Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. - Haobing Liu 001; Yanmin Zhu 006; Tianzi Zang; Jiadi Yu; Haibin Cai (CIKM, 2020)

Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks. - Haobing Liu 001; Yanmin Zhu 006; Yanan Xu (DASFAA (2), 2020)

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 Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions. - Tianzi Zang; Yanmin Zhu 006; Chen Gong; Haobing Liu 001; Bo Li 001 (DASFAA (1), 2021)

Efficient Feature Interactions Learning with Gated Attention Transformer. - Chao Long; Yanmin Zhu 006; Haobing Liu 001; Jiadi Yu (WISE (2), 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)

MPAN: Multi-parallel attention network for session-based recommendation. - Tianzi Zang; Yanmin Zhu 006; Jing Zhu; Yanan Xu; Haobing Liu 001 (Neurocomputing, 2022)

Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks. - Haobing Liu 001; Yanmin Zhu 006; Tianzi Zang; Yanan Xu; Jiadi Yu; Feilong Tang (ACM Trans. Knowl. Discov. Data, 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)

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)

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. - Tianzi Zang; Yanmin Zhu 006; Haobing Liu 001; Ruohan Zhang; Jiadi Yu (ACM Trans. Inf. Syst., 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)

Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation. - Haobing Liu 001; Jianyu Ding; Yanmin Zhu 006; Feilong Tang; Jiadi Yu; Ruobing Jiang; Zhongwen Guo (Knowl. Based Syst., 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)

Incorporating Higher-order Structural Information for Graph Clustering. - Qiankun Li; Haobing Liu 001; Ruobing Jiang; Tingting Wang (DASFAA (4), 2024)

Incorporating attributes and multi-scale structures for heterogeneous graph contrastive learning. - Ruobing Jiang; Yacong Li; Haobing Liu 001; Yanwei Yu (Inf. Fusion, 2025)

Weighted Graph Structure Learning with Attention Denoising for Node Classification. - Tingting Wang; Jiaxin Su; Haobing Liu 001; Ruobing Jiang (CoRR, 2025)

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. - Xiang Li 111; Haobing Liu 001; Jianpeng Qi; Yuan Cao; Guoqing Chao; Yanwei Yu (CoRR, 2025)