A Service-Oriented Qos-Assured and Multi-Agent Cloud Computing Architecture. - Buqing Cao; Bing Li 010; Qi-Ming Xia (CloudCom, 2009)

A Process-Driven and Ontology Based Software Product Line Variability Modeling Approach. - Buqing Cao; Bing Li 010; Qi-Ming Xia (GCC, 2009)

Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times. - Wei Huang 008; Lixin Ding; Bin Wen; Buqing Cao (ISNN (2), 2009)

Towards a Behavior-Based Restructure Approach for Service Composition. - Zaiwen Feng; Keqing He 002; Rong Peng; Buqing Cao (TrustCom, 2011)

Trustworthy assurance of service interoperation in cloud environment. - Bing Li 010; Buqing Cao; Kunmei Wen; Ruixuan Li 001 (Int. J. Autom. Comput., 2011)

An Efficient Search Strategy for Service Provider Selection in Complex Social Networks. - Yu Xu; Jianxun Liu 001; Mingdong Tang; Buqing Cao; Xiaoqing (Frank) Liu (IEEE SCC, 2012)

Web Page Recognition Algorithm Based on Link Analysis in Theme Search Engine. - Zude Chen; Jianxun Liu 001; Haijun Zhai; Lei Jiang 007; Buqing Cao (CGC, 2012)

Mashup Service Classification and Recommendation Based on Similarity Computing. - Guangrong Wang; Jianxun Liu 001; Buqing Cao; Mingdong Tang (CGC, 2012)

AWSR: Active Web Service Recommendation Based on Usage History. - Guosheng Kang; Jianxun Liu 001; Mingdong Tang; Xiaoqing (Frank) Liu; Buqing Cao; Yu Xu (ICWS, 2012)

CASAT-HOOMT: Computer Aided Software Analysis Tool Based on High Order Object-Oriented Modeling Technique. - Fan Zhang; Jinwu Wang; Xiaoqing (Frank) Liu; Buqing Cao; Mingdong Tang (COMPSAC, 2013)

A Global Optimal Service Selection Approach Based on QoS and Load-Aware in Cloud Environment. - Xian Wang; Jianxun Liu 001; Buqing Cao; Mingdong Tang (HPCC/EUC, 2013)

Mashup Service Recommendation Based on User Interest and Social Network. - Buqing Cao; Jianxun Liu 001; Mingdong Tang; Zibin Zheng; Guangrong Wang (ICWS, 2013)

Integrating Functional with Non-functional Requirements Analysis In Object Oriented Modeling Tool Based on HOOMT (S). - Jinwu Wang; Fan Zhang; Xiaoqing (Frank) Liu; Eric Christopher Barnes; Buqing Cao; Mingdong Tang (SEKE, 2013)

Mashup Service Recommendation Based on Usage History and Service Network. - Buqing Cao; Jianxun Liu 001; Mingdong Tang; Zibin Zheng; Guangrong Wang (Int. J. Web Serv. Res., 2013)

Correlation Search of Web Services. - Fenfang Xie; Jianxun Liu 001; Mingdong Tang; Buqing Cao; Saixia Lyu (APSCC, 2014)

Three-Level Views of the Web Service Network: An Empirical Study Based on ProgrammableWeb. - Saixia Lyu; Jianxun Liu 001; Mingdong Tang; Guosheng Kang; Buqing Cao; Yucong Duan (BigData Congress, 2014)

Dynamic Scheduling Optimization for Instance Aspect Handling in Workflows. - Yiping Wen; Jianxun Liu 001; Zhigang Chen 001; Buqing Cao (SKG, 2014)

A Trust-Aware Search Engine for Complex Service Computing. - Mingdong Tang; Zibin Zheng; Liang Chen 001; Jianxun Liu 001; Buqing Cao; Zhengguang You (Int. J. Web Serv. Res., 2014)

Effective Mashup Service Clustering Method by Exploiting LDA Topic Model from Multiple Data Sources. - Buqing Cao; Xiaoqing Frank Liu; Jianxun Liu 001; Mingdong Tang (APSCC, 2015)

WSWalker: A Random Walk Method for QoS-Aware Web Service Recommendation. - Mingdong Tang; Xiaoling Dai; Buqing Cao; Jianxun Liu 001 (ICWS, 2015)

