profile photo

Shuhong Zheng

I’m Shuhong Zheng and I’m now a final-year MSCS student at University of Illinois Urbana-Champaign (UIUC), supervised by Prof. Yu-Xiong Wang. Prior to that, I obtained my B.S. in computer science at Peking University (PKU), supervised by Prof. Jiaying Liu and worked as an intern student in STRUCT Team.

My research interests mainly focus on computer vision, with experiences in scene understanding, generative models and computational photography.

Email  /  CV  /  GitHub

3D-LLM: Injecting the 3D World into Large Language Models
Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, and Chuang Gan
Conference on Neural Information Processing Systems (NeurIPS), 2023
Multi-task View Synthesis with Neural Radiance Fields
Shuhong Zheng*, Zhipeng Bao*, Martial Hebert, and Yu-Xiong Wang
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Mingtong Zhang*, Shuhong Zheng*, Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
(First-Round Acceptance)

Winner of the Grand Challenge on IEEE International Workshop on Multimedia Signal Processing (MMSP), 2021. First Place on both IR (Image Restoration) track and IE (Image Editing) track, and the Final Winner of the MMSP 2021 Grand Challenge.
Teaching Experiences
Teaching Assistant, CS 543 - Computer Vision, UIUC, Fall 2023
Teaching Assistant, CS 445 - Computational Photography, UIUC, Spring 2023
Teaching Assistant, CS 361 - Probability and Statistics for Computer Science, UIUC, Fall 2022
Scholarships and Awards
Conference Presentation Award, University of Illinois Urbana-Champaign, 2023
Excellent Graduate, Peking University, 2022
Merit Student, Peking University, 2021
Peking University Scholarship (Third-Class), Peking University, 2021
Academic Excellence Award, Peking University, 2020
Academic Excellence Award, Peking University, 2019
Academic Services
Conference Reviewer: NeurIPS 2023, CVPR 2023, ICCV 2023

Design and source code from Jon Barron's website