Howard Chan Tsai HorPhD Student
Rm 205, Run Run Shaw Building |
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Biography
I am currently a PhD student at The University of Hong Kong, supervised by Prof. Lequan Yu and Prof. Guosheng Yin. My research lies at the intersection of artificial intelligence and statistics. Specifically, my research focuses on graph representation learning, Bayesian deep learning, medical images, and recommendation systems. I am dedicated to introducing statistical insights to modern deep learning algorithms, with a primary focus on Bayesian methods.
During my undergraduate studies in HKU, I was working as a research assistant supervised by Prof. Yan Dora Zhang and Prof. Guosheng Yin. I obtained my B.Sc degree in Actuarial Science (Second major in CS), The University of Hong Kong in 2020.
News
- [08/2024] One paper was accepted by Neural Networks.
- [07/2024] One paper was accepted by ECCV 2024.
- [01/2024] Become an Associate of the Society of Actuaries (ASA)
- [09/2023] One paper was accepted by NeurIPS 2023.
- [03/2023] One paper was accepted by CVPR 2023.
Experience
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TCL Corporate Research, Hong KongMay. 2021 – May. 2023
Research Intern
Topic: Recommendation System, Graph Neural Network
Advisor: Dr. Shen Jiajun
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The University of Hong KongJun. 2020 – Sep. 2021
Research Assistant
Topic: Statistical Genetics
Advisor: Prof. Yan Dora Zhang
Selected Publications [Google Scholar]
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* indicates equal contribution; † indicates corresponding authorship.
2024
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Multi-task Heterogeneous Graph Learning on Electronic Health Records
Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu†.
Neural Networks, 2024. -
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen*, Tsai Hor Chan*, Yuming Jiang, Guosheng Yin, Lequan Yu†.
European Conference on Computer Vision (ECCV), 2024.
2023
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Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu†.
Conference on Neural Information Processing Systems (NeurIPS), 2023. -
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Tsai Hor Chan*, Fernando Julio Cendra*, Lan Ma, Guosheng Yin, Lequan Yu†.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. -
Source-Aware Embedding Training on Heterogeneous Information Networks
Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin†.
Data Intelligence, 2023.
[code]
2022
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Multiethnic polygenic risk prediction in diverse populations through transfer learning
Peixin Tian, Tsai Hor Chan, Yong-Fei Wang, Wanling Yang, Guosheng Yin, Yan Dora Zhang†.
Frontiers in Genetics, 2022. -
How to organise travel restrictions in the new future: lessons from the COVID-19 response in Hong Kong and Singapore
Daoyuan Lai, Yuxi Cai, Tsai Hor Chan, Dailin Gan, Amber N Hurson, Yan Dora Zhang†.
BMJ Global Health, 2022.
Honors & Awards
| Associate of the Society of Actuaries (ASA) |
| Departmental Excellence Research Award, 2023 |
| Postgraduate Scholarship Award, 2021-2025 |
Professional Activities
International Conference on Learning Representations (ICLR 2025)
International Conference on Artificial Intelligence and Statistics (AISTATS 2025)
Conference on Neural Information Processing Systems (NeurIPS 24)
International Conference on Machine Learning (ICML 24)
Neural Networks
Pattern Recognition
Contemporary Clinical Trial
Statistics in Medicine
Medical Image Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Medical Imaging (TMI)
Data Intelligence
Teaching
| 2024 Fall | STAT4903 Actuarial Techniques for General Insurance |
| 2024 Spring | STAT3951 Advanced Topics in Contingencies |
| 2023 Fall | STAT4903 Actuarial Techniques for General Insurance |
| 2023 Spring | STAT3909 Advanced Life Contingencies |
| 2022 Fall | STAT4903 Actuarial Techniques for General Insurance |
| 2022 Spring | STAT3909 Advanced Life Contingencies |
| 2021 Fall | STAT3956 Pension Mathematics |
