← Authors

Yue Gao

82 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (17) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (14) πŸ‘₯ Mega-Team (22) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year (17) πŸ’Ž Century Club (78) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (341)

Conferences

AAAI (19) CVPR (13) IJCAI (13) MICCAI (10) NIPS (8) ICCV (6) ICLR (5) ICML (4) ACL (1) CORL (1) ECCV (1) UAI (1)

Top co-authors

Xibin Zhao (14) Yifan Feng (14) Rongrong Ji (9) Shaoyi Du (9) Xiangmin Han (7) guiguang ding (6) Siqi Li (6) Changqing Zou (5) Buqing Nie (5) Jungong Han (5)

Research topics

Applications (1)

Keywords

hypergraph learning (8) 3d object retrieval (4) convolutional neural network (4) neural network (4) 3d reconstruction (4) facial expression recognition (3) point cloud (3) point cloud registration (3) video generation (3) zero-shot learning (3) feature extraction (3) 3d vision (3) generative adversarial network (3) 3d shape recognition (3) representation learning (3) reinforcement learning (2) adversarial robustness (2) self-supervised learning (2) multi-task learning (2) semi-supervised learning (2)

Papers

Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026
Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation AAAI 2026
Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis AAAI 2026
Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026
Multimodal Machine Translation with Text-Image In-depth Questioning ACL 2025
Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI MICCAI 2025
GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning CVPR 2025
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video CVPR 2025
Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior ICCV 2025
Letting Uncertainty Guide Your Multimodal Machine Translation UAI 2025
Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning MICCAI 2025
Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction MICCAI 2025
Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning MICCAI 2025
Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis MICCAI 2025
DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis MICCAI 2025
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance IJCAI 2025
Hyper-Depth: Hypergraph-based Multi-Scale Representation Fusion for Monocular Depth Estimation ICCV 2025
Select before Act: Spatially Decoupled Action Repetition for Continuous Control ICLR 2025
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? ICLR 2025
Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots CORL 2025
Implicit Motion Function CVPR 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph NIPS 2024
Hypergraph Dynamic System ICLR 2024
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference ICLR 2024
Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree NIPS 2024
Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval NIPS 2024
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition AAAI 2024
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
PathoTune: Adapting Visual Foundation Model to Pathological Specialists MICCAI 2024
Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs MICCAI 2024
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns MICCAI 2024
3D Feature Tracking via Event Camera CVPR 2024
ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion CVPR 2024
ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs MICCAI 2024
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval IJCAI 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024
Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction NIPS 2023
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function NIPS 2023
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes CVPR 2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds CVPR 2023
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition AAAI 2023
EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems AAAI 2023
High-Fidelity and Freely Controllable Talking Head Video Generation CVPR 2023
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems ICML 2022
On the Limitations of Stochastic Pre-processing Defenses NIPS 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery NIPS 2022
Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model CVPR 2022
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform ECCV 2022
Rethinking Supervised Pre-Training for Better Downstream Transferring ICLR 2022
Lazy Estimation of Variable Importance for Large Neural Networks ICML 2022
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021
Event Stream Super-Resolution via Spatiotemporal Constraint Learning ICCV 2021
View-Guided Point Cloud Completion CVPR 2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection CVPR 2021
High-Fidelity and Arbitrary Face Editing CVPR 2021
Domain General Face Forgery Detection by Learning to Weight AAAI 2021
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network AAAI 2021
Leveraging Non-uniformity in First-order Non-convex Optimization ICML 2021
Hypergraph Label Propagation Network AAAI 2020
Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion AAAI 2020
Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering AAAI 2020
Hypergraph Neural Networks AAAI 2019
Universal Perturbation Attack Against Image Retrieval ICCV 2019
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation ICCV 2019
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition AAAI 2019
Dynamic Hypergraph Neural Networks IJCAI 2019
MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval AAAI 2019
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval AAAI 2019
MeshNet: Mesh Neural Network for 3D Shape Representation AAAI 2019
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid IJCAI 2018
Personality-Aware Personalized Emotion Recognition from Physiological Signals IJCAI 2018
Iterative Metric Learning for Imbalance Data Classification IJCAI 2018
Dynamic Hypergraph Structure Learning IJCAI 2018
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition CVPR 2018
SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing IJCAI 2017
Synthesizing Samples for Zero-shot Learning IJCAI 2017
Vertex-Weighted Hypergraph Learning for Multi-View Object Classification IJCAI 2017
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion IJCAI 2017
Semi-Supervised Active Learning with Cross-Class Sample Transfer IJCAI 2016