Peng Li

55 papers A* 1Misc 3Journal 41Unranked 9
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Dynamic-static Feature Fusion with Multi-scale Attention for Continuous Blood Glucose Prediction.
ICASSP
Jing Gao, Chenhua Guo, Yingshu Liu, Peng Li, Jianing Zhang, Meng Liu
2025 Misc conf
Hard Sample Aware Robust Contrastive Learning for Multi-View Clustering.
ICASSP
Yuanzhe Cai, Zhikui Chen, Jing Gao, Peng Li, Jianing Zhang
2025 A* conf
MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering.
IJCAI
Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo
2024 J jnl
Deep Incomplete Multiview Clustering via Information Bottleneck for Pattern Mining of Data in Extreme-Environment IoT.
IEEE Internet Things J.
Jing Gao, Meng Liu, Peng Li, Asif Ali Laghari, Abdul Rehman Javed, Nancy Victor, Thippa Reddy Gadekallu
2024 J jnl
Deep Multiview Adaptive Clustering With Semantic Invariance.
IEEE Trans. Neural Networks Learn. Syst.
Jing Gao, Meng Liu, Peng Li, Jianing Zhang, Zhikui Chen
2024 J jnl
Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT.
ACM Trans. Multim. Comput. Commun. Appl.
Jing Gao, Peng Li, Asif Ali Laghari, Gautam Srivastava, Thippa Reddy Gadekallu, Sidra Abbas, Jianing Zhang
2023 J jnl
A Deep Multimodal Adversarial Cycle-Consistent Network for Smart Enterprise System.
IEEE Trans. Ind. Informatics
Peng Li, Asif Ali Laghari, Mamoon Rashid, Jing Gao, Thippa Reddy Gadekallu, Abdul Rehman Javed, Shoulin Yin
2023 — conf
A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation.
BIBM
Jianing Zhang, Jing Gao, Zhikui Chen, Junyang Zhou, Yingshu Liu, Peng Li
2023 — conf
Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering.
HPCC/DSS/SmartCity/DependSys
Xuan Chen, Zhikui Chen, Liang Yao, Shubin Ma, Peng Li, Shuo Yu
2023 J jnl
Deep Reinforcement Clustering.
IEEE Trans. Multim.
Peng Li, Jing Gao, Jianing Zhang, Shan Jin, Zhikui Chen
2023 — conf
Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework.
BIBM
Zhanxin Gang, Chaoran Jia, Chenhua Guo, Peng Li, Jing Gao, Liang Zhao
2022 J jnl
A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine.
Knowl. Based Syst.
Xu Zhang, Zhikui Chen, Jing Gao, Wei Huang, Peng Li, Jianing Zhang
2022 J jnl
LEGAN: A Light and Effective Generative Adversarial Network for medical image synthesis.
Comput. Biol. Medicine
Jing Gao, Wenhan Zhao, Peng Li, Wei Huang, Zhikui Chen
2022 J jnl
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing.
IEEE Trans. Big Data
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2022 Misc conf
Relational learning with hierarchical attention encoder and recoding validator for few-shot knowledge graph completion.
SAC
Xu Yuan, Chengchuan Xu, Peng Li, Zhikui Chen
2022 — conf
Self-Paced Pseudo Label Refinement for Multi-view Subspace Clustering.
HPCC/DSS/SmartCity/DependSys
Xin Song, Zhikui Chen, Jing Gao, Jianning Zhang, Peng Li
2021 J jnl
A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu
2021 J jnl
Averaged Soft Actor-Critic for Deep Reinforcement Learning.
Complex.
Feng Ding, Guanfeng Ma, Zhikui Chen, Jing Gao, Peng Li
2021 J jnl
Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing.
Concurr. Comput. Pract. Exp.
Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Hang Yu, Shuo Wang, He Gao
2021 J jnl
Multi-View Representation Learning via Dual Optimal Transportation.
IEEE Access
Peng Li, Jing Gao, Bin Zhai, Jianing Zhang, Zhikui Chen
2021 J jnl
Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition.
Wirel. Commun. Mob. Comput.
Ruixin Ma, Junying Lou, Peng Li, Jing Gao
2021 J jnl
Semisupervised Deep Embedded Clustering with Adaptive Labels.
Sci. Program.
Zhikui Chen, Chaojie Li, Jing Gao, Jianing Zhang, Peng Li
2020 J jnl
A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering.
Wirel. Commun. Mob. Comput.
Peng Li, Zhikui Chen, Jing Gao, Jianing Zhang, Shan Jin, Wenhan Zhao, Feng Xia, Lu Wang
2020 J jnl
A Survey on Deep Learning for Multimodal Data Fusion.
