Tsai Hor Chan

According to our database, Tsai Hor Chan authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

SIB-MIL: Sparsity-Induced Bayesian Neural Network for Robust Multiple Instance Learning on Whole Slide Image Analysis.

Yihang Chen, Tsai Hor Chan, Jianning Chen, Li Liang, Guosheng Yin, Lequan Yu

IEEE Trans. Medical Imaging, April, 2026

2025

Feature Preserving Shrinkage on Bayesian Neural Networks Via the R2D2 Prior.

Tsai Hor Chan, Dora Yan Zhang, Guosheng Yin, Lequan Yu

IEEE Trans. Pattern Anal. Mach. Intell., September, 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

Variational Pólya Tree.

Lu Xu, Tsai Hor Chan, Lequan Yu, Kwok Fai Lam, Guosheng Yin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process.

Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Cross-Modal Alignment via Variational Copula Modelling.

Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu

Proceedings of the Forty-second International Conference on Machine Learning, 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, Guosheng Yin, Yuming Jiang, Lequan Yu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Source-Aware Embedding Training on Heterogeneous Information Networks.

Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin

Data Intell., 2023

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations.

Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning.

Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings.

Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin

Proceedings of the IEEE International Conference on Knowledge Graph, 2022