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CHEN LEI (陈 磊)
Ph.D. Candidate
School of Computing and Data Science
The University of Hong Kong (HKU)

About Me (Curriculum Vitae)

Lei is now a last-year Ph.D. candidate with the School of Computing and Data Science at The University of Hong Kong (HKU) since Sep. 2022, supervised by Prof. Ruibang Luo.

Prior to that, he received his M.Eng. degree in Computer Technology at University of Chinese Academy of Sciences (UCAS) , also with the affiliation of Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT, CAS), supervised by Prof. Min Yang.

His research interests lie in AI for Science, Bioinformatics, Natural Language Processing, Recommender Systems, etc.

He was so fortunate to have research internships at Representation Learning Lab, Westlake University under the supervision of Prof. Fajie Yuan, and WXG, Tencent with the 2021 Tencent Rhino-Bird Research Elite Training Program.

Selected Publications (Full List)

ClairS-TO: a deep-learning method for long-read tumor-only somatic small variant calling
Lei Chen#, Zhenxian Zheng#, Junhao Su, Xian Yu, Angel On Ki Wong, Jingcheng Zhang, Yan-Lam Lee, and Ruibang Luo
Nature Communications, 2025
Journal JCR Q1
Paper
ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling
Zhenxian Zheng#, Lei Chen#, Junhao Su#, Xian Yu, Minggao He, Yan-Lam Lee, Tak-Wah Lam, and Ruibang Luo
Nature Methods, 2026
Journal JCR Q1
Paper
Gungnir codec enabling high error-tolerance and low-redundancy DNA storage through substantial computing power
Jingcheng Zhang#, Lei Chen#, Jinlin Sun#, Shumin Li, Yekai Zhou, Zhenqin Wu, Can Li, Zhenxian Zheng, and Ruibang Luo
Nature Communications, 2026
Journal JCR Q1
Paper
Clair3-RNA: A deep learning-based small variant caller for long-read RNA sequencing data
Zhenxian Zheng#, Xian Yu#, Lei Chen, Yan-Lam Lee, Cheng Xin, Angel On Ki Wong, Miten Jain, Rupesh K Kesharwani, Fritz J Sedlazeck, and Ruibang Luo
Nature Communications, 2025
Journal JCR Q1
Paper
Clair-Mosaic: A deep-learning method for long-read mosaic small variant calling
Lei Chen#, Zhenxian Zheng#, Minggao He, Angel On Ki Wong, Xian Yu, Junzhe Li, Jingcheng Zhang, Yekai Zhou, and Ruibang Luo
Submitted to Genome Research, 2026
Journal JCR Q1
Paper
Item-Provider Co-learning for Sequential Recommendation
Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, and Lingling Yi
SIGIR 2022
Conference CCF A
Paper
User-specific Adaptive Fine-tuning for Cross-domain Recommendations
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, and Min Yang
TKDE, 2021
Journal CCF A
Paper
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, and Min Yang
AAAI 2021
Conference CCF A
Paper
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li, and Jingtao Ding
WANT@NeurIPS Workshop, 2023
Conference
Paper
Large-scale Dataset and Effective Model for Variant-Disease Associations Extraction
Lei Chen, Junhao Su, Zhenxian Zheng, Tak-Wah Lam, and Ruibang Luo
ACM BCB, 2023
Conference
Paper
Exploring pair-aware triangular attention for biomedical relation extraction
Lei Chen, Junhao Su, Tak-Wah Lam, and Ruibang Luo
ACM BCB, 2023
Conference
Paper
Overview of the NLPCC 2020 Shared Task: Multi-Aspect-Based Multi-Sentiment Analysis (MAMS)
Lei Chen, Ruifeng Xu, and Min Yang
NLPCC 2020
Conference CCF C
Paper
Repun: an accurate small variant representation unification method for multiple sequencing platforms
Zhenxian Zheng#, Yingxuan Ren#, Lei Chen, Angel On Ki Wong, Shumin Li, Xian Yu, Tak-Wah Lam, and Ruibang Luo
Briefings in Bioinformatics, 2025
Journal JCR Q1
Paper
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning
Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, and Ying Shen
IJCAI 2019
Conference CCF A
Paper
A challenge dataset and effective models for aspect-based sentiment analysis
Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, and Min Yang
EMNLP 2019
Conference CCF B
Paper

Educational Experiences

Ph.D. in Computer Science
The University of Hong Kong (HKU), Hong Kong
Sep. 2022 - Aug. 2026
M.Eng. in Computer Technology
University of Chinese Academy of Sciences (UCAS), Mainland of China
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT, CAS)
Sep. 2019 - Jun. 2022
B.Eng. in Computer Science and Technology
China University of Mining and Technology (CUMT), Mainland of China
Sep. 2015 - Jun. 2019


Interning Experiences

Research Intern
WXG, Tencent
2021 Tencent Rhino-Bird Research Elite Training Program
Shenzhen, China
June. 2021 - June. 2022
Research Intern
Westlake University
Representation Learning Lab
Hangzhou, China
Apr. 2021 - Aug. 2021


Research Intern
SIAT, CAS
Shenzhen, China
Sept. 2018 - Aug. 2019


Academic Services

  • Teaching Assistant, HKU COMP2501 Introduction to Data Science, Head TA, 2022-2026.
  • Reviewer of NeurIPS, AAAI, ACL, EMNLP, COLING, Neurocomputing, Knowledge-based Systems, etc.
  • Organizer of NLPCC-2020 Shared Task: Multi-Aspect-based Multi-Sentiment Analysis (MAMS).
  • GIW XXXIV ISCB-Asia 2025 Volunteer, Volunteer of AAAI-2021 Student Volunteer Program.


    • Selected Awards

  • Shenzhen Universiade International Scholarship, 2022
  • Breakthrough Progress Award, 2021 Tencent Rhino-Bird Research Elite Training Program, 2022
  • Dean Scholarship-Special Award, 2022
  • Dean Scholarship-Excellent Award, 2021
  • National Scholarship, 2016
  • National Scholarship for Encouragement, 2018
  • The Zeng Xianzi Scholarship, 2016, 2017, 2018
  • The Sun Yueqi Excellent Student Award, 2017
  • Outstanding Graduate Thesis, 2022
  • Outstanding Graduates, 2019

    • Copyright © CHEN LEI 2022

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