基于信息熵多属性决策的Mashup服务推荐方法 (Recommended Method of Mashup Services Based on Information Entropy Multi-attribute Decision-making). - Shaowei Wang; Jianxun Liu 001; Buqing Cao; Mingdong Tang; Xian Wang (计算机科学, 2015)

An Effective Web Service Ranking Method via Exploring User Behavior. - Guosheng Kang; Jianxun Liu 001; Mingdong Tang; Buqing Cao; Yu Xu (IEEE Trans. Netw. Serv. Manag., 2015)

Using Relational Topic Model and Factorization Machines to Recommend Web APIs for Mashup Creation. - Buqing Cao; Min Shi 001; Xiaoqing (Frank) Liu; Jianxun Liu 001; Mingdong Tang (APSCC, 2016)

Multi-relation Based Manifold Ranking Algorithm for API Recommendation. - Fenfang Xie; Jianxun Liu 001; Mingdong Tang; Dong Zhou 001; Buqing Cao; Min Shi 001 (APSCC, 2016)

Web APIs Recommendation for Mashup Development Based on Hierarchical Dirichlet Process and Factorization Machines. - Buqing Cao; Bing Li 010; Jianxun Liu 001; Mingdong Tang; Yizhi Liu (CollaborateCom, 2016)

Towards Scheduling Data-Intensive and Privacy-Aware Workflows in Clouds. - Yiping Wen; Wanchun Dou; Buqing Cao; Congyang Chen (CollaborateCom, 2016)

Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model. - Buqing Cao; Xiaoqing Frank Liu; Bing Li 010; Jianxun Liu 001; Mingdong Tang; Tingting Zhang; Min Shi 001 (ICWS, 2016)

Exploring Web Services from a Network Perspective Using Multi-Level Views. - Mingdong Tang; Fenfang Xie; Buqing Cao; Saixia Lyu; Jianxun Liu 001 (J. Web Eng., 2016)

Diversifying Web Service Recommendation Results via Exploring Service Usage History. - Guosheng Kang; Mingdong Tang; Jianxun Liu 001; Xiaoqing Frank Liu; Buqing Cao (IEEE Trans. Serv. Comput., 2016)

Integrating Tag, Topic, Co-Occurrence, and Popularity to Recommend Web APIs for Mashup Creation. - Hongchao Li; Jianxun Liu 001; Buqing Cao; Mingdong Tang; Xiaoqing Frank Liu; Bing Li 010 (SCC, 2017)

Web API Recommendation for Mashup Development Using Matrix Factorization on Integrated Content and Network-Based Service Clustering. - Md Mahfuzer Rahman; Xiaoqing Frank Liu; Buqing Cao (SCC, 2017)

WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering. - Min Shi 001; Jianxun Liu 001; Dong Zhou 001; Mingdong Tang; Buqing Cao (ICWS, 2017)

Service Selection Based on User Privacy Risk Evaluation. - Mingdong Tang; Sumeng Zeng; Jianxun Liu 001; Buqing Cao (SpaCCS, 2017)

Domain-aware Mashup service clustering based on LDA topic model from multiple data sources. - Buqing Cao; Xiaoqing (Frank) Liu; Jianxun Liu 001; Mingdong Tang (Inf. Softw. Technol., 2017)

A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering. - Min Shi 001; Jianxun Liu 001; Buqing Cao; Yiping Wen; Xiangping Zhang (SCC, 2018)

A Resource Usage Prediction-Based Energy-Aware Scheduling Algorithm for Instance-Intensive Cloud Workflows. - Zhibin Wang; Yiping Wen; Yu Zhang; Jinjun Chen; Buqing Cao (CollaborateCom, 2018)

Web Service Discovery Based on Information Gain Theory and BiLSTM with Attention Mechanism. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Qiaoxiang Xiao; Yiping Wen (CollaborateCom, 2018)

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)

