Xingjian Chen - CityU - Homepage
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About Me

Xingjian Chen | 陈行健

I am currently a postdoctoral fellow co-mentored by Prof. Jian Shu at MGH & Harvard Medical School and Prof. Collin M. Stultz at MIT. Recently, I obtained my Ph.D. from City University of Hong Kong under the supervision of Prof. Ka-Chun Wong. Earlier this year, I was a research intern at Microsoft Research Asia & Microsoft Research AI4Science under the supervision of Dr. Pan Deng. I am interested in Machine Learning and Bioinformatics. My current research focuses on the development of multimodal deep learning algorithms for multi-omics data integration (especially on Spatial Transcriptomics and Metagenomics). I am also interested in Biomedical Imaging and BioNLP.

Before arriving at CityU, I received my Master's Degree at Nanjing Agricultural University under the supervision of Prof. Wei Xue. Prior to that, I majored in pure wet-lab-based biological sciences:)

Publications

• Chen X, Lin J, Wang Y, et al. HE2Gene: Image-to-RNA translation via multi-task learning for spatial transcriptomics data[J]. Bioinformatics, 2024, btae343.
• Chen X, Zhu Z, Zhang W, et al. Human disease prediction from microbiome data by multiple feature fusion and deep learning[J]. iScience, 2022, 25(4): 104081.
• Lin J, Huang L, Chen X, et al. DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs[J]. Briefings in Bioinformatics, 2022, 23(1): bbab334.
• Liu L, Chen X, Petinrin O O, et al. Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey[J]. Life, 2021, 11(7): 638.
• Wong H M, Chen X, Tam H H, et al. Feature Selection and Feature Extraction: Highlights[C]. 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence. 2021: 49-53.
• Chen X, Liu L, Zhang W, et al. Human Host Status Inference from Temporal Microbiome Changes via Recurrent Neural Networks[J]. Briefings in Bioinformatics, 2021, 22(6): bbab223.
• Liu L, Chen X, Wong K C. Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine[J]. Bioinformatics, 2021, 37(19): 3099-3105.
• Zhang W, Chen X, Wong K C. Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome[J]. Journal of Gastroenterology and Hepatology, 2021, 36(4): 823-831.
• Chen X, Wong K C. Epistasis Detection Based on Epi-GTBN[J]. Epistasis: Methods and Protocols, 2021: 325-335.
• Chen X, Hu X, Yi W, et al. Prediction of apoptosis protein subcellular localization with multilayer sparse coding and oversampling approach[J]. BioMed research international, 2019, 2436924.

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Teaching

Department of Computer Science, CityU
• CS4465 Computational Biology & Bioinformatics (Tutorial), Spring 2022 & Spring 2021
• CS5488 Big Data Algorithms and Techniques (Tutorial), Fall 2022 & Fall 2021 & Fall 2020
• CS4480 Data-Intensive Computing (Tutorial), Fall 2021 & Fall 2020
• CS2312 Problem Solving & Programming (Tutorial), Fall 2020 & Spring 2019

Awards

• Outstanding Academic Performance Award, CityU, 2022 & 2021
• Research Tuition Scholarship, CityU, 2021
• UGC-funded Postgraduate Studentship, CityU, 2019

Experience

• Apr 2024 - Present   Visiting Research Scholar, MIT
• Sep 2023 - Present   Postdoctoral Research Fellow, MGH & Harvard Medical School
• Jan 2023 - July 2023   Visiting Graduate Student, MGH & Harvard Medical School
• Apr 2022 - Feb 2023   Research Intern, Computational Biology Group, MSRA & MSR AI4Science
• Sep 2019 - Jan 2023   Teaching Assistant, Department of Computer Science, CityU
• Mar 2019 - Apr 2019   Intern Algorithm Engineer, Ping An Technology

Academic Services

Review Editor:
• Computational Genomics | Frontiers in Genetics
Reviewer:
• Briefings in Bioinformatics
• Plant Science
• Computer Modeling in Engineering & Sciences
• BioData Mining
• ICONIP
• ICIC
• ICSCA
• ICONIP
• ICIC
• BICOB
• APBC

© Last update date : 28 Sep 2023