Qingchen Zhang

Artif. Intell. Rev., October, 2025

AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2025

Cancelable Binary Face Templates Generation Based on Partial Cake-Cutting Transformation and Spherical Hashing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2025

Dual-channel batch constrained deep Q-learning for sepsis treatment.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2025

Layer-Level Adaptive Gradient Perturbation Protecting Deep Learning Based on Differential Privacy.

[BibT_eX]

[DOI]

Xiangfei Zhang

Jiang Liming

CAAI Trans. Intell. Technol., 2025

2024

A Cloud-Edge Collaboration Framework for Cancer Survival Prediction to Develop Medical Consumer Electronic Devices.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., August, 2024

Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, May, 2024

Machine learning-based prediction model for distant metastasis of breast cancer.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, February, 2024

Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2024

Self-Supervised Learning for Graph Dataset Condensation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Attention-aware Rare Disease Diagnosis via Graph Attention Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2024 8th International Conference on Computational Biology and Bioinformatics, 2024

RNASite: A one-stop tool website that integrates multiple RNA modification site databases and servers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

GCLM-CDR: a graph contrastive learning method with multi-omics for cancer drug response prediction.

[BibT_eX]

[DOI]

Zeyu Yao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

ContraMAE: Contrastive alignment masked autoencoder framework for cancer survival prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Augmented Mycobiome-Based Cancer Detection by an Interpretable Large Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Compressed Model-Agnostic Meta-Learning Model Based on Pruning for Disease Diagnosis.

[BibT_eX]

[DOI]

J. Circuits Syst. Comput., January, 2023

Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2023

Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

ADCL: an adaptive dual contrastive learning framework based on MHGAT and VAE for cell type deconvolution in spatial transcriptomics.

[BibT_eX]

[DOI]

Shilin Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

HC-MAE: Hierarchical Cross-attention Masked Autoencoder Integrating Histopathological Images and Multi-omics for Cancer Survival Prediction.

[BibT_eX]

[DOI]

Suixue Wang

Xiangjun Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Attention-based BRCNN for Chinese Medical Question Answering.

[BibT_eX]

[DOI]

Ruilin Qi

Hang Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Biomarker discovery using multimodal data with the potential application in lung tumor diagnosis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

MLLCD: A Meta Learning-based Method for Lung Cancer Diagnosis Using Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2022

PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

BRCNN: Chinese medical question answer selection based on BERT.

[BibT_eX]

[DOI]

Ruilin Qi

Pengyue Sun

Proceedings of the IEEE Smartworld, 2022

A differential privacy based prototypical network for medical data learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Smartworld, 2022

A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals.

[BibT_eX]

[DOI]

Shilin Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A Deep Reinforcement Computation Model for Sepsis Treatment.

[BibT_eX]

[DOI]

Hang Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays.

[BibT_eX]

[DOI]

Hang Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data.

[BibT_eX]

[DOI]

Zhenchao Ma

IEEE Trans. Ind. Informatics, 2021

A Cloud-Edge-Aided Incremental High-Order Possibilistic c-Means Algorithm for Medical Data Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2021

A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data.

[BibT_eX]

[DOI]

Xia Xie

Inf. Fusion, 2021

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Securing the Internet-of-Things: Advances, challenges, future trends.

[BibT_eX]

[DOI]

Trans. Emerg. Telecommun. Technol., 2021

Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2021

A deep residual computation model for heterogeneous data learning in smart Internet of Things.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

Autonomous Power Management With Double-Q Reinforcement Learning Method.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2020

An Edge-Cloud-Aided High-Order Possibilistic c-Means Algorithm for Big Data Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Incremental Deep Computation Model for Wireless Big Data Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2020

A GPU-based residual network for medical image classification in smart medicine.

[BibT_eX]

[DOI]

Inf. Sci., 2020

An adaptive deep learning model to differentiate syndromes of infectious fever in smart medicine.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

2019

IoT Big Data Analytics.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2019

Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model.

[BibT_eX]

[DOI]

IEEE Trans. Sustain. Comput., 2019

A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2019

An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing.

[BibT_eX]

[DOI]

Fanyu Bu

IEEE Trans. Ind. Informatics, 2019

An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data.

[BibT_eX]

[DOI]

Jing Gao

M. Jamal Deen

IEEE Trans. Ind. Informatics, 2019

Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems.

[BibT_eX]

[DOI]

ACM Trans. Cyber Phys. Syst., 2019

Smart Chinese medicine for hypertension treatment with a deep learning model.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2019

Secure weighted possibilistic c-means algorithm on cloud for clustering big data.

[BibT_eX]

[DOI]

Arcangelo Castiglione

Inf. Sci., 2019

2018

An Improved Deep Computation Model Based on Canonical Polyadic Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things.

[BibT_eX]

[DOI]

M. Jamal Deen

IEEE Trans. Ind. Informatics, 2018

A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks.

[BibT_eX]

[DOI]

IEEE Netw., 2018

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification.

[BibT_eX]

[DOI]

IEEE Netw., 2018

Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2018

A survey on deep learning for big data.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

2017

A Tucker Deep Computation Model for Mobile Multimedia Feature Learning.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2017

An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2017

A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data.

[BibT_eX]

[DOI]

IEEE Syst. J., 2017

Internet of Everything.

[BibT_eX]

[DOI]

Beniamino Di Martino

Mob. Inf. Syst., 2017

A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Double-Q Learning-Based DVFS for Multi-core Real-Time Systems.

[BibT_eX]

[DOI]

Hui Huang

Man Lin

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

2016

Deep Computation Model for Unsupervised Feature Learning on Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2016

PPHOCFS: Privacy Preserving High-Order CFS Algorithm on the Cloud for Clustering Multimedia Data.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2016

Incomplete high-dimensional data imputation algorithm using feature selection and clustering analysis on cloud.

[BibT_eX]

[DOI]

J. Supercomput., 2016

Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2016

2015

Distributed fuzzy c-means algorithms for big sensor data based on cloud computing.

[BibT_eX]

[DOI]

Yonglin Leng

Int. J. Sens. Networks, 2015

A nodes scheduling model based on Markov chain prediction for big streaming data analysis.

[BibT_eX]

[DOI]

Int. J. Commun. Syst., 2015

2014

A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2014

A weighted kernel possibilistic <i>c</i>-means algorithm based on cloud computing for clustering big data.

[BibT_eX]

[DOI]

Int. J. Commun. Syst., 2014

2013

Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud.

[BibT_eX]

[DOI]