Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. - Chunyang Wang 001; Yanmin Zhu 006; Haobing Liu 001; Wenze Ma; Tianzi Zang; Jiadi Yu (CIKM, 2021)

Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. - Chunyang Wang 001; Yanmin Zhu 006; Tianzi Zang; Haobing Liu 001; Jiadi Yu (WSDM, 2021)

Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. - Ke Wang 038; Yanmin Zhu 006; Haobing Liu 001; Tianzi Zang; Chunyang Wang 001; Kuan Liu (DASFAA (2), 2022)

Learning Graph-based Disentangled Representations for Next POI Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Haobing Liu 001; Chunyang Wang 001 (SIGIR, 2022)

Deep Meta-learning in Recommendation Systems: A Survey. - Chunyang Wang 001; Yanmin Zhu 006; Haobing Liu 001; Tianzi Zang; Jiadi Yu; Feilong Tang (CoRR, 2022)

Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Qiaomei Zhang; Haobing Liu 001; Chunyang Wang 001; Tong Liu 001 (ACM Trans. Knowl. Discov. Data, 2022)

Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. - Xuhao Zhao; Yanmin Zhu 006; Chunyang Wang 001; Mengyuan Jing; Jiadi Yu; Feilong Tang (CIKM, 2023)

Disentangled Contrastive Learning for Cross-Domain Recommendation. - Ruohan Zhang; Tianzi Zang; Yanmin Zhu 006; Chunyang Wang 001; Ke Wang 038; Jiadi Yu (DASFAA (2), 2023)

A Preference Learning Decoupling Framework for User Cold-Start Recommendation. - Chunyang Wang 001; Yanmin Zhu 006; Aixin Sun; Zhaobo Wang; Ke Wang 038 (SIGIR, 2023)

Adaptive Graph Representation Learning for Next POI Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Chunyang Wang 001; Wenze Ma; Bo Li 001; Jiadi Yu (SIGIR, 2023)

Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation. - Ke Wang 038; Yanmin Zhu 006; Haobing Liu 001; Tianzi Zang; Chunyang Wang 001 (ACM Trans. Knowl. Discov. Data, 2023)

Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. - Haobing Liu 001; Yanmin Zhu 006; Chunyang Wang 001; Jianyu Ding; Jiadi Yu; Feilong Tang (IEEE Trans. Big Data, 2023)

Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. - Mengyuan Jing; Yanmin Zhu 006; Yanan Xu; Haobing Liu 001; Tianzi Zang; Chunyang Wang 001; Jiadi Yu (ACM Trans. Knowl. Discov. Data, 2023)

Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation. - Chunyang Wang 001; Yanmin Zhu 006; Haobing Liu 001; Tianzi Zang; Ke Wang 038; Jiadi Yu (ACM Trans. Knowl. Discov. Data, 2023)

Review-Enhanced Hierarchical Contrastive Learning for Recommendation. - Ke Wang 038; Yanmin Zhu 006; Tianzi Zang; Chunyang Wang 001; Mengyuan Jing (AAAI, 2024)

Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation. - Yuexian Wang; Wenze Ma; Yanmin Zhu 006; Chunyang Wang 001; Zhaobo Wang; Feilong Tang; Jiadi Yu (DASFAA (6), 2024)

Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. - Ke Wang 038; Yanmin Zhu 006; Tianzi Zang; Chunyang Wang 001; Kuan Liu; Peibo Ma (ACM Trans. Inf. Syst., 2024)

Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. - Tianzi Zang; Yanmin Zhu 006; Ruohan Zhang; Chunyang Wang 001; Ke Wang 038; Jiadi Yu (ACM Trans. Inf. Syst., 2024)

Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction. - Xinyi Zhang; Yanmin Zhu 006; Chunyang Wang 001; Jian Cao 001; Yirong Chen; Jie Wang 006 (CCF Trans. Pervasive Comput. Interact., 2024)

Graph Diffusion-Based Representation Learning for Sequential Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Chunyang Wang 001; Xuhao Zhao; Bo Li 001; Jiadi Yu; Feilong Tang (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Agent Deep Reinforcement Learning With Trajectory Prediction for Task Migration-Assisted Computation Offloading. - Xinyi Zhang; Chunyang Wang 001; Yanmin Zhu 006; Jian Cao 001; Tong Liu 001 (IEEE Trans. Mob. Comput., 2025)