Chao Huang

26

Papers

234

Total Citations

Papers (26)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?

Learning to Highlight Audio by Watching Movies

MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness

ZeroSep: Separate Anything in Audio with Zero Training

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation

REGLO: Provable Neural Network Repair for Global Robustness Properties

FedUV: Uniformity and Variance for Heterogeneous Federated Learning

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction

Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis

Egocentric Audio-Visual Object Localization

Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering

CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling

π-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis?

Multi-view Evidential Learning-based Medical Image Segmentation

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning

AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting