I am a third-year Ph.D. student in the Department of Computer Science, University of Wisconsin-Madison, advised by Professor Yin Li.

I obtained a Master of Science in Computer Science at the University of Southern California, advised by Professor Ram Nevatia. Before that, I received my bachelor’s degree at Sun Yat-sen University.

My research lies in Computer Vision and Machine Learning. I am particularly interested in Omni-Perception, Visual-Textual Reasoning, Video Understanding.

Selected Publications

PAVE: Patching and Adapting Video Large Language Models

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025).

Zhuoming Liu, Yiquan Li, Khoi Duc Nguyen, Yiwu Zhong, Yin Li

Paper | Code

START: Spatial and Textual Learning for Chart Understanding

The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 2026).

Zhuoming Liu, Xiaofeng Gao, Feiyang Niu, Qiaozi Gao, Liu Liu, Robinson Piramuthu

Paper | Code

AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning

The IEEE/CVF International Conference on Computer Vision 2025 (ICCV 2025).

Yiwu Zhong, Zhuoming Liu, Yin Li, Liwei Wang

Paper | Code

Experience

1. [2024.05-Now] Research assistant at University of Wisconsin-Madison, advised by Professor Yin Li.
2. [2025.05-2025.08] Applied Research Scientist Intern at Amazon AGI, worked with Dr. Robinson Piramuthu and Xiaofeng Gao.
3. [2021.12-2023.05] Research assistant at USC IRIS computer vision Lab, advised by Professor Ram Nevatia.
4. [2020.08-2021.07] Research intern at SenseTime Research, worked with Huaping Zhong, Dr. Conghui He and Professor Jifeng Dai.