A Caching Mechanism for QoS-aware Service Composition. - Quanwang Wu; Qingsheng Zhu; Peng Li (J. Web Eng., 2012)

QoS-Aware Multi-granularity Service Composition Based on Generalized Component Services. - Quanwang Wu; Qingsheng Zhu; Xing Jian (ICSOC, 2013)

Transactional and QoS-aware dynamic service composition based on ant colony optimization. - Quanwang Wu; Qingsheng Zhu (Future Gener. Comput. Syst., 2013)

Towards Service Skyline for Multi-granularity Service Composition. - Quanwang Wu; Fuyuki Ishikawa (IWWISS, 2014)

A correlation-driven optimal service selection approach for virtual enterprise establishment. - Quanwang Wu; Qingsheng Zhu; Mingqiang Zhou (J. Intell. Manuf., 2014)

Broker-based SLA-aware composite service provisioning. - Quanwang Wu; Qingsheng Zhu; Xing Jian; Fuyuki Ishikawa (J. Syst. Softw., 2014)

Heterogeneous Virtual Machine Consolidation Using an Improved Grouping Genetic Algorithm. - Quanwang Wu; Fuyuki Ishikawa (HPCC/CSS/ICESS, 2015)

A neural network based reputation bootstrapping approach for service selection. - Quanwang Wu; Qingsheng Zhu; Peng Li (Enterp. Inf. Syst., 2015)

QoS-Aware Multigranularity Service Composition: Modeling and Optimization. - Quanwang Wu; Fuyuki Ishikawa; Qingsheng Zhu; Dong-Hoon Shin (IEEE Trans. Syst. Man Cybern. Syst., 2016)

On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds. - Wanbo Zheng; Yuandou Wang; Yunni Xia; Quanwang Wu; Lei Wu; Kunyin Guo; Weiling Li; Xin Luo 001; Qingsheng Zhu (Int. J. Distributed Sens. Networks, 2017)

An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method. - Weiling Li; Yongbo Wang; Yuandou Wang; Yunni Xia; Xin Luo 001; Quanwang Wu (Int. J. Web Serv. Res., 2017)

Natural neighbor-based clustering algorithm with local representatives. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Lijun Yang; Quanwang Wu (Knowl. Based Syst., 2017)

A novel outlier cluster detection algorithm without top-n parameter. - Jinlong Huang; Qingsheng Zhu; Lijun Yang; Dongdong Cheng; Quanwang Wu (Knowl. Based Syst., 2017)

QCC: a novel clustering algorithm based on Quasi-Cluster Centers. - Jinlong Huang; Qingsheng Zhu; Lijun Yang; Dongdong Cheng; Quanwang Wu (Mach. Learn., 2017)

Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds. - Quanwang Wu; Fuyuki Ishikawa; Qingsheng Zhu; Yunni Xia; Junhao Wen 001 (IEEE Trans. Parallel Distributed Syst., 2017)

A Fluctuation-Aware Approach for Predictive Web Service Composition. - Xiaoning Sun; Jiangchuan Chen; Yunni Xia; Qiang He 001; Yuandou Wang; Xin Luo 001; Rongqing Zhang 003; Wuhong Han; Quanwang Wu (SCC, 2018)

A Local Cores-Based Hierarchical Clustering Algorithm for Data Sets with Complex Structures. - Dongdong Cheng; Qingsheng Zhu; Quanwang Wu (COMPSAC (1), 2018)

A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds. - Yuandou Wang; Jiajia Jiang; Yunni Xia; Quanwang Wu; Xin Luo 001; Qingsheng Zhu (SCC, 2018)

Natural neighborhood graph-based instance reduction algorithm without parameters. - Lijun Yang; Qingsheng Zhu; Jinlong Huang; Dongdong Cheng; Quanwang Wu; Xiaolu Hong (Appl. Soft Comput., 2018)

A novel data clustering algorithm using heuristic rules based on k-nearest neighbors chain. - Jianyun Lu; Qingsheng Zhu; Quanwang Wu (Eng. Appl. Artif. Intell., 2018)

VCG Auction-Based Dynamic Pricing for Multigranularity Service Composition. - Quanwang Wu; MengChu Zhou; Qingsheng Zhu; Yunni Xia (IEEE Trans Autom. Sci. Eng., 2018)

