I am currently a first-year Ph.D. student at Shenzhen Loop Area Institute (SLAI), supervised by Prof. Wanli Ouyang. Before that, I conducted my Master’s studies at USTC. My research interest mainly includes foundation models, scientific machine learning, and world models.

Please feel free to contact me for communication and collaboration.

Email: markxu@mail.ustc.edu.cn or fanxu@slai.edu.cn Wechat: Markxu_0111

🔥 News

2025.09.18: 1 paper was accepted to NeurIPS2025 (First Author).
2025.09.10: I have joined Shenzhen Loop Area Institute as a Phd student @ SLAI.
2025.05.01: 1 paper was accepted to ICML2025.
2025.01.22: 1 paper was accepted to ICLR2025 (Co-First Author).
2024.09.26: 1 paper was accepted to NeurIPS2024.
2024.07.16: 1 paper was accepted to ACM MM2024 (Co-First Author).
2024.05.27: 1 paper was accepted to ECML2024 (First Author).
2023.12.09: 1 paper was accepted to AAAI2024 (First Author).

📝 Publications

AI for Science

NeurIPS 2025 Breaking the Discretization Barrier of Continuous Physics Simulation Learning. Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao^*
ACM MM 2024 PastNet: introducing physical inductive biases for spatio-temporal video prediction.Hao Wu^†, Fan Xu^†, Chong Chen, Xian-Sheng Hua, Xiao Luo^*, Haixin Wang^*
ICLR 2025 Open-CK: The Non-linear Chaotic Combustion Kinetics Benchmark. Zaige Fei^†, Fan Xu^†, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu^*, Yang Wang^*
NeurIPS 2024 PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling. Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen, Xian-Sheng Hua, Xiao Luo^*
ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting. Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang^*
Arxiv Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE. Fan Xu, Wei Gong, Hao Wu, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao^*
Arxiv Learning to Augment from Physical Priors: A New Path to Out-of-Distribution Generalization in Dynamics. Fan Xu, Wei Gong, Hao Wu, Nan Wang, Qingsong Wen, Kun Wang, Xian Wu, Xibin Zha^*
Arxiv Advanced long-term earth system forecasting by learning the small-scale nature. Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Kun Wang^†, Ruijian Gou^†, Chuhan Wu^†, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang^*
Arxiv Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias. Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Zean Han, Fan Xu, Zhihong Zhu, Qingsong Wen, Xian Wu, Kun Wang^*, Xiaomeng Huang^*
Arxiv NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation. Yuan Gao^†, Ruiqi Shu^†, Hao Wu^†, Fan Xu, Yanfei Xiang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang^*

Graph Representation Learning and Anomaly Detection

AAAI 2024 Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum. Fan Xu, Nan Wang^*, Hao Wu, Xuezhi Wen, Xibin Zhao^*, Hai Wan
ECML PKDD 2024 GLADformer: A Mixed Perspective for Graph-level Anomaly Detection. Fan Xu, Nan Wang^*, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao^*
FCS 2024 Advanced Persistent Threat Detection via Mining Long-Term Features in Provenance Graphs. Fan Xu, Qinxin Zhao, Xiaoxiao Liu, Nan Wang^*, Meiqi Gao, Xuezhi Wen, Dalin Zhang
IEEE ICPADS 2023 Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection. Fan Xu, Nan Wang^*, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao^*
IEEE SMC 2023 Exploring Global and Local Information for Anomaly Detection with Normal Samples. Fan Xu, Nan Wang^*, Xibin Zhao^*

🎖 Honors and Awards

2022, 2024, 2025 First-class Academic Scholarship of the University of Science and Technology of China.
2022.11 China Collegiate Computing Competition - Intelligent Interaction Innovation Contest, National Finals Second Prize
2022.06 HarmonyOS Developer Competition - Global Campus AI Algorithm Elite Track, Star Excellence Award (7/1000+)

🐣 Invited Talks

2024.08, Review of Anomaly Detection Applications and Outlook for Extreme Event Forecasting. @ Tsinghua University

💻 Academic service

Conference Reviewer: ACM MM 2024 Conference Reviewers, KDD 2025 Conference Reviewers, ICLR 2025 Conference Reviewers, NeurIPS 2025 Conference Reviewers, AAAI 2026 Conference Program Committee, ICLR 2026 Conference Reviewers

📖 Selected Publications

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE

Fan Xu, Wei Gong, Hao Wu, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao^*

Learning to Augment from Physical Priors: A New Path to Out-of-Distribution Generalization in Dynamics

Fan Xu, Wei Gong, Hao Wu, Nan Wang, Qingsong Wen, Kun Wang, Xian Wu, Xibin Zha^*

NeurIPS 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning

Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao^*

NeurIPS, 2025

Advanced long-term earth system forecasting by learning the small-scale nature

Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Kun Wang^†, Ruijian Gou^†, Chuhan Wu^†, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang^*

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias.

Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Zean Han, Fan Xu, Zhihong Zhu, Qingsong Wen, Xian Wu, Kun Wang^*, Xiaomeng Huang^*

ICML 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

Yuan Gao^†, Hao Wu^†, Ruiqi Shu^†, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang^*

ICML, 2025

ACM MM 2024