Zhehui Chen

According to our database, Zhehui Chen authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

2024

Solving Sparse & High-Dimensional-Output Regression via Compression.

Renyuan Li, Zhehui Chen, Guanyi Wang

CoRR, 2024

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum.

Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei

CoRR, 2024

2023

Invisible Watermarking for Audio Generation Diffusion Models.

Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei

Proceedings of the 5th IEEE International Conference on Trust, 2023

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.

Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

APIK: Active Physics-Informed Kriging Model with Partial Differential Equations.

Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu

SIAM/ASA J. Uncertain. Quantification, 2022

2021

Learning to Defend by Learning to Attack.

Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

On Computation and Generalization of Generative Adversarial Networks under Spectrum Control.

Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Defense by Learning to Attack.

Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition.

Zhehui Chen, Xingguo Li, Lin Yang, Jarvis D. Haupt, Tuo Zhao

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On Computation and Generalization of GANs with Spectrum Control.

Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao

CoRR, 2018

Learning to Defense by Learning to Attack.

Zhehui Chen, Haoming Jiang, Bo Dai, 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

Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations.

Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao

CoRR, 2018

2017

Online Multiview Representation Learning: Dropping Convexity for Better Efficiency.

Zhehui Chen, Forest L. Yang, Chris Junchi Li, Tuo Zhao

CoRR, 2017

Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability.

Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao

Proceedings of the 34th International Conference on Machine Learning, 2017