ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm. - Jing Gao 007; Liang Zhao 005; Zhikui Chen; Peng Li 027; Han Xu; Yueming Hu 001 (DASC/PiCom/DataCom/CyberSciTech, 2016)

A High-Order CFS Algorithm for Clustering Big Data. - Fanyu Bu; Zhikui Chen; Peng Li 027; Tong Tang; Ying Zhang (Mob. Inf. Syst., 2016)

A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data. - Peng Li 027; Zhikui Chen; Yueming Hu 001; Yonglin Leng; Qiucen Li (CWSN, 2017)

A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing. - Peng Li 027; Zhikui Chen; Laurence T. Yang; Liang Zhao 005; Qingchen Zhang 001 (Neurocomputing, 2017)

An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. - Qingchen Zhang 001; Chunsheng Zhu; Laurence T. Yang; Zhikui Chen; Liang Zhao 005; Peng Li 027 (IEEE Trans. Ind. Informatics, 2017)

A Tucker Deep Computation Model for Mobile Multimedia Feature Learning. - Qingchen Zhang 001; Laurence T. Yang; Xingang Liu; Zhikui Chen; Peng Li 027 (ACM Trans. Multim. Comput. Commun. Appl., 2017)

A Deep CFS Model for Text Clustering. - Bin Lv; Weiliang Hou; Guohua Liu; Jing Gao 007; Xu Yuan 002; Peng Li 027; Zhikui Chen (iThings/GreenCom/CPSCom/SmartData, 2018)

Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems. - Xu Yuan 002; Mingyang Sun; Zhikui Chen; Jing Gao 007; Peng Li 027 (IEEE Access, 2018)

High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (Inf. Fusion, 2018)

A survey on deep learning for big data. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (Inf. Fusion, 2018)

Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027; M. Jamal Deen (IEEE Internet Things J., 2018)

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification. - Peng Li 027; Zhikui Chen; Laurence T. Yang; Jing Gao 007; Qingchen Zhang 001; M. Jamal Deen (IEEE Netw., 2018)

A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (IEEE Netw., 2018)

Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things. - Peng Li 027; Zhikui Chen; Laurence Tianruo Yang; Qingchen Zhang 001; M. Jamal Deen (IEEE Trans. Ind. Informatics, 2018)

A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (IEEE Trans. Ind. Informatics, 2018)

An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics. - Qingchen Zhang 001; Laurence T. Yang; Zheng Yan 002; Zhikui Chen; Peng Li 027 (IEEE Trans. Ind. Informatics, 2018)

An Improved Deep Computation Model Based on Canonical Polyadic Decomposition. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning. - Xu Yuan 002; Jianing Zhang; Zhikui Chen; Jing Gao 007; Peng Li 027 (DASC/PiCom/DataCom/CyberSciTech, 2019)

A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things. - Jing Gao 007; Peng Li 027; Zhikui Chen (Future Gener. Comput. Syst., 2019)

A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things. - Chenhui Yao; Shuodong Wu; Zhuo Liu; Peng Li 027 (Future Gener. Comput. Syst., 2019)

Secure weighted possibilistic c-means algorithm on cloud for clustering big data. - Qingchen Zhang 001; Laurence T. Yang; Arcangelo Castiglione; Zhikui Chen; Peng Li 027 (Inf. Sci., 2019)

Smart Chinese medicine for hypertension treatment with a deep learning model. - Qingchen Zhang 001; Changchuan Bai; Zhikui Chen; Peng Li 027; Shuo Wang; He Gao (J. Netw. Comput. Appl., 2019)

Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (ACM Trans. Cyber Phys. Syst., 2019)

An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data. - Peng Li 027; Zhikui Chen; Laurence Tianruo Yang; Jing Gao 007; Qingchen Zhang 001; M. Jamal Deen (IEEE Trans. Ind. Informatics, 2019)

An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing. - Qingchen Zhang 001; Laurence Tianruo Yang; Zhikui Chen; Peng Li 027; Fanyu Bu (IEEE Trans. Ind. Informatics, 2019)

A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling. - Qingchen Zhang 001; Man Lin; Laurence T. Yang; Zhikui Chen; Samee U. Khan; Peng Li 027 (IEEE Trans. Serv. Comput., 2019)

Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model. - Qingchen Zhang 001; Man Lin; Laurence T. Yang; Zhikui Chen; Peng Li 027 (IEEE Trans. Sustain. Comput., 2019)

Image Annotation based on Semantic Structure and Graph Learning. - Zhikui Chen; Meng Wang; Jing Gao 007; Peng Li 027 (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Enhancing challenge-based collaborative intrusion detection networks against insider attacks using blockchain. - Weizhi Meng 001; Wenjuan Li 001; Laurence T. Yang; Peng Li 027 (Int. J. Inf. Sec., 2020)

