Liyi Chen
Ph.D. Student
School of Artificial Intelligence and 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 at the School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC), and a member of the State Key Laboratory of Cognitive Intelligence, under the supervision of Prof. Hui Xiong (AAAS Fellow, IEEE Fellow, CAAI Fellow, ACM Distinguished Scientist). My research interests focus on large language models, intelligent agents, knowledge graphs, and multimodal learning. I received my B.Eng. degree from Nanjing University of Aeronautics and Astronautics (NUAA) and was recommended to USTC for postgraduate study with the first place in my major. During my undergraduate and graduate studies, I have received three National Scholarships and eight First-Class Academic Scholarships. I was also awarded the President's Scholarship of Chinese Academy of Sciences, and was recognized as an Outstanding Graduate at both provincial and university levels. I have published over 10 papers in top-tier conferences and journals including NeurIPS, KDD, SIGIR, AAAI, IEEE TNNLS, etc., with 6 first-authored papers and 2 second-authored papers. One of my works was featured in MIT Technology Review and ranked first on their trending list. I received the only Best Paper Award at KSEM 2020 and the NeurIPS Scholar Award. Our work on long-context inference was cited as a representative work by DeepSeek's Wenfeng Liang in his native sparse attention paper. These research achievements were supported by multiple National Key R&D Programs of China and Major Research Plans of NSFC.
[Education] [Publications] [Internships] [Awards] [Services] [Skills]
Education
Publications
  1. Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye*, Hui Xiong*. Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs. In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, Canada, 2024, 37665-37691.[Link][Code][MIT Technology Review]
  2. Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong*. Tackling Uncertain Correspondences for Multi-Modal Entity Alignment. In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, Canada, 2024, 119386-119410. [Link][Code]
  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. 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]
  5. 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]
  6. 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)
  7. Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang*, Hui Xiong*. Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. In Proceedings of the ACM Web Conference 2025 (WWW'2025), Sydney, Australia, 2025, Accepted.
  8. 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]
  9. 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, 1242-1252. [Link]
  10. 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, 218-228. [Link]
  11. 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]
  12. 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]
  13. 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]

Preprint

  1. Wei Wu, Zhuoshi Pan, Chao Wang, Liyi Chen, Yunchu Bai, Kun Fu, Zheng Wang, Hui Xiong. TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection. arXiv preprint arXiv:2411.02886, Nov. 2024. [arXiv]
  2. Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang. Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding. arXiv preprint arXiv:2410.03553, Oct. 2024. [arXiv]
Internships
Awards
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