Hi, I’m Bo Li, a Ph.D. student at the University of Macau, supervised by Prof. Bob Zhang. My research is co-supervised by Prof. Qianqian Song from the University of Florida. My work sits at the intersection of AI for biomedicine and agent systems, with current interests in virtual cell, phenotypic drug discovery, biomedical knowledge retrieval, and related AI systems for data-driven biological discovery.
| 📫 How to reach me: yc47955@um.edu.mo | WeChat: Boom_5426 |
🔥 News
- 2026: 🎉🎉 happy everyday
📝 Selected Publications

PhenoProfiler: Advancing Morphology Representations for Image-based Drug Discovery
Bo Li, Bob Zhang, …, Qianqian Song
Nature Communications 2025
Abstract: Achieving end-to-end cell image encoding for the first time in Image-based Phenotypic Drug Discovery tasks, with performance comparable to non-end-to-end encoding while reducing inference time by approximately 40 times.

SpaIM: Single-cell Spatial Transcriptomics Imputation via Style Transfer
Bo Li, Ziyang Tang, …, Qianqian Song
Nature Communications 2025
Abstract: Predicting unmeasured gene expression in spatial transcriptomics (ST) using single-cell RNA sequencing (scRNA-seq) and achieving state-of-the-art (SOTA) performance in cross-modal imputation based on style transfer concepts.

Gene Expression Prediction from Histology Images via Hypergraph Neural Networks
Bo Li, Yong Zhang, …, Qianqian Song
Briefings in Bioinformatics 2024
Abstract: Constructing a hypergraph via Euclidean distance and adjacent position weighting to exploit local correlations in cell images, enabling gene expression prediction for cells in Whole Slide Image (WSI) pathology images.

Multi-scale Hypergraph-based Feature Alignment Network for Cell Localization
Bo Li, Yong Zhang, …, Baocai Yin
Pattern Recognition 2024
Abstract: Rethinking the cell localization task from the perspective of feature alignment for the first time and proposing a multi-scale hypergraph module that significantly improves accuracy by adaptively aggregating multi-level features.

Exponential Distance Transform Maps for Cell Localization
Bo Li, Jie Chen, …, and Hong Bu
Engineering Applications of Artificial Intelligence 2024
Abstract: To address the challenge of existing density maps losing cell location information in dense regions, a new exponential distance transform map is proposed to provide accurate cell location information with reasonable gradients.

Lite-UNet: A Lightweight and Efficient Network for Cell Localization
Bo Li, Yong Zhang, …, Baocai Yin
Engineering Applications of Artificial Intelligence 2024
Abstract: A lightweight and efficient cell localization model called Lite-UNet is proposed for quickly and accurately localizing cells in images to further improve the efficiency of computer-aided medicine.

Hypergraph Association Weakly Supervised Crowd Counting
Bo Li, Yong Zhang, …, Baocai Yin
ACM Transactions on Multimedia Computing, Communications and Applications 2023
Abstract: A novel hypergraph association module is proposed to solve the problem of uneven distribution of crowd density by encoding higher-order associations among features, which opens a new direction to solve this problem.
📖 Educations
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2024.08 – Present: University of Macau
- Ph.D. candidate of Computer Science, Full Scholarship, Supervisors: Prof. Bob Zhang, Prof. Qianqian Song
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2021.09 - 2024.07: Beijing University of Technology
- Master of Electronic Information, Supervisors: Prof. Yong Zhang, Prof. Baocai Yin
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2017.09 - 2021.07: Beijing Information Science & Technology University
- Bachelor of Robotics Engineering, Supervisors: Prof. Hongbo Huang
🎖 Honors and Awards
- 2024.07: Top 100 Graduates of BJUT (Top 100/6331)
- 2024.07 & 2021.07: Excellent Graduate of Beijing
- 2023.10: Xiaomi Scholarship
- 2023.10 & 2022.10:The First Prize Scholarship
- 2022.10: National Scholarship
- 2020.12: The Second Prize of National Mathematics Competition
💻 Work Experiences
- 2022.05 – 2023.06: Algorithm Intern: Biomedical Image Analysis, West China Hospital.
💼 Services
Reviewer: Science Advances, Briefings in Bioinformatics, BMC Biology, Engineering Applications of Artificial Intelligence, IET Image Processing.
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