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Haiqing Li
I am a second-year PhD student in Computer Science at the University of Texas at Arlington, advised by Prof. Junzhou Huang. I received my M.S. from Beijing University of Civil Engineering and Architecture, advised by Prof. Caiyong Wang.
📢 News: 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. With a track record of bridging CV and NLP, I am eager to contribute to cutting-edge AI research. 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
đź“š Publications
2026 (Selected Preprints & Conference)
- 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.” The 40th AAAI Conference on Artificial Intelligence (AAAI), 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." International Conference on Medical Image Computing and Computer-Assisted Intervention (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." International Conference on Medical Image Computing and Computer-Assisted Intervention (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 preprint 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 preprint arXiv:2504.03894, 2025.
2024
- T-BIOM'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 Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2024.
- 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." IEEE International Joint Conference on Biometrics (IJCB), 2023. (Best Student Paper Award)
- NCAA'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 Computing and Applications, 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." IEEE International Joint Conference on Biometrics (IJCB), 2023.
đź’Ľ 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.
- Outcome: This work led to the development of “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 mechanisms against sophisticated spoofing attempts.
🎓 Education
- Ph.D. in Computer Science, University of Texas at Arlington, Sept 2024–present.
- M.Eng. in Mechanical Engineering, BUCEA, Sept 2021–Jun 2024 (GPA 89.82/100, top 10%).
- B.E. in Electrical Engineering, 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, Jun 2023.
- National Second Prize & National Third Prize, 22nd China Robotics and Artificial Intelligence Competition, CAAI, Jul 2020.
- Honorable Mention, Mathematical Contest in Modeling (MCM/ICM), COMAP, Apr 2020.
- Finalist, Academy Award of China Advertising Art Festival for College Students, Mar 2020.
- First Prize, National Preliminary Competition of Siemens Cup China Intelligent Manufacturing Challenge, Jul 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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