Wei-Wei Du

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Ischemic Stroke

Feature Representations

Supervised Learning

Top Venues

DE-FACTIFY@AAAI

Publications

Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. CoRR (2024)
Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. PKDD (4) (2024)
Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. DE-FACTIFY@AAAI (2023)
Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. CoRR (2023)
Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. CoRR (2023)
Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. CIKM (2023)
Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. CoRR (2023)
Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. CoRR (2022)
Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. CoRR (2022)
Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
RecFormer: personalized temporal-aware transformer for fair music recommendation. CIKM Workshops (2022)
Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du, Wen-Chih Peng
NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media. LT-EDI (2022)
Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. CIKM Workshops (2022)