·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] STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction, Shuo Liang, Wei Wei*, Xian-Ling Mao , Yuanyuan Fu, Rui Fang, Dangyang Chen, In: Proceedings of the 37thAAAI Conference on Artificial Intelligence (AAAI'23), Washington DC Convention Center, USA. [CCF A]
- [2] Unsupervised Hashing with Semantic Concept Mining, Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang,In: Proceedings of ACM SIGMOD/PODS International Conference on Management Data (SIGMOD 2023), Seattle, WA, USA. [CCF A]
- [3] ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity, Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei*, Xuemeng Song, Shuo Shang, Panos Kalnis,Ling Shao*, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
- [4] Heterogeneous Graph Neural Network with Multi-view Representation Learning, Zezhi Shao, Yongjun Xu, Wei Wei*, Fei Wang*, Zhao Zhang, Feida Zhu, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
- [5] H-Diffu: Hyperbolic Representations for Information Diffusion Prediction, Shanshan Feng, Kaiqi Zhao, Lanting Fan, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
Patents
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Published Books
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Research Projects
MORE+- [1] 面向复杂对话场景建模的开放域可控人机对话系统关键技术研究,国家自然科学基金(面上),2023-2026 (主持,在研)
- [2] 华科-平安产险人工智能联合实验室,2022-2025(主持,在研)
- [3] 基于专家经验的可控对话系统,CCF-蚂蚁基金,2022-2022 2023-2026 (主持,在研)
- [4] 微博社交网络中主题专家搜索关键技术研究, 国家自然科学基金青年基金 (项目编号:61602197), 2017~2019 (主持, 在研)
- [5] 面向问答系统中开放式问题分析及答案融合方法的关键技术研究, 湖北省自然科学青年基金(项目编号:2016CFB192), 2015~2017 (主持, 在研)