1、基本信息
姓名：项威
专业职称：特任副研究员
博/硕导：硕士生导师
邮箱：xiangwei@ccnu.edu.cn
办公电话：027-67867597
2、个人简介
本人现任华中师范大学人工智能教育学部特任副研究员；博士毕业于华中科技大学信息与通信工程专业，后于华中科技大学从事博士后研究工作。主要研究方向涵盖大语言模型、推荐系统、人工智能安全，现阶段重点研究学习资源推荐和认知智能与安全。已在 ACL、COLING、EMNLP、CSUR、Neural Networks等高水平期刊和国际学术会议发表论文近 30 篇。
招生信息：现诚招有志于科研的硕士研究生，同时欢迎自律上进、热爱科研的本科生加入课题组。若有意向合作交流，欢迎发送个人简历至本人邮箱。
3、工作经历
2024-08月至今,华中师范大学,特任副研究员
2023-12月至2024-07月,华中科技大学,博士后
4、研究方向
大语言模型、推荐系统、人工智能安全
5、科研项目
2025; Principal Investigator; Key Research Project (Open Fund of Key Laboratory of Intelligent Security Technology for Complex Environments, Ministry of Education), Research on Cross-Domain Radio Frequency Fingerprint Identification Technology Based on Semantic Enhancement (Grant No. A3202501), Source of Funding: Ministry of Education of China, Project Status: Ongoing
2025; Principal Investigator; Provincial Natural Science Foundation, Research on Knowledge Management and Strategic Abstract Generation Technology for Intelligent Transportation (Grant No. 2025AFD762), Source of Funding: Hubei Provincial Department of Science and Technology, Project Status: Ongoing
2024; Principal Investigator; Basic Scientific Research Business Expenses of Central Universities (Open Fund), Research on Learning Resource Recommendation for Moral Education (Grant No. CCNU24XJ029), Source of Funding: Central China Normal University, Project Status: Ongoing
2022; Participant; Key Research Project (Open Fund of Hubei Provincial Key Laboratory of Yangtze River Water Environment), Research on Construction Technology of Water Conservancy Knowledge Graph in Yangtze River Basin (Grant No. ZH21020001), Source of Funding: Hubei Provincial Key Laboratory of Yangtze River Water Environment, Project Status: Completed
6、专利成果
2024; Xiang Wei; Inventor; Patent; Event Causality Relation Recognition Method Based on Iterative Graph Prompt Learning (Application No.: 2025113326144);
2024; Xiang Wei; Inventor; Patent; Event Causality Relation Recognition Method and System Based on Topic-Aware Context Learning (Application No.: 2024117023057);
2024; Xiang Wei; Inventor; Patent; Construction Method and Application of Implicit Discourse Relation Recognition Model (Patent No.: ZL202310468690.2);
7、学术活动
Area Chair & Program Committee: ACL ARR (2026, 2025), IEEE ICPADS (2025), IEEE AIAHPC (2025), IEEE TrustCom (2025), IEEE HPCC (2024, 2022).
Conference Reviewer: ACL ('25, '24, '23, '22), AAAI ('25), NAACL ('25, '24, '23), EMNLP ('24, '23), ECAI ('23)， NLPCC （‘25, '24).
Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Big Data (TBD), Expert Systems with Applications (ESWA), Neural Networks, Neurocomputing, Engineering Applications of Artificial Intelligence (EAAI), Multimedia Systems, Data Science and Engineering (DSEJ), etc.
8、教育背景
2007年至2011年,华中科技大学,电子信息与通信学院,电子信息工程,本科
2020年至2023年,华中科技大学,电子信息与通信学院,信息与通信系统,博士
9、讲授课程
深度学习, 春, 2026、信息检索技术, 秋, 2025、计算机网络, 秋, 2024
10、发表论文
[Conf.]
WWW 2026 J. Sun, S. Liu, X. Deng, W. Xiang, M. Luo, Q. Zhang, D. Zheng. Unsupervised Subgraph Anomaly Detection based on Pattern Collaboration, Accepted by The ACM Web Conference (WWW). Dubai, United Arab Emirates, 2026, pp.1-8.
WWW 2026 X. Fan, J. Sun, X. Deng, Q. Zhang, W. Xiang, S. Liu, L. Yi. Automated Model Selection for Multivariate Time Series Forecasting, Accepted by the ACM web conference (WWW). Dubai, United Arab Emirates, 2026, pp.1-8.
ACL 2025 W. Xiang, C. Zhan, Q. Zhang and B. Wang. Evaluating Instructively Generated Statement by Large Language Models for directional Event Causality Identification, In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-Findings). Vienna, Austria, 2025, pp.779–785.
ICPADS 2025 N. Zhang, S. Chen, S. Liu, X. Deng, Y. He, W. Xiang, M. Li. SecFinder: An IoT Device Identification System Based on Flow-level Traffic in Smart Home, In IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS). Hefei, China, 2025, pp.1-8. (Outstanding Paper)
TrustCom 2025 Z. Jin, J. Ma, Y. He, W. Xiang, Q. Zhang, T. Zhang. TLSA: Transfer Learning Enhanced Link Stealing Attacks on Graph Neural Networks, In 2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Guiyang, China, 2025, pp.1182-1189.
ACL 2024 C. Liu, W. Xiang and B. Wang. Identifying while Learning for Document Event Causality Identification, In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL). Bangkok, Thailand, 2024, pp.3815–3827.
