SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings. - Tsai Hor Chan; Chi Ho Wong; Jiajun Shen; Guosheng Yin (ICKG, 2022)

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. - Tsai Hor Chan; Fernando Julio Cendra; Lan Ma; Guosheng Yin; Lequan Yu (CVPR, 2023)

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. - Tsai Hor Chan; Kin Wai Lau; Jiajun Shen; Guosheng Yin; Lequan Yu (NeurIPS, 2023)

Source-Aware Embedding Training on Heterogeneous Information Networks. - Tsai Hor Chan; Chi Ho Wong; Jiajun Shen; Guosheng Yin (Data Intell., 2023)

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. - Yihang Chen 001; Tsai Hor Chan; Guosheng Yin; Yuming Jiang 005; Lequan Yu (ECCV (54), 2024)

Multi-task heterogeneous graph learning on electronic health records. - Tsai Hor Chan; Guosheng Yin; Kyongtae Bae; Lequan Yu (Neural Networks, 2024)

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 Trans. Pattern Anal. Mach. Intell., 2025)