🏛️ About me

I'm currently an Associate Professor at the Faculty of Artificial Intelligence in Education of The Central China Normal University (CCNU). Previously, I obtained my Ph.D. in Information and Communication Engineering from Huazhong University of Science and Technology (HUST), supervised by Prof. Bang Wang. After that, I have spent times as a Postdoctoral Researcher at HUST, supervised by Prof. Xiang Bai. My research interests cover the broad area of large-scale language model, natural language processing, knowledge graphs, and recommendation systems, with a current focus on Cognitive Intelligence and Security, Learning Resources Recommendation. I have published nearly 30 papers in the top international conferences and journals such as ACL, COLING, EMNLP, CSUR, Neur.Netw., ESWA, etc.

Prospective students: I am looking for master's students interested in scientific research to work together, as well as self-motivated undergraduate students to study in the research group. If you are interested in working with me, please drop me an email with your resume.

💼 Work Experiences

• 2024.08 - Now, Associate Professor, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.
• 2024.02 - 2024.07, Postdoc Researcher, School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China.
• 2015.07 - 2020.08, Student Counselor, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China.

🎓 Educations

• 2020.09 - 2023.12, Ph.D. in Information and Communication Engineering, Huazhong University of Science and Technology, Wuhan, China.
• 2013.09 - 2015.06, M.Mgt. in Administrative Management, Huazhong University of Science and Technology, Wuhan, China.
• 2007.09 - 2011.06, B.Eng. in Electronic Information Engineering, Huazhong University of Science and Technology, Wuhan, China.

📝 Selected Publications

Conference Papers

• ACM MM 2026 Y. Shen, K. Cui, W. Xiang^†, S. Liu, X. Deng. RAFTNet: Rationale Adaptive Fusion Target-guided Agent Network for Harmful Meme Detection, Accepted by The ACM International Conference on Multimedia (ACM MM). Rio de Janeiro, Brazil, 2026, pp.1-9.
• 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.
• 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.
• 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.
• 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.

Journal Papers

• TASLP 2026 Wei Xiang, Chuanhong Zhan, Xu Du, Bang Wang. Calibrating In-context Bias in Large Language Model Predictions for Event Causality Identification, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2026, vol.34, pp.2738-2750.
• ToSN 2026 Suwen Zhu, Yiheng Ruan, Wei 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 Chao Liang, Bang Wang, Chuanhong Zhan, Wei Xiang^†. Multiplex Graph Prompt Learning and Attentive Fusion for Event Graph Completion, Neural Networks (Elsevier), 2026, vol.199, pp.108730.
• DCN 2026 Hanjun Gao, Jiaqi Sun, Wei Feng, Xiaoxuan Fan, Wei Xiang^†, Shenghao Liu, Xianjun Deng. Anomaly Detection in Industrial Control Networks Based on Deep Reinforcement Learning and Data Reconstruction, Accepted by Digital Communications and Networks (Elsevier), 2026, pp.1-12.
• TDSC 2026 Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Suning Chen, Lingzhi Yi, Shenghao Liu, Wei Xiang. Temporal-augmented Source-Free Domain Adaptation for Secure and Robust Federated Time-series Learning , Accepted by IEEE Transactions on Dependable and Secure Computing, 2026, pp.1-14.
• TBD 2026 Liangbin Gao, Kai Cui, Wei Xiang^†, Shenghao Liu, Hanjun Gao, Wei Feng, Xianjun Deng. DDMGN: Dual-Domain Multimodal Graph Network for Fake News Video Detection, Accepted by IEEE Transactions on Big Data, 2026, pp.1-14.
• Neu.Net. 2025 Wei Xiang, Cheng Liu and Bang Wang. Modeling Document Causal Structure with a Hypergraph for Event Causality Identification, Neural Networks (Elsevier), 2025, vol.184, pp.107080.
• NCAA 2025 Wei Xiang, Chuanhong Zhan, Qing Zhang and Bang Wang. DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification, Neural Computing and Applications (Springer), 2025, vol.37, pp.21743-21759.
• CSL 2025 Wei Xiang, Cheng Liu and Bang 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.
• CSUR 2023 Wei Xiang and Bang Wang. A Survey of Implicit Discourse Relation Recognition, ACM Computing Surveys, 2023, vol.55(12), pp.1-34.
• ESWA 2023 Bang Wang, Xiang Cai, Minghua Xu and Wei Xiang^†. A graph-enhanced attention model for community detection in multiplex networks, Expert Systems With Applications (Elsevier), 2023, vol.230(15), pp.120552.

🎖️ Awards and Service

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 (‘26, ‘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), IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Information Fusion, Expert Systems with Applications (ESWA), Informationi Science, Neural Networks, Neurocomputing, Engineering Applications of Artificial Intelligence (EAAI), Multimedia Systems, Computer Speech & Language (CSL), Data Science and Engineering (DSEJ), etc.

Awards:

• Hubei Provincial Science and Technology Progress Award, Second Prize, Department of Science and Technology of Hubei Province, 2026.
• National Scholarship for Doctoral Students, Ministry of Education of the People’s Republic of China, 2023.
• Huawei Scholarship, Huawei Technologies Co., Ltd., 2022.