A congestion will based constraints mechanism of mobile sensor network. - Ping Song; Yiping Wang; Xiaoyue Wang; Zhiqiang Pan (MFI, 2012)

Design of special vehicle torsion beam test terminal based on ZigBee and LabVIEW. - Xiongjun Liu; Ping Song; Cheng Yang; Zhiqiang Pan (RCAR, 2017)

Star Graph Neural Networks for Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Honghui Chen; Maarten de Rijke (CIKM, 2020)

An Intent-guided Collaborative Machine for Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Yanxiang Ling; Maarten de Rijke (SIGIR, 2020)

Rethinking Item Importance in Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Yanxiang Ling; Maarten de Rijke (SIGIR, 2020)

A Hybrid-Preference Neural Model for Basket-Sensitive Item Recommendation. - Zhiqiang Pan; Wanyu Chen; Honghui Chen (IEEE Access, 2020)

Metric Sentiment Learning for Label Representation. - Chengyu Song; Fei Cai; Jianming Zheng; Wanyu Chen; Zhiqiang Pan (CIKM, 2021)

Efficient Graph Collaborative Filtering via Contrastive Learning. - Zhiqiang Pan; Honghui Chen (Sensors, 2021)

Co-Attentive Graph Learning for Session-based Recommendation. - Fei Cai; Zhiqiang Pan (DSIT, 2022)

A novel method for vascular age estimation via pressure pulse wave of radial artery. - Qingfeng Tang; Changlong Tao; Zhiqiang Pan; Guangjun Wang; Kui Liu; Zhigeng Pan; Guodong Liu; Benyue Su; Ning Liu (Biomed. Signal Process. Control., 2022)

Vascular age acquired from the pulse signal: A new index to screen early vascular aging. - Qingfeng Tang; Zhiqiang Pan; Changlong Tao; Jing Jiang 021; Benyue Su; Hui An; Guodong Liu; Zhigeng Pan (Comput. Biol. Medicine, 2022)

Exploring latent connections in graph neural networks for session-based recommendation. - Fei Cai; Zhiqiang Pan; Chengyu Song; Xin Zhang 123 (Inf. Retr. J., 2022)

Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition. - Xin Zhang 123; Miao Jiang; Honghui Chen; Jianming Zheng; Zhiqiang Pan (Knowl. Based Syst., 2022)

Session-based recommendation with an importance extraction module. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Honghui Chen (Neural Comput. Appl., 2022)

Graph Co-Attentive Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Honghui Chen (ACM Trans. Inf. Syst., 2022)

Collaborative Graph Learning for Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Chonghao Chen; Honghui Chen (ACM Trans. Inf. Syst., 2022)

Self-supervised graph learning with target-adaptive masking for session-based recommendation. - Yitong Wang; Fei Cai; Zhiqiang Pan; Chengyu Song (Frontiers Inf. Technol. Electron. Eng., 2023)

Relationship between individual differences in pain empathy and task- and resting-state EEG. - Zhiqiang Pan; Chuan Zhang; Wenjie Su; Xingang Qi; Xinyue Feng; Lanqi Gao; Xiaoxue Xu; Jixin Liu (NeuroImage, 2023)

Correlation-enhanced Dynamic Graph Learning for Temporal Link Prediction. - Junzhe Chen; Zhiqiang Pan; Honghui Chen (EAIS, 2024)

GMCL: Graph Mask Contrastive Learning for Self-Supervised Graph Representation Learning. - Long Xu; Zhiqiang Pan; Honghui Chen; Tianjian Zhou (IJCNN, 2024)

Inductive link prediction on temporal networks through causal inference. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Taihua Shao; Yupu Guo; Honghui Chen (Inf. Sci., 2024)

MTdyg: Multi-scale transformers with continuous time dynamic graph model for link prediction. - Long Xu; Zhiqiang Pan; Honghui Chen; Shen Wang 011 (Knowl. Based Syst., 2024)

Distance Enhanced Hypergraph Learning for Dynamic Node Classification. - Dengfeng Liu; Zhiqiang Pan; Shengze Hu; Fei Cai (Neural Process. Lett., 2024)

Can't Stop Scrolling: Understanding the Online Behavioral Factors and Trends of Short-Video Addiction. - Jing Yi Wang; Nicholas Sukiennik; Jinghua Piao; Zhiqiang Pan; Chen Gao 001; Yong Li 008 (ICWSM, 2025)

On the Cross-Graph Transferability of Dynamic Link Prediction. - Zhiqiang Pan; Chen Gao 001; Fei Cai; Wanyu Chen; Xin Zhang 123; Honghui Chen; Yong Li 008 (WWW, 2025)

Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs. - Xin Zhang; Fei Cai; Jianming Zheng; Zhiqiang Pan; Wanyu Chen; Honghui Chen; Chonghao Chen (WWW, 2025)

PEARL: A dual-layer graph learning for multimodal recommendation. - Yuzhuo Dang; Wanyu Chen; Zhiqiang Pan; Yuxiao Duan; Fei Cai; Honghui Chen (Inf. Fusion, 2025)

Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks. - Xin Zhang 123; Wanyu Chen; Fei Cai; Jianming Zheng; Zhiqiang Pan; Yupu Guo; Honghui Chen (Inf. Process. Manag., 2025)

Discrepancy Learning Guided Hierarchical Fusion Network for Multi-modal Recommendation. - Yuzhuo Dang; Zhiqiang Pan; Xin Zhang 123; Wanyu Chen; Fei Cai; Honghui Chen (Knowl. Based Syst., 2025)

A Structure-Feature Dynamic Decoupling GNN architecture for link prediction. - Guowang Li; Zhiqiang Pan; Fei Cai; Weijie Chen; Langgao Cheng (Knowl. Based Syst., 2025)

Distance-Aware Learning for Inductive Link Prediction on Temporal Networks. - Zhiqiang Pan; Fei Cai; Xinwang Liu 002; Honghui Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Time-Aware Graph Learning for Link Prediction on Temporal Networks. - Zhiqiang Pan; Honghui Chen; Wanyu Chen; Fei Cai; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MLLMRec: Exploring the Potential of Multimodal Large Language Models in Recommender Systems. - Yuzhuo Dang; Xin Zhang 123; Zhiqiang Pan; Yuxiao Duan; Wanyu Chen; Fei Cai; Honghui Chen (CoRR, 2025)

Light Dynamic Graph Learning on Temporal Networks. - Zhiqiang Pan; Chen Gao 001; Fei Cai; Honghui Chen; Yong Li 008 (ACM Trans. Inf. Syst., 2025)