Publications

A collection of my research work.

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE

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 ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026

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

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, others

International Conference on Machine Learning 2026

Neuralom: Neural ocean model for subseasonal-to-seasonal simulation

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 AAAI Conference on Artificial Intelligence 2026

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting

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

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026

Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space

Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space

Cheng Yan, Wuyang Zhang, Zhiyuan Ning, Fan Xu, Ziyang Tao, Lu Zhang, Bing Yin, Yanyong Zhang

Proceedings of the AAAI Conference on Artificial Intelligence 2026

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

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, others

arXiv 2026

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting

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

arXiv 2026

Breaking the discretization barrier of continuous physics simulation learning

Breaking the discretization barrier of continuous physics simulation learning

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

Advances in Neural Information Processing Systems 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

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, Li Qing, Hui Xiong, Xiaomeng Huang

International Conference on Machine Learning 2025

Open-CK: A large multi-physics fields coupling benchmarks in combustion kinetics

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

International Conference on Learning Representations 2025

Pastnet: Introducing physical inductive biases for spatio-temporal video prediction

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 2024

Pure: Prompt evolution with graph ode for out-of-distribution fluid dynamics modeling

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

Advances in Neural Information Processing Systems 2024

Revisiting graph-based fraud detection in sight of heterophily and spectrum

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 AAAI conference on artificial intelligence 2024