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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Tue, 28 Oct 2025 19:11:36 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"69011568-561d" expires: Mon, 29 Dec 2025 13:36:58 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: A51E:2118F1:8CAFC5:9E0A6B:695281A2 accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 13:26:58 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210060-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767014818.381832,VS0,VE228 vary: Accept-Encoding x-fastly-request-id: 4de73fa567a3808ba0d055d1d290f7eba34d6b31 content-length: 5844 Junyi (Jeremy) Wu's Homepage

Publications Bio

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]

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]
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]
NeurIPS 2025

Efficient Multimodal Dataset Distillation via Generative Models

Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan

[Paper] [Code]
ACMMM 2025

AttBalance: Visual Grounding with Attention-Driven Constraint Balancing

Weitai Kang, Luowei Zhou, Junyi Wu, Changchang Sun, Yan Yan

[Paper]
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]
ICCV 2025

CaO₂: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan

[Paper] [Code]
NeurIPS 2024

PTQ4DiT: Post-training Quantization for Diffusion Transformers

Junyi Wu*, Haoxuan Wang*, Yuzhang Shang, Mubarak Shah, Yan Yan

[Paper] [Code]
ECCV 2024

Dataset Quantization with Active Learning based Adaptive Sampling

Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan

[Paper] [Code]
CVPR 2024

On the Faithfulness of Vision Transformer Explanations

Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan

[Paper] [Code]
CVPR 2024

Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer

Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan

[Paper]

Teaching

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