Chen Wang

28 papers A* 3A 7B 4Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 B conf
Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction.
IEEE Big Data
Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Philip S. Yu
2025 — conf
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
WWW (Companion Volume)
Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2025 — conf
Training Large Recommendation Models via Graph-Language Tokens Alignment.
WWW (Companion Volume)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024 A conf
Collaborative Alignment for Recommendation.
CIKM
Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024 J jnl
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.
CoRR
Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024 A* conf
Instruction-based Hypergraph Pretraining.
SIGIR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024 J jnl
Instruction-based Hypergraph Pretraining.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024 A conf
Knowledge Graph Context-Enhanced Diversified Recommendation.
WSDM
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2024 A* conf
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation.
KDD
Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
2024 A conf
Unified Pretraining for Recommendation via Task Hypergraphs.
WSDM
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.
CoRR
Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2023 A conf
Graph-based Alignment and Uniformity for Recommendation.
CIKM
Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023 J jnl
Graph-based Alignment and Uniformity for Recommendation.
CoRR
Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023 A conf
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
CIKM
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 B conf
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
IEEE Big Data
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023 J jnl
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
CoRR
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023 J jnl
Knowledge Graph Context-Enhanced Diversified Recommendation.
CoRR
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2023 B conf
Multi-View Graph Convolution for Participant Recommendation.
IEEE Big Data
Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
2023 A conf
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
RecSys
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023 J jnl
Multi-view Graph Convolution for Participant Recommendation.
CoRR
Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
2023 A conf
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
WSDM
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023 J jnl
Unified Pretraining for Recommendation via Task Hypergraphs.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2022 A* conf
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
WWW
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022 J jnl
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
CoRR
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2022 B conf
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
IEEE Big Data
Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2021 — conf
Deep Fraud Detection on Non-attributed Graph.
IEEE BigData
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021 — conf
Pre-training Graph Neural Network for Cross Domain Recommendation.
CogMI
Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu