Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. - Wei-Wei Du; Wei-Yao Wang; Wen-Chih Peng (CIKM Workshops, 2022)

RecFormer: personalized temporal-aware transformer for fair music recommendation. - Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng (CIKM Workshops, 2022)

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media. - Wei-Yao Wang; Yu-Chien Tang; Wei-Wei Du; Wen-Chih Peng (LT-EDI, 2022)

DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. - Wei-Wei Du; Wei-Yao Wang; Wen-Chih Peng (CIKM, 2023)

Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. - Wei-Wei Du; Hong-Wei Wu; Wei-Yao Wang; Wen-Chih Peng (DE-FACTIFY@AAAI, 2023)

ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. - Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng (CoRR, 2023)

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. - Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng; Tsi-Ui Ik (IJCAI, 2024)

Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. - Chih-Chia Li; Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng (PKDD (4), 2024)

A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. - Wei-Yao Wang; Wei-Wei Du; Derek Xu; Wei Wang 010; Wen-Chih Peng (CoRR, 2024)

A survey on self-supervised learning for non-sequential tabular data. - Wei-Yao Wang; Wei-Wei Du; Derek Xu; Wei Wang; Wen-Chih Peng (Mach. Learn., 2025)

EXPRESS: An LLM-Generated Explainable Property Valuation System with Neighbor Imputation. - Wei-Wei Du; Yung-Chien Wang; Wen-Chih Peng (CoRR, 2025)

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation. - Wei-Wei Du; Takuma Udagawa; Kei Tateno (CoRR, 2025)