Service Recommendation with High Accuracy and Diversity. - Shengqi Wu; Huaizhen Kou; Chao Lv; Wanli Huang; Lianyong Qi; Hao Wang 003 (Wirel. Commun. Mob. Comput., 2020)

A Privacy-Preserving Anime Recommendation Method on Distributed Platform. - Yuwen Liu; Ying Miao 004; Shengqi Wu (DMBD (2), 2021)

Active Learning Model on Wind Turbine Power Generation Based on Polynomial Regression. - Shengqi Wu; Tongjun Zhang (ICDLT, 2021)

Distributed Power Load Missing Value Forecasting with Privacy Protection. - Ying Miao 004; Lianyong Qi; Haoyang Wu; Yuxin Tian; Shengqi Wu; Yuqing Wang; Fei Dai 002; Shaoqi Ding (ML4CS (1), 2022)

Diverse Web APIs Recommendation with Privacy-preservation for Mashup Development. - Shengqi Wu; Lianyong Qi; Yuwen Liu; Yihong Yang; Ying Miao 004; Fei Dai 002 (ML4CS (1), 2022)

Popularity-Aware and Diverse Web APIs Recommendation Based on Correlation Graph. - Shengqi Wu; Shigen Shen; Xiaolong Xu 001; Ying Chen 010; Xiaokang Zhou; Dongning Liu; Xiao Xue 001; Lianyong Qi (IEEE Trans. Comput. Soc. Syst., 2023)

Locality adaptive incomplete multi-view subspace clustering. - Guo Zhong; Min Zhong; Shengqi Wu; Yuzhi Liang; Pengfei Song; Shixun Lin; Xiuyun Zhu (Data Min. Knowl. Discov., 2025)