Towards Energy-Efficient Scheduling with Batch Processing for Instance-Intensive Cloud Workflows. - Zhibin Wang; Yiping Wen; Jinjun Chen; Buqing Cao; Feiran Wang (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Personalized Commodity Recommendations of Retail Business Using User Feature Based Collaborative Filtering. - Feiran Wang; Yiping Wen; Tianhang Guo; Jinjun Chen; Buqing Cao (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Web Service Recommendation via Combining Doc2Vec-Based Functionality Clustering and DeepFM-Based Score Prediction. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Qiaoxiang Xiao; Yiping Wen (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Web Services Clustering Based on HDP and SOM Neural Network. - Qiaoxiang Xiao; Buqing Cao; Xiangping Zhang; Jianxun Liu 001; Rong Hu; Bing Li 010 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Integrating Collaborative Filtering and Association Rule Mining for Market Basket Recommendation. - Feiran Wang; Yiping Wen; Jinjun Chen; Buqing Cao (WISE (2), 2018)

Service Recommendation Based on Attentional Factorization Machine. - Yingcheng Cao; Jianxun Liu 001; Min Shi 001; Buqing Cao; Ting Chen; Yiping Wen (SCC, 2019)

A Mobile Application Classification Method with Enhanced Topic Attention Mechanism. - Junjie Chen; Buqing Cao; Yingcheng Cao; Jianxun Liu 001; Rong Hu; Yiping Wen (ChineseCSCW, 2019)

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)

Relationship Network Augmented Web Services Clustering. - Yingcheng Cao; Jianxun Liu 001; Min Shi 001; Buqing Cao; Xiangping Zhang; Yan Wang 002 (ICWS, 2019)

A Web Services Classification Method Based on GCN. - Hongfan Ye; Buqing Cao; Junjie Chen; Jianxun Liu 001; Yiping Wen; Jinjun Chen (ISPA/BDCloud/SocialCom/SustainCom, 2019)

DINRec: Deep Interest Network Based API Recommendation Approach for Mashup Creation. - Yong Xiao; Jianxun Liu 001; Rong Hu; Buqing Cao; Yingcheng Cao (WISE, 2019)

Mining Collaboration Patterns Between APIs for Mashup Creation in Web of Things. - Mingdong Tang; Yanmin Xia; Bing Tang; Yongmei Zhou; Buqing Cao; Rong Hu (IEEE Access, 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)

Energy and cost aware scheduling with batch processing for instance-intensive IoT workflows in clouds. - Yiping Wen; Zhibin Wang; Yu Zhang; Jianxun Liu 001; Buqing Cao; Jinjun Chen (Future Gener. Comput. Syst., 2019)

QoS-aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications. - Buqing Cao; Jianxun Liu 001; Yiping Wen; Hongtao Li; Qiaoxiang Xiao; Jinjun Chen (J. Parallel Distributed Comput., 2019)

Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines. - Buqing Cao; Bing Li 010; Jianxun Liu 001; Mingdong Tang; Yizhi Liu; Yanxinwen Li (Mob. Inf. Syst., 2019)

Diversified QoS-Centric Service Recommendation for Uncertain QoS Preferences. - Guosheng Kang; Jianxun Liu 001; Buqing Cao; Yong Xiao (SCC, 2020)

Dynamic Vehicle Distribution Path Optimization Based on Collaboration of Cloud, Edge and End Devices. - Tiancai Li; Yiping Wen; Zheng Tan; Hong Chen 028; Buqing Cao (ChineseCSCW, 2020)

SC-GAT: Web Services Classification Based on Graph Attention Network. - Mi Peng; Buqing Cao; Junjie Chen; Jianxun Liu 001; Bing Li 010 (CollaborateCom (1), 2020)

MR-UI: A Mobile Application Recommendation Based on User Interaction. - Junjie Chen; Buqing Cao; Jianxun Liu 001; Bing Li 010 (ICWS, 2020)

NAFM: Neural and Attentional Factorization Machine for Web API Recommendation. - Guosheng Kang; Jianxun Liu 001; Buqing Cao; Manliang Cao (ICWS, 2020)

Structure Reinforcing and Attribute Weakening Network based API Recommendation Approach for Mashup Creation. - Yong Xiao; Jianxun Liu 001; Guosheng Kang; Rong Hu; Buqing Cao; Yingcheng Cao; Min Shi 001 (ICWS, 2020)

Web Service Recommendation based on Knowledge Graph Convolutional Network and Doc2Vec. - Jinkun Geng; Buqing Cao; Hongfan Ye; Junjie Chen; Mi Peng; Jianxun Liu 001 (SERVICES, 2020)

Collaborative filtering and association rule mining-based market basket recommendation on spark. - Feiran Wang; Yiping Wen; Tianhang Guo; Jianxun Liu 001; Buqing Cao (Concurr. Comput. Pract. Exp., 2020)