A Cloud Service Selection Method Based on Trust and User Preference Clustering. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Bamei Tao; Quanwang Wu; Zhiyong Tao (IEEE Access, 2019)

A dynamic cloud service selection model based on trust and SLA in cloud computing. - Yubiao Wang; Junhao Wen 001; Quanwang Wu; Lei Guo; Bamei Tao (Int. J. Grid Util. Comput., 2019)

A self-training method based on density peaks and an extended parameter-free local noise filter for k nearest neighbor. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu (Knowl. Based Syst., 2019)

A hierarchical clustering algorithm based on noise removal. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang (Int. J. Mach. Learn. Cybern., 2019)

A local cores-based hierarchical clustering algorithm for data sets with complex structures. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang (Neural Comput. Appl., 2019)

Constraint nearest neighbor for instance reduction. - Lijun Yang; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Dongdong Cheng; Xiaolu Hong (Soft Comput., 2019)

A Novel Cluster Validity Index Based on Local Cores. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang (IEEE Trans. Neural Networks Learn. Syst., 2019)

Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters. - Quanwang Wu; Fuyuki Ishikawa; Qingsheng Zhu; Yunni Xia (IEEE Trans. Serv. Comput., 2019)

CC-MOEA: A Parallel Multi-objective Evolutionary Algorithm for Recommendation Systems. - Guoshuai Wei; Quanwang Wu (ICA3PP (2), 2020)

A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu (Appl. Intell., 2020)

An effective framework based on local cores for self-labeled semi-supervised classification. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu; Dongdong Cheng (Knowl. Based Syst., 2020)

MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows. - Quanwang Wu; MengChu Zhou; Qingsheng Zhu; Yunni Xia; Junhao Wen 001 (IEEE Trans Autom. Sci. Eng., 2020)

A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu; Fan Zhu (Inf. Sci., 2021)

SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu; Zhiyong Zhang; Yanlu Gong; Ziqing He; Fan Zhu (Knowl. Based Syst., 2021)

An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem. - Yafei Dong; Quanwang Wu; Junhao Wen 001 (Neural Comput. Appl., 2021)

A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems. - Guoshuai Wei; Quanwang Wu; Mengchu Zhou (IEEE Trans. Comput. Soc. Syst., 2021)

Clustering with Local Density Peaks-Based Minimum Spanning Tree. - Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang (IEEE Trans. Knowl. Data Eng., 2021)

A Joint Framework for Knowledge Extraction from Flight Training Comments. - Yuxuan Zhang; Jiaxing Shang; Linjiang Zheng; Quanwang Wu; Weiwei Cao; Hong Sun (ChineseCSCW (1), 2022)

An Improved LSTM-based Method Capturing Temporal Correlations and Using Attention Mechanism for Radar Echo Extrapolation. - Zhiyun Yang; Ru Ji; Qi Liu 001; Fei Dai 002; Yiwen Zhang 001; Quanwang Wu; Xiaodong Liu 002 (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A New Density Clustering Method based on Dynamic Local Density. - Jianyun Lu; Quanwang Wu; Chunling Wu (ICNSC, 2022)

High-dimensional Feature Selection in Classification: A Length-Adaptive Evolutionary Approach. - Junhai Zhou; Jianyun Lu; Quanwang Wu; Junhao Wen 001 (ICNSC, 2022)

Betweenness centrality-based community adaptive network representation for link prediction. - Mingqiang Zhou; Haijiang Jin; Quanwang Wu; Hong Xie; Qizhi Han (Appl. Intell., 2022)

A cloud service recommendation method based on extended multi-source information fusion. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Xibin Wang; Quanwang Wu; Bamei Tao (Concurr. Comput. Pract. Exp., 2022)

Privacy and security-aware workflow scheduling in a hybrid cloud. - Jian Lei; Quanwang Wu; Jin Xu (Future Gener. Comput. Syst., 2022)

Endpoint Communication Contention-Aware Cloud Workflow Scheduling. - Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE Trans Autom. Sci. Eng., 2022)

