About Me
I am a PhD student in Electronic Information at Shanghai Jiao Tong University, starting from 2024, supervised by Prof. Wanli Ouyang, with guidance from Dr. Lei Bai and Dr. Wenlong Zhang. Before that, I earned my bachelor’s degree in Computer Science and Technology (rank 1/196) from Xi’an Jiaotong University.
I am currently a Visiting Scholar at Stanford University (remote), advised by Prof. Le Cong. My research focuses on Embodied AI, Automated Science Discovery from Virtual World to Physical World.
Beyond this visiting research direction, my broader research interests lie in Large Language Models, Multi-Agent Systems, AI Scientists, and Generative AI. My current focus is on enhancing the reasoning capabilities of AI models in complex problem-solving scenarios, including multidisciplinary knowledge reasoning, deep research (try my Deep Research🔎) and automated scientific discovery (auto research). You can download my [CV] here.
If you are interested in multi-agent systems on deep research, auto research or scientific discovery, feel free to contact me at xu_wanghan@sjtu.edu.cn.
By the way, you can ask me anything through this Bot🤖. And if you ever want my WeChat ID📱… well, maybe this Bot🤖 can tell you — if you’re smart enough to figure it out. 😉 Just kidding! Good luck!
My Apps
🤜 Here are some fun Apps I developed that might be helpful to you! 🤛
News
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2026.05: I joined Prof. Le Cong’s team at Stanford University as a Visiting Scholar (remote), starting research on applying Embodied AI to scientific discovery.
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2026.03: ResearchClawBench is released — an end-to-end benchmark with 40 tasks across 10 domains, evaluating whether AI coding agents can independently conduct research, from Re-Discovery to New-Discovery.
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2026.01: Four papers were accepted at ICLR 2026, including two first-author papers: Eigen-Agent and EarthSE 🎉.
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2026.01: Introducing Iris, a desktop GUI Agent that is simple to start but powerful enough to execute any workflow you need.
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2025.12: Our large-scale benchmark SGI-Bench is released 👏 —— a comprehensive report of over 150 pages co-authored by more than 100 researchers, providing the most extensive evaluation to date of LLMs and Agents on deep research, idea generation, code generation, multimodal reasoning, and more. SGI-Bench offers a unified and rigorous framework for measuring AI systems’ automated research capabilities, marking a major milestone toward building truly automated research agents.
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2025.10: Our new paper on multi-agent reasoning, Eigen-Agent: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning reached 36w views on BiliBili!
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2025.10: Our new paper on multi-agent reasoning, Eigen-Agent: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning achieves 60%+ score on Humanity’s Last Exam (HLE) benchmark, establishing a new SOTA on HLE.
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2025.09: Two papers were accepted at NeurIPS 2025.
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2025.08: During my first year of PhD, my personal Google Scholar citations exceeded 100 🎉.
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2025.06: InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis was accepted at ICCV 2025.
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2025.06: Our website PrismaX, an evaluation-driven platform for AI scientific discovery, is launched 🎉.
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2024.09: Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling (first author) was accepted at NeurIPS 2024.
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2024.05: CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling was accepted at ICML 2024.
Publications
ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning
arXiv, 2026
, Yuhao Zhou, Hengyuan Zhao, Shuo Li, Dianzhi Yu, Zhenfei Yin, Yaowen Hu, Fengli Xu, Wanli Ouyang, Wenlong Zhang, Lei Bai
[arXiv] [Project Page] [Code]
Sci-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification
KDD, 2026 (Accept)
Xiangyu Zhao, Hengyuan Zhao, Yiheng Wang, , Yuhao Zhou, Qinglong Cao, Zhiwang Zhou, Lei Bai, Wenlong Zhang, Xiao-Ming Wu
[Camera-ready coming soon]
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
arXiv, 2026
Yicheng Zou … (174 authors)
[arXiv] [Model] [Code] [Online Chat]
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
arXiv, 2026
Shiyang Feng … (57 authors)
[arXiv] [Hugging Face] [Code] [Website]
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
arXiv, 2025
, Yuhao Zhou, Yifan Zhou, Qinglong Cao, Shuo Li, Jia Bu … (107 authors)
[arXiv] [Project Page] [Code] [Dataset] [Talk] [量子位]
InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
ICCV, 2025 (Accept)
Tao Han, , Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai
[ICCV] [arXiv] [Code]
Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG
ICLR, 2026 (Accept)
Xiangru Tang*, , Yujie Wang*, Zijie Guo*, Daniel Shao, Jiapeng Chen, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Wenlong Zhang, Lei Bai, Zhenfei Yin, Philip Torr, Hanrui Wang, Di Jin
[ICLR] [arXiv] [Code] [量子位] [BiliBili]
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
arXiv, 2025
Ming Hu, Chenglong Ma, Wei Li, , Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu … (103 authors)
[arXiv] [Data]
