Wei-Wei Du - RankMe

18 papers A* 1A 2Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies. CoRR Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Wei-Wei Du, Yuta Saito
2025	J	`jnl`	A survey on self-supervised learning for non-sequential tabular data. Mach. Learn. Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng
2025	J	`jnl`	EXPRESS: An LLM-Generated Explainable Property Valuation System with Neighbor Imputation. CoRR Wei-Wei Du, Yung-Chien Wang, Wen-Chih Peng
2025	A	`conf`	Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation. RecSys Wei-Wei Du, Takuma Udagawa, Kei Tateno
2025	J	`jnl`	Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation. CoRR Wei-Wei Du, Takuma Udagawa, Kei Tateno
2024	J	`jnl`	A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. CoRR Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng
2024	A*	`conf`	Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. IJCAI Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, Tsi-Ui Ik
2024	—	`conf`	Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. PKDD (4) Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
2023	A	`conf`	DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. CIKM Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
2023	J	`jnl`	DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. CoRR Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
2023	J	`jnl`	ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. CoRR Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
2023	—	`conf`	Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. DE-FACTIFY@AAAI Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng
2023	J	`jnl`	Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. CoRR Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng
2022	J	`jnl`	Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. CoRR Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
2022	—	`conf`	NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media. LT-EDI Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du, Wen-Chih Peng
2022	—	`conf`	RecFormer: personalized temporal-aware transformer for fair music recommendation. CIKM Workshops Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
2022	—	`conf`	Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. CIKM Workshops Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
2022	J	`jnl`	Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. CoRR Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski