Song Cheng
    M.S. Student
    Anhui Province Key Laboratory of Big Data Analysis and Application   (BASE Group)
School of Computer Science and Technology
University of Science and Technology of China (USTC)
    Email: chsong@mail.ustc.edu.cnchsong513@gmail.com;   GITHUB  RESUME
Office: Room 212, Science and Technology Laboratory Building, West Campus of USTC.

Biography

I am a M.S. student at the School of Computer Science and Technology of University of Science and Technology of China. I will be working in Alibaba Group-Alibaba Cloud Intelligence Business Group-DingTalk-dingding-AI Tech, and the work place is Future Park-Hangzhou-Zhejiang. My supervisors are Prof. Enhong Chen. and Prof. Qi Liu.
My research interests include Cognitive Diagnose; Deep Knowledge Tracing; Data Mining; Machine Learning; Transfer Learning;

Education

  • Sep. 2018 ~ Jul. 2021, M.S. Student, School of Computer Science and Technology, USTC, China. Major: computer application
  • Sep. 2014 ~ Jul. 2018, B.S. Student, Northwestern Polytechnical University, NWPU, China. Major: software engineering

Experience

  • June. 2020 ~ Sep. 2020, Internship, NetEase. Post: user portrait researcher
  • Nov. 2019 ~ Nov. 2019, Conference, The 28th ACM International Conference on Information and Knowledge Management.
  • March. 2018 ~ May. 2018, Internship, IFLYTEK CO.LTD. Post: big data researcher

Publications

[1]. Song Cheng, Qi Liu*, Enhong Chen, Zai Huang, Zhenya Huang, Yuying Chen, Haiping Ma, Guoping Hu, DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis, The 28th ACM International Conference on Information and Knowledge Management (CIKM’2019), Beijing, China,November 3-7 2019. accepted. [PDF] [SLIDE] [POSTER] [CODE]

[2]. Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang*, Yu Yin, Xiaoqing Huang, Yu su, AdaptKT: A Domain Adaptable Method for Knowledge Tracing, The Fifteenth International Conference on Web Search and Data Mining (WSDM’2022), Tempe, Arizona,2/21 - 2/25, 2022. [PDF]

Patents

  • CN201910676812.0 基于深度项目反应理论的认知诊断方法
  • CN202010248722.4 领域自适应的深度知识追踪及个性化习题推荐方法

Honors

  • 2019 HuaWei Scholarship

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