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Ming Wu

Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm
2019 · Qianmu Li, Shunmei Meng, et al. · IEEE Access · 55
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Ensemble Learning from Crowds
2018 · Jing Zhang, Ming Wu, et al. · IEEE Transactions on Knowledge and Data Engineering · 36
Label noise correction for crowdsourcing using dynamic resampling
2024 · Jing Zhang, Xiaoqian Jiang, et al. · Engineering Applications of Artificial Intelligence · 16
Learning from biased crowdsourced labeling with deep clustering
2022 · Ming Wu, Qianmu Li, et al. · Expert Systems with Applications · 11
A robust inference algorithm for crowd sourced categorization
2017 · Ming Wu, Qianmu Li, et al. · International Conference on Intelligent Systems and Knowledge Engineering (ISKE) · 11
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks
2023 · Zijian Ying, Jing Zhang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 9
Moiré flat bands in alternating twisted MoTe 2 multilayers
2025 · Miao Liang, Shi-Ping Ding, et al. · Physical review. B./Physical review. B · 7
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Learning From Crowds Using Graph Neural Networks With Attention Mechanism
2024 · Jing Zhang, Ming Wu, et al. · IEEE Transactions on Big Data · 7
Multi-label active learning from crowds for secure IIoT
2021 · Ming Wu, Qianmu Li, et al. · Ad Hoc Networks · 6
SimWalk: Learning network latent representations with social relation similarity
2017 · Shicheng Cui, Bin Xia, et al. · International Conference on Intelligent Systems and Knowledge Engineering (ISKE) · 6
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive
2024 · Xiaoqian Jiang, Jing Zhang, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence · 5
A Subjectivity-Aware Algorithm for Label Aggregation in Crowdsourcing
2019 · Ming Wu, Qianmu Li, et al. · IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) · 5
Learning deep networks with crowdsourcing for relevance evaluation
2020 · Ming Wu, Xiaochun Yin, et al. · EURASIP Journal on Wireless Communications and Networking · 4
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AutoLog: facing log redundancy and insufficiency
2011 · Cheng Zhang, Zhenyu Guo, et al. · Asia-Pacific Workshop on Systems · 4
Active Crowdsourcing for Multilabel Annotation
2022 · Jing Zhang, Ming Wu, et al. · IEEE Transactions on Neural Networks and Learning Systems · 2
Label Aggregation with Clustering for Biased Crowdsourced Labeling
2022 · Ming Wu, Qianmu Li, et al. · International Conference on Machine Learning and Computing (ICMLC) · 2
Advancements in Gene Structure Prediction: Innovation and Prospects of Deep Learning Models Apply in Multi-species
2025 · Tong Wang, Jing-Min Yang, et al. · AI Med · 1
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Triplet Attention Mechanism-Based Framework for Tower Hard Hat Detection
2025 · Ming Wu, Guangxian Xu, et al. · IEEE International Conference on Power, Electronics and Computer Applications (ICPECA) · 1
Learning from Crowds with Mutual Correction-Based Co-Training
2022 · Nianshang Tian, Ming Wu, et al. · IEEE International Conference on Knowledge Graph (ICKG) · 1
Learnable Position-based Joint Entity-Relation Extraction Filtering Model
2023 · Jingjing Liu, Juan Zhang, et al. · International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Privacy preserving techniques for decision trees
2021 · Qianmu Li, Tao Li, et al. · International Journal of Information and Computer Security
Works count: 21
Citation count: 189
H-index: 7
I10-index: 5
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