Hao Wu

According to our database, Hao Wu authored at least 25 papers between 2022 and 2025.

Collaborative distances:

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

2025

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models.

Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yifan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng

CoRR, August, 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

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

CellVerse: Do Large Language Models Really Understand Cell Biology?

Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng

CoRR, May, 2025

3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting.

Hao Wu, Hao Wang, Ruochong Li, Xuran Ma, Hui Xiong

CoRR, April, 2025

SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation.

Junlong Ren, Hao Wu, Hui Xiong, Hao Wang

CoRR, February, 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

S3-Fire: Enhanced generalization in spatiotemporal fire prediction with selective state and spectral spaces.

Hao Wu, Jie Ji

Expert Syst. Appl., 2025

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

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

Hao Wu, Fan Xu

CoRR, 2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun 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 38: 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

Neural Manifold Operators for Learning the Evolution of Physical Dynamics.

Hao Wu, Kangyu Weng, Shuyi Zhou, Xiaomeng Huang, Wei Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE.

Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo

Proceedings of the Forty-first International Conference on Machine Learning, 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

AI-GOMS: Large AI-Driven Global Ocean Modeling System.

Wei Xiong, Yanfei Xiang, Hao Wu, Shuyi Zhou, Yuze Sun, Muyuan Ma, Xiaomeng Huang

CoRR, 2023

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback.

Yiqi Lin, Hao Wu, Ruichen Wang, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang

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

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.

Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey.

Yunfan Lu, Yiqi Lin, Hao Wu, Yunhao Luo, Xu Zheng, Lin Wang

CoRR, 2022