Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
Fan Xu, Yuan Gao, Kun Wang, Rui Su, Fenghua Ling, Hao Wu†, Wanli Ouyang†
Advances in Neural Information Processing Systems · 2026 （CCF A）
About
I am currently a second-year Ph.D. student in Computer Science and Technology jointly trained by University of Science and Technology of China (USTC) and Shenzhen Loop Area Institute (SLAI), supervised by Prof. Wanli Ouyang. My research interests primarily center on Generative AI, World Models, and Agentic RL.
Feel free to contact me for any potential communications or collaborations.
News
2026-09
Three papers were accepted to NeurIPS2026, Congrats to All 🎉
2026-05
One paper was accepted to KDD2026, Main Track (Research) (Co-First Author) 🎉
2026-05
One paper was accepted to ICML2026, (Co-First Author) 🎉
2025-11
One paper was accepted to KDD2026, Main Track (Research) (First Author) 🎉
2025-11
Two papers were accepted to AAAI2026, Congrats to All 🎉
2025-09
One paper was accepted to NeurIPS2025 (First Author) 🎉
Selected Publications
* Equal contribution† Corresponding author
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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
Advances in Neural Information Processing Systems · 2026 （CCF A）
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 （CCF A）
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†
SIGKDD Conference on Knowledge Discovery and Data Mining · 2026 （CCF A）
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 （CCF A）
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†
SIGKDD Conference on Knowledge Discovery and Data Mining · 2026 （CCF A）
Semantically Complementary Spectral Views Learning for Graph-Level Anomaly Detection
Yuanming Liu*, Fan Xu*, Xibin Zhao, Hai Wan, Junran Wu, Nan Wang, Jiqiang Liu
Advances in Neural Information Processing Systems · 2026 （CCF A）
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 （CCF A）
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 （CCF A）
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 （CCF A）