A Survey on Deep Learning for Multimodal Data Fusion. - Jing Gao 007; Peng Li 027; Zhikui Chen; Jianing Zhang (Neural Comput., 2020)

Incremental Deep Computation Model for Wireless Big Data Feature Learning. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (IEEE Trans. Big Data, 2020)

A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering. - Peng Li 027; Zhikui Chen; Jing Gao 007; Jianing Zhang; Shan Jin 003; Wenhan Zhao; Feng Xia 001; Lu Wang (Wirel. Commun. Mob. Comput., 2020)

Multi-View Representation Learning via Dual Optimal Transportation. - Peng Li 027; Jing Gao 007; Bin Zhai; Jianing Zhang; Zhikui Chen (IEEE Access, 2021)

Averaged Soft Actor-Critic for Deep Reinforcement Learning. - Feng Ding 016; Guanfeng Ma; Zhikui Chen; Jing Gao 007; Peng Li 027 (Complex., 2021)

Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing. - Qingchen Zhang 001; Changchuan Bai; Zhikui Chen; Peng Li 027; Hang Yu 014; Shuo Wang; He Gao (Concurr. Comput. Pract. Exp., 2021)

Semisupervised Deep Embedded Clustering with Adaptive Labels. - Zhikui Chen; Chaojie Li; Jing Gao 007; Jianing Zhang; Peng Li 027 (Sci. Program., 2021)

A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. - Qingchen Zhang 001; Changchuan Bai; Laurence T. Yang; Zhikui Chen; Peng Li 027; Hang Yu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition. - Ruixin Ma; Junying Lou; Peng Li 027; Jing Gao 007 (Wirel. Commun. Mob. Comput., 2021)

Self-Paced Pseudo Label Refinement for Multi-view Subspace Clustering. - Xin Song; Zhikui Chen; Jing Gao 007; Jianning Zhang; Peng Li 027 (HPCC/DSS/SmartCity/DependSys, 2022)

Relational learning with hierarchical attention encoder and recoding validator for few-shot knowledge graph completion. - Xu Yuan 002; Chengchuan Xu; Peng Li 027; Zhikui Chen (SAC, 2022)

LEGAN: A Light and Effective Generative Adversarial Network for medical image synthesis. - Jing Gao 007; Wenhan Zhao; Peng Li 027; Wei Huang; Zhikui Chen (Comput. Biol. Medicine, 2022)

A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine. - Xu Zhang; Zhikui Chen; Jing Gao 007; Wei Huang; Peng Li 027; Jianing Zhang (Knowl. Based Syst., 2022)

PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Peng Li 027 (IEEE Trans. Big Data, 2022)

Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework. - Zhanxin Gang; Chaoran Jia; Chenhua Guo; Peng Li 027; Jing Gao 007; Liang Zhao 005 (BIBM, 2023)

A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation. - Jianing Zhang; Jing Gao 007; Zhikui Chen; Junyang Zhou; Yingshu Liu; Peng Li 027 (BIBM, 2023)

Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering. - Xuan Chen; Zhikui Chen; Liang Yao; Shubin Ma; Peng Li 027; Shuo Yu 001 (HPCC/DSS/SmartCity/DependSys, 2023)

A Deep Multimodal Adversarial Cycle-Consistent Network for Smart Enterprise System. - Peng Li 027; Asif Ali Laghari; Mamoon Rashid 001; Jing Gao 007; Thippa Reddy Gadekallu; Abdul Rehman Javed; Shoulin Yin (IEEE Trans. Ind. Informatics, 2023)

Deep Reinforcement Clustering. - Peng Li 027; Jing Gao 007; Jianing Zhang; Shan Jin 003; Zhikui Chen (IEEE Trans. Multim., 2023)

Deep Incomplete Multiview Clustering via Information Bottleneck for Pattern Mining of Data in Extreme-Environment IoT. - Jing Gao 007; Meng Liu; Peng Li 027; Asif Ali Laghari; Abdul Rehman Javed; Nancy Victor; Thippa Reddy Gadekallu (IEEE Internet Things J., 2024)

Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT. - Jing Gao 007; Peng Li 027; Asif Ali Laghari; Gautam Srivastava 001; Thippa Reddy Gadekallu; Sidra Abbas; Jianing Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Deep Multiview Adaptive Clustering With Semantic Invariance. - Jing Gao 007; Meng Liu; Peng Li 027; Jianing Zhang; Zhikui Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic-static Feature Fusion with Multi-scale Attention for Continuous Blood Glucose Prediction. - Jing Gao 007; Chenhua Guo; Yingshu Liu; Peng Li 027; Jianing Zhang; Meng Liu (ICASSP, 2025)

Hard Sample Aware Robust Contrastive Learning for Multi-View Clustering. - Yuanzhe Cai; Zhikui Chen; Jing Gao 007; Peng Li 027; Jianing Zhang (ICASSP, 2025)