Hao Wu

Orcid: 0009-0008-4084-1409

Affiliations:

Tencent Inc., TEG, China
University of Science and Technology of China, Hefei, China (former)

According to our database¹, Hao Wu authored at least 51 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

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

[BibT_eX]

[DOI]

CoRR, May, 2026

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2026

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

[BibT_eX]

[DOI]

CoRR, May, 2026

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

[BibT_eX]

[DOI]

CoRR, March, 2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.

[BibT_eX]

[DOI]

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

S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics.

[BibT_eX]

[DOI]

CoRR, December, 2025

Advancing Ocean State Estimation with efficient and scalable AI.

[BibT_eX]

[DOI]

CoRR, November, 2025

Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond.

[BibT_eX]

[DOI]

CoRR, November, 2025

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

[BibT_eX]

[DOI]

CoRR, October, 2025

Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction.

[BibT_eX]

[DOI]

CoRR, October, 2025

SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

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

[BibT_eX]

[DOI]

CoRR, October, 2025

VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, September, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling.

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

Advanced long-term earth system forecasting by learning the small-scale nature.

[BibT_eX]

[DOI]

CoRR, May, 2025

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias.

[BibT_eX]

[DOI]

CoRR, May, 2025

CellVerse: Do Large Language Models Really Understand Cell Biology?

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, April, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Neurocomputing, 2025

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

[BibT_eX]

[DOI]

Hao Wu

Jie Ji

Expert Syst. Appl., 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

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

[BibT_eX]

[DOI]

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

MagicCity: Geometry-Aware 3D City Generation from Satellite Imagery with Multi-View Consistency.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Hao Wu

Fan Xu

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

COM3D: Leveraging Cross-View Correspondence and Cross-Modal Mining for 3D Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Hao Wu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...