Qinghua Hu

CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion AAAI 2026 Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026 Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion AAAI 2026 Dynamic Personality in LLM Agents: A Framework for Evolutionary Modeling and Behavioral Analysis in the Prisoner’s Dilemma ACL 2025 Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback ACL 2025 Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion ICML 2025 Patch-wise Structural Loss for Time Series Forecasting ICML 2025 Online Clustering of Dueling Bandits ICML 2025 Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark ICLR 2025 Asymmetric Factorized Bilinear Operation for Vision Transformer ICLR 2025 Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning ICCV 2025 Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition ICCV 2025 CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification CVPR 2025 DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025 TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CVPR 2025 Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025 Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration ICML 2025 Asymmetric Reinforcing Against Multi-Modal Representation Bias AAAI 2025 Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction AAAI 2025 Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model AAAI 2025 Hierarchical Classification Auxiliary Network for Time Series Forecasting AAAI 2025 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 Visible and Clear: Finding Tiny Objects in Difference Map ECCV 2024 Test-Time Dynamic Image Fusion NIPS 2024 Out-Of-Distribution Detection with Diversification (Provably) NIPS 2024 What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NIPS 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024 Persistence Homology Distillation for Semi-supervised Continual Learning NIPS 2024 Conditional Controllable Image Fusion NIPS 2024 Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion IJCAI 2024 Bi-directional Adapter for Multimodal Tracking AAAI 2024 Exploring Diverse Representations for Open Set Recognition AAAI 2024 Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning AAAI 2024 Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound AAAI 2024 Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering AAAI 2024 Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration ICML 2024 Predictive Dynamic Fusion ICML 2024 Task-Customized Mixture of Adapters for General Image Fusion CVPR 2024 ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024 Calibrating Multimodal Learning ICML 2023 Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion NIPS 2023 Fairness-guided Few-shot Prompting for Large Language Models NIPS 2023 Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification CVPR 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Tuning Pre-trained Model via Moment Probing ICCV 2023 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023 Multi-Modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion ICCV 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023 DropCov: A Simple yet Effective Method for Improving Deep Architectures NIPS 2022 Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark CVPR 2021 Multi-View Information-Bottleneck Representation Learning AAAI 2021 Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions NIPS 2021 Temporal-attentive Covariance Pooling Networks for Video Recognition NIPS 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021 T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation ICCV 2021 Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning AAAI 2020 ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020 Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 Neural Blind Deconvolution Using Deep Priors CVPR 2020 SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning ECCV 2020 Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering ICCV 2019 Deep Global Generalized Gaussian Networks CVPR 2019 Progressive Image Deraining Networks: A Better and Simpler Baseline CVPR 2019 Flexible Multi-View Representation Learning for Subspace Clustering IJCAI 2019 CPM-Nets: Cross Partial Multi-View Networks NIPS 2019 Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning IJCAI 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold IJCAI 2018 FISH-MML: Fisher-HSIC Multi-View Metric Learning IJCAI 2018 Hierarchical Feature Selection with Recursive Regularization IJCAI 2017 Latent Multi-View Subspace Clustering CVPR 2017 A Self-Representation Induced Classifier IJCAI 2016 Random Feature Mapping with Signed Circulant Matrix Projection IJCAI 2015