Peng Li
Orcid: 0000-0002-7138-430XAffiliations:
- Dalian University of Technology, School of Software Technology, China
- McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (former)
According to our database1,
Peng Li
authored at least 51 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024
Deep Incomplete Multiview Clustering via Information Bottleneck for Pattern Mining of Data in Extreme-Environment IoT.
IEEE Internet Things J., 2024
2023
IEEE Trans. Ind. Informatics, 2023
Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing.
IEEE Trans. Big Data, 2022
A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine.
Knowl. Based Syst., 2022
LEGAN: A Light and Effective Generative Adversarial Network for medical image synthesis.
Comput. Biol. Medicine, 2022
Relational learning with hierarchical attention encoder and recoding validator for few-shot knowledge graph completion.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
2021
Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition.
Wirel. Commun. Mob. Comput., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing.
Concurr. Comput. Pract. Exp., 2021
IEEE Access, 2021
2020
Wirel. Commun. Mob. Comput., 2020
IEEE Trans. Big Data, 2020
Enhancing challenge-based collaborative intrusion detection networks against insider attacks using blockchain.
Int. J. Inf. Sec., 2020
Proceedings of the IEEE Intl Conf on Dependable, 2020
2019
IEEE Trans. Sustain. Comput., 2019
IEEE Trans. Serv. Comput., 2019
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing.
IEEE Trans. Ind. Informatics, 2019
An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data.
IEEE Trans. Ind. Informatics, 2019
Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems.
ACM Trans. Cyber Phys. Syst., 2019
J. Netw. Comput. Appl., 2019
Inf. Sci., 2019
A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things.
Future Gener. Comput. Syst., 2019
A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things.
Future Gener. Comput. Syst., 2019
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
IEEE Trans. Ind. Informatics, 2018
A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning.
IEEE Trans. Ind. Informatics, 2018
Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things.
IEEE Trans. Ind. Informatics, 2018
A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks.
IEEE Netw., 2018
IEEE Netw., 2018
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning.
IEEE Internet Things J., 2018
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT.
Inf. Fusion, 2018
Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems.
IEEE Access, 2018
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
2017
ACM Trans. Multim. Comput. Commun. Appl., 2017
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2017
Neurocomputing, 2017
Proceedings of the Wireless Sensor Networks, 2017
2016
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016