰出青年基金、网络电子图书的自动编辑与维护、61028003

广东省与国家自然科学基金委联合基金、U1135005、跨媒体协同处理与服务的理论和应用研究、已结题、参与。

国家自然科学基金面上项目、60873007、主动式对象关系规则网研究及其应用、已结题、参与。

3）合作研究项目

基于机器学习的***算法研制，WXCGHT2023168，在研、主持。

基于电力大数据的信用及数字金融支撑技术研究，SGTYHT/18-JS-206，已结题、课题负责人。

企业全生命周期关键事件识别和要素抽取、XB11SJ20180022，已结题、主持。

大数据咨询研究服务项目，HTJC-2016FF02-003，已结题、主持。