Wanghan Xu

According to our database, Wanghan Xu authored at least 23 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dynamic Mixture of Latent Memories for Self-Evolving Agents.

Dianzhi Yu, Vireo Zhang, Hongru Wang, Yanyu Chen, Minda Hu, Wanghan Xu, Siki Chen, Philip Torr, Zhenfei Yin, Irwin King

CoRR, May, 2026

ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning.

Wanghan Xu, Yuhao Zhou, Hengyuan Zhao, Shuo Li, Dianzhi Yu, Zhenfei Yin, Yaowen Hu, Fengli Xu, Wanli Ouyang, Wenlong Zhang, Lei Bai

CoRR, May, 2026

Earth Science Foundation Models: From Perception to Reasoning and Discovery.

Xiangyu Zhao, Bo Liu, Yuehan Zhang, Zelin Song, Wanghan Xu, Feng Liu, Fengxiang Wang, Ben Fei, Fenghua Ling, Wangxu Wei, Wenlong Zhang, Xiao-Ming Wu

CoRR, May, 2026

2025

Omni-Weather: Unified Multimodal Foundation Model for Weather Generation and Understanding.

Zhiwang Zhou, Yuandong Pu, Xuming He, Yidi Liu, Yixin Chen, Junchao Gong, Xiang Zhuang, Wanghan Xu, Qinglong Cao, Shixiang Tang, Yihao Liu, Wenlong Zhang, Lei Bai

CoRR, December, 2025

Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents.

Peilin Feng, Zhutao Lv, Junyan Ye, Xiaolei Wang, Xinjie Huo, Jinhua Yu, Wanghan Xu, Wenlong Zhang, Lei Bai, Conghui He, Weijia Li

CoRR, September, 2025

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning.

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

CoRR, September, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

EarthLink: A Self-Evolving AI Agent for Climate Science.

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

CoRR, July, 2025

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences.

Jing-An Sun, Hang Fan, Junchao Gong, Ben Fei, Kun Chen, Fenghua Ling, Wenlong Zhang, Wanghan Xu, Li Yan, Pierre Gentine, Lei Bai

CoRR, May, 2025

MSEarth: A Benchmark for Multimodal Scientific Comprehension of Earth Science.

Xiangyu Zhao, Wanghan Xu, Bo Liu, Yuhao Zhou, Fenghua Ling, Ben Fei, Xiaoyu Yue, Lei Bai, Wenlong Zhang, Xiao-Ming Wu

CoRR, May, 2025

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System.

Wanghan Xu, Wenlong Zhang, Fenghua Ling, Ben Fei, Yusong Hu, Fangxuan Ren, Jintai Lin, Wanli Ouyang, Lei Bai

CoRR, May, 2025

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs.

Wanghan Xu, Xiangyu Zhao, Yuhao Zhou, Xiaoyu Yue, Ben Fei, Fenghua Ling, Wenlong Zhang, Lei Bai

CoRR, May, 2025

Exploring Representation-Aligned Latent Space for Better Generation.

Wanghan Xu, Xiaoyu Yue, Zidong Wang, Yao Teng, Wenlong Zhang, Xihui Liu, Luping Zhou, Wanli Ouyang, Lei Bai

CoRR, February, 2025

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space.

Junchao Gong, Jingyi Xu, Ben Fei, Fenghua Ling, Wenlong Zhang, Kun Chen, Wanghan Xu, Weidong Yang, Xiaokang Yang, Lei Bai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis.

Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark.

Tao Han, Song Guo, Zhenghao Chen, Wanghan Xu, Lei Bai

CoRR, 2024

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer.

Tao Han, Zhenghao Chen, Song Guo, Wanghan Xu, Lei Bai

CoRR, 2024

GraphPub: Generation of Differential Privacy Graph with High Availability.

Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong

CoRR, 2024

Is 3-(F)WL Enough to Distinguish All 3D Graphs?

Wanghan Xu

CoRR, 2024

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast.

Wanghan Xu, Kang Chen, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai

CoRR, 2024

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling.

Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling.

Junchao Gong, Lei Bai, Peng Ye, Wanghan Xu, Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MDP: Privacy-Preserving GNN Based on Matrix Decomposition and Differential Privacy.

Wanghan Xu, Bin Shi, Jiqiang Zhang, Zhiyuan Feng, Tianze Pan, Bo Dong

Proceedings of the IEEE International Conference on Joint Cloud Computing, 2023