CPU usage prediction for cloud resource provisioning based on deep belief network and particle swarm optimization. - Yiping Wen; Yuan Wang; Jianxun Liu 001; Buqing Cao; Qi Fu (Concurr. Comput. Pract. Exp., 2020)

Improving the novelty of retail commodity recommendations using multiarmed bandit and gradient boosting decision tree. - Yiping Wen; Feiran Wang; Rui Wu; Jianxun Liu 001; Buqing Cao (Concurr. Comput. Pract. Exp., 2020)

Scheduling workflows with privacy protection constraints for big data applications on cloud. - Yiping Wen; Jianxun Liu 001; Wanchun Dou; Xiaolong Xu 001; Buqing Cao; Jinjun Chen (Future Gener. Comput. Syst., 2020)

Web services classification via combining Doc2Vec and LINE model. - Hongfan Ye; Buqing Cao; Jinkun Geng; Yiping Wen (Int. J. Comput. Sci. Eng., 2020)

A topic attention mechanism and factorization machines based mobile application recommendation method. - Buqing Cao; Junjie Chen; Jianxun Liu 001; Yiping Wen (Mob. Networks Appl., 2020)

Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development. - Buqing Cao; Xiaoqing Frank Liu; Md Mahfuzer Rahman; Bing Li 010; Jianxun Liu 001; Mingdong Tang (IEEE Trans. Serv. Comput., 2020)

Word Embedding-based Web Service Representations for Classification and Clustering. - Xiangping Zhang; Jianxun Liu 001; Min Shi 001; Buqing Cao (SCC, 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)

MR-FI: Mobile Application Recommendation Based on Feature Importance and Bilinear Feature Interaction. - Mi Peng; Buqing Cao; Junjie Chen; Jianxun Liu 001; Rong Hu (CollaborateCom (1), 2021)

AMSC: Adaptive Multi-channel Graph Convolutional Network-Enhanced Web Services Classification. - Yueying Qing; Buqing Cao; Mi Peng; Lulu Zhang 004; Guosheng Kang; Jianxun Liu 001; Kenneth K. Fletcher (HPCC/DSS/SmartCity/DependSys, 2021)

Bilinear Graph Neural Network-Enhanced Web Services Classification. - Lulu Zhang 004; Buqing Cao; Mi Peng; Yueying Qing; Guosheng Kang; Jianxun Liu 001; Kenneth K. Fletcher (HPCC/DSS/SmartCity/DependSys, 2021)

A Hybrid TLBO-TS Algorithm Based Mobile Service Selection for Composite Services. - Runbin Xie; Jianxun Liu 001; Guosheng Kang; Buqing Cao; Yiping Wen; Jiayan Xiang (ICA3PP (1), 2021)

QoS Prediction for Web Services via Combining Multi-component Graph Convolutional Collaborative Filtering and Deep Factorization Machine. - Linghang Ding; Guosheng Kang; Jianxun Liu 001; Yong Xiao; Buqing Cao (ICWS, 2021)

Heterogeneous Graph Attention Network-Enhanced Web Service Classification. - Mi Peng; Buqing Cao; Junjie Chen; Guosheng Kang; Jianxun Liu 001; Yiping Wen (ICWS, 2021)

WSGCN4SLP: Weighted Signed Graph Convolutional Network for Service Link Prediction. - Yong Xiao; Guosheng Kang; Jianxun Liu 001; Buqing Cao; Linghang Ding (ICWS, 2021)

Tatt-BiLSTM: Web service classification with topical attention-based BiLSTM. - Guosheng Kang; Yong Xiao; Jianxun Liu 001; Yingcheng Cao; Buqing Cao; Xiangping Zhang; Linghang Ding (Concurr. Comput. Pract. Exp., 2021)

Web service classification based on information gain theory and bidirectional long short-term memory with attention mechanism. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Min Shi 001 (Concurr. Comput. Pract. Exp., 2021)

Neural and Attentional Factorization Machine-Based Web API Recommendation for Mashup Development. - Guosheng Kang; Jianxun Liu 001; Yong Xiao; Buqing Cao; Yu Xu; Manliang Cao (IEEE Trans. Netw. Serv. Manag., 2021)

