Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability. - Zhehui Chen; Lin F. Yang; Chris Junchi Li; Tuo Zhao (ICML, 2017)

Online Multiview Representation Learning: Dropping Convexity for Better Efficiency. - Zhehui Chen; Forest L. Yang; Chris Junchi Li; Tuo Zhao (CoRR, 2017)

Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. - Tianyi Liu; Zhehui Chen; Enlu Zhou; Tuo Zhao (CoRR, 2018)

On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. - Zhehui Chen; Xingguo Li; Lin F. Yang; Jarvis D. Haupt; Tuo Zhao (CoRR, 2018)

Learning to Defense by Learning to Attack. - Zhehui Chen; Haoming Jiang; Bo Dai 001; Tuo Zhao (CoRR, 2018)

On Computation and Generalization of GANs with Spectrum Control. - Haoming Jiang; Zhehui Chen; Minshuo Chen; Feng Liu; Dingding Wang 001; Tuo Zhao (CoRR, 2018)

On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. - Zhehui Chen; Xingguo Li; Lin Yang 011; Jarvis D. Haupt; Tuo Zhao (AISTATS, 2019)

Learning to Defense by Learning to Attack. - Zhehui Chen; Haoming Jiang; Yuyang Shi 001; Bo Dai 001; Tuo Zhao (DGS@ICLR, 2019)

On Computation and Generalization of Generative Adversarial Networks under Spectrum Control. - Haoming Jiang; Zhehui Chen; Minshuo Chen; Feng Liu; Dingding Wang 001; Tuo Zhao (ICLR (Poster), 2019)

Learning to Defend by Learning to Attack. - Haoming Jiang; Zhehui Chen; Yuyang Shi 001; Bo Dai 001; Tuo Zhao (AISTATS, 2021)

Modern Statistical Methods for Optimization and Change-point Detection. - Zhehui Chen (2021)

APIK: Active Physics-Informed Kriging Model with Partial Differential Equations. - Jialei Chen 002; Zhehui Chen; Chuck Zhang; C. F. Jeff Wu (SIAM/ASA J. Uncertain. Quantification, 2022)

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. - Alexander Bukharin; Yan Li; Yue Yu 001; Qingru Zhang; Zhehui Chen; Simiao Zuo; Chao Zhang 014; Songan Zhang; Tuo Zhao (NeurIPS, 2023)

Invisible Watermarking for Audio Generation Diffusion Models. - Xirong Cao; Xiang Li; Divyesh Jadav; Yanzhao Wu 001; Zhehui Chen; Chen Zeng; Wenqi Wei 001 (TPS-ISA, 2023)

Solving Sparse & High-Dimensional-Output Regression via Compression. - Renyuan Li; Zhehui Chen; Guanyi Wang (NeurIPS, 2024)

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. - Nashrah Haque; Xiang Li; Zhehui Chen; Yanzhao Wu 001; Lei Yu 002; Arun Iyengar; Wenqi Wei 001 (TPS-ISA, 2024)

LGAT: A novel model for multivariate time series anomaly detection with improved anomaly transformer and learning graph structures. - Mi Wen; Zhehui Chen; Yun Xiong; Yichuan Zhang (Neurocomputing, 2025)