Jiayu Liu  (刘嘉聿)


Ph.D student

School of 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 211, Science and Technology Laboratory Building, West Campus, USTC, Hefei, Anhui, China, 230027.

Biography

I am a Ph.D student at the School of Data Science, University of Science and Technology of China (USTC), and a member of the BASE Group of the Anhui Province Key Laboratory of Big Data Analysis and Application, co-supervised by Prof. Enhong Chen and Prof. Zhenya Huang.
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*, 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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.
  9. 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.
  10. 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]
  11. 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]
  12. 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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