GenEpi: gene-based epistasis discovery using machine learning. - Yu-Chuan Chang; June-Tai Wu; Ming-Yi Hong 002; Yi-An Tung; Ping-Han Hsieh; Sook Wah Yee; Kathleen M. Giacomini; Yen-Jen Oyang; Chien-Yu Chen 001 (BMC Bioinform., 2020)

TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks? - Ming-Yi Hong 002; Shih-Yen Chang; Hao-Wei Hsu; Yi-Hsiang Huang; Chih-Yu Wang 001; Che Lin (ICASSP, 2023)

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling. - Hung Chun Hsu; Bo-Jun Wu; Ming-Yi Hong 002; Che Lin; Chih-Yu Wang 001 (CoRR, 2023)

FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network. - Hung Chun Hsu; Ting-Le Lin; Bo-Jun Wu; Ming-Yi Hong 002; Che Lin; Chih-Yu Wang 001 (ICASSP, 2024)

Push4Rec: Temporal and Contextual Trend-Aware Transformer Push Notification Recommender. - Chu-Chun Yu; Ming-Yi Hong 002; Chiok-Yew Ho; Che Lin (ICASSP, 2024)

SynHIN: Generating Synthetic Heterogeneous Information Network for Explainable AI. - Ming-Yi Hong 002; Yi-Hsiang Huang; You-Chen Teng; Chih-Yu Wang 001; Che Lin (CoRR, 2024)

BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models. - Shao-En Lin; Brian Liu; Miao-Chen Chiang; Ming-Yi Hong 002; Yu-Shiang Huang; Chuan-Ju Wang; Che Lin (WWW, 2025)

Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information. - Berke Ugurlu; Ming-Yi Hong 002; Che Lin (CoRR, 2025)