A Petri-Net-Based Approach to QoS Estimation of Web Service Choreographies. - Yunni Xia; Jun Chen; Mingqiang Zhou; Yu Huang 004 (APWeb/WAIM Workshops, 2009)

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

The Deep Fusion of Topological Structure and Attribute Information for Link Prediction. - Mingqiang Zhou; Yihan Kong; Shenshen Zhang; Dan Liu 007; Haijiang Jin (IEEE Access, 2020)

Enhanced Network Representation Learning With Community Aware and Relational Attention. - Mingqiang Zhou; Dan Liu 007; Yihan Kong; Haijiang Jin (IEEE Access, 2020)

A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation. - Jiangmei Luo; Qingsheng Zhu; Junnan Li 004; Dongdong Cheng; Mingqiang Zhou (PAKDD (2), 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 text sentiment classification model using double word embedding methods. - Mingqiang Zhou; Dan Liu 007; Yanhui Zheng; Qingsheng Zhu; Ping Guo 003 (Multim. Tools Appl., 2022)

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)

SMC-BRB: an algorithm for the maximum clique problem over large and sparse graphs with the upper bound via s+-index. - Mingqiang Zhou; Qianqian Zeng; Ping Guo 003 (J. Supercomput., 2023)

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

A Thompson Sampling Approach to User-centric Selection Problems. - Yanying Huang; Haoran Gu; Hong Xie; Mingqiang Zhou (IJCNN, 2024)

False Negative Sample Aware Negative Sampling for Recommendation. - Liguo Chen; Zhigang Gong; Hong Xie; Mingqiang Zhou (PAKDD (5), 2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications. - Luyue Xu; Liming Wang; Hong Xie; Mingqiang Zhou (PRICAI (5), 2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications. - Luyue Xu; Liming Wang; Hong Xie 004; Mingqiang Zhou (CoRR, 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)

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

Dynamic network embedding and its temporal link prediction via constructing community adaptive temporal walking. - Mingqiang Zhou; Weikai Cai; Zhengpeng Hu; Zhiyuan Qian (Knowl. Inf. Syst., 2025)