• [10/2025] Started my new position as a Postdoctoral Researcher at the University of Pennsylvania.
• [10/2025] Obtained my PhD degree at the University of Hong Kong.
• [09/2025] Two papers were accepted by NeurIPS 2025.
• [06/2025] One paper was accepted by Neural Networks.
• [05/2025] One paper was accepted by TPAMI.
• [05/2025] One paper was accepted by ICML 2025.
• [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

• The University of Pennsylvania
  Oct. 2025 –
  
  Postdoctoral Researcher
  Topic: Causal Inference, Real World Data Analysis
  Advisor: Prof. Yong Chen
  
• The University of Pennsylvania
  Jan. 2025 – May. 2025
  
  Exchange Scholar
  Topic: Causal Inference, Real World Data Analysis
  Advisor: Prof. Yong Chen
  
• TCL Corporate Research, Hong Kong
  May. 2021 – May. 2023
  
  Research Intern
  Topic: Recommendation System, Graph Neural Network
  Advisor: Dr. Shen Jiajun
  
• The University of Hong Kong
  Jun. 2020 – Sep. 2021
  
  Research Assistant
  Topic: Statistical Genetics
  Advisor: Prof. Yan Dora Zhang
  

Selected Publications [Google Scholar]

* indicates equal contribution; ^† indicates corresponding authorship.

2025

• Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
  Tsai Hor Chan*, Feng Wu*, Yihang Chen, Guosheng Yin, Lequan Yu^†.
  Conference on Neural Information Processing Systems (NeurIPS), 2025.
  

• Variational Polya Tree
  Lu Xu*, Tsai Hor Chan*, Lequan Yu, Kwok Fai Lam, Guosheng Yin^†.
  Conference on Neural Information Processing Systems (NeurIPS), 2025.
  

• Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
  Yushi Feng*, Tsai Hor Chan*, Guosheng Yin, Lequan Yu^†.
  Neural Networks, 2025.
  

• Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
  Tsai Hor Chan*, Dora Yan Zhang, Guosheng Yin, Lequan Yu^†.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
  

• Cross-Modal Alignment via Variational Copula Modelling
  Feng Wu*, Tsai Hor Chan*, Fuying Wang, Guosheng Yin, Lequan Yu^†.
  International Conference on Machine Learning (ICML), 2025.
  

2024

• 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.
  

[paper] [code]

2023

• 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.
  

[paper] [code]

• 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.
  

[code]

• Source-Aware Embedding Training on Heterogeneous Information Networks
  Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin^†.
  Data Intelligence, 2023.
  

2022

• 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

Professional Activities

Teaching