Deep Fraud Detection on Non-attributed Graph. - Chen Wang 052; Yingtong Dou; Min Chen; Jia Chen; Zhiwei Liu 001; Philip S. Yu (IEEE BigData, 2021)

Pre-training Graph Neural Network for Cross Domain Recommendation. - Chen Wang 052; Yueqing Liang; Zhiwei Liu 001; Tao Zhang 055; Philip S. Yu (CogMI, 2021)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 052; Peijie Huang; Hao Peng 001; Philip S. Yu (IEEE Big Data, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 052; Ziwei Fan 001; Philip S. Yu (WWW, 2022)

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Xiaohan Li 001; Mingdai Yang; Chen Wang 052; Philip S. Yu (IEEE Big Data, 2023)

Multi-View Graph Convolution for Participant Recommendation. - Xiaolong Liu; Liangwei Yang; Chen Wang 052; Mingdai Yang; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2023)

Graph-based Alignment and Uniformity for Recommendation. - Liangwei Yang; Zhiwei Liu 001; Chen Wang 052; Mingdai Yang; Xiaolong Liu; Jing Ma 004; Philip S. Yu (CIKM, 2023)

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (CIKM, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 052; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (RecSys, 2023)

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2023)

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CoRR, 2023)

Collaborative Alignment for Recommendation. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CIKM, 2024)

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. - Chen Wang 052; Ziwei Fan 001; Liangwei Yang; Mingdai Yang; Xiaolong Liu; Zhiwei Liu 001; Philip S. Yu (KDD, 2024)

Instruction-based Hypergraph Pretraining. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (SIGIR, 2024)

Knowledge Graph Context-Enhanced Diversified Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Mingdai Yang; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Unified Pretraining for Recommendation via Task Hypergraphs. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. - Yuwei Cao; Liangwei Yang; Zhiwei Liu 001; Yuqing Liu 003; Chen Wang 052; Yueqing Liang; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Training Large Recommendation Models via Graph-Language Tokens Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)