InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
ICCV, 2025 (Accept)
Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai
[ICCV] [Arxiv] [Code]

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning
Arxiv, 2025
Xiangru Tang*, Wanghan Xu*, 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
[Arxiv] [Code] [量子位] [BiliBili]

Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents
Arxiv, 2025
Peilin Feng, Zhutao Lv, Junyan Ye, Xiaolei Wang, Xinjie Huo, Jinhua Yu, Wanghan Xu, Wenlong Zhang, Lei Bai, Conghui He, Weijia Li
[Arxiv] [Project Page] [Code] [Dataset] [机器之心]

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Arxiv, 2025
Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, 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]

EarthLink: A Self-Evolving AI Agent for Climate Science
Arxiv, 2025
Zijie Guo, Jiong Wang, Xiaoyu Yue, Wangxu Wei, Zhe Jiang,Wanghan Xu, 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]

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System
Arxiv, 2025
Wanghan Xu, Wenlong Zhang, Fenghua Ling, Ben Fei, Yusong Hu, Fangxuan Ren, Jintai Lin, Wanli Ouyang, Lei Bai
[Arxiv] [Project Page] [Code] [Dataset]

EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models
Arxiv, 2025
Wanghan Xu, Xiangyu Zhao, Yuhao Zhou, Xiaoyu Yue, Ben Fei, Fenghua Ling, Wenlong Zhang, Lei Bai
[Arxiv] [Code] [Dataset]

MSEarth: A Benchmark for Multimodal Scientific Comprehension of Earth Science
Arxiv, 2025
Xiangyu Zhao*, Wanghan Xu*, 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, Wanghan Xu, Li Yan, Pierre Gentine, Lei Bai
[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, Wanghan Xu, Weidong Yang, Xiaokang Yang, Lei Bai
[Arxiv]

Exploring Representation-Aligned Latent Space for Better Generation
Arxiv, 2025
Wanghan Xu, Xiaoyu Yue, Zidong Wang, Yao Teng, Wenlong Zhang, Xihui Liu, Luping Zhou, Wanli Ouyang, Lei Bai
[Arxiv] [Code]

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS, 2024 (Accept)
Wanghan Xu, 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
Wanghan Xu, 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, Wanghan Xu, 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, Wanghan Xu, 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, Wanghan Xu, Lei Bai
[Arxiv] [Code]

Is 3-(F)WL Enough to Distinguish All 3D Graphs?
Arxiv, 2024
Wanghan Xu
[Arxiv]

GraphPub: Generation of Differential Privacy Graph with High Availability
Arxiv, 2024
Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong
[Arxiv]

MDP: Privacy-Preserving GNN Based on Matrix Decomposition and Differential Privacy
JCC, 2023 (Accept)
Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong
[JCC]