Yuan Gao

Orcid: 0000-0001-7730-0421

Affiliations:
  • Tencent AI Lab, Shenzhen, China
  • City University of Hong Kong, Department of Electronic Engineering, Hong Kong (PhD 2016)


According to our database1, Yuan Gao authored at least 88 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting.
CoRR, May, 2026

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting.
CoRR, May, 2026

RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models.
CoRR, May, 2026

SURF: Signature-Retained Fast Video Generation.
CoRR, March, 2026

Timestep-Aware Block Masking for Efficient Diffusion Model Inference.
CoRR, March, 2026

OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning.
CoRR, March, 2026

REST: Holistic Learning for End-to-End Semantic Segmentation of Whole-Scene Remote Sensing Imagery.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Towards Human-Level 3D Relative Pose Estimation: Generalizable, Training-Free, With Single Reference.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

KlingAvatar 2.0 Technical Report.
CoRR, December, 2025

NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics.
CoRR, December, 2025

Astra: General Interactive World Model with Autoregressive Denoising.
CoRR, December, 2025

UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation.
CoRR, December, 2025

Advancing Ocean State Estimation with efficient and scalable AI.
CoRR, November, 2025

Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond.
CoRR, November, 2025

Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction.
CoRR, October, 2025

On the Faithfulness of Visual Thinking: Measurement and Enhancement.
CoRR, October, 2025

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models.
CoRR, October, 2025

Spatio-Temporal Pyramid Keypoint Detection With Event Cameras.
IEEE Trans. Circuits Syst. Video Technol., September, 2025

VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations.
CoRR, September, 2025

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting.
CoRR, September, 2025

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation.
IEEE Trans. Medical Imaging, August, 2025

Score Augmentation for Diffusion Models.
CoRR, August, 2025

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation.
CoRR, May, 2025

Advanced long-term earth system forecasting by learning the small-scale nature.
CoRR, May, 2025

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias.
CoRR, May, 2025

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting.
CoRR, February, 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.
CoRR, February, 2025

Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation.
Comput. Electr. Eng., 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions.
IEEE Trans. Intell. Transp. Syst., December, 2024

Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.
IEEE Trans. Intell. Transp. Syst., August, 2024

MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction.
IEEE CAA J. Autom. Sinica, May, 2024

MvKSR: Multi-View Knowledge-Guided Scene Recovery for Hazy and Rainy Degradation.
IEEE Trans. Instrum. Meas., 2024

AoSRNet: All-in-One Scene Recovery Networks via multi-knowledge integration.
Knowl. Based Syst., 2024

Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach.
CoRR, 2024

Owl-1: Omni World Model for Consistent Long Video Generation.
CoRR, 2024

Intensity Field Decomposition for Tissue-Guided Neural Tomography.
CoRR, 2024

TAS: Distilling Arbitrary Teacher and Student via a Hybrid Assistant.
CoRR, 2024

Optimization-based Structural Pruning for Large Language Models without Back-Propagation.
CoRR, 2024

VideoTetris: Towards Compositional Text-to-Video Generation.
CoRR, 2024

Dual Relation Mining Network for Zero-Shot Learning.
CoRR, 2024

Anchor-based Robust Finetuning of Vision-Language Models.
CoRR, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.
CoRR, 2024

Alleviating Structural Distribution Shift in Graph Anomaly Detection.
CoRR, 2024

Attention-oriented residual block for real-time low-light image enhancement in smart ports.
Comput. Electr. Eng., 2024

I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

VideoTetris: Towards Compositional Text-to-Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Denoising Diffusion via Probabilistic Masking.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DMTG: One-Shot Differentiable Multi-Task Grouping.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

OneRestore: A Universal Restoration Framework for Composite Degradation.
Proceedings of the Computer Vision - ECCV 2024, 2024

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Anchor-based Robust Finetuning of Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SD2Event: Self-Supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Locality Preserving Refinement for Shape Matching with Functional Maps.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Dynamic Keypoint Detection Network for Image Matching.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Camera distance helps 3D hand pose estimated from a single RGB image.
Graph. Model., May, 2023

Let You See in Haze and Sandstorm: Two-in-One Low-Visibility Enhancement Network.
IEEE Trans. Instrum. Meas., 2023

I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models.
CoRR, 2023

D<sup>2</sup>Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph.
CoRR, 2022

Low-Light Image Enhancement via Gradient Prior-Aided Network.
IEEE Access, 2022

Finding Dynamics Preserving Adversarial Winning Tickets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020
TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person.
Neural Comput. Appl., 2020

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Feature-guided Gaussian mixture model for image matching.
Pattern Recognit., 2019

Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images.
Int. J. Comput. Vis., 2019

Face Anti-Spoofing: Model Matters, so Does Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction.
CoRR, 2018

Reduced-Rank Linear Dynamical Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples.
IEEE Trans. Image Process., 2017

Locality Preserving Matching.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response.
Comput. Biol. Medicine, 2016

Sparse unmixing of hyperspectral data based on robust linear mixing model.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Robust image matching via feature guided Gaussian mixture model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
A High-Throughput Zebrafish ScreeningMethod for Visual Mutants by Light-Induced Locomotor Response.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

A robust and outlier-adaptive method for non-rigid point registration.
Pattern Anal. Appl., 2014

2013
Naming Game on Networks: Let Everyone be Both Speaker and Hearer.
CoRR, 2013


  Loading...