ICE: Item Concept Embedding via Textual Information. - Chuan-Ju Wang; Ting-Hsiang Wang; Hsiu-Wei Yang; Bo-Sin Chang; Ming-Feng Tsai (SIGIR, 2017)

Superhighway: Bypass Data Sparsity in Cross-Domain CF. - Kwei-Herng Lai; Ting-Hsiang Wang; Heng-Yu Chi; Yian Chen; Ming-Feng Tsai; Chuan-Ju Wang (CoRR, 2018)

SMORe: modularize graph embedding for recommendation. - Chih-Ming Chen 003; Ting-Hsiang Wang; Chuan-Ju Wang; Ming-Feng Tsai (RecSys, 2019)

Detecting Interactions from Neural Networks via Topological Analysis. - Zirui Liu 001; Qingquan Song; Kaixiong Zhou; Ting-Hsiang Wang; Ying Shan; Xia Hu 001 (NeurIPS, 2020)

AutoRec: An Automated Recommender System. - Ting-Hsiang Wang; Xia Hu 001; Haifeng Jin; Qingquan Song; Xiaotian Han; Zirui Liu 001 (RecSys, 2020)

Towards Interaction Detection Using Topological Analysis on Neural Networks. - Zirui Liu 001; Qingquan Song; Kaixiong Zhou; Ting-Hsiang Wang; Ying Shan; Xia Hu 001 (CoRR, 2020)

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. - Zirui Liu 001; Haifeng Jin; Ting-Hsiang Wang; Kaixiong Zhou; Xia Hu 001 (ICCV, 2021)

Item Concept Network: Towards Concept-Based Item Representation Learning. - Ting-Hsiang Wang; Hsiu-Wei Yang; Chih-Ming Chen 003; Ming-Feng Tsai; Chuan-Ju Wang (IEEE Trans. Knowl. Data Eng., 2022)

Marginal Nodes Matter: Towards Structure Fairness in Graphs. - Xiaotian Han; Kaixiong Zhou; Ting-Hsiang Wang; Jundong Li; Fei Wang 062; Na Zou 001 (SIGKDD Explor., 2023)