ACL 2024 S. Liu, B. Wang, W. Xiang, H. Xu and M. Xu. Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection, In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL-Findings). Bangkok, Thailand, 2024, pp.2930–2942.
EMNLP 2024 C. Liang, W. Xiang and B. Wang. In-context Contrastive Learning for Event Causality Identification, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). Miami, Florida, USA, 2024, pp.868-881.
EMNLP 2024 C. Zhan†, W. Xiang†, C. Liang and B. Wang. What Would Happen Next? Predicting Consequences from An Event Causality Graph, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP-Findings). Miami, Florida, USA, 2024, pp.820–832.
NLPCC 2024 R. Wang, W. Xiang, Z. Wang and B. Wang. Retrieval-Enhanced Template Generation for Template Extraction, In The 13rd CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC). Hangzhou, China, 2024, pp.379-391.
NLPCC 2024 Z. Zheng, C. Liang, W. Xiang and B. Wang. Bias-Rectified Multi-way Learning with Data Augmentation for Implicit Discourse Relation Recognition, In The 13rd CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC). Hangzhou, China, 2024, pp.366–378.
ACL 2023 W. Xiang, C. Liang and B. Wang. TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition, In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL-Findings). Toronto, Canada, 2023, pp.12403–12414.
EMNLP 2023 S. Liu, Z. Luo, M. Xu, L. Wei, Z. Wei, H. Yu, W. Xiang and B. Wang. Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection, In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). Singapore, 2023, pp.4200-4213.
COLING 2022 W. Xiang, Z. Wang, L. Dai and B. Wang. ConnPrompt: Connective-Cloze Prompt Learning for Implicit Discourse Relation Recognition, In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, 2022, pp.902-911.
ACL 2022 W. Xiang, B. Wang, L. Dai and Y. Mo. Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition, In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-Findings). Dublin, Ireland, 2022, pp.3247-3257.
EMNLP 2022 L. Dai, B. Wang, W. Xiang and Y. Mo. Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). Abu Dhabi, United Arab Emirates, 2022, pp.6251-6263.
PAKDD 2022 L. Dai, B. Wang, W. Xiang, M. Xu and H. Xu. A Hybrid Semantic-Topic Co-encoding Network for Social Emotion Classification, In The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Chengdu, China, 2022, pp.587–598.
NLPCC 2021 L. Dai, B. Wang, W. Xiang and Y. Mo. Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network, In The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC). Qingdao, China, 2021, pp.59–72.
SIGIR 2019 C. Wang, B. Wang, W. Xiang and M. Xu. Encoding Syntactic Dependency and Topical Information for Social Emotion Classification, In The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). Paris, France, 2019, pp.881-884.
[Jour.]
ToSN 2026 Suwen Zhu, Yiheng Ruan, W. Xiang†, Yuanyuan He, Shenghao Liu, Jing Wang, Xianjun Deng. MVSTA:Multi-View Spatio-Temporal Correlation Awareness Network for Traffic Data Imputation, Transactions on Sensor Networks,2026, vol.22, pp.1-24.
Neu.Net. 2026 C. Liang, B. Wang, C. Zhan, W. Xiang†. Multiplex Graph Prompt Learning and Attentive Fusion for Event Graph Completion, Neural Networks (Elsevier), 2026, vol.199, pp.108730.
TASLP 2025 C. Zhan, W. Xiang, C. Liang and B. Wang. Unified Semantic and Structural Modeling via Focal Attention for Causality Graph Event Prediction, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2025, vol.33, pp.4538-4551.
Neu.Net. 2025 W. Xiang, C. Liu and B. Wang. Modeling Document Causal Structure with a Hypergraph for Event Causality Identification, Neural Networks (Elsevier), 2025, vol.184, pp.107080.
TASLP 2025 B. Wang, Z. Wang, W. Xiang and Y. Mo. Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2025, vol.33, pp.586-597.
NCAA 2025 W. Xiang, C. Zhan, Q. Zhang and B. Wang. DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification, Neural Computing and Applications (Springer), 2025, vol.37, pp.21743-21759.
CSL 2025 W. Xiang, C. Liu and B. Wang. Modeling correlated causal-effect structure with a hypergraph for document-level event causality identification, Computer Speech and Language (Elsevier), 2025, vol.90, pp.101752.
NCAA 2024 W. Xiang, S. Liu and B. Wang. Parsing and Encoding Interactive Phrase Structure for Implicit Discourse Relation Recognition, Neural Computing and Applications (Springer), 2024, vol.36, pp.13783-13797.
CSUR 2023 W. Xiang and B. Wang. A Survey of Implicit Discourse Relation Recognition, ACM Computing Surveys, 2023, vol.55(12), pp.1-34.
ESWA 2023 B. Wang, X. Cai, M. Xu and W. Xiang†. A graph-enhanced attention model for community detection in multiplex networks, Expert Systems With Applications (Elsevier), 2023, vol.230(15), pp.120552.
NPL 2023 L. Dai, B. Wang, W. Xiang and Y. Mo. Modeling Character-Word Interaction via a Novel Mesh Transformer for Chinese Event Detection, Neural Processing Letters (Springer), 2023, vol.55, pp.11429-114488.
Appl.Int. 2022 L. Dai, B. Wang, W. Xiang and Y. Mo. A Syntactic Distance Sensitive Neural Network for Event Argument Extraction, Applied Intelligence (Springer), 2022, vol.53, pp.6554-6568.
ACCESS 2020 W. Xiang and B. Wang. A Survey of Event Extraction from Text, IEEE ACCESS, 2019, vol.7, pp.173111-173137.
