Haiqing Li

Haiqing Li

PhD student, SMILE Lab @ University of Texas at Arlington. LLM Alignment, Medical Image Analysis, and Biometrics.

Haiqing Li

I am a second-year PhD student in Computer Science at the University of Texas at Arlington, advised by Prof. Junzhou Huang in the SMILE Lab. I received my M.S. from Beijing University of Civil Engineering and Architecture, advised by Prof. Caiyong Wang. My current work focuses on LLM Rule-Following, Medical Image Analysis, and Biometrics.

I won the IJCB 2023 Best Student Paper Award and the 8th Sclera Segmentation and Recognition Benchmarking Competition (SSRBC 2023).

📢 I am actively seeking Summer/Fall 2026 Internships. My research focuses on LLM Rule-Following (World Models/Alignment), Multimodal Learning for Healthcare, and Secure Biometric Analysis. Please feel free to reach out!

Research Interests

  • LLM Rule-Following: World Model-based Alignment, Structured Prompt Optimization, and Guideline-driven Reasoning
  • Medical Image Analysis: Clinical-Guided Representation Learning and Multimodal Vision-Language Segmentation
  • Biometrics & Security: Robust Ocular Recognition and Multi-scenario Deepfake Forensics

Publications

2026

  • AAAI’26 Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, and Junzhou Huang. “Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks.” AAAI, 2026.
  • MIDL’26 Yinhao Wu, Hengrui Zhao, Haiqing Li, Wenliang Zhong, Hehuan Ma, Yuzhi Guo, Dan Nguyen, Daniel X Yang, Steve B Jiang, Junzhou Huang. “Guideline-Informed MLLM Reasoning for Pathology-Aware Post-Operative Prostate CTV Segmentation.” Medical Imaging with Deep Learning (MIDL), 2026.

2025

  • MICCAI’25 Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuawei Miao, Qifeng Zhou, Junzhou Huang. “HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics.” MICCAI, 2025.
  • MICCAI’25 Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Junzhou Huang. “Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis.” MICCAI, 2025.
  • arXiv Qifeng Zhou, Thao M. Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na, Haiqing Li, Junzhou Huang. “Mllm4pue: Toward Universal Embeddings in Digital Pathology through Multimodal LLMs.” arXiv:2502.07221, 2025.
  • arXiv Haiqing Li, Yuzhi Guo, Feng Jiang, Qiang Zhou, Hehuan Ma, Junzhou Huang. “Leveraging Gait Patterns as Biomarkers: An Attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification.” arXiv:2504.03894, 2025.

2024

  • TBIOM’24 Caiyong Wang, Haiqing Li (corresponding), Yi Zhang, Guangzhao Zhao, Yunlong Wang, and Zhenan Sun. “Sclera-TransFuse: Fusing Vision Transformer and CNN for Accurate Sclera Segmentation and Recognition.” IEEE TBIOM, 2024.
  • Electronics’24 Yixin Zhang, Caiyong Wang, Haiqing Li, Xianyun Sun, Qichuan Tian, and Guangzhe Zhao. “OcularSeg: Accurate and Efficient Multi-modal Ocular Segmentation in Non-constrained Scenarios.” Electronics, 13(10), 1967, 2024.

2023

  • IJCB’23 Haiqing Li, Caiyong Wang, Guangzhao Zhao, Zhenan He, Yunlong Wang, and Zhenan Sun. “Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation.” IJCB, 2023. 🏆 Best Student Paper Award
  • NCA’23 Caiyong Wang, Haiqing Li (co-first), Wang Ma, Guangzhao Zhao, and Zhenan He. “MetaScleraSeg: An Effective Meta-learning Framework for Generalized Sclera Segmentation.” Neural Comput. Appl., 2023.
  • IJCB’23 Abhijit Das, Shorena Atreya, Aritra Mukherjee, Matej Vitek, Haiqing Li, Caiyong Wang, Guangzhao Zhao, et al. “Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023.” IJCB, 2023.

Research Experience

Institute of Automation, Chinese Academy of Sciences (CASIA) — Beijing, China
Research Intern, advised by Prof. Yunlong Wang | Mar 2023 – Jul 2023

  • Researched multi-modal ocular recognition across iris, sclera, and periocular signals to enhance biometric robustness in unconstrained scenarios.
  • This work led to “Sclera-TransFuse,” which received the Best Student Paper Award at IJCB 2023.

Institute of Automation, Chinese Academy of Sciences (CASIA) — Beijing, China
Research Intern, advised by Prof. Xiangyu Zhu | Jul 2021 – Sep 2021

  • Developed Face Presentation Attack Detection (PAD) systems utilizing hybrid CNN and Transformer architectures.
  • Evaluated model performance on large-scale biometric datasets to improve defense against spoofing attacks.

Education

  • Ph.D. in Computer Science, University of Texas at Arlington, Sept 2024 – present
    Advisor: Prof. Junzhou Huang
  • M.Eng. in Mechanical Engineering, Beijing University of Civil Engineering and Architecture, Sept 2021 – Jun 2024
    GPA 89.82/100, top 10%
  • B.E. in Electrical Engineering and Automation, Chengdu Technological University, Sept 2017 – Jun 2021
    GPA 3.72/4.0, top 1%

Teaching Experience

  • CSE 1106: Introduction to Computer Science & Engineering (Spring 2026)
  • CSE 1106: Introduction to Computer Science & Engineering (Fall 2025)
  • CSE 3310: Fundamentals of Software Engineering (Summer 2025)
  • CSE 4322: Software Project Management (Spring 2025)

Honors & Awards

  • Best Student Paper Award, IEEE International Joint Conference on Biometrics (IJCB), 2023
  • Winner, 8th Sclera Segmentation and Recognition Benchmarking Competition (SSRBC 2023), IJCB, 2023
  • National 2nd & 3rd Prize, 22nd China Robotics and Artificial Intelligence Competition (CAAI), 2020
  • Honorable Mention, Mathematical Contest in Modeling (MCM/ICM), COMAP, 2020
  • Finalist, Academy Award of China Advertising Art Festival for College Students, 2020
  • First Prize, National Preliminary, Siemens Cup China Intelligent Manufacturing Challenge, 2019
  • Most Impactful Project, Chinese College Students’ Volunteer Activities for the Rural Revitalization, 2018

Academic Services

Conference Reviewer: MICCAI 2025–2026, AAAI 2026

Journal Reviewer: Expert Systems with Applications · Information Fusion · Knowledge-Based Systems · Neurocomputing · Optics and Laser Technology

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