👦 About me

I received my Ph.D. from the School of Computer Science at Wuhan University in June 2026. During both my master’s and doctoral studies, I worked in Prof. Bo Du’s research group, I am currently continuing my research with Prof. Bo Du as a postdoctoral researcher at Wuhan University and am visiting Fudan University for academic collaboration. My research focuses on the intersection of artificial intelligence and life sciences, with particular interests in protein design, brain circuit analysis, and spatial transcriptomics. I am currently collaborating with some Life scientists. Moving forward, I will continue to pursue research in AI4Health, aiming to develop intelligent methods for biomedical data analysis, biological system modeling, and health-related applications. Please feel free to reach out to me anytime.

📖 Experience

2026.06 - Now, Fudan University, Ziyuan Yuan Lab, Visiting Scholar (Spatial transcriptome analysis, Neuroscience), Shanghai, China.
2026.06 - Now, Wuhan University, School of Computer Science, Postdoctoral Researcher, Wuhan, China.
2023.09 - 2026.06 (Now), Wuhan University, School of Computer Science, Ph.D. in Computer Science and Technology, Wuhan, China.
2024.06 - 2025.03, Westlake University, Longxing Cao Lab, Visiting Scholar (Protein Design), Hangzhou, China.
2020.09 - 2022.06, Wuhan University, School of Computer Science, Master of Science (M.S.) in Computer Science and Technology, Wuhan, China.
2019.09 - 2020.06, Wuhan University, Medical Research Institute, Graduate Study in Biological Sciences, Wuhan, China.
2014.09 - 2018.06, Hubei University of Technology, School of Bioengineering, Bachelor of Science (B.S.) in Biotechnology, Wuhan, China.

📳 Contact

微信： minghui_cs
邮箱：minghui@whu.edu.cn

📝 Publications

● Selected Works

Minghui Liao, Guojia Wan∗, Wenbin Hu∗, Bo Du. Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology. (Neural Networks 2025)

Minghui Liao, Guojia Wan*, Bo Du∗. Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification. (AAAI 2024)

● Others

Disentangled Information Asymmetry in Spatial High-dimensional Data Interpretation（TPAMI 2026）

Identifying glycolysis in mitochondria as a new perspective on the pathogenesis of retinitis pigmentosa. (Nature Communications 2026)

Isotropic Reconstruction of Anisotropic vEM Volumes with ViT-Guided Diffusion. (Electronics 2026)

Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference. (MICCAI 2025)

Self-supervised Contrastive Graph Views for Learning Neuron-Level Circuit Network. (MICCAI 2024)

💬 Invited Talk.

2025.10, National Doctoral Academic Forum – Bioinformatics Driven by Multi-omics Big Data and Artificial Intelligence. Hangzhou, China.
2024.02, AAAI Conference on Artificial Intelligence. Vancouver, Canada.