Zeyu Zheng

I am a research scientist at Google DeepMind, Seattle. I obtained my Ph.D. from the University of Michigan under the supervision of Prof. Satinder Singh. My research interests lie in deep reinforcement learning.

I did my undergraduate at School of Electronics Engineering and Computer Science, Peking University.

Email  /  Google Scholar  /  GitHub

Publications
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team
Tech report, 2023
[arXiv]
Understanding Plasticity in Neural Networks
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney
International Conference on Machine Learning (ICML), 2023
[paper] [arXiv]
Adaptive Pairwise Weights for Temporal Credit Assignment
Zeyu Zheng*, Risto Vuorio*, Richard Lewis, Satinder Singh
AAAI Conference on Artificial Intelligence (AAAI), 2022
[arXiv]
Abridged version presented at NeurIPS Deep Reinforcement Learning Workshop, 2020
GrASP: Gradient-Based Affordance Selection for Planning
Vivek Veeriah, Zeyu Zheng, Richard Lewis, Satinder Singh
NeurIPS Deep Reinforcement Learning Workshop, 2021
Learning State Representations from Random Deep Action-conditional Predictions
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard Lewis, Satinder Singh
Neural Information Processing Systems (NeurIPS), 2021
[arXiv] [code]
Automated Multi-layer Optical Design via Deep Reinforcement Learning
Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo
Machine Learning: Science and Technology, 2020
[paper] [arXiv] [code]
What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng*, Junhyuk Oh*, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
International Conference on Machine Learning (ICML), 2020
[paper] [arXiv]
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng, Junhyuk Oh, Satinder Singh
Neural Information Processing Systems (NeurIPS), 2018
[paper] [arXiv] [code]
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
USENIX Annual Technical Conference (ATC), 2017
[paper] [arXiv] [release]
Parallelizing Sequential Graph Computations
Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian
ACM SIGMOD Conference on Management of Data (SIGMOD), 2017, Best Paper Award
[paper]
Awards and Honors
  • Rackham International Student Fellowship, 2018

This guy makes a nice webpage.