SimWalk: Learning network latent representations with social relation similarity. - Shicheng Cui; Bin Xia 003; Tao Li 001; Ming Wu 004; Deqiang Li; Qianmu Li; Hong Zhang 021 (ISKE, 2017)

A robust inference algorithm for crowd sourced categorization. - Ming Wu 004; Qianmu Li; Jing Zhang 015; Shicheng Cui; Deqiang Li; Yong Qi (ISKE, 2017)

A Subjectivity-Aware Algorithm for Label Aggregation in Crowdsourcing. - Ming Wu 004; Qianmu Li; Shuo Wang 017; Jun Hou 002 (CSE/EUC, 2019)

Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm. - Qianmu Li; Shunmei Meng; Sainan Zhang; Ming Wu 004; Jing Zhang 015; Milad Taleby Ahvanooey; Muhammad Shamrooz Aslam (IEEE Access, 2019)

A Survey of Genetic Programming and Its Applications. - Milad Taleby Ahvanooey; Qianmu Li; Ming Wu 004; Shuo Wang 017 (KSII Trans. Internet Inf. Syst., 2019)

Ensemble Learning from Crowds. - Jing Zhang 015; Ming Wu 004; Victor S. Sheng (IEEE Trans. Knowl. Data Eng., 2019)

Learning deep networks with crowdsourcing for relevance evaluation. - Ming Wu 004; XiaoChun Yin; Qianmu Li; Jing Zhang 015; Xinqi Feng; Qi Cao; Haiyuan Shen (EURASIP J. Wirel. Commun. Netw., 2020)

Multi-label active learning from crowds for secure IIoT. - Ming Wu 004; Qianmu Li; Muhammad Bilal 003; Xiaolong Xu 001; Jing Zhang 015; Jun Hou 002 (Ad Hoc Networks, 2021)

Privacy preserving techniques for decision trees. - Xiaoqian Liu; Qianmu Li; Tao Li 001; Ming Wu 004 (Int. J. Inf. Comput. Secur., 2021)

Learning from Crowds with Mutual Correction-Based Co-Training. - Nianshang Tian; Ming Wu 004; Jiqiong Jiang; Jing Zhang 015 (ICKG, 2022)

Label Aggregation with Clustering for Biased Crowdsourced Labeling. - Ming Wu 004; Qianmu Li; Jing Zhang 015; Jun Hou 002 (ICMLC, 2022)

Learning from biased crowdsourced labeling with deep clustering. - Ming Wu 004; Qianmu Li; Fei Yang; Jing Zhang 015; Victor S. Sheng; Jun Hou 002 (Expert Syst. Appl., 2023)

Label noise correction for crowdsourcing using dynamic resampling. - Jing Zhang 015; Xiaoqian Jiang; Nianshang Tian; Ming Wu 004 (Eng. Appl. Artif. Intell., 2024)

Active Crowdsourcing for Multilabel Annotation. - Jing Zhang 015; Ming Wu 004; Cangqi Zhou; Victor S. Sheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. - Zijian Ying; Jing Zhang 015; Qianmu Li; Ming Wu 004; Victor S. Sheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning From Crowds Using Graph Neural Networks With Attention Mechanism. - Jing Zhang 015; Ming Wu 004; Zeyi Sun 001; Cangqi Zhou (IEEE Trans. Big Data, 2025)

TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive. - Xiaoqian Jiang; Jing Zhang 015; Ming Wu 004; Victor S. Sheng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)