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Yan Yan

Illinois Institute of Technology, Department of Computer Science, IL, USA

27 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

CVPR ×8ICCV ×5NeurIPS ×4AAAI ×2ACM MM ×2ECCV ×2ICLR ×1ICRA ×1IROS ×1SIGIR ×1

Frequent coauthors

Weitai Kang
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Junyi Wu
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Zhenghao Zhao
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Yuzhang Shang
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Haoxuan Wang
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Junsheng Wang
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Gengyu Zhang
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Aihua Zheng
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Qianlong Xiang
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Changchang Sun
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Bin Xie
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Feiran Wang
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Papers

  1. ProxyTTT: Proxy-driven Test-Time Training for Multi-modal Re-identification
    AAAI 2026 ·
    Aihua Zheng
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  2. CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
    ICCV 2025 ·
    Haoxuan Wang
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  3. DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
    CVPR 2025 ·
    Qianlong Xiang
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  4. Distilling Long-tailed Datasets
    CVPR 2025 ·
    Zhenghao Zhao
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  5. Efficient Multimodal Dataset Distillation via Generative Models
    NeurIPS 2025 ·
    Zhenghao Zhao
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  6. Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
    CVPR 2025 ·
    Changchang Sun
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  7. Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
    ICLR 2025 ·
    Weitai Kang
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  8. LLaVA-Prumerge: Adaptive Token Reduction for Efficient Large Multimodal Models
    ICCV 2025 ·
    Yuzhang Shang
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  9. MaskSAM: Auto-Prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
    ICCV 2025 ·
    Bin Xie
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  10. Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
    NeurIPS 2025 ·
    Junyi Wu
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  11. QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning
    ICCV 2025 ·
    Haoxuan Wang
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  12. Robin3D Improving 3D Large Language Model via Robust Instruction Tuning
    ICCV 2025 ·
    Weitai Kang
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  13. Visual Grounding with Attention-Driven Constraint Balancing
    ACM MM 2025 ·
    Weitai Kang
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  14. X-Field: A Physically Informed Representation for 3D X-ray Reconstruction
    NeurIPS 2025 ·
    Feiran Wang
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  15. Dataset Quantization with Active Learning Based Adaptive Sampling
    ECCV 2024 ·
    Zhenghao Zhao
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  16. Efficient Multitask Dense Predictor via Binarization
    CVPR 2024 ·
    Yuzhang Shang
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  17. Enhancing Post-Training Quantization Calibration Through Contrastive Learning
    CVPR 2024 ·
    Yuzhang Shang
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  18. FBPT: A Fully Binary Point Transformer
    ICRA 2024 ·
    Zhixing Hou
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  19. On the Faithfulness of Vision Transformer Explanations
    CVPR 2024 ·
    Junyi Wu
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  20. PTQ4DiT: Post-training Quantization for Diffusion Transformers
    NeurIPS 2024 ·
    Junyi Wu
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  21. Partially Aligned Cross-modal Retrieval via Optimal Transport-based Prototype Alignment Learning
    ACM MM 2024 ·
    Junsheng Wang
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  22. SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
    ECCV 2024 ·
    Weitai Kang
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  23. Semi-supervised Prototype Semantic Association Learning for Robust Cross-modal Retrieval
    SIGIR 2024 ·
    Junsheng Wang
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  24. Token Transformation Matters: Towards Faithful Post-Hoc Explanation for Vision Transformer
    CVPR 2024 ·
    Junyi Wu
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  25. Towards Accurate And Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning
    IROS 2024 ·
    Gengyu Zhang
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  26. Versatile Navigation Under Partial Observability via Value-Guided Diffusion Policy
    CVPR 2024 ·
    Gengyu Zhang
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  27. WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting
    AAAI 2024 ·
    Zhiliang Wu
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