做爱直播

Our Team

location: Home > Our Team > Research Team > Professor > Content

Hao Zhou  Associate Professor

Hao Zhou is a Research Associate Professor at the Institute for AI Industry Research (AIR), Tsinghua University. He focuses on Large Language Models (LLMs) and its applications to scientific discovery, with special interests in biological agents. Previously, he was a Research Scientist/Manager at ByteDance, where he led the ByteDance AI Lab research teams on text generation and AI drug design.  He has long served as an Area Chair for top-tier artificial intelligence conferences such as ICML, NeurIPS, ICLR and ACL, and has published more than 100 papers in leading  AI conferences. He is the recipient of many honors, including the Excellent Doctoral Dissertation Award from the Chinese Association for Artificial Intelligence, the CCF-NLPCC Young Scientist Award, the Best Paper Award at ACL 2021 (as corresponding author), and the Beijing Nova Program.


Homepage

//zhouh.github.io/


Email address:

[email protected]


Education

2012 - 2017 Nanjing University PhD

2008 - 2012 Nanjing Normal University Bachelor


Career

2022 till now Institute of AI Industrial Research, Tsinghua University. Research Associate Professor

2017 - 2022 ByteDance AI Lab. Research Scientist/Manager


Project Highlights

Seed Diffusion Preview

//seed.bytedance.com/zh/seed_diffusion
A large-scale language model based on discrete-state diffusion, achieves an inference speed of 2,146 token/s, outperforming its Google Gemini Diffusion and Mercury Counterparts.

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model

//www.gensi-thuair.com/AMix-1/
We propose a systematic paradigm, including scaling laws, structural emergent ability, in-context learning, and test-time scaling, for crafting protein foundation models, emphasizing a road map towards scalable protein design. We design a high-activity AmeR variant with a 50× improvement over the wild type.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL based Memory Agent

//memagent-sialab.github.io/
MemAgent has demonstrated superb long-context capabilities, being able to extrapolate from an 8K context trained on 32K text to a 3.5M QA task with performance loss < 5% and achieves 95%+ accuracy in 512K RULER test.

DAPO: an Open-Source LLM Reinforcement Learning System at Scale

//dapo-sia.github.io/
We propose the Decoupled Clip and Dynamic sAmpling Policy Optimization (DAPO) algorithm. By making our work publicly available, we provide the broader research community and society with practical access to scalable reinforcement learning, enabling all to benefit from these advancements. Our system is based on the awesome verl framework. Thanks for their great work! Applying DAPO training to Qwen2.5-32B base model proves to outperform the previous state-of-the-art DeepSeek-R1-Zero-Qwen-32B on AIME 2024, achieving 50% accuracy with 50% less training steps.


Recent Publications

1. Rationalized All-Atom Protein Design with Unified Multi-modal Bayesian Flow
Hanlin Wu, Yuxuan Song, Zhe Zhang, Zhilong Zhang, Hao Zhou*, Wei-Ying Ma, and Jingjing Liu
In NeurIPS, 2025.
2. Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
Zhilong Zhang, Yuxuan Song, Yichun Wang, Jingjing Gong, Hanlin Wu, Dongzhan Zhou, Hao Zhou*, and Wei-Ying Ma
In NeurIPS, 2025.
3. DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou*, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, and Mingxuan Wang*
In NeurIPS, 2025.
4. ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou*, Jingjing Liu, and Wei-Ying Ma
In NeurIPS, 2025.
5. MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou*, Wei-Ying Ma, Jingjing Liu, and Yang Liu*
In NeurIPS, 2025.
6. Retro-R1: LLM-based Agentic Retrosynthesis
Wei Liu, Jiangtao Feng, Hongli Yu, Yuxuan Song, Yuqiang Li, Shufei Zhang, LEI BAI, Wei-Ying Ma, and Hao Zhou*
In NeurIPS, 2025.
7. Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Qiying Yu, Xuefeng Li, Jiaze Chen, Hao Zhou, and Mingxuan Wang
In NeurIPS, 2025.
8. RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou*, and Wei-Ying Ma
In AISTATS, 2025.
9. Smooth Interpolation for Improved Discrete Graph Generative Models
Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou*, and Wei-Ying Ma
In ICML, 2025.
10. Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou*, and Wei-Ying Ma
In ICML, 2025.
11. Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou*, and Wei-Ying Ma
In ICML, 2025.
12. SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
Suyuan Zhao, YIZHEN LUo, Ganbo Yang, Yan Zhong, Hao Zhou*, and Zaiqing Nie
In ICML, 2025.
13. Steering Protein Family Design through Profile Bayesian Flow
Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou*, and Wei-Ying Ma
In ICLR, 2025.
14. A Periodic Bayesian Flow for Material Generation
Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou*, Wei-Ying Ma, and Jingjing Liu
In ICLR, 2025.


Major Honors and Awards

  • CCF NLPCC Distinguished Young Scientist, 2021

  • Best Paper Award of ACL, 2021

  • CAAI Doctoral Dissertation Award, 2019

  • Outstanding Doctoral Dissertation of Nanjing University, 2019

  • National Scholarship, 2011/2016

上一条：Peng Li 下一条：Jianzhu MA

【关闭】

Email：[email protected]
Tel：(010)82151160  

Address：12 / F, block C, Qidi science and technology building, Tsinghua Science and Technology Park, Haidian District, Beijing

wechat

Jing ICP Bei No. 15006448 | all rights reserved@ Institute of intelligent industry, Tsinghua University