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ORCIDPeng Li 0027
- > Home > Persons > Peng Li 0027
Publications
- 2023
[j38]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): 693-702 (2023)- [j37]Peng Li, Jing Gao, Jianing Zhang, Shan Jin, Zhikui Chen:
Deep Reinforcement Clustering. IEEE Trans. Multim. 25: 8183-8193 (2023) - 2022
- [j36]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: 105878 (2022) - [j35]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: 108060 (2022) - [c7]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: 777-784 - 2021
- [j33]Peng Li, Jing Gao, Bin Zhai, Jianing Zhang, Zhikui Chen:
Multi-View Representation Learning via Dual Optimal Transportation. IEEE Access 9: 144976-144984 (2021) - [j32]Feng Ding, Guanfeng Ma, Zhikui Chen, Jing Gao, Peng Li:
Averaged Soft Actor-Critic for Deep Reinforcement Learning. Complex. 2021: 6658724:1-6658724:16 (2021) - [j30]Zhikui Chen, Chaojie Li, Jing Gao, Jianing Zhang, Peng Li:
Semisupervised Deep Embedded Clustering with Adaptive Labels. Sci. Program. 2021: 6613452:1-6613452:12 (2021) - [j28]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: 8868781:1-8868781:9 (2021) - 2020
- [j26]Jing Gao, Peng Li, Zhikui Chen, Jianing Zhang:
A Survey on Deep Learning for Multimodal Data Fusion. Neural Comput. 32(5): 829-864 (2020) - [j24]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: 8880430:1-8880430:9 (2020) - [c5]Zhikui Chen, Meng Wang, Jing Gao, Peng Li:
Image Annotation based on Semantic Structure and Graph Learning. DASC/PiCom/CBDCom/CyberSciTech 2020: 451-456 - 2019
- [j22]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: 508-516 (2019) - [j18]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): 1341-1349 (2019) - [c4]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: 128-134 - 2018
- [j14]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: 17942-17951 (2018) - [j9]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): 22-27 (2018) - [c3]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: 132-137 - 2016
- [c1]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: 537-543
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