张震宇 Zhen-Yu Zhang Ph.D. Candidate, LAMDA Group Department of Computer Science & Technology National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China. Email: zhangzy [at] lamda.nju.edu.cn       (alternative: zhangzhenyu.gm [at] gmail.com)

[Update]: I have successfully defended my PhD dissertation and here is my new homepage.

About Me

• Currently I am a Ph.D. Candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group, under the supervision of Prof. Yuan Jiang and Prof. Zhi-Hua Zhou.

• I was admitted to study in Yingcai Honors College in September 2013 and received my B.Eng. degree in Communication Engineering in June 2017 from University of Electronic Science and Technology of China.

Main Research Interests

My research interests include topics in machine learning and data mining.
Most recently, I am interested in:

• Weakly Supervised Learning
• Machine Learning in Non-stationary Environments

Publications

• Adaptive Learning for Weakly Labeled Streams. [paper] [code] [bibtex]

  Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou.

  In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), Washington, DC, 2022.

  
  

• Learning from Incomplete and Inaccurate Supervision. [paper] [code] [bibtex]

  Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou.

  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  
  

• Learning with Feature and Distribution Evolvable Streams. [paper] [supp] [code] [bibtex]

  Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou.

  In: Proceedings of the 37th International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020.
  
  

• Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. [paper] [code] [bibtex]

  Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou.

  In: Proceedings of the 37th International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020.

  
  

• Learning from Incomplete and Inaccurate Supervision. [paper] [code] [bibtex]

  Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou.

  In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AL, 2019.

  
  

• Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. [paper] [bibtex]

  Defu Lian, Zhen-Yu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie.

  In: Proceedings of the 16th IEEE International Conference on Data Mining (ICDM'16), Barcelona, Spain, 2016.

Academic Service

• Reviewer for Conferences: AAAI (2020, 2021, 2022); IJCAI (2020, 2021, 2022); KDD (2022); ICML (2021, 2022); NeurIPS (2020, 2021, 2022); ICLR (2021, 2022).

Awards

• Jiangsu Bank Scholarship, 2021

• National Scholarship for Doctoral Students, MOE of PRC, 2020

• Artificial Intelligence Scholarship, 2019

• Excellent Bachelor's Thesis, in UESTC, 2017

Teaching Assistant

• Discrete Mathematics. (With Prof. Nan Wu; For Undergraduate Students, 2018~2019)

• Data Structure. (With Prof. Yuan Jiang; For Undergraduate Students, Autumn, 2017)

Correspondence

Email: zhangzy [at] lamda.nju.edu.cn or zhangzhenyu.gm [at] gmail.com
Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University
Address: Nanjing University Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210046, China.