Budget-Constrained Contention-Aware Workflow Scheduling in a Hybrid Cloud. - Qingliang Zhang; Xinyue Shu; Quanwang Wu (CollaborateCom (1), 2023)

A co-training method based on parameter-free and single-step unlabeled data selection strategy with natural neighbors. - Yanlu Gong; Quanwang Wu; Dongdong Cheng (Int. J. Mach. Learn. Cybern., 2023)

A framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification. - Junnan Li 004; Mingqiang Zhou; Qingsheng Zhu; Quanwang Wu (Pattern Recognit., 2023)

HHFS: A Hybrid Hierarchical Feature Selection Method for Ageing Gene Classification. - Dehui Li; Quanwang Wu; Mengchu Zhou; Fengji Luo (IEEE Trans. Cogn. Dev. Syst., 2023)

Self-paced multi-label co-training. - Yanlu Gong; Quanwang Wu; Mengchu Zhou; Junhao Wen 001 (Inf. Sci., 2023)

SIVLC: improving the performance of co-training by sufficient-irrelevant views and label consistency. - Yanlu Gong; Quanwang Wu (Appl. Intell., 2023)

A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection. - Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE CAA J. Autom. Sinica, 2023)

HIN-based rating prediction in recommender systems via GCN and meta-learning. - Mingqiang Zhou; Kunpeng Li; Kailang Dai; Quanwang Wu (Appl. Intell., 2023)

LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification. - Junhai Zhou; Quanwang Wu; Mengchu Zhou; Junhao Wen 001; Yusuf Al-Turki 001; Abdullah Abusorrah (IEEE Trans. Cybern., 2023)

Adaptive Fusion of Global Information for Position Aware Multi-Interest Sequential Recommendation. - Tianhao Sun; Jiayi Mal; Yanke Chen; Yunhao Ma; Quanwang Wu (SMC, 2024)

A Multi-Level Contrastive Learning Framework for Knowledge Graph-Based Recommendation Systems. - Tianhao Sun; Xiaodong Zhang; Yanke Chen; Huhai Zou; Quanwang Wu (SMC, 2024)

A probabilistic modeling and evolutionary optimization approach for serverless workflow configuration. - Weiguo Wang; Quanwang Wu; Zhiyong Zhang; Jie Zeng; Xiang Zhang; Mingqiang Zhou (Softw. Pract. Exp., 2024)

A Communication-Contention-Aware Privacy-Preserving Workflow Scheduling Method for Geo-Distributed Datacenters. - Xinyue Shu; Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2024)

Multi-order attribute network representation learning via constructing hierarchical graphs. - Mingqiang Zhou; Qizhi Han; Dan Liu; Quanwang Wu (Int. J. Mach. Learn. Cybern., 2024)

A robust method based on locality sensitive hashing for K-nearest neighbors searching. - Dongdong Cheng; Jinlong Huang; Sulan Zhang; Quanwang Wu (Wirel. Networks, 2024)

A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds. - Qingliang Zhang; Quanwang Wu; MengChu Zhou; Junhao Wen 001; Siya Yao (IEEE Trans Autom. Sci. Eng., 2024)

Semi-supervised filter feature selection based on natural Laplacian score and maximal information coefficient. - Quanwang Wu; Kun Cai; Jianxun Sun; Shanwei Wang; Jie Zeng (Int. J. Mach. Learn. Cybern., 2024)

HFS-CSR: A hierarchical feature selection method based on correlation and structural redundancy. - Jianyun Lu; Dehui Li; Quanwang Wu; Junming Shao (Expert Syst. Appl., 2025)

A diversity and reliability-enhanced synthetic minority oversampling technique for multi-label learning. - Yanlu Gong; Quanwang Wu; Mengchu Zhou; Chao Chen (Inf. Sci., 2025)

Contention-aware workflow scheduling on heterogeneous computing systems with shared buses. - Yiming Zheng; Quanwang Wu; Kun Cai; Yunni Xia (J. Syst. Archit., 2025)

Dynamically Scheduling Deadline-Constrained Interleaved Workflows on Heterogeneous Computing Systems. - Kun Cai; Quanwang Wu; Mengchu Zhou; Chao Chen; Junhao Wen 001; Shouguang Wang (IEEE Trans. Serv. Comput., 2025)