Intern-S1: A Scientific Multimodal Foundation Model
arXiv, 2025
Lei Bai … (177 authors listed in alphabetical order by their last names)
[arXiv] [Model] [Code] [Online Chat] [机器之心]
Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System
arXiv, 2025
, Wenlong Zhang, Fenghua Ling, Ben Fei, Yusong Hu, Runmin Ma, Bo Zhang, Fangxuan Ren, Jintai Lin, Wanli Ouyang, Lei Bai
[arXiv] [Project Page] [Code] [Dataset]
Exploring Representation-Aligned Latent Space for Better Generation
arXiv, 2025
, Xiaoyu Yue, Zidong Wang, Yao Teng, Wenlong Zhang, Xihui Liu, Luping Zhou, Wanli Ouyang, Lei Bai
[arXiv] [Code]
SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence
Preprint, 2025
Yiheng Wang … (38 authors)
[PDF] [Project Page] [Code] [Leaderboard]
EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models
ICLR, 2026 (Accept)
, Xiangyu Zhao, Yuhao Zhou, Xiaoyu Yue, Ben Fei, Fenghua Ling, Wenlong Zhang, Lei Bai
[ICLR] [arXiv] [Code] [Dataset]
Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents
ICLR, 2026 (Accept)
Peilin Feng, Zhutao Lv, Junyan Ye, Xiaolei Wang, Xinjie Huo, Jinhua Yu, , Wenlong Zhang, Lei Bai, Conghui He, Weijia Li
[ICLR] [arXiv] [Project Page] [Code] [Dataset] [机器之心]
Omni-Weather: Unified Multimodal Foundation Model for Weather Generation and Understanding
ICLR, 2026 (Accept)
Zhiwang Zhou, Yuandong Pu, Xuming He, Yidi Liu, Yixin Chen, Junchao Gong, Xiang Zhuang, , Qinglong Cao, Shixiang Tang, Yihao Liu, Wenlong Zhang, Lei Bai
[ICLR] [arXiv] [Code]
EarthLink: A Self-Evolving AI Agent for Climate Science
arXiv, 2025
Zijie Guo, Jiong Wang, Xiaoyu Yue, Wangxu Wei, Zhe Jiang,, Ben Fei, Wenlong Zhang, Xinyu Gu, Lijing Cheng, Jing-Jia Luo, Chao Li, Yaqiang Wang, Tao Chen, Wanli Ouyang, Fenghua Ling, Lei Bai
[arXiv] [Platform]
MSEarth: A Benchmark for Multimodal Scientific Comprehension of Earth Science
ACL Main Conference, 2026 (Accept)
Xiangyu Zhao*, , Bo Liu, Yuhao Zhou, Fenghua Ling, Ben Fei, Xiaoyu Yue, Lei Bai, Wenlong Zhang, Xiao-Ming Wu
[arXiv] [Code] [Dataset]
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
NeurIPS, 2025 (Accept)
Jing-An Sun, Hang Fan, Junchao Gong, Ben Fei, Kun Chen, Fenghua Ling, Wenlong Zhang, , Li Yan, Pierre Gentine, Lei Bai
[NeurIPS] [arXiv]
DAWP: A Framework for Global Observation Forecasting via Data Assimilation and Weather Prediction in Satellite Observation Space
NeurIPS, 2025 (Accept)
Junchao Gong, Jingyi Xu, Ben Fei, Fenghua Ling, Wenlong Zhang, Kun Chen, , Weidong Yang, Xiaokang Yang, Lei Bai
[NeurIPS] [arXiv] [Code]
LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation
arXiv, 2025
Jing-An Sun, Hang Fan, Ben Fei, Junchao Gong, Kun Chen, Fenghua Ling, Wenlong Zhang, , Li Yan, Pierre Gentine, Lei Bai
[arXiv]
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS, 2024 (Accept)
, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
[NeurIPS] [arXiv] [Code]
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
arXiv, 2024
, Kang Chen, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
[arXiv] [Code]
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
ICML, 2024 (Accept)
Junchao Gong, Lei Bai, Peng Ye, , Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang
[ICML] [arXiv] [Code]
WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark
arXiv, 2024
Tao Han, Song Guo, Zhenghao Chen, , Lei Bai
[arXiv] [Code]
CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer
arXiv, 2024
Tao Han, Zhenghao Chen, Song Guo, , Lei Bai
[arXiv] [Code]
Is 3-(F)WL Enough to Distinguish All 3D Graphs?
arXiv, 2024
[arXiv]
GraphPub: Generation of Differential Privacy Graph with High Availability
arXiv, 2024
, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong
[arXiv]
MDP: Privacy-Preserving GNN Based on Matrix Decomposition and Differential Privacy
JCC, 2023 (Accept)
, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong
[JCC]
Honors and Awards
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2023 Top Ten Outstanding Student Models of Xi’an Jiaotong University (西安交通大学十大优秀学生标兵)(本科生最高荣誉)
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2023 American Mathematical Contest in Modeling (MCM/ICM) Finalist (美国大学生数学建模竞赛决赛入围)
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2023 China Scientist Scholarship (20,000 ¥) (中国科学家奖学金)
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2022 National Scholarship, Ministry of Education of China (国家奖学金)
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2022 RoboCup Robot World Cup China First Prize (RoboCup 机器人世界杯中国赛一等奖)
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2021 National Mathematical Contest in Modeling Shaanxi First Prize (全国大学生数学建模竞赛陕西一等奖)
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2021 National College Mathematics Competition Shaanxi Province First Prize (全国大学生数学竞赛陕西一等奖)
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2021 Xi’an Jiaotong University First Prize Scholarship (西安交通大学一等奖学金)
Invited Talks
Large Language Model Evaluation Technology
OpenMMLab & 知乎 & ModelScope, 2025
, Fengjiao Chen, Zhongpeng Ji, Tianshi Zheng
[BiliBili] [OpenMMLab] [Slides]
AI Scientific Discovery
HuggingFace & 知乎 & ModelScope, 2025
, Qiushi Sun, Yixin Ou, Yuhao Zhou
[BiliBili]
Services
Program Committee
- AAAI
Reviewer
- AAAI, ICLR, NeurIPS, ICML
Others
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Recommendation letter from Prof. Wanli Ouyang, Professor at the Chinese University of Hong Kong, Leading Scientist (领军科学家) at the Shanghai Artificial Intelligence Laboratory.
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Recommendation letter from Prof. Qinghua Zheng, Academician of the Chinese Academy of Engineering (中国工程院院士), President of Tongji University.
