Licheng Zong @ CUHK

Licheng Zong (宗理成)

I am a forth-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.

Now I'm a Visiting Predoctoral Fellow at Finn Group of EMBL's European Bioinformatics Institute (EMBL-EBI) and Wolfson College of University of Cambridge, working with Dr. Jiawei Wang and Dr. Robert Finn.

Email: zolich729ATgmail.com

Google Scholar / GitHub / DBLP / ORCID

News

[Sep. 2024] SeRTS accepted by EMNLP 2024.

[Sep. 2024] Oral Presentation at the BioASQ workshop of CLEF 2024.

[Jun. 2024] Started visiting at EMBL-EBI and University of Cambridge.

[Jun. 2024] One paper accepted by BioASQ workshop of CLEF 2024.

[Apr. 2024] Won the Silver Poster Award at Advancing Health with AI by Nature Conferences.

[Feb. 2024] ProNet DB was accepted by Database.

Education

Ph.D. in Computer Science and Engineering	Aug. 2021-Now
Chinese University of Hong Kong \| Hong Kong SAR
Visiting Ph.D. student at Wolfson College	Jun. 2024-Now
Univeristy of Cambridge \| Cambridge
B.E. in Automation Science and Technology	Aug. 2017 - Jul. 2021
Xi'an Jiaotong University \| Xi'an, Shaanxi

Publications (*equal contribution, ^#corresponding)

9.	SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
	Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King Findings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)**, 2024 [Paper] \| [BIB]

8.	Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation
	Yichen Gao, Licheng Zong, Yu Li^# BioASQ Workshop of the Conference and Labs of the Evaluation Forum (CLEF)**, 2024 [Paper] \| [BIB]

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 Dec. 2024