Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0001-6062-733X
Scopus Author ID: 35241044600
Impact
Qualifications (Brief)
BEng MPhil CUHK, PhD Toronto
Stanford's top 2% most highly cited scientists (2024 Sep, Version 7)
Stanford's top 2% most highly cited scientists (2023 Oct, Version 6)
Stanford's top 2% most highly cited scientists (2022 Nov, Version 5)
Biography
He obtained his PhD from Department of Computer Science at University of Toronto which is the department with both Nobel Prize and Turing Award for its contribution towards modern AI (deep learning).
Position(s) Available
We always have (self-financed/funded) positions available for graduate studies (PhD/Master) and postdoctoral fellows/scholars. Please send an email (with your CV and other supporting materials) to here if you are interested. Applicants who do not need any finanical support and volunteers are very welcomed (reference letters could be provided if solid works are done). Please put down "Ka-Chun Wong" as your potential supervisor in your applications; otherwise, your applications may not reach us. Thank you for your interest.
Research Interests/Areas
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Data Science
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Bioinformatics
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Evolutionary Computation
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Applied Machine Learning
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Natural Computing
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Computational Science
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Interdisciplinary Research
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High-Impact Computing
URLs/Links
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning
Yu, Z., Yang, Y., Chen, X., Wong, K.-C., Zhang, Z., Zhao, Y. & Li, X., 20 Jan 2025, In: Advanced Science. 12, 3, 2410081.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile1 Citation (Scopus)16 Downloads (CityUHK Scholars) -
CellLENS enables cross-domain information fusion for enhanced cell population delineation in single-cell spatial omics data
Zhu, B. (Co-first Author), Gao, S. (Co-first Author), Chen, S. (Co-first Author), Wang, Y., Yeung, J., Bai, Y., Huang, A. Y., Yeo, Y. Y., Liao, G., Mao, S., Jiang, Z. G., Rodig, S. J., Wong, K.-C., Shalek, A. K., Nolan, G. P., Jiang, S. & Ma, Z., Jun 2025, In: Nature Immunology. 26, p. 963-974Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings
Xie, W., Chen, X., Huang, L., Zheng, Z., Wang, Y., Zhang, R., Zhang, X., Liu, Z., Peng, C., Gullerova, M. & Wong, K.-C., Oct 2025, In: Artificial Intelligence in Medicine. 168, 103202.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Directed Link Prediction using GNN with Local and Global Feature Fusion
Zhang, Y., Shen, X., Xie, Y., Wong, K.-C., Xie, W. & Peng, C., Jan 2025, In: IEEE Transactions on Network Science and Engineering. 12, 1, p. 409-422 14 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis
Liu, R., Hu, Y., Wu, J., Wong, K.-C., Huang, Z.-A., Huang, Y.-A. & Tan, K. C., Mar 2025, In: IEEE Transactions on Cybernetics. 55, 3, p. 1121-1134Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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GRF: DNA Motif Knowledge Extraction and Distillation from Big Deep Learning Models in Regulatory Genomics
WONG, K. C. (Principal Investigator / Project Coordinator)
1/01/24 → …
Project: Research
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ITF: Vital Sign Capturing with rPPG: Software Development and Deployment
WONG, K. C. (Principal Investigator / Project Coordinator)
1/09/23 → …
Project: Research
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NSFC-GP-SRI: 基于空间转录组学大数据及多模态深度学习的疾病诊断算法研究
WONG, K. C. (Principal Investigator / Project Coordinator)
1/01/22 → …
Project: Research
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NSFC-YPC-SRI: 整合药物基因组学大数据以预测单细胞癌症药物治疗敏感度的迁移学习方法研究
WONG, K. C. (Principal Investigator / Project Coordinator)
1/01/21 → 31/12/23
Project: Research
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HMRF: Development of Big Data Tools for High-Throughput Sequencing Data with Applications to Colorectal Cancer Genomes
WONG, K. C. (Principal Investigator / Project Coordinator) & WANG, X. (Co-Investigator)
1/09/20 → 13/11/23
Project: Research
Prizes
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Stanford's top 2% most highly cited scientists 2024
WONG, K. C. (Recipient), Sept 2024
Prize: RGC 64B - Prizes and awards
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Stanford's top 2% most highly cited scientists 2023
WONG, K. C. (Recipient), Oct 2023
Prize: RGC 64B - Prizes and awards
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Stanford's top 2% most highly cited scientists 2022
WONG, K. C. (Recipient), Nov 2022
Prize: RGC 64B - Prizes and awards
Activities
- 14 RGC 61 - Journal editor
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IEEE Transactions on Computational Biology and Bioinformatics (Journal)
WONG, K. C. (Associate Editor)
2025 → …Activity: Publication peer-review and editorial work (RGC: 61) › RGC 61 - Journal editor
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IEEE Journal of Biomedical and Health Informatics (Journal)
WONG, K. C. (Associate Editor)
2025 → …Activity: Publication peer-review and editorial work (RGC: 61) › RGC 61 - Journal editor
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Computational and Structural Biotechnology Journal (Journal)
WONG, K. C. (Associate Editor)
2023 → …Activity: Publication peer-review and editorial work (RGC: 61) › RGC 61 - Journal editor
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Heliyon (Journal)
WONG, K. C. (Associate Editor)
2023 → …Activity: Publication peer-review and editorial work (RGC: 61) › RGC 61 - Journal editor
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Journal of Biomedical Informatics (Journal)
WONG, K. C. (Editorial Board Member)
2021 → …Activity: Publication peer-review and editorial work (RGC: 61) › RGC 61 - Journal editor