Biography

I am a fifth-year PhD student in Computer Science at the University of Texas at Arlington. My PhD advisor is Prof. Junzhou Huang. I received my B.S. in Computer Science and Technology from Jilin University.

Research

- Instruction-Aware Models
- Computer Vision
- Multimodal Learning
- Deep Graph Learning

Selected Publications

1. Wenliang Zhong, Rob Barton, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Abhishek Dan, Shioulin Sam, Karim Bouyarmane, Junzhou Huang, "Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation", ICCV 2025


2. Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, and Junzhou Huang, "Compositional Image Retrieval via Instruction-Aware Contrastive Learning", Preprint


3. Wenliang Zhong, Wenyi Wu, Qi Li, Rob Barton, Boxin Du, Karim Bouyarmane, Shioulin Sam, Ismail Tutar, and Junzhou Huang, "Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment", SIGIR workshop on Multimodal Representation and Retrieval 2024


4. Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma and Junzhou Huang, "Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks", ECCV 2024


5. Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, and Junzhou Huang, "PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning", MICCAI 2024


6. Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang, "MIVC: Multiple instance visual component for visual-language models", WACV 2024.


7. Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, and Junzhou Huang, "GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity", Briefings in Bioinformatics 2024.


8. Yucheng Shi*, Hehuan Ma*, Wenliang Zhong*, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang, "Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs", ICDM Workshop 2023


9. Wenliang Zhong, Hehuan Ma, Yu Rong, Yatao Bian, Long-Kai Huang, Yuzhi Guo, Peilin Zhao, Junzhou Huang, "CoSSL: A Context-based Semi-Supervised Framework for Molecular Property Prediction", ICML workshop on Computational Biology 2023

Industry Experience

• Applied Scientist Intern, Amazon.com; Summer 2023, 2024, 2025

Honors

• Outstanding undergraduate thesis in Jilin University (~ 5%), 2021
• Provincial First Prize in National College Student Mathematical Modeling Contest in China, 2019

Teaching

• CSE-6367 Computer Vision; Fall 2024, Spring 2023, Fall 2023
• CSE-6319 Game Theory; Spring 2024
• CSE-5311 Design and Analysis of Algorithms; Fall 2022
• CSE-5321 Software Testing; Spring 2022