CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

H. Li, Y. Guo, F. Jiang, T.M. Dang, H. Ma, Q. Zhou, J. Gao, J. Huang, “Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis,” MICCAI 2025.

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

T.M. Dang, H. Li, Y. Guo, H. Ma, F. Jiang, Y. Miao, Q. Zhou, J. Gao, J. Huang, “HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics,” MICCAI 2025.

Leveraging Gait Patterns as Biomarkers: An Attention-Guided Deep Multiple Instance Learning Network for Scoliosis Classification

H. Li, Y. Guo, F. Jiang, Q. Zhou, H. Ma, J. Huang, “Leveraging Gait Patterns as Biomarkers: An Attention-Guided Deep Multiple Instance Learning Network for Scoliosis Classification,” arXiv:2504.03894, 2025.

MLLM4PUE: Toward Universal Embeddings in Digital Pathology Through Multimodal LLMs

Q. Zhou, T.M. Dang, W. Zhong, Y. Guo, H. Ma, S. Na, H. Li, J. Huang, “MLLM4PUE: Toward Universal Embeddings in Digital Pathology Through Multimodal LLMs,” arXiv:2502.07221, 2025.

Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation and Recognition

C. Wang, H. Li*, G. Zhao, Z. He, Y. Wang, Z. Sun, “Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation and Recognition,” IEEE TBIOM, 2024.

OcularSeg: Accurate and Efficient Multi-Modal Ocular Segmentation in Non-Constrained Scenarios

Y. Zhang, C. Wang, H. Li, et al., “OcularSeg: Accurate and Efficient Multi-Modal Ocular Segmentation in Non-Constrained Scenarios,” Electronics, 2024.

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023

A. Das, S. Atreya, A. Mukherjee, M. Vitek, H. Li, et al., “Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023,” IJCB 2023.

Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation

H. Li, C. Wang, G. Zhao, Z. He, Y. Wang, Z. Sun, “Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation,” IJCB 2023. Best Student Paper Award.

MetaScleraSeg: An Effective Meta Learning Framework for Generalized Sclera Segmentation

H. Li (co-first), C. Wang, W. Ma, G. Zhao, Z. He, “MetaScleraSeg: An Effective Meta Learning Framework for Generalized Sclera Segmentation,” Neural Computing and Applications, 2023.

Research on Application of Computer Image Processing in Web Design

Y. Zheng, H. Li, A. Ren, “Research on Application of Computer Image Processing in Web Design,” IEEE ICPICS 2020, pp. 405-409, doi:10.1109/ICPICS50287.2020.9202235.

Inversion and Prediction of Ocean Resource Flow

H. Li, X. Gao, Y. Zhao, M. Xu, “Inversion and Prediction of Ocean Resource Flow,” Academic Journal of Environment & Earth Science, 2020.

Talks

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams