Zehao Dou

27 papers A* 4A 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reinforcement Learning-Based Distributed Secondary Frequency Control and Active Power Sharing in Islanded Microgrids With Bandwidth-Conscious Memory-Event-Triggered Mechanism.
IEEE Trans Autom. Sci. Eng.
Shen Yan, Zehao Dou, Zhou Gu
2025 J jnl
Approximating N-Player Nash Equilibrium through Gradient Descent.
CoRR
Dongge Wang, Xiang Yan, Zehao Dou, Wenhan Huang, Yaodong Yang, Xiaotie Deng
2025 A* conf
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data.
ICLR
Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen
2025 J jnl
Dynamic Integral-Event-Triggered Control of Photovoltaic Microgrids with Multimodal Deception Attacks.
Symmetry
Zehao Dou, Liming Ding, Shen Yan
2025 J jnl
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling.
CoRR
Sifan Wang, Zehao Dou, Tong-Rui Liu, Lu Lu
2025 J jnl
Is Your Conditional Diffusion Model Actually Denoising?
CoRR
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie
2025 J jnl
Monitoring Monitorability.
CoRR
Melody Y. Guan, Miles Wang, Micah Carroll, Zehao Dou, Annie Y. Wei, Marcus Williams, Benjamin Arnav, Joost Huizinga, Ian Kivlichan, Mia Glaese, Jakub Pachocki, Bowen Baker
2025 J jnl
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation.
CoRR
Bowen Baker, Joost Huizinga, Leo Gao, Zehao Dou, Melody Y. Guan, Aleksander Madry, Wojciech Zaremba, Jakub Pachocki, David Farhi
2024 J jnl
Diffusion Mechanism in Residual Neural Network: Theory and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
2024 A* conf
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective.
ICLR
Zehao Dou, Yang Song
2024 J jnl
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data.
CoRR
Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen
2024 J jnl
From optimal score matching to optimal sampling.
CoRR
Zehao Dou, Subhodh Kotekal, Zhehao Xu, Harrison H. Zhou
2024 J jnl
Provable Statistical Rates for Consistency Diffusion Models.
CoRR
Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
2024 A* conf
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling.
ICML
Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
2024 J jnl
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC.
CoRR
Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, Ruiqi Gao
2023 A* conf
Learning Narrow One-Hidden-Layer ReLU Networks.
COLT
Sitan Chen, Zehao Dou, Surbhi Goel, Adam R. Klivans, Raghu Meka
2023 J jnl
Learning Narrow One-Hidden-Layer ReLU Networks.
CoRR
Sitan Chen, Zehao Dou, Surbhi Goel, Adam R. Klivans, Raghu Meka
2022 A conf
Gap-Dependent Bounds for Two-Player Markov Games.
AISTATS
Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
2022 J jnl
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning.
CoRR
Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang
2021 J jnl
Diff-ResNets for Few-shot Learning - an ODE Perspective.
CoRR
Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
2021 J jnl
Gap-Dependent Bounds for Two-Player Markov Games.
CoRR
Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
2021 J jnl
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization.
CoRR
Zehao Dou, Yuanzhi Li
2020 J jnl
When can Wasserstein GANs minimize Wasserstein Distance?
CoRR
Yuanzhi Li, Zehao Dou
2019 J jnl
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning.
CoRR
Zehao Dou, Xiang Yan, Dongge Wang, Xiaotie Deng
2018 J jnl
Hierarchical Attention: What Really Counts in Various NLP Tasks.
CoRR
Zehao Dou, Zhihua Zhang
2018 — conf
Improving Word Embeddings for Antonym Detection Using Thesauri and SentiWordNet.
NLPCC (2)
Zehao Dou, Wei Wei, Xiaojun Wan
2018 J jnl
Mathematical Analysis of Adversarial Attacks.
CoRR
Zehao Dou, Stanley J. Osher, Bao Wang