Peng Li

Orcid: 0000-0002-7138-430X

Affiliations:
  • 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.

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Timeline

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Bibliography

2024
Deep Multiview Adaptive Clustering With Semantic Invariance.
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
Deep Reinforcement Clustering.
IEEE Trans. Multim., 2023

A Deep Multimodal Adversarial Cycle-Consistent Network for Smart Enterprise System.
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

A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation.
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

Self-Paced Pseudo Label Refinement for Multi-view Subspace Clustering.
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

A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Semisupervised Deep Embedded Clustering with Adaptive Labels.
Sci. Program., 2021

Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing.
Concurr. Comput. Pract. Exp., 2021

Averaged Soft Actor-Critic for Deep Reinforcement Learning.
Complex., 2021

Multi-View Representation Learning via Dual Optimal Transportation.
IEEE Access, 2021

2020
A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering.
Wirel. Commun. Mob. Comput., 2020

Incremental Deep Computation Model for Wireless Big Data Feature Learning.
IEEE Trans. Big Data, 2020

A Survey on Deep Learning for Multimodal Data Fusion.
Neural Comput., 2020

Enhancing challenge-based collaborative intrusion detection networks against insider attacks using blockchain.
Int. J. Inf. Sec., 2020

Image Annotation based on Semantic Structure and Graph Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2020

2019
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model.
IEEE Trans. Sustain. Comput., 2019

A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling.
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

Smart Chinese medicine for hypertension treatment with a deep learning model.
J. Netw. Comput. Appl., 2019

Secure weighted possibilistic c-means algorithm on cloud for clustering big data.
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

Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition.
IEEE Trans. Syst. Man Cybern. Syst., 2018

An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics.
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

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification.
IEEE Netw., 2018

Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning.
IEEE Internet Things J., 2018

A survey on deep learning for big data.
Inf. Fusion, 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

A Deep CFS Model for Text Clustering.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning.
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

A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing.
Neurocomputing, 2017

A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data.
Proceedings of the Wireless Sensor Networks, 2017

2016
A High-Order CFS Algorithm for Clustering Big Data.
Mob. Inf. Syst., 2016

ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016


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