Fan Xu

According to our database, Fan Xu authored at least 33 papers between 2023 and 2026.

Collaborative distances:

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

2026

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting.

Hao Wu, Fan Xu, Yuxu Lu, Penghao Zhao, Fan Zhang, Hao Jia, Yuxuan Liang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang, Yuan Gao

CoRR, May, 2026

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting.

Fan Xu, Yuan Gao, Kun Wang, Rui Su, Fenghua Ling, Hao Wu, Wanli Ouyang

CoRR, May, 2026

RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models.

Hao Wu, Yuqi Li, Yuan Gao, Fan Xu, Fan Zhang, Kun Wang, Penghao Zhao, Qiufeng Wang, Yizhou Zhao, Weiyan Wang, Yingli Tian, Xian Wu, Xiaomeng Huang

CoRR, May, 2026

OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning.

Hao Wu, Yongheng Zhang, Yuan Gao, Fan Xu, Fan Zhang, Ruobing Xie, Ruijian Gou, Yuxuan Liang, Xiaomeng Huang, Xian Wu

CoRR, March, 2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.

Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation.

Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics.

Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Guangliang Liu, Yuxuan Liang, Xiaomeng Huang

CoRR, December, 2025

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

Frontiers Comput. Sci., October, 2025

Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation.

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

CoRR, October, 2025

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models.

Hao Wu, Yuan Gao, Xingjian Shi, Shuaipeng Li, Fan Xu, Fan Zhang, Zhihong Zhu, Weiyan Wang, Xiao Luo, Kun Wang, Xian Wu, Xiaomeng Huang

CoRR, October, 2025

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting.

Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Qingsong Wen, Kun Wang, Xiaomeng Huang, Xian Wu

CoRR, September, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

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

CoRR, September, 2025

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

CoRR, May, 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

CoRR, May, 2025

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

CoRR, May, 2025

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting.

Weiyan Wang, Xingjian Shi, Ruiqi Shu, Yuan Gao, Rui Ray Chen, Kun Wang, Fan Xu, Jinbao Xue, Shuaipeng Li, Yangyu Tao, Di Wang, Hao Wu, Xiaomeng Huang

CoRR, February, 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

CoRR, February, 2025

Physics-aware parameter diffusion for spatio-temporal continuum field modeling for governance.

An Zhang, Sheng Chen, Pengcheng Wu, Chao Wu, Hao Wu, Fan Xu, Kun Wang

Neurocomputing, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

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

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

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics.

Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection.

Xiaoxiao Liu, Fan Xu, Nan Wang, Qinxin Zhao, Dalin Zhang, Xibin Zhao, Jiqiang Liu

CoRR, 2024

SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs.

Hao Wu, Fan Xu

CoRR, 2024

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance.

Hao Wu, Fan Xu, Yifan Duan, Ziwei Niu, Weiyan Wang, Gaofeng Lu, Kun Wang, Yuxuan Liang, Yang Wang

CoRR, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

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

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

Hao Wu, Fan Xu, Chong Chen, Xian-Sheng Hua, Xiao Luo, Haixin Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum.

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum.

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao

CoRR, 2023

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

Hao Wu, Wei Xiong, Fan Xu, Xiao Luo, Chong Chen, Xian-Sheng Hua, Haixin Wang

CoRR, 2023

Exploring Global and Local Information for Anomaly Detection with Normal Samples.

Fan Xu, Nan Wang, Xibin Zhao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection.

Fan Xu, Nan Wang, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Fairness with adaptive weight in network attack detection.

Xuezhi Wen, Nan Wang, Yuanlin Sun, Fan Xu, Dalin Zhang, Xibin Zhao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023