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Journal Articles
- 2024
[j1]Tangjun Wang
, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diffusion Mechanism in Residual Neural Network: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 667-680 (2024)
Conference and Workshop Papers
- 2024
- [c5]Zehao Dou, Yang Song:
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective. ICLR 2024 - [c4]Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang:
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling. ICML 2024 - 2023
- [c3]Sitan Chen, Zehao Dou, Surbhi Goel, Adam R. Klivans, Raghu Meka:
Learning Narrow One-Hidden-Layer ReLU Networks. COLT 2023: 5580-5614 - 2022
- [c2]Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du:
Gap-Dependent Bounds for Two-Player Markov Games. AISTATS 2022: 432-455 - 2018
- [c1]Zehao Dou, Wei Wei, Xiaojun Wan:
Improving Word Embeddings for Antonym Detection Using Thesauri and SentiWordNet. NLPCC (2) 2018: 67-79
Informal and Other Publications
- 2024
- [i13]Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang:
Provable Statistical Rates for Consistency Diffusion Models. CoRR abs/2406.16213 (2024) - [i12]Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen:
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data. CoRR abs/2407.16134 (2024) - [i11]Zehao Dou, Subhodh Kotekal, Zhehao Xu, Harrison H. Zhou:
From optimal score matching to optimal sampling. CoRR abs/2409.07032 (2024) - [i10]Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, Ruiqi Gao:
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC. CoRR abs/2409.08551 (2024) - 2023
- [i9]Sitan Chen, Zehao Dou, Surbhi Goel, Adam R. Klivans, Raghu Meka:
Learning Narrow One-Hidden-Layer ReLU Networks. CoRR abs/2304.10524 (2023) - 2022
- [i8]Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang:
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2202.04868 (2022) - 2021
- [i7]Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diff-ResNets for Few-shot Learning - an ODE Perspective. CoRR abs/2105.03155 (2021) - [i6]Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du:
Gap-Dependent Bounds for Two-Player Markov Games. CoRR abs/2107.00685 (2021) - [i5]Zehao Dou, Yuanzhi Li:
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization. CoRR abs/2109.14213 (2021) - 2020
- [i4]Yuanzhi Li, Zehao Dou:
When can Wasserstein GANs minimize Wasserstein Distance? CoRR abs/2003.04033 (2020) - 2019
- [i3]Zehao Dou, Xiang Yan, Dongge Wang, Xiaotie Deng:
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning. CoRR abs/1910.12075 (2019) - 2018
- [i2]Zehao Dou, Zhihua Zhang:
Hierarchical Attention: What Really Counts in Various NLP Tasks. CoRR abs/1808.03728 (2018) - [i1]Zehao Dou, Stanley J. Osher, Bao Wang:
Mathematical Analysis of Adversarial Attacks. CoRR abs/1811.06492 (2018)
Coauthor Index
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