← Authors

Chao Huang

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (11) πŸ”¬ Deep Specialist (13) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (17) ❓ The Questioner (3) πŸ’Ž Century Club (75) ⚑ Prolific Year (16) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (319) πŸ”₯ Unstoppable (7)

Conferences

AAAI (19) IJCAI (15) ICML (12) CVPR (8) EMNLP (8) NIPS (6) ACL (3) ECCV (2) ICLR (2) ICCV (1) L4DC (1) NAACL (1)

Top co-authors

Yong Xu (17) Jie Wen (16) Lianghao Xia (15) Chengliang Liu (10) Chenliang Xu (7) Qi Zhu (7) Yabo Liu (6) Wei Wang (6) Yixuan Wang (6) Liefeng Bo (6)

Keywords

graph neural network (8) representation learning (8) multimodal learning (7) contrastive learning (6) collaborative filtering (5) knowledge graph (5) multi-view learning (5) large language model (4) attention mechanism (4) self-supervised learning (4) zero-shot learning (4) medical image segmentation (3) federated learning (3) deep learning (3) domain adaptation (3) audio-visual learning (3) vision-language model (3) prompt engineering (2) reinforcement learning (2) link prediction (2)

Papers

Detecting Fake News in Short Videos Through Multi-View Aggregation AAAI 2026
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting AAAI 2026
IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection AAAI 2026
Self-Adjust Softmax EMNLP 2025
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting NAACL 2025
VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? CVPR 2025
Learning to Highlight Audio by Watching Movies CVPR 2025
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators IJCAI 2025
Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection IJCAI 2025
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection IJCAI 2025
Directly Forecasting Belief for Reinforcement Learning with Delays ICML 2025
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025
Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models ICML 2025
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator ICML 2025
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025
p-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis? ICCV 2025
LightRAG: Simple and Fast Retrieval-Augmented Generation EMNLP 2025
Multi-view Evidential Learning-based Medical Image Segmentation AAAI 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025
RecLM: Recommendation Instruction Tuning ACL 2025
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models ACL 2025
Aria-UI: Visual Grounding for GUI Instructions ACL 2025
EasyRec: Simple yet Effective Language Models for Recommendation EMNLP 2025
GraphAgent: Agentic Graph Language Assistant EMNLP 2025
Boosting Data Utilization for Multilingual Dense Retrieval EMNLP 2025
RecGPT: A Foundation Model for Sequential Recommendation EMNLP 2025
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024
Variational Delayed Policy Optimization NIPS 2024
Convergence Analysis of Split Federated Learning on Heterogeneous Data NIPS 2024
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024
Modeling and Driving Human Body Soundfields through Acoustic Primitives ECCV 2024
TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance ECCV 2024
XRec: Large Language Models for Explainable Recommendation EMNLP 2024
OpenGraph: Towards Open Graph Foundation Models EMNLP 2024
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction ICML 2024
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024
Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation ICML 2024
Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering ICML 2024
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays ICML 2024
Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection IJCAI 2024
Multimodal Representation Distribution Learning for Medical Image Segmentation IJCAI 2024
State-wise safe reinforcement learning with pixel observations L4DC 2024
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction AAAI 2023
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation ICML 2023
AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis NIPS 2023
Denoised Self-Augmented Learning for Social Recommendation IJCAI 2023
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks NIPS 2023
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection CVPR 2023
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering CVPR 2023
Egocentric Audio-Visual Object Localization CVPR 2023
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023
Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation ICLR 2023
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation IJCAI 2022
Mutual Distillation Learning Network for Trajectory-User Linking IJCAI 2022
Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis CVPR 2021
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning IJCAI 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation IJCAI 2021
MetaSets: Meta-Learning on Point Sets for Generalizable Representations CVPR 2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network AAAI 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation AAAI 2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation AAAI 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation AAAI 2021
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps AAAI 2020
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) AAAI 2020
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction IJCAI 2020
Few-Shot Knowledge Graph Completion AAAI 2020
Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019
Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control IJCAI 2017
Hierarchical Model Predictive Control for Multi-Robot Navigation IJCAI 2016