Ming-Yi Hong

According to our database, Ming-Yi Hong authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference.

Chu-Chun Yu, Ming-Yi Hong, Miao-Chen Chiang, Min-Chen Hsieh, Che Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HINPool: A Unified Heterogeneous Graph Pooling Framework for Accurate Molecular and Protein Property Prediction.

Ming-Yi Hong, You-Chen Teng, Shao-En Lin, Chih-Yu Wang, Che Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

THeGAU: Type-Aware Heterogeneous Graph Autoencoder and Augmentation.

Ming-Yi Hong, Miao-Chen Chiang, Youchen Teng, Yu-Hsiang Wang, Chih-Yu Wang, Che Lin

CoRR, December, 2025

Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information.

Berke Ugurlu, Ming-Yi Hong, Che Lin

CoRR, January, 2025

BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models.

Shao-En Lin, Brian Liu, Miao-Chen Chiang, Ming-Yi Hong, Yu-Shiang Huang, Chuan-Ju Wang, Che Lin

Proceedings of the ACM on Web Conference 2025, 2025

MTSTRec: Multimodal Time-Aligned Shared Token Recommender.

Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang, Che Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

SynHIN: Generating Synthetic Heterogeneous Information Network for Explainable AI.

Ming-Yi Hong, Yi-Hsiang Huang, You-Chen Teng, Chih-Yu Wang, Che Lin

CoRR, 2024

Push4Rec: Temporal and Contextual Trend-Aware Transformer Push Notification Recommender.

Chu-Chun Yu, Ming-Yi Hong, Chiok-Yew Ho, Che Lin

Proceedings of the IEEE International Conference on Acoustics, 2024

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, Che Lin, Chih-Yu Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling.

Hung Chun Hsu, Bo-Jun Wu, Ming-Yi Hong, Che Lin, Chih-Yu Wang

CoRR, 2023

TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks?

Ming-Yi Hong, Shih-Yen Chang, Hao-Wei Hsu, Yi-Hsiang Huang, Chih-Yu Wang, Che Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

GenEpi: gene-based epistasis discovery using machine learning.

Yu-Chuan Chang, June-Tai Wu, Ming-Yi Hong, Yi-An Tung, Ping-Han Hsieh, Sook Wah Yee, Kathleen M. Giacomini, Yen-Jen Oyang, Chien-Yu Chen

BMC Bioinform., 2020