Web Service Customization Based on Service Feature Model. - Zhenlian Peng; Jian Wang 018; Keqing He 002; Mingdong Tang (SCC, 2015)

An Approach of Extracting Feature Requests from App Reviews. - Zhenlian Peng; Jian Wang 018; Keqing He 002; Mingdong Tang (CollaborateCom, 2016)

An Approach for Prioritizing Software Features Based on Node Centrality in Probability Network. - Zhenlian Peng; Jian Wang 018; Keqing He 002; Hongtao Li (ICSR, 2016)

Web Service Recommendation Based on Word Embedding and Topic Model. - Ting Chen; Jianxun Liu 001; Buqing Cao; Zhenlian Peng; Yiping Wen; Run Li (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Web Services Classification with Topical Attention Based Bi-LSTM. - Yingcheng Cao; Jianxun Liu 001; Buqing Cao; Min Shi 001; Yiping Wen; Zhenlian Peng (CollaborateCom, 2019)

Web Services Classification Based on Wide & Bi-LSTM Model. - Hongfan Ye; Buqing Cao; Zhenlian Peng; Ting Chen; Yiping Wen; Jianxun Liu 001 (IEEE Access, 2019)

RCBERT an Approach with Transfer Learning for App Reviews Classification. - Shiqi Duan; Jianxun Liu 001; Zhenlian Peng (ChineseCSCW (2), 2021)

MR-LGC: A Mobile Application Recommendation Based on Light Graph Convolution Networks. - Weishi Zhong; Buqing Cao; Mi Peng; Jianxun Liu 001; Zhenlian Peng (ChineseCSCW (2), 2021)

A Web Service Recommendation Method Based on Adaptive Gate Network and xDeepFM. - Zhi Tao; Buqing Cao; Hongfan Ye; Guosheng Kang; Zhenlian Peng; Yiping Wen (ICA3PP, 2022)

A missing physical fitness test data classification method based on MLP. - Peng Che; Zhenlian Peng; Buqing Cao; Jianxun Liu 001; Tieping Chen; Runqing Fan (CSCloud/EdgeCom, 2023)

A One-Dimensional Residual Network and Physical Fitness-Based Exercise Prescription Recommendation Method. - Runqing Fan; Zhenlian Peng; Buqing Cao; Jianxun Liu 001; Peng Che; Tieping Chen (CSCloud/EdgeCom, 2023)

An edge server deployment method based on optimal benefit and genetic algorithm. - Hongfan Ye; Buqing Cao; Jianxun Liu 001; Pei Li; Bing Tang; Zhenlian Peng (J. Cloud Comput., 2023)

Crawling and Exploring RESTful Web APIs from RapidAPI. - Wen Li; Hongshuai Ren; Yamei Nie; Zihao Liu; Guosheng Kang; Jianxun Liu 001; Zhenlian Peng (ICSS, 2024)

Multi-view Hypergraph-based Self-supervised Learning Model for Web API Recommendation. - Jiexun Shen; Dongfan Li; Wanjun Chen; Yong Xiao; Guosheng Kang; Jianxun Liu 001; Zhenlian Peng (ISPA, 2024)

TN-MR: topic-aware neural network-based mobile application recommendation. - Junyi Chen; Buqing Cao; Zhenlian Peng; Ziming Xie; Shanpeng Liu; Qian Peng (Int. J. Web Inf. Syst., 2024)

SMAR: self-supervised mobile application recommendation based on graph convolutional networks. - Zhongxiang Fu; Buqing Cao; Shanpeng Liu; Qian Peng; Zhenlian Peng; Min Shi 001; Shangli Liu (Int. J. Web Inf. Syst., 2024)

Web Service Recommendation via Combining Topic-Aware Heterogeneous Graph Representation and Interactive Semantic Enhancement. - Buqing Cao; Qian Peng; Xiang Xie; Zhenlian Peng; Jianxun Liu 001; Zibin Zheng (IEEE Trans. Serv. Comput., 2024)

ARIR: an intent recognition-based approach for API recommendation. - Buqing Cao; Siyuan Wang; Xiang Xie; Qian Peng; Yating Yi; Zhenlian Peng (Clust. Comput., 2024)

LLMSARec: large language model with semantic alignment for Web service recommendation. - Shangjie Feng; Buqing Cao; Ziming Xie; Zhongxiang Fu; Zhenlian Peng; Guosheng Kang (Int. J. Web Inf. Syst., 2025)

UMar: unbiased stratified knowledge distillation-based mobile application recommendation. - Zilun Xiong; Buqing Cao; Shanpeng Liu; Zhenlian Peng; Min Shi 001; Shangli Liu (Clust. Comput., 2025)