A Universal Storage Architecture for Big Data in Cloud Environment. - Qingchen Zhang 001; Zhikui Chen; Ailing Lv; Liang Zhao 005; Fangyi Liu; Jian Zou (GreenCom/iThings/CPScom, 2013)

Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. - Qingchen Zhang 001; Zhikui Chen; Liang Zhao 005 (WAIM Workshops, 2013)

A weighted kernel possibilistic c-means algorithm based on cloud computing for clustering big data. - Qingchen Zhang 001; Zhikui Chen (Int. J. Commun. Syst., 2014)

A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data. - Qingchen Zhang 001; Zhikui Chen (Int. J. Distributed Sens. Networks, 2014)

A nodes scheduling model based on Markov chain prediction for big streaming data analysis. - Qingchen Zhang 001; Zhikui Chen; Laurence T. Yang (Int. J. Commun. Syst., 2015)

Distributed fuzzy c-means algorithms for big sensor data based on cloud computing. - Qingchen Zhang 001; Zhikui Chen; Yonglin Leng (Int. J. Sens. Networks, 2015)

Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen (IEEE Trans. Computers, 2016)

Incomplete high-dimensional data imputation algorithm using feature selection and clustering analysis on cloud. - Fanyu Bu; Zhikui Chen; Qingchen Zhang 001; Laurence T. Yang (J. Supercomput., 2016)

PPHOCFS: Privacy Preserving High-Order CFS Algorithm on the Cloud for Clustering Multimedia Data. - Qingchen Zhang 001; Hua Zhong 006; Laurence T. Yang; Zhikui Chen; Fanyu Bu (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Deep Computation Model for Unsupervised Feature Learning on Big Data. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen (IEEE Trans. Serv. Comput., 2016)

Double-Q Learning-Based DVFS for Multi-core Real-Time Systems. - Hui Huang 019; Man Lin; Qingchen Zhang 001 (iThings/GreenCom/CPSCom/SmartData, 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)

Internet of Everything. - Laurence T. Yang; Beniamino Di Martino; Qingchen Zhang 001 (Mob. Inf. Syst., 2017)

A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data. - Qingchen Zhang 001; Laurence T. Yang; Zhikui Chen; Feng Xia 001 (IEEE Syst. J., 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)

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)

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)

IoT Big Data Analytics. - Salimur Choudhury; Qiang Ye 001; Mianxiong Dong; Qingchen Zhang 001 (Wirel. Commun. Mob. Comput., 2019)

An adaptive deep learning model to differentiate syndromes of infectious fever in smart medicine. - Zhuo Liu; Changchuan Bai; Hang Yu 014; Ying Zhu; Tai-Hua Wu; Fanyu Bu; Qingchen Zhang 001 (Future Gener. Comput. Syst., 2020)

A GPU-based residual network for medical image classification in smart medicine. - Qingchen Zhang 001; Changchuan Bai; Zhuo Liu; Laurence T. Yang; Hang Yu 014; Jingyuan Zhao; Hong Yuan (Inf. Sci., 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)

An Edge-Cloud-Aided High-Order Possibilistic c-Means Algorithm for Big Data Clustering. - Fanyu Bu; Qingchen Zhang 001; Laurence T. Yang; Hang Yu 014 (IEEE Trans. Fuzzy Syst., 2020)

Autonomous Power Management With Double-Q Reinforcement Learning Method. - Hui Huang 019; Man Lin; Laurence T. Yang; Qingchen Zhang 001 (IEEE Trans. Ind. Informatics, 2020)

A deep residual computation model for heterogeneous data learning in smart Internet of Things. - Hang Yu 014; Laurence T. Yang; Xiangchao Fan; Qingchen Zhang 001 (Appl. Soft Comput., 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)

Securing the Internet-of-Things: Advances, challenges, future trends. - Ximeng Liu; Yi Mu 001; Jianting Ning; Qingchen Zhang 001 (Trans. Emerg. Telecommun. Technol., 2021)

