Zhehui Chen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Mumford Shah Model

Theoretical Foundation

Stochastic Optimization

Diffusion Models

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
Invisible Watermarking for Audio Generation Diffusion Models. CoRR (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. CoRR (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. NeurIPS (2023)
Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA (2023)
Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao
Learning to Defend by Learning to Attack. AISTATS (2021)
Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations. CoRR (2020)
Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao
Learning to Defense by Learning to Attack. DGS@ICLR (2019)
Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control. ICLR (Poster) (2019)
Zhehui Chen, Xingguo Li, Lin Yang, Jarvis D. Haupt, Tuo Zhao
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. AISTATS (2019)
Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. CoRR (2018)
Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao
On Computation and Generalization of GANs with Spectrum Control. CoRR (2018)
Zhehui Chen, Haoming Jiang, Bo Dai, Tuo Zhao
Learning to Defense by Learning to Attack. CoRR (2018)
Zhehui Chen, Xingguo Li, Lin F. Yang, Jarvis D. Haupt, Tuo Zhao
On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. CoRR (2018)
Zhehui Chen, Forest L. Yang, Chris Junchi Li, Tuo Zhao
Online Multiview Representation Learning: Dropping Convexity for Better Efficiency. CoRR (2017)
Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability. ICML (2017)