I’m a fourth-year Ph.D. student at the Department of Computer Science, City University of Hong Kong, advised by Prof. Ka-Chun Wong. Before that, I received my bachelor’s degree from Wuhan University (major in MIS and minor in CS). I was a joint visiting student with Prof. Manolis Kellis and Prof. Marinka Zitnik at MIT and Harvard. My research interests include AIDD (AI for drug design), Bioinformatics, and BioNLP. I am going to join Prof. Luca Pinello’s lab as a postdoc in MGH and Harvard University. I am also a big fan of Real Madrid ⚽️.
I am looking for the faculty position starting from 2024 Fall. Please do not hesitate to contact me (lhuang93-c@my.cityu.edu.hk; layne_huang@outlook.com) if you are interested in my research.
A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets
Lei Huang, Tingyang Xu, Yang Yu, Peilin Zhao, Ka-Chun Wong, Hengtong Zhang
Nature Communications, Mar. 2024.
[Paper] [Code]
Enabling Single‐Cell Drug Response Annotations from Bulk RNA‐Seq Using SCAD
Zetian Zheng, Junyi Chen, Xingjian Chen, Lei Huang, Weidun Xie, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong
Advanced Science 2023, Jan. 2023.
[Paper] [Code]
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
AAAI 2023, Sep. 2022.
[Paper] [Code]
CoaDTI: Multi-modal co-attention based framework for drug-target interaction annotation
Lei Huang, Jiecong Lin, Rui Liu, Zetian Zheng, Lingkuan Meng, Xingjian Chen, Xiangtao Li, Ka-Chun Wong
Briefings in Bioinformatics, Sep. 2022.
[Paper] [Code]
Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Lingkuan Meng, Wai-Sum Chan, Lei Huang, Lingjing Liu, Xingjian Chen, Weitong Zhang, Fuzhou Wang, Ke Cheng, Hongyan Sun, Ka-Chun Wong
Computational and Structural Biotechnology Journal, Jun. 2022.
[Paper]
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models
Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song
International Joint Conference on Neural Networks, Apr. 2022.
[Paper] [Code]
SRG-vote: Predicting miRNA-gene relationships via embedding and LSTM ensemble
Weidun Xie, Zetian Zheng, Weitong Zhang, Lei Huang, Qiuzhen Lin, Ka-Chun Wong
IEEE Journal of Biomedical and Health Informatics, Apr. 2022.
[Paper] [Code]
Subclass-specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma
Zetian Zheng, Weidun Xie, Xingjian Chen, Fuzhou Wang, Lei Huang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
IEEE Journal of Biomedical and Health Informatics, Apr. 2022.
[Paper] [Code]
EGFI: drug–drug interaction extraction and generation with fusion of enriched entity and sentence information
Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Zetian Zheng, Ka-Chun Wong
Briefings in Bioinformatics, Nov. 2021.
[Paper] [Code]
High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning
Xiangtao Li, Shaochuan Li, Lei Huang, Shixiong Zhang, Ka-chun Wong
Briefings in Bioinformatics, Sep. 2021.
[Paper] [Code]
DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs
Jiecong Lin, Lei Huang, Xingjian Chen, Shixiong Zhang, Ka-Chun Wong
Briefings in Bioinformatics, Sep. 2021.
[Paper] [Code]
Metric Learning Based Vision Transformer for Product Matching
Lei Huang, Wei Shao, Fuzhou Wang, Weidun Xie, Ka-Chun Wong
International Conference on Neural Information Processing, Dec. 2021.
[Paper] [Code]
View analysis of personal information leakage and privacy protection in big data era—based on Q method
Lei Huang, Jingyi Zhou, Jiecong Lin, Shengli Deng
Aslib Journal of Information Management, Nov. 2021.
[Paper] [Code]
Department of Computer Science, CityU
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