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives. - Hang Yu 014; Laurence T. Yang; Qingchen Zhang 001; David Armstrong; M. Jamal Deen (Neurocomputing, 2021)

An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data. - Xia Xie; Qingchen Zhang 001 (Inf. Fusion, 2021)

Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems. - Cheng Dai; Xingang Liu; Laurence T. Yang; Minghao Ni; Zhenchao Ma; Qingchen Zhang 001; M. Jamal Deen (IEEE Internet Things J., 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)

A Cloud-Edge-Aided Incremental High-Order Possibilistic c-Means Algorithm for Medical Data Clustering. - Fanyu Bu; Chengsheng Hu; Qingchen Zhang 001; Changchuan Bai; Laurence T. Yang; Thar Baker (IEEE Trans. Fuzzy Syst., 2021)

Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data. - Zhenchao Ma; Laurence Tianruo Yang; Qingchen Zhang 001 (IEEE Trans. Ind. Informatics, 2021)

Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays. - Hang Yu 014; Qingchen Zhang 001 (BIBM, 2022)

A Deep Reinforcement Computation Model for Sepsis Treatment. - Hang Yu 014; Qingchen Zhang 001 (BIBM, 2022)

A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals. - Shilin Zhang; Qingchen Zhang 001 (BIBM, 2022)

A differential privacy based prototypical network for medical data learning. - Yu Guo; Feng Yang; Pengyue Sun; Qingchen Zhang 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

BRCNN: Chinese medical question answer selection based on BERT. - Ruilin Qi; Pengyue Sun; Qingchen Zhang 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 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)

TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. - Debin Liu; Laurence T. Yang; Puming Wang; Ruonan Zhao; Qingchen Zhang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

MLLCD: A Meta Learning-based Method for Lung Cancer Diagnosis Using Histopathology Images. - Xiangjun Hu; Suixue Wang; Hang Li 006; Qingchen Zhang 001 (BIBM, 2023)

Biomarker discovery using multimodal data with the potential application in lung tumor diagnosis. - Ruhao Liu; Qingchen Zhang 001; Kai Wang; Shuling Wang (BIBM, 2023)

Attention-based BRCNN for Chinese Medical Question Answering. - Ruilin Qi; Hang Li 006; Qingchen Zhang 001 (BIBM, 2023)

HC-MAE: Hierarchical Cross-attention Masked Autoencoder Integrating Histopathological Images and Multi-omics for Cancer Survival Prediction. - Suixue Wang; Xiangjun Hu; Qingchen Zhang 001 (BIBM, 2023)

ADCL: an adaptive dual contrastive learning framework based on MHGAT and VAE for cell type deconvolution in spatial transcriptomics. - Shilin Zhang; Qingchen Zhang 001 (BIBM, 2023)

Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition. - Xingfeng Li 001; Xiaohan Shi; Desheng Hu; Yongwei Li; Qingchen Zhang 001; Zhengxia Wang; Masashi Unoki; Masato Akagi (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance. - Bocheng Ren; Laurence T. Yang; Qingchen Zhang 001; Jun Feng 007; Xin Nie (IEEE Trans. Netw. Sci. Eng., 2023)

A Compressed Model-Agnostic Meta-Learning Model Based on Pruning for Disease Diagnosis. - Xiangjun Hu; Xiuxiu Ding; Dongpeng Bai; Qingchen Zhang 001 (J. Circuits Syst. Comput., 2023)

Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks. - Bocheng Ren; Laurence T. Yang; Qingchen Zhang 001; Jun Feng 007; Xin Nie (IEEE Trans. Neural Networks Learn. Syst., 2023)

Augmented Mycobiome-Based Cancer Detection by an Interpretable Large Model. - Dongmei He; Xin Yang; Buchao Zhan; Zilong Zhang; Qingchen Zhang 001; Shankai Yan (BIBM, 2024)

ContraMAE: Contrastive alignment masked autoencoder framework for cancer survival prediction. - Suixue Wang; Huiyuan Lai; Shuling Wang; Qingchen Zhang 001 (BIBM, 2024)