Neural Comput.
Jing Gao, Peng Li, Zhikui Chen, Jianing Zhang
2020 J jnl
Enhancing challenge-based collaborative intrusion detection networks against insider attacks using blockchain.
Int. J. Inf. Sec.
Weizhi Meng, Wenjuan Li, Laurence T. Yang, Peng Li
2020 — conf
Image Annotation based on Semantic Structure and Graph Learning.
DASC/PiCom/CBDCom/CyberSciTech
Zhikui Chen, Meng Wang, Jing Gao, Peng Li
2020 J jnl
Incremental Deep Computation Model for Wireless Big Data Feature Learning.
IEEE Trans. Big Data
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2019 J jnl
A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling.
IEEE Trans. Serv. Comput.
Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Samee U. Khan, Peng Li
2019 J jnl
A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things.
Future Gener. Comput. Syst.
Jing Gao, Peng Li, Zhikui Chen
2019 J jnl
A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things.
Future Gener. Comput. Syst.
Chenhui Yao, Shuodong Wu, Zhuo Liu, Peng Li
2019 J jnl
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing.
IEEE Trans. Ind. Informatics
Qingchen Zhang, Laurence Tianruo Yang, Zhikui Chen, Peng Li, Fanyu Bu
2019 J jnl
An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data.
IEEE Trans. Ind. Informatics
Peng Li, Zhikui Chen, Laurence Tianruo Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen
2019 J jnl
Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems.
ACM Trans. Cyber Phys. Syst.
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2019 J jnl
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model.
IEEE Trans. Sustain. Comput.
Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Peng Li
2019 — ed.
Green Energy and Networking - 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings
GreeNets
Jiyu Jin, Peng Li, Lei Fan
2019 — conf
Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning.
DASC/PiCom/DataCom/CyberSciTech
Xu Yuan, Jianing Zhang, Zhikui Chen, Jing Gao, Peng Li
2019 J jnl
Secure weighted possibilistic c-means algorithm on cloud for clustering big data.
Inf. Sci.
Qingchen Zhang, Laurence T. Yang, Arcangelo Castiglione, Zhikui Chen, Peng Li
2019 J jnl
Smart Chinese medicine for hypertension treatment with a deep learning model.
J. Netw. Comput. Appl.
Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Shuo Wang, He Gao
2018 — conf
A Deep CFS Model for Text Clustering.
iThings/GreenCom/CPSCom/SmartData
Bin Lv, Weiliang Hou, Guohua Liu, Jing Gao, Xu Yuan, Peng Li, Zhikui Chen
2018 J jnl
A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks.
IEEE Netw.
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018 J jnl
A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning.
IEEE Trans. Ind. Informatics
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018 J jnl
A survey on deep learning for big data.
Inf. Fusion
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018 J jnl
An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics.
IEEE Trans. Ind. Informatics
Qingchen Zhang, Laurence T. Yang, Zheng Yan, Zhikui Chen, Peng Li
2018 J jnl
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition.
IEEE Trans. Syst. Man Cybern. Syst.
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018 J jnl
An Improved Stacked Auto-Encoder for Network Traffic Flow Classification.
IEEE Netw.
Peng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen
2018 J jnl
Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things.
IEEE Trans. Ind. Informatics
Peng Li, Zhikui Chen, Laurence Tianruo Yang, Qingchen Zhang, M. Jamal Deen
2018 J jnl
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT.
Inf. Fusion
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018 J jnl
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning.
IEEE Internet Things J.
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li, M. Jamal Deen
2018 J jnl
Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems.
IEEE Access
Xu Yuan, Mingyang Sun, Zhikui Chen, Jing Gao, Peng Li
2017 J jnl
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Qingchen Zhang, Laurence T. Yang, Xingang Liu, Zhikui Chen, Peng Li
2017 — conf
A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data.
CWSN
Peng Li, Zhikui Chen, Yueming Hu, Yonglin Leng, Qiucen Li
2017 J jnl
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing.
Neurocomputing
Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang
2017 J jnl
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things.
IEEE Trans. Ind. Informatics
Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li
2016 J jnl
A High-Order CFS Algorithm for Clustering Big Data.
Mob. Inf. Syst.
Fanyu Bu, Zhikui Chen, Peng Li, Tong Tang, Ying Zhang
2016 — conf
ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm.
DASC/PiCom/DataCom/CyberSciTech
Jing Gao, Liang Zhao, Zhikui Chen, Peng Li, Han Xu, Yueming Hu