Dr. Zhanxing Zhu (朱占星)

@ Peking University (北京大学)

Welcome to my homepage!

I am now Assistant Professor at School of Mathematical Sciences, and Center for Data Science (大数据科学研究中心), Peking University (北京大学). I am closely affiliated with Deep Learning Lab of Peking University (北京大学深度学习实验室). Previously, I obtained my PhD in machine learning from School of Informatics of University of Edinburgh, UK.

My research interests cover methodology/theory of machine learning and artificial intelligence and their applications in various areas.

  1. Methodology/theory: deep learning, reinforcement learning, scalable optimization and Bayesian inference methods
  2. Applications: prediction problems in traffic, data-driven medical imaging, generative models and reinforcement learning for computer graphics and network security

Contact: Room 219, Jingyuan 6th Courtyard, Peking University, Beijing, 100871, China (北京大学静园6号院219)

Email: zhanxing.zhu AT pku.edu.cn
I am always looking for highly self-motivated students/researchers with strong math and/or coding background (preliminary knowledge) to work with me. 

Group Members

  • Ph.D students: Bing Yu ( co-supervised with Prof. Weinan E), Yizheng Hu
  • MPhil students: Ju Xu, Ke Sun (co-supervised with Prof. Zhouchen Lin), Yuanjin Zhu, Hantao Guo, Junzhao Zhang, Jin Ma.
  • Undergraduate: Tianyuan Zhang, Dinghuai Zhang, Kunang Du

Academic Roles

  • Area Chair/Senior PC for AISTATS 2017, AAAI 2019


ACM CCS 2018 "Best Paper Finalist"

Alibaba DAMO Academy Young Fellow 2019 (阿里达摩院青橙奖) [Press 1][Press 2]

Publications/Preprints [Sorted by Research Topics]

* indicates equal contribution. (Check our Github page for reproducibility.)

  • Guixin Ye, Zhanyong Tang, Dingyi Fang, Zhanxing Zhu, Yansong Feng, Pengfei Xu, Xiaojiang Chen, Jungong Han and. Zheng Wang. Using Generative Adversarial Networks to Break and Protect Text Captchas. ACM Transactions on Privacy and Security, 2019. [TOPS]. (Accepted, to appear.)
  • Ke Sun, Zhouchen Lin and Zhanxing Zhu. Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. The 34th AAAI Conference on Artificial Intelligence. [AAAI 2020]
  • Quanming Yao*, Ju Xu*, Wei-wei Tu and Zhanxing Zhu. Efficient Neural Architecture Search via Proximal Iterations. The 34th AAAI Conference on Artificial Intelligence. [AAAI 2020]
  • Hantao Guo, Rui Yan, Yansong Feng and Zhanxing Zhu. Simplifying Graph Attention Networks with Source-Target Separation. The 24th European Conference on Artificial Intelligence [ECAI 2020]

" Only in silence the word, only in dark the light, only in dying life: bright the hawk's flight on the empty sky. "

— Ursula K. Le Guin (A Wizard of Earthsea)


Recently, I wrote a book in Chinese with several colleagues on the introduction to data science "数据科学导引". Welcome for all kinds of feedback!


  • Ruosi Wan (now research scientist @ Face++)
  • Haoteng Yin (now Ph.D student @ Purdue University)
  • Jingfeng Wu (now Ph.D student @ John Hopkins University)
  • Zizhuo Zhang
  • Mengzhang Li (Software Engineer@Canon Medical Systems (China))