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Junyi (Jeremy) Wu

Ph.D. Student
University of Illinois Chicago
jwu834@uic.edu wujunyi1206@outlook.com


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 3D Vision, Efficient Visual Generation, and Transformer Explainability.

I am actively exploring 2026 Summer Internship opportunities.

Publications [Google Scholar]

  1. 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]
  2. 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]
  3. VLDD NeurIPS 2025
    Efficient Multimodal Dataset Distillation via Generative Models
    Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
    [Paper] [Code]
  4. att ACMMM 2025
    AttBalance: Visual Grounding with Attention-Driven Constraint Balancing
    Weitai Kang, Luowei Zhou, Junyi Wu, Changchang Sun, Yan Yan
    [Paper]
  5. 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]
  6. 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]
  7. PTQ4DiT NeurIPS 2024
    PTQ4DiT: Post-training Quantization for Diffusion Transformers
    Junyi Wu*, Haoxuan Wang*, Yuzhang Shang, Mubarak Shah, Yan Yan
    [Paper] [Code]
  8. DQAS ECCV 2024
    Dataset Quantization with Active Learning based Adaptive Sampling
    Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
    [Paper] [Code]
  9. SaCo CVPR 2024
    On the Faithfulness of Vision Transformer Explanations
    Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan
    [Paper] [Code]
  10. 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]

    11. 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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