PPaperPicks

Qinghua Hu

47 papers at tracked venues · 45 at CORE A* · active 2024–2026

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Venues

AAAI ×12NeurIPS ×10CVPR ×6ICML ×6ICCV ×3WWW ×3ICLR ×2ACL ×1ACM MM ×1ECCV ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Bing Cao
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Yiming Sun
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Zihan Feng
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Junjie Wu
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Jialu Li
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Yanru Sun
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Xinjie Yao
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Yan Fan
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Pengfei Zhu
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Xingxin Xu
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Haoshuang Liu
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Tianqi Jiang
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Papers

  1. CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion
    AAAI 2026 ·
    Yiming Sun
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  2. Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
    AAAI 2026 ·
    Xingxin Xu
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  3. LLM-Driven Semantic ID for Information Diffusion Prediction
    WWW 2026 ·
    Haoshuang Liu
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  4. Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective
    AAAI 2026 ·
    Tianqi Jiang
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  5. Many Hands Make Light Work: Group-based Information Diffusion Prediction over Long-Context Cascades
    WWW 2026 ·
    Zihan Feng
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  6. Asymmetric Factorized Bilinear Operation for Vision Transformer
    ICLR 2025 ·
    Junjie Wu
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  7. Asymmetric Reinforcing Against Multi-Modal Representation Bias
    AAAI 2025 ·
    Xiyuan Gao
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  8. CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
    CVPR 2025 ·
    Wenlong Yu
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  9. DALIP: Distribution Alignment-Based Language-Image Pre-Training for Domain-Specific Data
    ICCV 2025 ·
    Junjie Wu
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  10. Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
    ICCV 2025 ·
    Liwei Luo
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  11. Dynamic Personality in LLM Agents: A Framework for Evolutionary Modeling and Behavioral Analysis in the Prisoner's Dilemma
    ACL 2025 ·
    Weiqi Zeng
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  12. Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
    ICLR 2025 ·
    Bing Cao
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  13. Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks
    SIGKDD 2025 ·
    Zihan Feng
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  14. Graphs Help Graphs: Multi-Agent Graph Socialized Learning
    NeurIPS 2025 ·
    Jialu Li
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  15. Hierarchical Classification Auxiliary Network for Time Series Forecasting
    AAAI 2025 ·
    Yanru Sun
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  16. Hyperbolic-Euclidean Deep Mutual Learning
    WWW 2025 ·
    Haifang Cao
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  17. Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
    NeurIPS 2025 ·
    Yanru Sun
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  18. Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring
    ACM MM 2025 ·
    Wei Shang
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  19. Multimodal Negative Learning
    NeurIPS 2025 ·
    Baoquan Gong
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  20. Online Clustering of Dueling Bandits
    ICML 2025 ·
    Zhiyong Wang
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  21. Patch-wise Structural Loss for Time Series Forecasting
    ICML 2025 ·
    Dilfira Kudrat
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  22. Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction
    AAAI 2025 ·
    Junliang Li
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  23. Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
    CVPR 2025 ·
    Huitong Chen
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  24. RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
    NeurIPS 2025 ·
    Zhenyi Lin
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  25. Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
    ICML 2025 ·
    Xinjie Yao
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  26. Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
    AAAI 2025 ·
    Huan Ma
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  27. TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
    CVPR 2025 ·
    Yilong Wang
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  28. Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
    ICML 2025 ·
    Yiming Sun
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  29. Unknown Text Learning for Clip-Based Few-Shot Open-Set Recognition
    ICCV 2025 ·
    Rui Ma
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  30. AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
    CVPR 2024 ·
    Yuwei Tang
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  31. Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
    AAAI 2024 ·
    Yun Liao
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  32. Bi-directional Adapter for Multimodal Tracking
    AAAI 2024 ·
    Bing Cao
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  33. Conditional Controllable Image Fusion
    NeurIPS 2024 ·
    Bing Cao
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  34. Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
    IJCAI 2024 ·
    Yiming Sun
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  35. Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
    AAAI 2024 ·
    Yan Fan
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  36. Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
    AAAI 2024 ·
    Pengfei Zhu
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  37. Exploring Diverse Representations for Open Set Recognition
    AAAI 2024 ·
    Yu Wang
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  38. ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
    CVPR 2024 ·
    Yichen Bai
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  39. Out-Of-Distribution Detection with Diversification (Provably)
    NeurIPS 2024 ·
    Haiyun Yao
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  40. Persistence Homology Distillation for Semi-supervised Continual Learning
    NeurIPS 2024 ·
    Yan Fan
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  41. Predictive Dynamic Fusion
    ICML 2024 ·
    Bing Cao
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  42. Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
    ICML 2024 ·
    Xinjie Yao
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  43. Task-Customized Mixture of Adapters for General Image Fusion
    CVPR 2024 ·
    Pengfei Zhu
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  44. Test-Time Dynamic Image Fusion
    NeurIPS 2024 ·
    Bing Cao
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  45. The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
    NeurIPS 2024 ·
    Qingyang Zhang
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  46. Visible and Clear: Finding Tiny Objects in Difference Map
    ECCV 2024 ·
    Bing Cao
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  47. What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
    NeurIPS 2024 ·
    Jialu Li
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