Biography

I am an applied scientist at Amazon. I received my Ph.D in Computer Science and Engineering at the UT Arlington in 2026. My PhD advisor is Prof. Junzhou Huang. I received my B.S. in Computer Science and Technology from Jilin University in 2021.

Research

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

Recent Publications

1. Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Hehuan Ma, Saiyang Na, Yuzhi Guo, Junzhou Huang, "Histopathology Multi-modal Embedding for Pathology Composed Retrieval", ECCV 2026


2. Haiqing Li, Wenliang Zhong, Yinhao Wu, Hehuan Ma, Yuzhi Guo, Thao M. Dang, Junzhou Huang, "Guidelines as Environments: A World Model Approach to Rule Following", ACL 2026


3. Wenliang Zhong, Rob Barton, Lucas Goncalves, Kushal Kumar, Feng Jiang, Hehuan Ma, Yuzhi Guo, Vidit Bansal, Karim Bouyarmane, Junzhou Huang, "Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent", CVPR 2026


4. Saiyang Na, Feng Jiang, Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Chunyuan Li, Weizhi An, Junzhou Huang, "Hyperbolic Gramian Volumes for Multimodal Alignment", CVPR 2026


5. Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang, "Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks", AAAI 2026


6. 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


7. Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, and Junzhou Huang, "Compositional Image Retrieval via Instruction-Aware Contrastive Learning", Preprint 2025


8. 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


9. 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


10. 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

Industry Experience

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

Academic Services

• Reviewer in CVPR, ECCV, NeurIPS, ICLR, ICML, AAAI, TIP, Neurocomputing

Honors

• Outstanding reviewer (~ 5%) in CVPR 2026
• 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