LDNM: A General Web Service Classification Framework via Deep Fusion of Structured and Unstructured Features. - Yong Xiao; Jianxun Liu 001; Guosheng Kang; Buqing Cao (IEEE Trans. Netw. Serv. Manag., 2021)

An API Recommendation Method Based on Beneficial Interaction. - Siyuan Wang; Buqing Cao; Xiang Xie; Lulu Zhang 004; Guosheng Kang; Jianxun Liu 001 (CollaborateCom (1), 2022)

A Negative Sampling-Based Service Recommendation Method. - Ziming Xie; Buqing Cao; Xinwen Liyan; Bing Tang; Yueying Qing; Xiang Xie; Siyuan Wang (CollaborateCom (1), 2022)

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)

Attentional Neural Factorization Machine for Web Services Classification via Exploring Content and Structural Semantics. - Bowen Liang; Guosheng Kang; Jianxun Liu 001; Buqing Cao; Jiayan Xiang (IJCNN, 2022)

Knowledge Graph-based Intent Network-Enhanced Web Services Recommendation. - Lisheng Chen; Buqing Cao; Xiang Xie; Yueying Qing; Guosheng Kang; Jianxun Liu 001 (ISPA/BDCloud/SocialCom/SustainCom, 2022)

BPMN++: Comprehensive Business Process Modeling for Industrial Internet Application. - Hangyu Cheng; Guosheng Kang; Jianxun Liu 001; Yiping Wen; Buqing Cao; Zhen Wang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Task-role Performance Evaluation via Business Process Monitoring with BPMN Extension. - Hangyu Cheng; Guosheng Kang; Jianxun Liu 001; Yiping Wen; Buqing Cao; Bowen Liang (ICSS, 2022)

A Web Service Classification Method Based on Graph Neural Network Knowledge Distillation. - Hao Huang; Buqing Cao; Shanpeng Liu; Dong Zhou 001; Mingdong Tang; Feng Xiao (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Web API recommendation via combining graph attention representation and deep factorization machines quality prediction. - Buqing Cao; Mi Peng; Yueying Qing; Jianxun Liu 001; Guosheng Kang; Bing Li 010; Kenneth K. Fletcher (Concurr. Comput. Pract. Exp., 2022)

Web Services Clustering via Exploring Unified Content and Structural Semantic Representation. - Guosheng Kang; Jianxun Liu 001; Yong Xiao; Yingcheng Cao; Buqing Cao; Min Shi 001 (IEEE Trans. Netw. Serv. Manag., 2022)

Graph-based Multi-view Clustering for Web services. - Yang Wang 158; Zhenzhen Yuan; Guosheng Kang; Buqing Cao; Jianxun Liu 001; Yong Xiao (ISPA/BDCloud/SocialCom/SustainCom, 2023)

MOOC Dropout Prediction Using Learning Process Model and LightGBM Algorithm. - Hejing Nie; Yiping Wen; Buqing Cao; Bowen Liang (ChineseCSCW (1), 2023)

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 Co-deployment Method via Joint Optimization of Communication Delay and Load Balancing in Edge Collaborative Environment. - Zilong Zeng; Buqing Cao; Hongfan Ye; Dong Zhou 001; Mingdong Tang; Feng Xiao (CSCWD, 2023)

TH-SLP: Web Service Link Prediction Based on Topic-aware Heterogeneous Graph Neural Network. - Qian Peng; Buqing Cao; Xiang Xie; Shanpeng Liu; Guosheng Kang; Jianxun Liu 001 (ICWS, 2023)

Fusing Spatio-Temporal Contexts into DeepFM for Taxi Pick-Up Area Recommendation. - Yizhi Liu; Rutian Qing; Yijiang Zhao; Xuesong Wang; Zhuhua Liao; Qinghua Li; Buqing Cao (Comput. Syst. Sci. Eng., 2023)

A Services Classification Method Based on Heterogeneous Information Networks and Generative Adversarial Networks. - Xiang Xie; Jianxun Liu 001; Buqing Cao; Mi Peng; Guosheng Kang; Yiping Wen; Kenneth K. Fletcher (Int. J. Web Serv. Res., 2023)

Web API Recommendation Based on Self-Attentional Neural Factorization Machines With Domain Interactions. - Guosheng Kang; Linghang Ding; Jianxun Liu 001; Buqing Cao; Yu Xu (IEEE Trans. Netw. Sci. Eng., 2023)

