A Cross-Domain Recommender System Based on Common-Sense Knowledge Bases. - Yi-Ting Tsai; Chih-Shiang Wu; Hsiang-Ling Hsu; Tenniel Liu; Pei-Lin Chen; Wen-Hao Chen; Keng-Te Liao 001 (TAAI, 2017)

Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. - Hong-You Chen; Cheng-Syuan Lee; Keng-Te Liao 001; Shou-de Lin (EMNLP, 2018)

Explainable and Sparse Representations of Academic Articles for Knowledge Exploration. - Keng-Te Liao 001; Zhihong Shen; Chiyuan Huang; Chieh-Han Wu; Po-Chun Chen; Kuansan Wang; Shou-de Lin (COLING, 2020)

Explaining Word Embeddings via Disentangled Representation. - Keng-Te Liao 001; Cheng-Syuan Lee; Zhong-Yu Huang; Shou-de Lin (AACL/IJCNLP, 2020)

Environment Diversification with Multi-head Neural Network for Invariant Learning. - Bo-Wei Huang; Keng-Te Liao 001; Chang-Sheng Kao; Shou-De Lin (NeurIPS, 2022)

Bayesian mixture variational autoencoders for multi-modal learning. - Keng-Te Liao 001; Bo-Wei Huang; Chih-Chun Yang 004; Shou-De Lin (Mach. Learn., 2022)

Enhance the Robustness of Text-Centric Multimodal Alignments. - Ting-Yu Yen; Yun-Da Tsai; Keng-Te Liao 001; Shou-De Lin (CoRR, 2024)

Think or Remember? Detecting and Directing LLMs Towards Memorization or Generalization. - Yi-Fu Fu; Yu-Chieh Tu; Tzu-Ling Cheng; Cheng-Yu Lin; Yi-Ting Yang; Heng-Yi Liu; Keng-Te Liao 001; Da-Cheng Juan; Shou-De Lin (CoRR, 2024)

Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting. - Yun-Da Tsai; Ting-Yu Yen; Keng-Te Liao 001; Shou-De Lin (AAAI, 2025)

Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation. - Yi-Fu Fu; Keng-Te Liao 001; Shou-De Lin (CoRR, 2025)