Openings for PhD Students: I am looking for self-motivated students in the areas of Distributed Learning, Reinforcement Learning, AI for Security, and Trustworthy AI. If you are interested, please email me your CV, detailed transcripts, and GRE/TOEFL scores. Students with a solid background in algorithms and optimization are preferred.
|09/2020:||Our paper Robust Sequence Submodular Maximization is accepted to NeurIPS 2020. Congratulations to the team!|
|08/2020:||Dr. Zheng is offering a new graduate course on reinforcement learning.|
|08/2020:||Xiaolin Sun joined Dr. Zheng's group as a new PhD Student. Welcome on board, Xiaolin!|
|01/2020:||Our paper Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model is accepted to AAMAS 2020. Congratulations, Henger and Wen!|
|01/2020:||Our paper Structure Matters: Towards Generating Transferable Adversarial Images is accepted to ECAI 2020. Congratulations to the team!|
|08/2019:||Shiyuan Zhang and Tianyi Xu joined Dr. Zheng's research group. Welcome on board!|
|08/2018:||Dr. Zheng received a three-year grant from the NSF NeTS program (with Parth H. Pathak at GMU).|
|08/2018:||Dr. Zheng received a three-year grant from the NSF SaTC program (sole PI).|
|01/2018:||Henger Li joined Dr. Zheng's research group. Welcome on board, Henger!|
|04/2017:||Dr. Zheng received a two-year grant from the Louisiana Board of Regents (sole PI).|
|07/2016:||Dr. Zheng joined Tulane University.|
Zizhan Zheng received his PhD in Computer Science and Engineering from the Ohio State University (PhD advisor: Prof. Prasun Sinha) and his MS in Computer Science from Peking University, where he was a member of Peking University-Bell Labs Software Technology Joint Laboratory. Prior to joining Tulane, he was a postdoctoral researcher at OSU working with Prof. Ness B. Shroff and then an associate specialist at UC Davis. Dr. Zheng's Erdös number is 3.
- Reinforcement Learning
- Distributed AI (multi-agent learning, cooperative AI, game theory, etc.)
- Security and AI