IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval. - Haixin Wang 003; Hao Wu 094; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (NeurIPS, 2023)

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. - Hao Wu 094; Wei Xiong 008; Fan Xu 009; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001; Haixin Wang 003 (CoRR, 2023)

AI-GOMS: Large AI-Driven Global Ocean Modeling System. - Wei Xiong 016; Yanfei Xiang; Hao Wu 094; Shuyi Zhou; Yuze Sun; Muyuan Ma; Xiaomeng Huang (CoRR, 2023)

Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Xibin Zhao (CoRR, 2023)

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Xibin Zhao; Hai Wan (AAAI, 2024)

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE. - Hao Wu 094; Huiyuan Wang; Kun Wang 039; Weiyan Wang; Changan Ye; Yangyu Tao; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICML, 2024)

Neural Manifold Operators for Learning the Evolution of Physical Dynamics. - Hao Wu 094; Kangyu Weng; Shuyi Zhou; Xiaomeng Huang; Wei Xiong 016 (KDD, 2024)

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. - Hao Wu 094; Fan Xu 009; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001; Haixin Wang 003 (ACM Multimedia, 2024)

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling. - Hao Wu 094; Changhu Wang; Fan Xu 009; Jinbao Xue; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (NeurIPS, 2024)

GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Dalin Zhang 003; Siyang Lu; Binyong Li; Wei Gong 001; Hai Wan; Xibin Zhao (ECML/PKDD (6), 2024)

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. - Hao Wu 094; Haomin Wen; Guibin Zhang; Yutong Xia; Kai Wang 036; Yuxuan Liang; Yu Zheng 004; Kun Wang 056 (CoRR, 2024)

SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs. - Hao Wu 094; Fan Xu 009 (CoRR, 2024)

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. - Hao Wu 094; Haomin Wen; Guibin Zhang; Yutong Xia; Yuxuan Liang; Yu Zheng 004; Qingsong Wen; Kun Wang 056 (KDD (1), 2025)

S3-Fire: Enhanced generalization in spatiotemporal fire prediction with selective state and spectral spaces. - Hao Wu 094; Jie Ji (Expert Syst. Appl., 2025)

OneForecast: A Universal Framework for Global and Regional Weather Forecasting. - Yuan Gao; Hao Wu 094; Ruiqi Shu; Huanshuo Dong; Fan Xu 009; Rui Chen; Yibo Yan; Qingsong Wen; Xuming Hu; Kun Wang 056; Jiahao Wu 004; Qing Li 001; et al. (CoRR, 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 042; Fan Xu 009; Jinbao Xue; Shuaipeng Li; Yangyu Tao; Di Wang; Hao Wu 094; et al. (CoRR, 2025)

CellVerse: Do Large Language Models Really Understand Cell Biology? - Fan Zhang; Tianyu Liu; Zhihong Zhu; Hao Wu 094; Haixin Wang 003; Donghao Zhou; Yefeng Zheng 001; Kun Wang 056; Xian Wu 001; Pheng-Ann Heng (CoRR, 2025)

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias. - Hao Wu 094; Yuan Gao; Ruiqi Shu; Zean Han; Fan Xu 009; Zhihong Zhu; Qingsong Wen; Xian Wu 001; Kun Wang 042; Xiaomeng Huang (CoRR, 2025)

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation. - Yuan Gao; Ruiqi Shu; Hao Wu 094; Fan Xu 009; Yanfei Xiang; Ruijian Gou; Qingsong Wen; Xian Wu 001; Xiaomeng Huang (CoRR, 2025)