Qinghua Hu

73 papers · 2015–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (8) 🏆 Keyword Champion (2) 🔬 Deep Specialist (13) 🌱 Topic Pioneer 🤝 Dynamic Duo (34) 🏆 Grand Slam 📈 Trend Setter 💎 Century Club (70) 🔥 Unstoppable (11) ❓ The Questioner ⚡ Prolific Year (6) 🗃️ Keyword Collector (306)

Conferences

CVPR (16) AAAI (15) NIPS (12) ICCV (8) ICML (8) IJCAI (8) ACL (2) ECCV (2) ICLR (2)

Top co-authors

Pengfei Zhu (36) Changqing Zhang (21) Qilong Wang (20) Bing Cao (13) Huazhu Fu (8) Yu Wang (8) Peihua Li (7) Zongbo Han (6) Wangmeng Zuo (6) Joey Tianyi Zhou (5)

Research topics

Deep Learning (1)

Keywords

representation learning (7) image fusion (7) feature learning (6) transfer learning (5) convolutional neural network (4) uncertainty estimation (4) few-shot learning (4) multi-view learning (4) continual learning (4) vision-language model (3) latent representation (3) out-of-distribution detection (3) zero-shot learning (3) semi-supervised learning (3) catastrophic forgetting (3) multimodal learning (3) image classification (3) image restoration (3) knowledge distillation (3) infrared imaging (3)

Papers

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