Web Service Recommendation via Integrating Heterogeneous Graph Attention Network Representation and FiBiNET Score Prediction. - Buqing Cao; Mi Peng; Lulu Zhang 004; Yueying Qing; Bing Tang; Guosheng Kang; Jianxun Liu 001 (IEEE Trans. Serv. Comput., 2023)

Web Service Recommendation via Combining Bilinear Graph Representation and xDeepFM Quality Prediction. - Buqing Cao; Lulu Zhang 004; Mi Peng; Yueying Qing; Guosheng Kang; Jianxun Liu 001 (IEEE Trans. Netw. Serv. Manag., 2023)

Cost-Aware Deployment of Microservices for IoT Applications in Mobile Edge Computing Environment. - Bing Tang; Feiyan Guo; Buqing Cao; Mingdong Tang; Kuan-Ching Li (IEEE Trans. Netw. Serv. Manag., 2023)

Exploring latent weight factors and global information for food-oriented cross-modal retrieval. - Wenyu Zhao; Dong Zhou 001; Buqing Cao; Wei Liang 005; Nitin Sukhija (Connect. Sci., 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)

Reviewers. - Bowen Zeng; Chaozheng Wang; Chunjiong Zhang; Elena Molino-Peña; Jindong Feng; Lei Gan; Shuzheng Gao; Tao Shi; Xin-Cheng Wen; Yishan Chen; Yuanchao Liu; Yujia Chen; et al. (SSE, 2024)

Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning. - Zhao Li 007; Qinxue Meng; Haitao Xu 002; Jiaming Huang; Yangbohan Jiao; Buqing Cao (ADMA (1), 2024)

Interactive Web API Recommendation via Exploring Mashup-API Interactions and Functional Description. - Wanjun Chen; Qiqi Chen; Jiexun Shen; Guosheng Kang; Jianxun Liu 001; Buqing Cao; Lihong Zhang (CSCWD, 2024)

A General Complementary API Recommendation Framework based on Learning Model. - Qiqi Chen; Guosheng Kang; Yamei Nie; Jianxun Liu 001; Buqing Cao (ICWS, 2024)

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. - Zhao Li 007; Yang Liu 320; Chuan Zhou 001; Xuanwu Liu; Xuming Pan; Buqing Cao; Xindong Wu 001 (ICWS, 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)

Graph structure estimation neural network-based service classification. - Yanxinwen Li; Ziming Xie; Buqing Cao; Hua Lou (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)

Efficient low-rank multi-component fusion with component-specific factors in image-recipe retrieval. - Wenyu Zhao; Dong Zhou 001; Buqing Cao; Kai Zhang; Jinjun Chen (Multim. Tools Appl., 2024)

Adversarial Modality Alignment Network for Cross-Modal Molecule Retrieval. - Wenyu Zhao; Dong Zhou 001; Buqing Cao; Kai Zhang; Jinjun Chen (IEEE Trans. Artif. Intell., 2024)

PRKG: Pre-Training Representation and Knowledge-Graph-Enhanced Web Service Recommendation for Mashup Creation. - Buqing Cao; Mi Peng; Ziming Xie; Jianxun Liu 001; Hongfan Ye; Bing Li 010; Kenneth K. Fletcher (IEEE Trans. Netw. Serv. Manag., 2024)

Knowledge distillation representation and DCNMIX quality prediction-based Web service recommendation. - Buqing Cao; Hao Huang; Shanpeng Liu; Yizhi Liu; Yiping Wen; Dong Zhou 001; Mingdong Tang (Concurr. Comput. Pract. Exp., 2024)

Web API Recommendation via Combining Adaptive Multichannel Graph Representation and xDeepFM Quality Prediction. - Buqing Cao; Yueying Qing; Dong Zhou 001; Xiang Xie; Guosheng Kang; Jianxun Liu 001; Kenneth K. Fletcher (IEEE Trans. Artif. Intell., 2024)

AFL-HCS: asynchronous federated learning based on heterogeneous edge client selection. - Bing Tang; Yuqiang Xiao; Li Zhang 096; Buqing Cao; Mingdong Tang; Qing Yang (Clust. Comput., 2024)

