Scholar
Zehao Dou
Google Scholar ID: CypbdCkAAAAJ
OpenAI
Citations & Impact
Citations
389
H-index
10
i10-index
12
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- 2025: 'Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation', OpenAI Blog.
- 2024: 'From Optimal Score Matching to Optimal Sampling' (with Subhodh Kotekal et al.), Arxiv Preprint (under review by Annals of Statistics).
- 2024: 'Think Twice Before You Act: Improving Inverse Problem Solving With MCMC' (with Yaxuan Zhu et al.), Arxiv Preprint.
- 2025: 'Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data' (with Hengyu Fu et al.), ICLR 2025.
- 2024: 'Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling' (with Minshuo Chen et al.), ICML 2024.
- 2024: 'Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective' (with Yang Song), ICLR 2024.
- 2023: 'Learning Narrow One-Hidden-Layer ReLU Networks' (with Sitan Chen et al.), COLT 2023.
- 2022: 'Rates of Estimation for High-dimensional Multi-reference Alignment' (with Zhou Fan and Harrison Zhou), Annals of Statistics.
- 2022: 'Gap Dependent Bounds for Two-Player Markov Games' (with Zhuoran Yang et al.), AISTATS 2022.
- 2021: 'Diff–ResNets for Few-shot Learning – an ODE Perspective' (with Tangjun Wang et al.), IEEE TPAMI.
- 2020: 'A Priori Estimates of the Generalization Error for Autoencoders' (with Weinan E and Chao Ma), ICASSP 2020.
- 2020: 'Approximating N-Player Nash Equilibrium through Gradient Descent' (with Dongge Wang et al.), IJTCS 2020.
- 2018: 'Improving Word Embeddings for Antonym Detection Using Thesauri and Sentiwordnet' (with Wei Wei and Xiaojun Wan), NLPCC 2018.
- Multiple additional arXiv preprints on adversarial attacks, non-convex min-max optimization, and deep multi-agent reinforcement learning.
