Licheng Zong (宗理成)

I am a third-year Ph.D. candidate at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK-CSE), advised by Prof. Yu Li.

I obtained my Bachelor's degree from Xi'an Jiaotong University in 2021. Before that, I graduated from Hefei No.1 High School in 2014.

My research interests lie in AI for Science and AI in Healthcare. My goal is building awesome AI systems to improve human health from both biological and clinical perspectives.

Email: zolich729@gmail.com

Google Scholar  /  GitHub  /  DBLP  /  ORCID

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Education
Ph.D. in Computer Science and Engineering 2021-Now
Chinese University of Hong Kong | Hong Kong SAR
B.E. in Automation Science and Technology 2017-2021
Xi'an Jiaotong University | Xi'an, Shaanxi
Publications (*equal contribution, #corresponding)
7. ProNet DB: A proteome-wise database for protein surface property representations and RNA-binding profiles
Junkang Wei*, Siyuan Chen*, Jin Xiao*, Licheng Zong, Xin Gao#, Yu Li#
Database: The Journal of Biological Databases and Curation, 2024
[Paper] | [Web Server] | [BIB]

6. AcrNET: Predicting Anti-CRISPR with Deep Learning
Yunxiang Li*, Yumeng Wei*, Sheng Xu, Qingxiong Tan, Licheng Zong, Jiuming Wang, Yixuan Wang, Jiayang Chen, Liang Hong, Yu Li#
Bioinformatics, 2023
[Paper] | [Codes] | [Web Server] | [BIB]

5. Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
Jiayang Chen*, Zhihang Hu, Siqi Sun*#, Qingxiong Tan, Yixuan Wang, Qinze Yu, Licheng Zong, Liang Hong, Jin Xiao, Tao Shen, Irwin King, Yu Li#
ICML Workshop on Computational Biology, 2022
[Paper] | [Codes] | [Web Server] | [BIB]
Covered by [Synced (机器之心, in Chinese)]

4. Self-supervised contrastive learning for integrative single cell RNA-seq data analysis
Wenkai Han*, Yuqi Cheng*, Jiayang Chen*, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting Fung Chan, Irwin King, Xin Gao#, Yu Li#
Briefings in Bioinformatics, Volume 23, Issue 5, Sep 2022
[Paper] | [Codes] | [BIB]

3. Protein-RNA interaction prediction with deep learning: Structure matters
Junkang Wei*, Siyuan Chen*, Licheng Zong*, Xin Gao#, Yu Li#
Briefings in Bioinformatics, Volume 23, Issue 1, Jan 2022
[Paper] | [BIB]

2. HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
Qinze Yu, Zhihang Dong, Xingyu Fan, Licheng Zong, Yu Li#
arXiv Preprint, 2021
[Paper] | [BIB]

1. Model Adaption Object Detection System for Robot
Jingwen Fu, Licheng Zong, Yinbing Li, Ke Li, Bingqian Yang, Xibei Liu
39th Chinese Control Conference (CCC), 2020
[Paper] | [BIB]

Teaching
TA - AIST4010: Foundation of applied deep learning Spring 2024
TA - AIST4010: Foundation of applied deep learning Spring 2023
TA - AIST1000: Introduction to artificial intelligence and machine learning Fall 2022
TA - AIST4010: Foundation of applied deep learning Spring 2022
TA - BMEG3105: Data analytics for personalized genomics and precision medicine Fall 2021
Honors and Awards
Full Postgraduate Studentship | The Chinese Univeristy of Hong Kong 2021
Excellent Graduate | Xi'an Jiaotong University 2021
Excellent Student | Xi'an Jiaotong University 2018, 2019, 2020
First Prize | National College Robot Competition (ROBOCON) 2019
Meritorious Winner | MCM/ICM Contest in Modeling 2019

Updated Sep. 2023

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