SMART: Cost-Aware Service Migration Path Selection Based on Deep Reinforcement Learning. - Buqing Cao; Hongfan Ye; Jianxun Liu 001; Bing Tang; Zhi Tao; Shuiguang Deng (IEEE Trans. Intell. Transp. Syst., 2024)

KS-GNN: Keyword Search via Graph Neural Network for Web API Recommendation. - Guosheng Kang; Yang Wang 158; Hongshuai Ren; Buqing Cao; Jianxun Liu 001; Yiping Wen (IEEE Trans. Netw. Serv. Manag., 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)

Evolution of Web API Cooperation Network via Exploring Community Structure and Popularity. - Guosheng Kang; Yang Wang 158; Jianxun Liu 001; Buqing Cao; Yong Xiao; Yu Xu (IEEE Trans. Artif. Intell., 2024)

An Approach for Privacy-Aware Mobile App Package Recommendation. - Shanpeng Liu; Buqing Cao; Jianxun Liu 001; Guosheng Kang; Min Shi 001; Xiong Li 002; Kenneth K. Fletcher (IEEE Trans. Artif. Intell., 2024)

Energy-Latency Tradeoffs for Service Placement Based on Reinforcement Learning in Edge Computing. - Bing Tang; Haiyan Li; Wei Xu; Buqing Cao; Qing Yang (Concurr. Comput. Pract. Exp., 2025)

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)

LLMSRec: Large language model with service network augmentation for web service recommendation. - Qian Peng; Buqing Cao; Xiang Xie; Hongfan Ye; Jianxun Liu 001; Zhao Li 007 (Knowl. Based Syst., 2025)

TPST: A Traffic Flow Prediction Model Based on Spatial-Temporal Identity. - Yuchen Hou; Buqing Cao; Jianxun Liu 001; Changyun Li; Min Shi 001 (Concurr. Comput. Pract. Exp., 2025)

Grapeseed: Generative Split-Learning for Privacy Preserving Sequential Recommendation in Vehicular Cloud-Powered Intelligent Transportation Systems. - Buqing Cao; Shanpeng Liu; Xiang Xie; Jianxun Liu 001; Min Shi 001; Xiong Li 002 (IEEE Trans. Intell. Transp. Syst., 2025)

TP-MDU: A Two-Phase Microservice Deployment Based on Minimal Deployment Unit in Edge Computing Environment. - Bing Tang; Zhikang Wu; Wei Xu; Buqing Cao; Mingdong Tang; Qing Yang (IEEE Trans. Netw. Serv. Manag., 2025)

Group Feature Aggregation for Web Service Recommendations. - Yong Xiao; Jianxun Liu 001; Guosheng Kang; Buqing Cao (IEEE Trans. Netw. Serv. Manag., 2025)

A deep Q-network-based edge service offloading in cloud-edge-terminal environment. - Buqing Cao; Yating Yi; Zilong Zeng; Hongfan Ye; Bing Tang (J. Supercomput., 2025)

Web API Recommendation via Exploring Textual and Structural Semantics With Contrastive Learning and Joint Training. - Guosheng Kang; Hongshuai Ren; Wanjun Chen; Jianxun Liu 001; Buqing Cao; Yu Xu (IEEE Trans. Netw. Serv. Manag., 2025)

Service Recommendation Based on Multi-Level View Contrastive Learning. - Xiang Xie; Jianxun Liu 001; Buqing Cao; Qian Peng; Shanpeng Liu; Guosheng Kang (IEEE Trans. Netw. Serv. Manag., 2025)

Efficient Layer Sharing for Application Deployment in Edge Computing Environment. - Bing Tang; Yahui Ma; Yu Liu; Qing Yang; Buqing Cao; Mingdong Tang (IEEE Trans. Consumer Electron., 2025)

Joint Optimization of Dynamic Service Selection and Request Routing in Cloud-Edge Collaborative Environments. - Bing Tang; Wei Xu; Li Zhang 096; Buqing Cao; Qing Yang; Kuanching Li (IEEE Internet Things J., 2025)

EP-MUSTO: Entropy-Enhanced DRL-Based Task Offloading in Secure Multi-UAV-Assisted Collaborative Edge Computing. - Longxin Zhang; Runti Tan; Buqing Cao; Lihua Ai; Kenli Li 001; Kenqin Li (IEEE Internet Things J., 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)