Improving Word Embeddings for Antonym Detection Using Thesauri and SentiWordNet. - Zehao Dou; Wei Wei; Xiaojun Wan 001 (NLPCC (2), 2018)

Hierarchical Attention: What Really Counts in Various NLP Tasks. - Zehao Dou; Zhihua Zhang (CoRR, 2018)

Mathematical Analysis of Adversarial Attacks. - Zehao Dou; Stanley J. Osher; Bao Wang 001 (CoRR, 2018)

Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning. - Zehao Dou; Xiang Yan; Dongge Wang 001; Xiaotie Deng (CoRR, 2019)

When can Wasserstein GANs minimize Wasserstein Distance? - Yuanzhi Li; Zehao Dou (CoRR, 2020)

Diff-ResNets for Few-shot Learning - an ODE Perspective. - Tangjun Wang; Zehao Dou; Chenglong Bao; Zuoqiang Shi (CoRR, 2021)

On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization. - Zehao Dou; Yuanzhi Li (CoRR, 2021)

Gap-Dependent Bounds for Two-Player Markov Games. - Zehao Dou; Zhuoran Yang; Zhaoran Wang 001; Simon S. Du (AISTATS, 2022)

Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning. - Zehao Dou; Jakub Grudzien Kuba; Yaodong Yang 001 (CoRR, 2022)

Learning Narrow One-Hidden-Layer ReLU Networks. - Sitan Chen; Zehao Dou; Surbhi Goel; Adam R. Klivans; Raghu Meka (COLT, 2023)

Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective. - Zehao Dou; Yang Song (ICLR, 2024)

Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling. - Zehao Dou; Minshuo Chen; Mengdi Wang; Zhuoran Yang (ICML, 2024)

Provable Statistical Rates for Consistency Diffusion Models. - Zehao Dou; Minshuo Chen; Mengdi Wang; Zhuoran Yang (CoRR, 2024)

From optimal score matching to optimal sampling. - Zehao Dou; Subhodh Kotekal; Zhehao Xu; Harrison H. Zhou (CoRR, 2024)

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC. - Yaxuan Zhu; Zehao Dou; Haoxin Zheng; Yasi Zhang; Ying Nian Wu; Ruiqi Gao (CoRR, 2024)

Diffusion Mechanism in Residual Neural Network: Theory and Applications. - Tangjun Wang; Zehao Dou; Chenglong Bao; Zuoqiang Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data. - Hengyu Fu; Zehao Dou; Jiawei Guo; Mengdi Wang; Minshuo Chen (ICLR, 2025)

Approximating N-Player Nash Equilibrium through Gradient Descent. - Dongge Wang 001; Xiang Yan; Zehao Dou; Wenhan Huang; Yaodong Yang 001; Xiaotie Deng (CoRR, 2025)

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation. - Bowen Baker; Joost Huizinga; Leo Gao; Zehao Dou; Melody Y. Guan; Aleksander Madry; Wojciech Zaremba; Jakub Pachocki; David Farhi (CoRR, 2025)

FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling. - Sifan Wang; Zehao Dou; Tong-Rui Liu; Lu Lu (CoRR, 2025)