于卓含

职称:助理教授,博士生导师

毕业院校:吉林大学

email:yuzhuohan@jlu.edu.cn

个人主页:https://philyzh8.github.io/

研究方向:生物信息学、深度学习、图表示学习

个人简介

    于卓含,吉林大学人工智能学院助理教授,博士生导师,师从李向涛教授。目前研究方向主要包括单细胞组学分析、空间组学计算、生物医学人工智能。在国内外知名期刊及会议Nature CommunicationsAdvanced ScienceBriefings in BioinformaticsAAAI等发表论文10余篇。主持国家自然科学基金青年学生基础研究项目1项,同时还担任Advanced ScienceGenome MedicineTKDE等期刊的审稿人。


 

 

工作经历

2026.07 - 至今,吉林大学人工智能学院,助理教授/副研究员

 

教育背景

2022.09 – 2026.06,吉林大学人工智能学院,计算机科学与技术,博士

2020.09 – 2022.06,吉林大学人工智能学院,计算机科学与技术,硕士

2016.09 – 2020.06,吉林大学数学学院,数学与应用数学,本科



 

科研项目

2024.05 - 2025.12,国家自然科学基金委,青年学生基础研究项目(博士研究生),面向空间转录组数据的深度图表征学习及可解释性研究,30万,主持


论文

1. Z. Yu, Y. Su, Y. Lu, F. Wang, S. Zhang, Y. Chang, K. Wong*, X. Li*, Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA, Nature Communications, 2023. (中科院一区,IF=18.9)

2. X. Zhang†, Z. Yu†, G. Hao, Q.Yao, X. Chen, L. Liu, Y. Hu, K. Wong, X. Li* , “Robust Characterization and Interpretation of Rare Pathogenic Cell Populations from Spatial Omics using GARDEN,” Nature Communications, 2026. (中科院一区,IF=18.9)

3. Z. Yu, Y. Yang, X. Chen, K. Wong, Z. Zhang, Y. Zhao*, X. Li*, Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning, Advanced Science, 2024. (中科院一区,IF=15.6)

4. Z. Yu, Y. Lu, Y. Wang, F. Tang, K. Wong, X. Li*, ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), 2021. (CCF-A, Oral)

5. Z. Yu, C. Bian, G. Liu, S. Zhang, K. Wong, X. Li*, Elucidating Transcriptomic Profiles from Single-cell RNA-seq Data using Nature-Inspired Compressed Sensing, Briefings in Bioinformatics, 2021.(中科院一区,IF=8.1)

6. G. Hao, Y. Fan, Z. Yu, Y. Su, H. Zhu, F. Wang, X. Chen, Y. Yang, G. Wang, K. Wong, X. Li*, Topological Identification and Interpretation for Single-cell Epigenetic Regulation Elucidation in Multi-tasks using scAGDE, Nature Communications, 2025. (中科院一区,IF=18.9)

7. Q. Qi, Y. Su, Y. Fan, Z. Yu, Y. Huang, K. Wong, X. Li*, scSuperAnnotator: a platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data, Nucleic Acids Research, 2025. (中科院一区,IF=17.8)

8. Y. Su, Z. Yu, Y. Yang, X. Li*, Distribution-agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation, Advanced Science, 2024. (中科院一区,IF=18.9)

9. Y. Zhang, Z. Yu, K. Wong, X. Li*, Unraveling Spatial Domain Characterization in Spatially Resolved Transcriptomics with Robust Graph Contrastive Clustering, Bioinformatics, 2024. (CCF-A,IF=7.5)

10. Y. Cheng, Y. Su, Z. Yu, Y. Liang, K. Wong, X. Li*, Unsupervised Deep Embedded Fusion Representation of Single-cell Transcriptomics, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2022. (CCF-A, Oral)




 

 

 

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