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Junyi (Jeremy) Wu

Ph.D. Student
University of Illinois Chicago
[email protected] [email protected]


Short Bio

I am a Ph.D. student in Computer Science advised by Prof. Yan Yan at University of Illinois Chicago since 2023 Spring. Before that, I received my bachelor’s degree in Mathematics (Information and Computing Science) from Sun Yat-sen University in 2022.

My research interests include Embodied AI, 3D Vision, Efficient Visual Generation, and Transformer Explainability.

Publications [Google Scholar]

  1. Motion arXiv
    Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance
    Haoxuan Wang, Jiachen Tao, Junyi Wu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
    [Paper]
  2. TraceFlow arXiv
    TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing
    Jiachen Tao, Junyi Wu, Haoxuan Wang, Zongxin Yang, Dawen Cai, Yan Yan
    [Paper]
  3. GPF arXiv
    From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields
    Jiachen Tao, Benjamin Planche, Van Nguyen Nguyen, Junyi Wu, Yuchun Liu, Haoxuan Wang, Zhongpai Gao, Gengyu Zhang, Meng Zheng, Feiran Wang, Anwesa Choudhuri, Zhenghao Zhao, Weitai Kang, Terrence Chen, Yan Yan, Ziyan Wu
    [Paper] [Project]
  4. CIF CVPR 2026
    Consistent Instance Field for Dynamic Scene Understanding
    Junyi Wu, Van Nguyen Nguyen, Benjamin Planche, Jiachen Tao, Changchang Sun, Zhongpai Gao, Zhenghao Zhao, Anwesa Choudhuri, Gengyu Zhang, Meng Zheng, Feiran Wang, Terrence Chen, Yan Yan, Ziyan Wu
    [Paper] [Project]
  5. CogniMap3D ICLR 2026
    CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval
    Feiran Wang, Junyi Wu, Dawen Cai, Yuan Hong, Yan Yan
    [Paper] [Code]
  6. XField NeurIPS 2025 (Spotlight)
    X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction
    Feiran Wang*, Jiachen Tao*, Junyi Wu*, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan
    [Paper] [Code] [Project]
  7. OriGS NeurIPS 2025
    Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
    Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
    [Paper] [Code]
  8. VLDD NeurIPS 2025
    Efficient Multimodal Dataset Distillation via Generative Models
    Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
    [Paper] [Code]
  9. att ACMMM 2025
    AttBalance: Visual Grounding with Attention-Driven Constraint Balancing
    Weitai Kang, Luowei Zhou, Junyi Wu, Changchang Sun, Yan Yan
    [Paper]
  10. Quest ICCV 2025
    QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
    Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan
    [Paper] [Code]
  11. CaO2 ICCV 2025
    CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
    Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
    [Paper] [Code]
  12. PTQ4DiT NeurIPS 2024
    PTQ4DiT: Post-training Quantization for Diffusion Transformers
    Junyi Wu*, Haoxuan Wang*, Yuzhang Shang, Mubarak Shah, Yan Yan
    [Paper] [Code]
  13. DQAS ECCV 2024
    Dataset Quantization with Active Learning based Adaptive Sampling
    Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
    [Paper] [Code]
  14. SaCo CVPR 2024
    On the Faithfulness of Vision Transformer Explanations
    Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan
    [Paper] [Code]
  15. TokenTM CVPR 2024
    Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
    Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan
    [Paper]

    16. Teaching

    Guest Instructor, CS 594: Energy-Efficient Deep Learning, University of Illinois Chicago Guest Instructor, CS 577: Deep Learning, Illinois Institute of Technology

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