Liyi Chen
Ph.D. Student
School of Data Science, University of Science and Technology of China (USTC)
State Key Laboratory of Cognitive Intelligence

Email: liyichencly@gmail.com, liyichen@mail.ustc.edu.cn
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Brief
I am currently a Ph.D. student under the supervision of Prof. Hui Xiong at the School of Data Science in the University of Science and Technology of China. Prior to this, I obtained my B.Eng. degree in June 2020 from Nanjing University of Aeronautics and Astronautics. My research interests include large language models, knowledge graphs, multimodal learning, and other related tasks in data mining.
[Education] [Awards] [Publications] [Services] [Internships] [Skills]
Education
Awards
Publications
  1. Wei Wu, Chao Wang*, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong*. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024), Washington D.C., USA, 2024, Accepted.
  2. Lili Zhao, Qi Liu*, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, Chao Song. COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024), Washington D.C., USA, 2024, Accepted.
  3. Liyi Chen, Chuan Qin*, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong*. Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. In Proceedings of the ACM Web Conference 2024 (WWW'2024), Singapore, 2024, 3976-3985.[Link][Code]
  4. Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong*. Temporal Graph Contrastive Learning for Sequential Recommendation. In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI'2024), Vancouver, Canada, 2024, 38 (8), 9359-9367. [Link]
  5. Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu*, Nicholas Jing Yuan, Enhong Chen. Entity Summarization via Exploiting Description Complementarity and Salience. In IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Volume: 34, Issue: 11, 2023, 8297-8309. [Link]
  6. Liyi Chen, Zhi Li, Tong Xu*, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen. Multi-modal Siamese Network for Entity Alignment. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2022), Washington DC, USA, 2022, 118-126. [Link][Code]
  7. Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen*. Text Classification via Learning Semantic Dependency and Association. In Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN'2022), Padova, Italy, 2022. [Link]
  8. Fake Lin, Weican Cao, Wen Zhang, Liyi Chen, Yuan Hong, Tong Xu, Chang Tan. Knowledge-Enhanced Retrieval: A Scheme for Question Answering. In Proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing (CCKS'2021), Guangzhou, China, 2021, 102-113. [Link]
  9. Shiwei Wu, Joya Chen, Tong Xu*, Liyi Chen, Lingfei Wu, Yao Hu, Enhong Chen. Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN. In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM'2021), Chengdu, China, 2021, 4716-4724. [Link]
  10. Liyi Chen, Zhi Li, Yijun Wang, Tong Xu*, Zhefeng Wang, Enhong Chen. MMEA: Entity Alignment for Multi-modal Knowledge Graphs. In Proceedings of the 13th International Conference on Knowledge Science, Engineering and Management (KSEM'2020), Hangzhou, China, 2020, 134-147. [Link][Code] (Best Paper Award)
Services
Internships
Skills