·Scientific Research
Research Field
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Research Interests: Information Retrieval (IR), Text Mining (TM), Natural Language Processing (NLP), Machine Learning (ML), Artificial Intelligence (AI), Recommender Systems (RS), Social Media Analysis and etc. Welcome to the students who are interested in my research topics. Specific requirements: integrity, initiative, independent, strong programming/mathematics/English/ independent-learning capacity and clear logical thinking. Please send your resume to my mailbox (weiw@hust.edu.cn)
The research fundings and postgraduate quotas of our research group are adequate, which can provide excellent treatment/research environment/opportunities for joined graduate students: (1) Diligent /outstanding students will be recommended to the famous foreign universities or research institutions for academic exchange; (2) Welcome to the undergraduate students who are interested in research and have enough spare-time to participate in research projects, which is benefitting for the preparations of future employment or further education.
Paper Publications
MORE+- [1] Data-Aware Proxy Hashing for Cross-modal Retrieval, Rong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei and Heyan Huang, In:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR‘23), TaiBei, China. [CCF A]
- [2] Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation, Sen Zhao, Wei Wei*, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen and Feida Zhu, In:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR‘23), TaiBei, China. [CCF A]
- [3] Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning, Sen Zhao, Wei Wei*, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang and Zujie Wen, In:Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China. [CCF A]
- [4] An Empirical Study on the Language Modal in Visual Question Answering, Daowan Peng, Wei Wei*, Xian-Ling Mao, Yuanyuan Fu, and Dangyang Chen, In:Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China. [CCF A]
- [5] AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking, Nie Yuxiang, Huang Heyan, Wei Wei, Mao Xian-Ling, In:Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL2023), Toronto,Canada. [CCF A]
Patents
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Published Books
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