Bo Li

Bo Li
Email: boom985426@gmail.com & 19919920960@163.com

About me

Hi! My name is Li Bo. I am a PhD student at University of Macau, where I am grateful to be advised by Prof. Bob Zhang and Prof. Qianqian Song. Before that, I received my master degree from Beijing University of Technology, advised by Prof. Yong Zhang and Prof. Baocai Yin. During this period, I interned for one year under the guidance of Prof. Bu Hong at West China Hospital.

Research Interests

I am broadly interested in the intersection area of Biomedical image analysis, Bioinformatics, and Graph Neural Network. My current research focuses on gene expression prediction and single-cell spatial transcriptomics. These include:

Biomedical Image Analysis: identify the location and number of cells in histology images.

Gene Expression Prediction: design high performance deep learning algorithms to predict gene expression from histology images.

Single-cell Spatial Transcriptomics: integrate scRNA-seq data and spatial data for single-cell spatial gene imputation.

Selected Publications	(All papers see Google Scholar)
	Gene Expression Prediction from Histology Images via Hypergraph Neural Networks Bo Li, Yong Zhang, Qing Wang, Chengyang Zhang, Mengran Li, Guangyu Wang, Qianqian Song Journal of Under Review, 2024 Code This paper proposes a novel histology image-based gene prediction model, which demonstrates high accuracy and robust performance. To reveal the intricate relationship between cell morphology and gene expression in images, we propose a gradient enhancement module, which effectively improves the model’s capability in perceiving cell morphology in images.
	Multi-scale hypergraph-based feature alignment network for cell localization Bo Li, Yong Zhang, Chengyang Zhang, Xinglin Piao, Yongli Hu, and Baocai Yin Journal of Pattern Recognition, 2024 PR Code This paper presents an innovative approach to address challenges arising from significant variations in cell shape, scale, and color. It reframes these challenges as a feature misalignment problem between cell images and location maps, offering a unified solution to these complexities.
	Exponential distance transform maps for cell localization Bo Li, Jie Chen, Hang Yi, Min Feng, Yongquan Yang, Qikui Zhu, and Hong Bu Journal of Engineering Applications of Artificial Intelligence, 2024 EAAI Code To solve the challenge that existing density maps lose cell location information in dense regions, a new exponential distance transform map is proposed, which can provide accurate cell location information with reasonable gradients.
	Lite-UNet: A lightweight and efficient network for cell localization Bo Li, Yong Zhang, Yunhan Ren, Chengyang Zhang, and Baocai Yin Journal of Engineering Applications of Artificial Intelligence, 2024 EAAI Code 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, Chengyang Zhang, Xinglin Piao, and Baocai Yin Journal of ACM Transactions on Multimedia Computing, Communications, and Applications, 2023 TOMM Code 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.
	Approaches on crowd counting and density estimation: a review Bo Li, Hongbo Huang, Ang Zhang, Peiwen Liu, and Cheng Liu Journal of Pattern Analysis and Applications, 2021 PAA Nearly 150+ articles were reviewed and organized from a problem-solving perspective, and their network structure was statistically analyzed.

Education

Beijing University of Technology (2021 - present) Master in Electronic Information Student Researcher at Beijing Institute of Artificial Intelligence Awards: National Scholarship (Top 1%); Xiaomi Scholarship (Top 5%); The First Prize Scholarship
Beijing Information Science & Technology University (2017 - 2021) Bachelor in Robotics Engineering Awards: Excellent Graduate of Beijing; The Second Prize of National Mathematics Competition

Industry Research Experiences

West China Hospital, Chengdu, China (May 2022 - July 2023)

Algorithm Intern: Biomedical Image Analysis

Academic Service

Reviewer: Briefings in Bioinformatics, BMC Biology, Engineering Applications of Artificial Intelligence, IET Image Processing.

Huge thanks for the website template from YueYANG1996.github.io.