Jingwei Xu

  • Assistant Researcher
  • Institute of Computer Software, Nanjing University
  • Room 919, Computer Science and Technology Building
  • jingweix (at) nju dot edu dot cn

Research Interests

  • Deep learning: Testing, analysis, and Application
  • Data mining: Recommender Systems


  • Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, and Jian Lu, “HoORaYs: High-order Optimization of Rating Distance for Recommender Systems” , in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , 525–534, 2017.
  • Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, and Jian Lu, “RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem”, IEEE Transactions on Knowledge and Data Engineering , 1–1, 2016.
  • Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, and Jian Lu, “Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison”, in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 , 3981–3987, 2015.
  • Haibo Ye, Tao Gu, Xiaorui Zhu, Jingwei Xu, Xianping Tao, Jian Lu, and Ning Jin, “FTrack: Infrastructure-free floor localization via mobile phone sensing”, in 2012 IEEE International Conference on Pervasive Computing and Communications, Lugano, Switzerland, March 19-23, 2012 , 2–10, 2012.


I'm co-supervising students with Prof. Chang Xu, Prof. Xiaoxing Ma, and Prof. Chun Cao.

  • Huiyan Wang 王慧妍 (PhD, with Prof. Chang Xu, Quality assurance for intelligent software)
  • Zenan Li 李泽南 (MSc, with Prof. Xiaoxing Ma, Machine Learning & Deep Learning)
  • Qingping Li 李青坪 (MSc, with Prof. Chun Cao, Task scheduling for deep learning task)
  • Rui Qiu 邱睿 (MSc, with Prof. Chun Cao, Recommender systems)
  • Yuehuan Wang 王月欢 (MSc, with Prof Xiaoxing Ma, Testing deep learning programs)
  • Siyuan Zhu 朱思远 (MSc, with Prof. Chang Xu, coming soon!)
  • Cheng Zhang 张铖 (MSc, coming soon!)


  • 2019 (Spring) Introduction to Algorithm Design and Analysis
  • 2018 (Spring) Introduction to Algorithm Design and Analysis


  • KDD2017 Student Travel Awards


  • PC Member for: ASONAM 2016-2018, CIKM 2017 (Short papers), AAAI 2018, PAKDD 2018


  • [WSNs based Human Activity Recognition System]
    • A real-time AR system that built in Department of Computer Science & Technology, Nanjing University.


  • The proof that the derivative of Eq. (12) is Lipschitz continuous in our TKDE submission.
  • Another implimentation for our KDD paper.

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