Jiayu Liu  (刘嘉聿)


Ph.D student

School of Artificial Intelligence and Data Science
University of Science and Technology of China (USTC)
Research Group: BASE Group (Bigdata and Artificial intelligence for Science and Education)

Email: jy251198@mail.ustc.edu.cn
Office: Room 706, Xin Zhi Building, High-tech Campus, USTC, Hefei, Anhui, China, 230027.

Biography

I am 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 BASE Group of the State Key Laboratory of Cognitive Intelligence, co-supervised by Prof. Enhong Chen and Prof. Zhenya Huang. Nowadays, I am also on my visit in Prof. Yee Whye Teh's group in University of Oxford.
I received my Bachelor degree in Applied Mathematics from University of Science and Technology of China in July, 2020.

Research Interests

My general research interests include Data Mining and Knowledge Discovery, Artificial Intelligence. The main goal is to study how to learn, analyze and organize knowledge from data, as well as designing intelligent systems to help people manage and apply big data and knowledge for improving the service of real-world applications.

Education

Honors

Selected Publications

[Google Scholar]

( *, Corresponding author )

  1. Jiayu Liu, Zhenya Huang, Qi Liu, Zhiyuan Ma, Chengxiang Zhai, Enhong Chen, Knowledge-Centered Dual-Process Reasoning for Math Word Problems with Large Language Models, IEEE Transactions on Knowledge and Data Engineering (TKDE): 37(6): 3457-3471, 2025.
  2. Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai, Enhong Chen, What Makes In-context Learning Effective for Mathematical Reasoning, The 42 International Conference on Machine Learning (ICML'2025): accepted, 2025. [PDF] [DATA & CODE]
  3. Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen, CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective, The 42 International Conference on Machine Learning (ICML'2025): accepted, 2025. [PDF] [DATA & CODE]
  4. Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen, SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024): 85693-85721, Vancouver, Canada, December 10-15, 2024 (Spotlight). [PDF] [DATA & CODE]
  5. Jiayu Liu, Zhenya Huang*, Zhiyuan Ma, Qi Liu, Enhong Chen*, Tianhuang Su, Haifeng Liu, Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023): 1477–1488, Long Beach, CA, USA, August 6-10, 2023. [PDF] [SLIDE] [DATA & CODE]
  6. Jiayu Liu, Zhenya Huang*, Chengxiang Zhai, Qi Liu, Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning, The 36th AAAI Conference on Artificial Intelligence (AAAI'2023): 4497-4506, WashingTon, DC, USA, Feb.7-14, 2023. [PDF] [SLIDE] [DATA & CODE]
  7. Jiayu Liu, Zhenya Huang*, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen, A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers, The 22nd IEEE International Conference on Data Mining (ICDM'2022): 269-278, Orlando, FL, USA, November 28-December 1, 2022. [PDF] [SLIDE] [DATA & CODE]
  8. Jiayu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, Enhong Chen, Yu Su, A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems, Journal of Computer Science and Technology (JCST): 38(6): 1203-1222, 2023. [Link]
  9. Zhiyuan Ma, Zhenya Huang, Jiayu Liu, MinmaoWang, Hongke Zhao, Xin Li, Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI'2025): 24821-24830, Philadelphia, Pennsylvania, USC, February 25–March 4, 2025 (Oral). [PDF]
  10. Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin Lin, Yuting Ning, Binbin Jin, Xin Li, Qi Liu, Solving Intricate Problems with Human-like Decomposition and Rethinking, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024): 357-385 Vancouver, Canada, December 10-15, 2024 (Oral). [PDF]
  11. Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen, Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process, The 33rd International Joint Conference on Artificial Intelligence (IJCAI'2024): 6559-6568, Jeju, August 03-09, 2024. [PDF]
  12. Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang, Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing, The ACM Web Conference 2024 (WWW'2024): 1395-1406, Singapore, May 13-17, 2024. [PDF]
  13. Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su, Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm, The ACM Web Conference 2024 (WWW'2024): 3420-3431, Singapore, May 13-17, 2024. [PDF]
  14. Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu and Qi Liu, Enhancing the Completeness of Rationales for Multi-Step Question Answering, The 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024): accepted.
  15. Bihan Xu, Zhenya Huang*, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang, Learning Behavior-oriented Knowledge Tracing, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023): 2789-2800, Long Beach, CA, USA, August 6-10, 2023. [PDF] [SLIDE]
  16. Shiwei Tong, Jiayu Liu, yuting Hong,Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang, Incremental Cognitive Diagnosis for Intelligent Education, The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2022): 1760-1770, Washington, DC, USA, August 14–18, 2022. [PDF] [SLIDE]
  17. Longhu Qin, Jiayu Liu, Zhenya Huang*, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen, A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023): 1780-1784, Taipei, Taiwan, China, July 23-27, 2023. [PDF] [SLIDE]
  18. Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen, Understanding and Improving Fairness in Cognitive Diagnosis, SCIENCE CHINA Information Sciences (SCIS), 2023. accepted.
  19. Guanhao Zhao, Zhenya Huang*, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen, Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems, The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023), Birmingham, UK, Oct. 21-25, 2023. accepted.
  20. Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, and Qi Liu, A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation, The 31st ACM International Conference on Information and Knowledge Management (CIKM'2022): 4667-4671, Atlanta GA USA, Oct. 17-21, 2022.[Link]
  21. Changyang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jiayu Liu, Qi Liu, Gang Zhou, Clause-level Relationship-aware Math Word Problems Solver, Machine Intelligence Research (MIR): 19(5), 425-438, 2022.[Link]
  22. 黄振亚, 刘淇, 陈恩红, 林鑫, 何理扬, 刘嘉聿, 王士进, 面向学科题目的文本分析方法与应用研究综述, 中文信息学报, 36(10), 2022年10月. [PDF]

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