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2020 – today
- 2023
[c7]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- [c6]Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA 2023: 193-202 - [i8]Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei:
Invisible Watermarking for Audio Generation Diffusion Models. CoRR abs/2309.13166 (2023) - [i7]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 abs/2310.10810 (2023) - 2022
- [j1]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): 481-506 (2022) - 2021
- [c5]Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao:
Learning to Defend by Learning to Attack. AISTATS 2021: 577-585 - 2020
- [i6]Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu:
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations. CoRR abs/2012.11798 (2020)
2010 – 2019
- 2019
- [c4]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: 916-925 - [c3]Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao:
Learning to Defense by Learning to Attack. DGS@ICLR 2019 - [c2]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 - 2018
- [i5]Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao:
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. CoRR abs/1802.05155 (2018) - [i4]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 abs/1806.05151 (2018) - [i3]Zhehui Chen, Haoming Jiang, Bo Dai, Tuo Zhao:
Learning to Defense by Learning to Attack. CoRR abs/1811.01213 (2018) - [i2]Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao:
On Computation and Generalization of GANs with Spectrum Control. CoRR abs/1812.10912 (2018) - 2017
- [c1]Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao:
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability. ICML 2017: 777-786 - [i1]Zhehui Chen, Forest L. Yang, Chris Junchi Li, Tuo Zhao:
Online Multiview Representation Learning: Dropping Convexity for Better Efficiency. CoRR abs/1702.08134 (2017)
Coauthor Index
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