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

  • DevOps for Intelligent Software

News

  • Congratulations on Jian Xie's Neurips'22 paper "A Deep Learning Dataloader with Shared Data Preparation"!
  • Congratulations on Sen Wang and Zhuheng Sheng's ASE'22 tool-demo paper "ADEPT: A Testing Platform for Simulated Autonomous Driving"!
  • Congratulations on Zenan Li's ESEC/FSE'20 paper "Operational calibration: Debugging confidence errors for DNNs in the field"!
  • Congratulations on Yuehuan Wang's JCST journal paper "基于鲁棒性预测的深度神经网络质量保障"!
  • Congratulations on Huiyan Wang's ICSE'20 paper "DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer Dissection"!

Publications

  • Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, and Jian Lü, “Operational calibration: Debugging confidence errors for DNNs in the field”, in Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering , 901–913, 2020.
  • YueHuan Wang, Zenan Li, JingWei Xu*, Ping Yu, Taolue Chen, and Xiaoxing Ma, “基于鲁棒性预测的深度神经网络质量保障”, 计算机科学技术学报 , 35(5), 999–1015, 2020.
  • Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, and Jian Lu, “Operational Calibration: Debugging Confidence Errors for DNNs in the Field”, in Proceedings of The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020) , 2020.
  • Huiyan Wang, Jingwei Xu, Chang Xu, Xiaoxing Ma, and Jian Lu, “DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer Dissection”, in Proceedings of the 42nd ACM/IEEE International Conference on Software Engineering (ICSE) , 2020.
  • Yuehuan Wang, Zenan Li, Jingwei Xu, Ping Yu, and Xiaoxing Ma, “Fast Robustness Prediction for Deep Neural Network”, in Proceedings of the 11th Asia-Pacific Symposium on Internetware , 11:1--11:10, 2019.
  • Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, and Jian Lu, “Boosting Operational DNN Testing Efficiency through Conditioning”, in Proceedings of The 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019) , 2019.
  • 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.

Students

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

  • PhD: Zenan Li 李泽南 (2020), Guochang Wang 王国畅 (2019), Jiayi Wang 王加益 (2021).
  • Master: Zihan Zeng 曾子涵 (2020), Maorun Zhang 张茂润 (2020), Sen Wang 王森 (2020), Sen Wang 盛朱恒 (2020), Jian Xie 谢健 (2020), Zihan Cui 崔子寒 (2020), Junjun Zhu 朱俊俊 (2022), Yunpeng Huang 黄云鹏 (2022), Hanyue Du 杜瀚越 (2022).
  • Alumni

Teaching

  • 2022 (Autumn) iOS Deveploment for Intelligent Applications
  • 2022 (Spring) Introduction to Algorithm Design and Analysis Videos
  • 2021 (Autumn) iOS Deveploment for Intelligent Applications
  • 2021 (Spring) Introduction to Algorithm Design and Analysis
  • 2020 (Spring) Introduction to Algorithm Design and Analysis
  • 2019 (Spring) Introduction to Algorithm Design and Analysis
  • 2018 (Spring) Introduction to Algorithm Design and Analysis

Awards

  • KDD2017 Student Travel Awards

Services

  • PC Member for: WWW 2019-2022 ASONAM 2016-2021, CIKM 2017 (Short papers), AAAI 2018, 2022 PAKDD 2018, 2019, SIGIR 2021, KDD 2021-2022, Neurips 2022

Projects

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

Resources

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

© 2021 Institute of Computer Software, Nanjing University. All rights reserved.