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Author

Haotian Ye

Observed name: Ye, Haotian
Institution: Stanford University
ORCID: 0009-0005-8486-0626
Observed ORCID: 0009-0005-8486-0626
OpenAlex ID: A5077279992
DeePMD-kit v2: A software package for deep potential models
2023 · Jinzhe Zeng, Duo Zhang, et al. · The Journal of Chemical Physics · 620
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Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
2024 · Liang, Weixin, Izzo, Zachary, et al. · arXiv (Cornell University) · 73
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Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
2023 · Guhao Feng, Bohang Zhang, et al. · neural information processing systems · 69
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Discovering Latent Knowledge in Language Models Without Supervision
2022 · Burns, Collin, Ye, Haotian, et al. · arXiv (Cornell University) · 55
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Towards a Theoretical Framework of Out-of-Distribution Generalization
2021 · Ye, Haotian, Xie, Chuanlong, et al. · arXiv (Cornell University) · 46
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A computational framework for neural network-based variational Monte Carlo with Forward Laplacian
2024 · Ruichen Li, Haotian Ye, et al. · Nature Machine Intelligence · 40
Squidiff: predicting cellular development and responses to perturbations using a diffusion model
2025 · Siyu He, Yuefei Zhu, et al. · Nature Methods · 39
TFG: Unified Training-Free Guidance for Diffusion Models
2024 · Haotian Ye, Haowei Lin, et al. · neural information processing systems · 11
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Risk Variance Penalization
2020 · Xie, Chuanlong, Ye, Haotian, et al. · arXiv (Cornell University) · 5
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In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
2023 · Liu, Sheng, Ye, Haotian, et al. · arXiv (Cornell University) · 4
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Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
2022 · Ye, Haotian, Zou, James, et al. · arXiv (Cornell University) · 3
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A foundation generative model for breast ultrasound image analysis
2026 · Haojun Yu, Youcheng Li, et al. · Nature Biomedical Engineering · 2
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Geometric Trajectory Diffusion Models
2024 · Jiaqi Han, Minkai Xu, et al. · neural information processing systems · 2
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On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
2022 · Ye, Haotian, Chen, Xiaoyu, et al. · arXiv (Cornell University) · 2
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Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs
2026 · Rahul Thapa, Qingyang Wu, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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World Simulation with Video Foundation Models for Physical AI
2025 · NVIDIA, :, et al. · arXiv (Cornell University) · 1
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Disentangling Reasoning and Knowledge in Medical Large Language Models
2025 · Thapa, Rahul, Wu, Qingyang, et al. · arXiv (Cornell University) · 1
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A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
2025 · Yuzheng Hu, Fan Wu, et al. · neural information processing systems · 1
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Reducing Hallucinations in Vision-Language Models via Latent Space Steering
2024 · Liu, Sheng, Ye, Haotian, et al. · arXiv (Cornell University) · 1
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$\widetilde{O}(N^2)$ Representation of General Continuous Anti-symmetric Function
2024 · Ye, Haotian, Li, Ruichen, et al. · arXiv (Cornell University) · 1
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DOF: Accelerating High-order Differential Operators with Forward Propagation
2024 · Li, Ruichen, Wang, Chuwei, et al. · arXiv (Cornell University) · 1
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Scaling Online Exploration for Robot Agents
2026 · Huang, Runhan, Zhang, Xiangcheng, et al. · arXiv (Cornell University)
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One-Sided Verification Under Limited Expert Review
2026 · Nie, Fan, Ye, Haotian, et al. · arXiv (Cornell University)
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Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents
2026 · El, Batu, Paeng, Jinhee, et al. · arXiv (Cornell University)
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Structured Scaling of AI Discovery Across Diverse Scientific Domains
2026 · Ye, Haotian, Lin, Haowei, et al. · arXiv (Cornell University)
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Works count: 48
Citation count: 988
H-index: 8
I10-index: 8
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