Multi-Context Integrated Deep Neural Network Model for Next Location Prediction. - Jianxin Liao; Tongcun Liu; Meilian Liu; Jingyu Wang 001; Yulong Wang 001; Haifeng Sun 001 (IEEE Access, 2018)

A Geographical-Temporal Awareness Hierarchical Attention Network for Next Point-of-Interest Recommendation. - Tongcun Liu; Jianxin Liao; Zhigen Wu; Yulong Wang 001; Jingyu Wang 001 (ICMR, 2019)

Collaborative tensor-topic factorization model for personalized activity recommendation. - Tongcun Liu; Jianxin Liao; Yulong Wang 001; Jingyu Wang 001; Qi Qi 001 (Multim. Tools Appl., 2019)

Exploiting geographical-temporal awareness attention for next point-of-interest recommendation. - Tongcun Liu; Jianxin Liao; Zhigen Wu; Yulong Wang 001; Jingyu Wang 001 (Neurocomputing, 2020)

Question-Driven Span Labeling Model for Aspect-Opinion Pair Extraction. - Lei Gao; Yulong Wang 001; Tongcun Liu; Jingyu Wang 001; Lei Zhang 094; Jianxin Liao (AAAI, 2021)

UMDSF: Unified Model With Dynamic-Static Features for Personalized Recommendation. - Siyuan Lou; Yulong Wang 001; Tongcun Liu; Jianxin Liao (IJCNN, 2021)

Exploiting local spatio-temporal characteristics for effective video understanding. - Tongcun Liu; Haoxin Liu; Yulong Wang 001 (Multim. Tools Appl., 2021)

An integrated model based on deep multimodal and rank learning for point-of-interest recommendation. - Jianxin Liao; Tongcun Liu; Hongzhi Yin; Tong Chen 005; Jingyu Wang 001; Yulong Wang 001 (World Wide Web, 2021)

Fast-slow visual network for action recognition in videos. - Heng Hu; Tongcun Liu; Hailin Feng (Multim. Tools Appl., 2022)

Matrix reconstruction with reliable neighbors for predicting potential MiRNA-disease associations. - Hailin Feng; Dongdong Jin; Jian Li 032; Yane Li; Quan Zou 001; Tongcun Liu (Briefings Bioinform., 2023)

Prediction of disease-linked miRNAs based on SODNMF-DM. - Bingsheng Yang; Jian Li 032; Zhiwei Ji; Yaoping Ruan; Tongcun Liu; Hailin Feng (Biomed. Signal Process. Control., 2023)

Semantic-enhanced Contrastive Learning for Session-based Recommendation. - Zhicheng Liu; Yulong Wang 001; Tongcun Liu; Lei Zhang 094; Wei Li 119; Jianxin Liao; Ding He (Knowl. Based Syst., 2023)

Prediction of Potential miRNA-Disease Associations Based on a Masked Graph Autoencoder. - Hailin Feng; Chenchen Ke; Quan Zou 001; Zhechen Zhu; Tongcun Liu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Dynamic and Static Representation Learning Network for Recommendation. - Tongcun Liu; Siyuan Lou; Jianxin Liao; Hailin Feng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Content-Aware Few-Shot Meta-Learning for Cold-Start Recommendation on Portable Sensing Devices. - Xiaomin Lv; Kai Fang 001; Tongcun Liu (Sensors, 2024)

Multisource-Fusion-Enhanced Power-Efficient Sustainable Computing for Air Quality Monitoring. - Jijing Cai; Tongcun Liu; Tingting Wang 006; Hailin Feng; Kai Fang 001; Ali Kashif Bashir; Wei Wang 077 (IEEE Internet Things J., 2024)

MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network. - Kai Fang 001; Jiangtao Deng; Chengzu Dong; Usman Naseem; Tongcun Liu; Hailin Feng; Wei Wang 077 (WWW, 2025)

U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision. - Hailin Feng; Jiefan Qiu; Long Wen; Jinhong Zhang; Jiening Yang; Zhihan Lyu; Tongcun Liu; Kai Fang 001 (Neural Networks, 2025)

Enhancing Session-Based Recommendation With Multi-Interest Hyperbolic Representation Networks. - Tongcun Liu; Xukai Bao; Jiaxin Zhang; Kai Fang 001; Hailin Feng (IEEE Trans. Neural Networks Learn. Syst., 2025)