GCLM-CDR: a graph contrastive learning method with multi-omics for cancer drug response prediction. - Zeyu Yao; Qingchen Zhang 001 (BIBM, 2024)

RNASite: A one-stop tool website that integrates multiple RNA modification site databases and servers. - Jiahao Yuan; Xingfeng Li 001; Zilong Zhang; Qingchen Zhang 001; Quan Zou 001; Feifei Cui (BIBM, 2024)

Attention-aware Rare Disease Diagnosis via Graph Attention Neural Network. - Xin Yang; Dongmei He; Buchao Zhan; Qingchen Zhang 001; Shankai Yan (ICCBB, 2024)

Self-Supervised Learning for Graph Dataset Condensation. - Yuxiang Wang; Xiao Yan 002; Shiyu Jin; Hao Huang 001; Quanqing Xu; Qingchen Zhang 001; Bo Du 001; Jiawei Jiang 001 (KDD, 2024)

MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks. - Hao Duan; Qingchen Zhang 001; Feifei Cui; Quan Zou 001; Zilong Zhang (PLoS Comput. Biol., 2024)

Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning. - Xiuhao Fu; Hao Duan; Xiaofeng Zang; Chunling Liu; Xingfeng Li 001; Qingchen Zhang 001; Zilong Zhang; Quan Zou 001; Feifei Cui (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Machine learning-based prediction model for distant metastasis of breast cancer. - Hao Duan; Yu Zhang; Haoye Qiu; Xiuhao Fu; Chunling Liu; Xiaofeng Zang; Anqi Xu; Ziyue Wu; Xingfeng Li 001; Qingchen Zhang 001; Zilong Zhang; Feifei Cui (Comput. Biol. Medicine, 2024)

Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring. - Kai Fang 001; Wei Wang 077; Marcin Wozniak; Qingchen Zhang 001; Keping Yu; Junxin Chen 001; Amr Tolba; Leo Yu Zhang (IEEE J. Biomed. Health Informatics, 2024)

A Cloud-Edge Collaboration Framework for Cancer Survival Prediction to Develop Medical Consumer Electronic Devices. - Suixue Wang; Zhigao Zheng 001; Xinghong Wang; Qingchen Zhang 001; Zhuo Liu (IEEE Trans. Consumer Electron., 2024)

Layer-Level Adaptive Gradient Perturbation Protecting Deep Learning Based on Differential Privacy. - Xiangfei Zhang; Qingchen Zhang 001; Jiang Liming (CAAI Trans. Intell. Technol., 2025)

PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model. - Ruiqi Liu; Shankai Yan; Zilong Zhang; Junlin Xu; Yajie Meng; Qingchen Zhang 001; Leyi Wei; Quan Zou 001; Feifei Cui (Comput. Biol. Chem., 2025)

Dual-channel batch constrained deep Q-learning for sepsis treatment. - Huidong Liu; Zhang Xiangfei; Yu Hang; Qingchen Zhang 001 (Eng. Appl. Artif. Intell., 2025)

Cancelable Binary Face Templates Generation Based on Partial Cake-Cutting Transformation and Spherical Hashing. - Qikang Zhang; Yuxing Li; Qingchen Zhang 001; Zifeng Huang; Heng Zhao 001; Zhicheng X. Cao; Liaojun Pang (IEEE Internet Things J., 2025)

AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction. - Yuanhao Li; Aoyun Geng; Zheyu Zhou; Feifei Cui; Junlin Xu; Yajie Meng; Leyi Wei; Quan Zou 001; Qingchen Zhang 001; Zilong Zhang (J. Chem. Inf. Model., 2025)

Defending against attacks in deep learning with differential privacy: a survey. - Zhang Xiangfei; Qingchen Zhang 001 (Artif. Intell. Rev., 2025)

RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA-protein binding sites prediction. - Jiangbo Zhang; Yunhui Peng; Feifei Cui; Zilong Zhang; Shankai Yan; Qingchen Zhang 001 (BMC Bioinform., 2025)