Peng Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 48

Top Topics

Mobile Multimedia

Insider Attacks

Top Venues

IEEE Trans. Ind. Informatics

Future Gener. Comput. Syst.

Wirel. Commun. Mob. Comput.

Publications

Jing Gao, Meng Liu, Peng Li, Asif Ali Laghari, Abdul Rehman Javed, Nancy Victor, Thippa Reddy Gadekallu
Deep Incomplete Multiview Clustering via Information Bottleneck for Pattern Mining of Data in Extreme-Environment IoT. IEEE Internet Things J. 11 (16) (2024)
Jing Gao, Peng Li, Asif Ali Laghari, Gautam Srivastava, Thippa Reddy Gadekallu, Sidra Abbas, Jianing Zhang
Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT. ACM Trans. Multim. Comput. Commun. Appl. 20 (6) (2024)
Peng Li, Jing Gao, Jianing Zhang, Shan Jin, Zhikui Chen
Deep Reinforcement Clustering. IEEE Trans. Multim. 25 (2023)
Xuan Chen, Zhikui Chen, Liang Yao, Shubin Ma, Peng Li, Shuo Yu
Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering. HPCC/DSS/SmartCity/DependSys (2023)
Peng Li, Asif Ali Laghari, Mamoon Rashid, Jing Gao, Thippa Reddy Gadekallu, Abdul Rehman Javed, Shoulin Yin
A Deep Multimodal Adversarial Cycle-Consistent Network for Smart Enterprise System. IEEE Trans. Ind. Informatics 19 (1) (2023)
Xu Yuan, Chengchuan Xu, Peng Li, Zhikui Chen
Relational learning with hierarchical attention encoder and recoding validator for few-shot knowledge graph completion. SAC (2022)
Xu Zhang, Zhikui Chen, Jing Gao, Wei Huang, Peng Li, Jianing Zhang
A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine. Knowl. Based Syst. 239 (2022)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing. IEEE Trans. Big Data 8 (1) (2022)
Xin Song, Zhikui Chen, Jing Gao, Jianning Zhang, Peng Li
Self-Paced Pseudo Label Refinement for Multi-view Subspace Clustering. HPCC/DSS/SmartCity/DependSys (2022)
Jing Gao, Wenhan Zhao, Peng Li, Wei Huang, Zhikui Chen
LEGAN: A Light and Effective Generative Adversarial Network for medical image synthesis. Comput. Biol. Medicine 148 (2022)
Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Hang Yu, Shuo Wang, He Gao
Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing. Concurr. Comput. Pract. Exp. 33 (7) (2021)
Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu
A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Peng Li, Jing Gao, Bin Zhai, Jianing Zhang, Zhikui Chen
Multi-View Representation Learning via Dual Optimal Transportation. IEEE Access 9 (2021)
Feng Ding, Guanfeng Ma, Zhikui Chen, Jing Gao, Peng Li
Averaged Soft Actor-Critic for Deep Reinforcement Learning. Complex. 2021 (2021)
Zhikui Chen, Chaojie Li, Jing Gao, Jianing Zhang, Peng Li
Semisupervised Deep Embedded Clustering with Adaptive Labels. Sci. Program. 2021 (2021)
Ruixin Ma, Junying Lou, Peng Li, Jing Gao
Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition. Wirel. Commun. Mob. Comput. 2021 (2021)
Weizhi Meng, Wenjuan Li, Laurence T. Yang, Peng Li
Enhancing challenge-based collaborative intrusion detection networks against insider attacks using blockchain. Int. J. Inf. Sec. 19 (3) (2020)
Zhikui Chen, Meng Wang, Jing Gao, Peng Li
Image Annotation based on Semantic Structure and Graph Learning. DASC/PiCom/CBDCom/CyberSciTech (2020)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
Incremental Deep Computation Model for Wireless Big Data Feature Learning. IEEE Trans. Big Data 6 (2) (2020)
Peng Li, Zhikui Chen, Jing Gao, Jianing Zhang, Shan Jin, Wenhan Zhao, Feng Xia, Lu Wang
A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering. Wirel. Commun. Mob. Comput. 2020 (2020)
Jing Gao, Peng Li, Zhikui Chen, Jianing Zhang
A Survey on Deep Learning for Multimodal Data Fusion. Neural Comput. 32 (5) (2020)
Xu Yuan, Jianing Zhang, Zhikui Chen, Jing Gao, Peng Li
Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning. DASC/PiCom/DataCom/CyberSciTech (2019)
Peng Li, Zhikui Chen, Laurence Tianruo Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen
An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data. IEEE Trans. Ind. Informatics 15 (3) (2019)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 3 (1) (2019)
Jing Gao, Peng Li, Zhikui Chen
A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things. Future Gener. Comput. Syst. 99 (2019)
Qingchen Zhang, Laurence T. Yang, Arcangelo Castiglione, Zhikui Chen, Peng Li
Secure weighted possibilistic c-means algorithm on cloud for clustering big data. Inf. Sci. 479 (2019)
Chenhui Yao, Shuodong Wu, Zhuo Liu, Peng Li
A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things. Future Gener. Comput. Syst. 94 (2019)
Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Shuo Wang, He Gao
Smart Chinese medicine for hypertension treatment with a deep learning model. J. Netw. Comput. Appl. 129 (2019)
Qingchen Zhang, Laurence Tianruo Yang, Zhikui Chen, Peng Li, Fanyu Bu
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing. IEEE Trans. Ind. Informatics 15 (4) (2019)
Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Samee U. Khan, Peng Li
A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling. IEEE Trans. Serv. Comput. 12 (5) (2019)
Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Peng Li
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model. IEEE Trans. Sustain. Comput. 4 (1) (2019)
Qingchen Zhang, Laurence T. Yang, Zheng Yan, Zhikui Chen, Peng Li
An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics. IEEE Trans. Ind. Informatics 14 (7) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition. IEEE Trans. Syst. Man Cybern. Syst. 48 (10) (2018)
Bin Lv, Weiliang Hou, Guohua Liu, Jing Gao, Xu Yuan, Peng Li, Zhikui Chen
A Deep CFS Model for Text Clustering. iThings/GreenCom/CPSCom/SmartData (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li, M. Jamal Deen
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning. IEEE Internet Things J. 5 (4) (2018)
Xu Yuan, Mingyang Sun, Zhikui Chen, Jing Gao, Peng Li
Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems. IEEE Access 6 (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks. IEEE Netw. 32 (4) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning. IEEE Trans. Ind. Informatics 14 (7) (2018)
Peng Li, Zhikui Chen, Laurence Tianruo Yang, Qingchen Zhang, M. Jamal Deen
Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things. IEEE Trans. Ind. Informatics 14 (2) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT. Inf. Fusion 39 (2018)
Peng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen
An Improved Stacked Auto-Encoder for Network Traffic Flow Classification. IEEE Netw. 32 (6) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
A survey on deep learning for big data. Inf. Fusion 42 (2018)
Qingchen Zhang, Laurence T. Yang, Xingang Liu, Zhikui Chen, Peng Li
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning. ACM Trans. Multim. Comput. Commun. Appl. 13 (3s) (2017)
Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing. Neurocomputing 256 (2017)
Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. IEEE Trans. Ind. Informatics 13 (3) (2017)
Peng Li, Zhikui Chen, Yueming Hu, Yonglin Leng, Qiucen Li
A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data. CWSN (2017)
Jing Gao, Liang Zhao, Zhikui Chen, Peng Li, Han Xu, Yueming Hu
ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm. DASC/PiCom/DataCom/CyberSciTech (2016)
Fanyu Bu, Zhikui Chen, Peng Li, Tong Tang, Ying Zhang
A High-Order CFS Algorithm for Clustering Big Data. Mob. Inf. Syst. 2016 (2016)