Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image. - Xiaochun Chen; Yanbin Zhang; Shun Fu; Hu Peng; Xiang Chen 007 (ICIG (1), 2017)

Entity Alignment Across Knowledge Graphs Based on Representative Relations Selection. - Youmin Zhang 006; Li Liu 030; Shun Fu; Fujin Zhong (ICSAI, 2018)

A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks. - Shun Fu; Guoyin Wang 001; Shuyin Xia; Li Liu 030 (IJCRS, 2019)

ABNE: An Attention-Based Network Embedding for User Alignment Across Social Networks. - Li Liu 030; Youmin Zhang 006; Shun Fu; Fujin Zhong; Jun Hu 002; Pu Zhang (IEEE Access, 2019)

End-effector with a bite mode for harvesting citrus fruit in random stalk orientation environment. - Yi Wang; Yan Yang; Changhui Yang; Hongmei Zhao; Gubo Chen; Zhe Zhang; Shun Fu; Mao Zhang; Hongbin Xu (Comput. Electron. Agric., 2019)

The Multi-granularity in Graph Revealed by a Generalized Leading Tree. - Shun Fu; Ji Xu (CoRR, 2020)

Deep multi-granularity graph embedding for user identity linkage across social networks. - Shun Fu; Guoyin Wang 001; Shuyin Xia; Li Liu 030 (Knowl. Based Syst., 2020)

hier2vec: interpretable multi-granular representation learning for hierarchy in social networks. - Shun Fu; Guoyin Wang 001; Ji Xu 001 (Int. J. Mach. Learn. Cybern., 2021)

IbLT: An effective granular computing framework for hierarchical community detection. - Shun Fu; Guoyin Wang 001; Ji Xu 001; Shuyin Xia (J. Intell. Inf. Syst., 2022)

MGRL: attributed multiplex heterogeneous network representation learning based on multi-granularity information fusion. - Ke Chen; Guoyin Wang 001; Shun Fu; Jun Hu 002; Li Liu 030 (Int. J. Mach. Learn. Cybern., 2022)

Knowledge Graph-Based Advance Preparation in Medical Interpreting. - Jing Ning; Aiping Mo; Shun Fu (ICWL, 2024)

A Multi-level Tree Mapping for Hyper-parameter Assigning in Network Representation Learning. - Hao Li; Shun Fu; Huajian Xie (IJCRS (3), 2024)

Coral Model Generation from Single Images for Virtual Reality Applications. - Jie Fu; Shun Fu; Mick Grierson (CoRR, 2024)

A review on network representation learning with multi-granularity perspective. - Shun Fu; Lufeng Wang; Jie Yang 052 (Intell. Data Anal., 2024)

Self-labeled framework with semi-supervised ball K-means clustering-based synthetic example generation for semi-supervised classification in industrial applications. - Junnan Li; Lufeng Wang; Shun Fu; Wei Fu; Xin Pan (Eng. Appl. Artif. Intell., 2025)

An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification. - Junnan Li; Shun Fu; Wei Fu; Lufeng Wang; Xin Pan (Neural Networks, 2025)

Corrigendum to "An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification" [Neural Networks 185 (2025) 107142]. - Junnan Li; Shun Fu; Wei Fu; Lufeng Wang; Xin Pan (Neural Networks, 2025)

RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction. - Shun Fu; Junnan Li; Lufeng Wang (PeerJ Comput. Sci., 2025)