Shankai Yan, Ph.D.

Affiliations: 
2015-2018 Computer Science City University of Hong Kong, Kowloon, Hong Kong 
Area:
Computational Biology, Biomedical Text Mining, Bioinformatics, Machine Learning
Website:
http://skyan.me
Google:
"Shankai Yan"
Bio:

Shankai received his Ph.D. degree in Department of Computer Science at City University of Hong Kong (4th in QS World University Ranking aged under 50 and 5th in Times University Ranking aged under 50) under the supervision of Dr. WONG Ka-Chun. After that, he was awarded the fellowship of NIH and worked as a Postdoctoral Fellow in Zhiyong Lu’s BioNLP Lab at NCBI/NLM/NIH. He is now an associate professor in School of Computer Science and Technology at Hainan University. He has published papers with interesting topics on top conference and journals (e.g. ACL(BioNLP), AMIA, Bioinformatics, FGCS, JBI and JBHI), demonstrating his solid research skills. His research is mainly about applied machine learning in biomedical and clinical fields. His goal is to facilitate knowledge discovery and decision making in healthcare research communities using AI technology.

Shankai has served as the guest editor for the special issue Generative AI in Computational Biology and Bioinformatics for Computational and Structural Biotechnology Journal. He has also served as the co-chair at ISMSI 2024, ISCMI 2024 and the session chair at IEEE UIC 2022, IEEE ICPADS 2023. He has been the program committee member of CACML, BIBM, ICCBB, ICONIP, ACL BioNLP Workshop, etc. He has served as the peer reviewer for multiple conferences (e.g. ACL, BIGCOM, ICONIP, BIBM, ICHI, DMBD, ISMSI, etc.) and journals (e.g. BIB, Bioinformatics, PlosCB, JAMIA, Database, JBI, CSBJ, IEEE TCBB, CAIS, TCSS, ASOC, FGCS, NCAA, etc.).
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Publications

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Liu Z, Wong HM, Chen X, et al. (2023) MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Computers in Biology and Medicine. 168: 107753
Chen Q, Lee K, Yan S, et al. (2020) BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale. Plos Computational Biology. 16: e1007617
Yan S, Wong KC. (2019) Context awareness and embedding for biomedical event extraction. Bioinformatics (Oxford, England)
Wong KC, Chen J, Zhang J, et al. (2019) Early Cancer Detection from Multianalyte Blood Test Results. Iscience. 15: 332-341
Yan S, Wong KC. (2019) GESgnExt: Gene Expression Signature Extraction and Meta-analysis on Gene Expression Omnibus. Ieee Journal of Biomedical and Health Informatics
Wong K, Zhang J, Yan S, et al. (2019) DNA Sequencing Technologies Acm Computing Surveys. 52: 1-30
Wong KC, Yan S, Lin Q, et al. (2018) Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. Ieee/Acm Transactions On Computational Biology and Bioinformatics
Chen J, Yan S, Wong K. (2018) Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis Neural Computing and Applications. 32: 10809-10818
Yan S, Wong KC. (2017) Elucidating high-dimensional cancer hallmark annotation via enriched ontology. Journal of Biomedical Informatics
Wong KC, Peng C, Yan S, et al. (2016) Probabilistic Inference on Multiple Normalized Genome-Wide Signal Profiles with Model Regularization. Ieee Transactions On Nanobioscience
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