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Qingming Huang

University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China

61 papers at tracked venues · 58 at CORE A* · active 2024–2026

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Venues

ICML ×13AAAI ×11NeurIPS ×11ACM MM ×10CVPR ×7ACL ×3ICLR ×2EACL ×1ECCV ×1ICCV ×1ICDM ×1

Frequent coauthors

Gaozheng Pei
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Gaoxiang Cong
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Shufan Shen
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Feiran Li
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Yunbin Tu
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Zhiguang Lu
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Junxi Chen
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Boyu Han
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Cong Hua
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Junshu Sun
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Jiadong Pan
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Yang Liu
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Papers

  1. DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes
    AAAI 2026 ·
    Ruizhou Liu
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  2. HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
    AAAI 2026 ·
    Zhiguang Lu
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  3. Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation
    AAAI 2026 ·
    Difu Feng
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  4. The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning
    EACL 2026 ·
    Mingkai Tian
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  5. TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
    AAAI 2026 ·
    Qifeng Lei
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  6. A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement
    ACM MM 2025 ·
    Gaozheng Pei
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  7. ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence
    ICML 2025 ·
    Guanghui Wang
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  8. Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification
    AAAI 2025 ·
    Zhiguang Lu
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  9. Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
    ICML 2025 ·
    Haoming Yang
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  10. Change Entity-guided Heterogeneous Representation Disentangling for Change Captioning
    ACL 2025 ·
    Yi Li
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  11. Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
    ICML 2025 ·
    Gaozheng Pei
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  12. Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models
    AAAI 2025 ·
    Guanqi Ding
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  13. Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
    CVPR 2025 ·
    Gaozheng Pei
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  14. EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
    CVPR 2025 ·
    Gaoxiang Cong
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  15. Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
    ICLR 2025 ·
    Shufan Shen
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  16. Exploring Structural Degradation in Dense Representations for Self-supervised Learning
    NeurIPS 2025 ·
    Siran Dai
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  17. FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing
    ACM MM 2025 ·
    Gaoxiang Cong
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  18. Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
    ICML 2025 ·
    Sicong Li
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  19. Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
    NeurIPS 2025 ·
    Junxi Chen
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  20. Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation
    ICCV 2025 ·
    Feiran Li
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  21. Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
    AAAI 2025 ·
    Junbao Zhuo
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  22. LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
    NeurIPS 2025 ·
    Boyu Han
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  23. MGVC: MLLM-Guided Video Captioning for the IntentVC Challenge
    ACM MM 2025 ·
    Zhipeng Yu
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  24. MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
    ICML 2025 ·
    Shixi Qin
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  25. One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework
    ICML 2025 ·
    Feiran Li
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  26. OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
    ICML 2025 ·
    Cong Hua
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  27. Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning
    AAAI 2025 ·
    Yunbin Tu
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  28. Relieving the Over-Aggregating Effect in Graph Transformers
    NeurIPS 2025 ·
    Junshu Sun
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  29. SDVPT: Semantic-Driven Visual Prompt Tuning for Open-world Object Counting
    ACM MM 2025 ·
    Yiming Zhao
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  30. SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM
    AAAI 2025 ·
    Xingyu Lyu
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  31. SVDLoRA: Data-Driven Low-Rank Adaptation via Spectral Decomposition
    ICDM 2025 ·
    Fanglue Zhang
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  32. SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe Generation
    ACM MM 2025 ·
    Jiadong Pan
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  33. Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering
    CVPR 2025 ·
    Zhen Yang
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  34. VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set
    NeurIPS 2025 ·
    Shufan Shen
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  35. Video Language Model Pretraining with Spatio-temporal Masking
    CVPR 2025 ·
    Yue Wu
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  36. When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
    CVPR 2025 ·
    Yang Liu
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  37. ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
    AAAI 2024 ·
    Junwei He
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  38. AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
    NeurIPS 2024 ·
    Boyu Han
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  39. Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
    AAAI 2024 ·
    Zhaobo Qi
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  40. Context-aware Difference Distilling for Multi-change Captioning
    ACL 2024 ·
    Yunbin Tu
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  41. Data-free Neural Representation Compression with Riemannian Neural Dynamics
    ICML 2024 ·
    Zhengqi Pei
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  42. Distractors-Immune Representation Learning with Cross-Modal Contrastive Regularization for Change Captioning
    ECCV 2024 ·
    Yunbin Tu
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  43. ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
    ICML 2024 ·
    Hongyu Liu
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  44. Expanding Sparse Tuning for Low Memory Usage
    NeurIPS 2024 ·
    Shufan Shen
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  45. HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
    ACM MM 2024 ·
    Junwei He
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  46. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
    ICML 2024 ·
    Zhiyong Yang
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  47. Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
    NeurIPS 2024 ·
    Jiadong Pan
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  48. Modeling Language Tokens as Functionals of Semantic Fields
    ICML 2024 ·
    Zhengqi Pei
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  49. MovingColor: Seamless Fusion of Fine-grained Video Color Enhancement
    ACM MM 2024 ·
    Yi Dong
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  50. Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
    NeurIPS 2024 ·
    Benyuan Meng
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  51. Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
    ACM MM 2024 ·
    Yang Liu
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  52. Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
    CVPR 2024 ·
    Junxi Chen
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  53. R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
    ICLR 2024 ·
    Jiayu Xiao
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  54. ReconBoost: Boosting Can Achieve Modality Reconcilement
    ICML 2024 ·
    Cong Hua
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  55. Regularized Contrastive Partial Multi-view Outlier Detection
    ACM MM 2024 ·
    Yijia Wang
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  56. Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
    ICML 2024 ·
    Feiran Li
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  57. StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing
    ACL 2024 ·
    Gaoxiang Cong
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  58. Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
    NeurIPS 2024 ·
    Benyuan Meng
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  59. Towards Dynamic Message Passing on Graphs
    NeurIPS 2024 ·
    Junshu Sun
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  60. Unsupervised Image-to-Video Adaptation via Category-aware Flow Memory Bank and Realistic Video Generation
    ACM MM 2024 ·
    Kenan Huang
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  61. Weakly Supervised Video Individual Counting
    CVPR 2024 ·
    Xinyan Liu
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