Qingchen Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 73

Top Topics

Data Clustering

Histopathological Images

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Geosci. Remote. Sens.

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Kai Fang, Wei Wang, Marcin Wozniak, Qingchen Zhang, Keping Yu, Junxin Chen, Amr Tolba, Leo Yu Zhang
Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Shilei Sun, Weijian Mao, Qingchen Zhang, Meng Du
Reverse-Time Migration for Pure qP-Wave Based on Elliptical Decomposition Vector Equation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hao Duan, Yu Zhang, Haoye Qiu, Xiuhao Fu, Chunling Liu, Xiaofeng Zang, Anqi Xu, Ziyue Wu, Xingfeng Li, Qingchen Zhang, Zilong Zhang, Feifei Cui
Machine learning-based prediction model for distant metastasis of breast cancer. Comput. Biol. Medicine 169 (2024)
Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang
Self-Supervised Learning for Graph Dataset Condensation. KDD (2024)
Shilin Zhang, Qingchen Zhang
ADCL: an adaptive dual contrastive learning framework based on MHGAT and VAE for cell type deconvolution in spatial transcriptomics. BIBM (2023)
Weiguo Duan, Weijian Mao, Xingchen Shi, Qingchen Zhang, Wei Ouyang
Iterative Reweighted Least-Squares Gaussian Beam Migration and Velocity Inversion in the Image Domain Based on Point Spread Functions. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Suixue Wang, Xiangjun Hu, Qingchen Zhang
HC-MAE: Hierarchical Cross-attention Masked Autoencoder Integrating Histopathological Images and Multi-omics for Cancer Survival Prediction. BIBM (2023)
Ruhao Liu, Qingchen Zhang, Kai Wang, Shuling Wang
Biomarker discovery using multimodal data with the potential application in lung tumor diagnosis. BIBM (2023)
Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie
Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Ruilin Qi, Hang Li, Qingchen Zhang
Attention-based BRCNN for Chinese Medical Question Answering. BIBM (2023)
Xingfeng Li, Xiaohan Shi, Desheng Hu, Yongwei Li, Qingchen Zhang, Zhengxia Wang, Masashi Unoki, Masato Akagi
Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie
Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance. IEEE Trans. Netw. Sci. Eng. 10 (5) (2023)
Xiangjun Hu, Xiuxiu Ding, Dongpeng Bai, Qingchen Zhang
A Compressed Model-Agnostic Meta-Learning Model Based on Pruning for Disease Diagnosis. J. Circuits Syst. Comput. 32 (2) (2023)
Xiangjun Hu, Suixue Wang, Hang Li, Qingchen Zhang
MLLCD: A Meta Learning-based Method for Lung Cancer Diagnosis Using Histopathology Images. BIBM (2023)
Yu Guo, Feng Yang, Pengyue Sun, Qingchen Zhang
A differential privacy based prototypical network for medical data learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Hang Yu, Qingchen Zhang
Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays. BIBM (2022)
Qingqing Li, Qingchen Zhang, Qizhen Du, Shijun Cheng
Well-Guided Multisource Elastic Full-Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ruilin Qi, Pengyue Sun, Qingchen Zhang
BRCNN: Chinese medical question answer selection based on BERT. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing. IEEE Trans. Big Data 8 (1) (2022)
Shilin Zhang, Qingchen Zhang
A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals. BIBM (2022)
Yanan Ran, Qingqing Li, Li-Yun Fu, Qizhen Du, Qingchen Zhang
Wave-Equation-Based Q Tomography With Local Peak Frequency Shift Measurements. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jinwei Fang, Hanming Chen, Hui Zhou, Qingchen Zhang, Lide Wang
Three-Dimensional Elastic Full-Waveform Inversion Using Temporal Fourth-Order Finite-Difference Approximation. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Jinwei Fang, Ying Shi, Hui Zhou, Hanming Chen, Qingchen Zhang, Ning Wang
A High-Precision Elastic Reverse-Time Migration for Complex Geologic Structure Imaging in Applied Geophysics. Remote. Sens. 14 (15) (2022)
Hang Yu, Qingchen Zhang
A Deep Reinforcement Computation Model for Sepsis Treatment. BIBM (2022)
Debin Liu, Laurence T. Yang, Puming Wang, Ruonan Zhao, Qingchen Zhang
TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. 18 (1s) (2022)
Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Hang Yu, Shuo Wang, He Gao
Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing. Concurr. Comput. Pract. Exp. 33 (7) (2021)
Cheng Dai, Xingang Liu, Laurence T. Yang, Minghao Ni, Zhenchao Ma, Qingchen Zhang, M. Jamal Deen
Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems. IEEE Internet Things J. 8 (12) (2021)
Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu
A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Hang Yu, Laurence T. Yang, Xiangchao Fan, Qingchen Zhang
A deep residual computation model for heterogeneous data learning in smart Internet of Things. Appl. Soft Comput. 107 (2021)
Zhenchao Ma, Laurence Tianruo Yang, Qingchen Zhang
Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data. IEEE Trans. Ind. Informatics 17 (5) (2021)
Hang Yu, Laurence T. Yang, Qingchen Zhang, David Armstrong, M. Jamal Deen
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives. Neurocomputing 444 (2021)
Ximeng Liu, Yi Mu, Jianting Ning, Qingchen Zhang
Securing the Internet-of-Things: Advances, challenges, future trends. Trans. Emerg. Telecommun. Technol. 32 (5) (2021)
Fanyu Bu, Chengsheng Hu, Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Thar Baker
A Cloud-Edge-Aided Incremental High-Order Possibilistic c-Means Algorithm for Medical Data Clustering. IEEE Trans. Fuzzy Syst. 29 (1) (2021)
Xia Xie, Qingchen Zhang
An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data. Inf. Fusion 76 (2021)
Hui Huang, Man Lin, Laurence T. Yang, Qingchen Zhang
Autonomous Power Management With Double-Q Reinforcement Learning Method. IEEE Trans. Ind. Informatics 16 (3) (2020)
Fanyu Bu, Qingchen Zhang, Laurence T. Yang, Hang Yu
An Edge-Cloud-Aided High-Order Possibilistic c-Means Algorithm for Big Data Clustering. IEEE Trans. Fuzzy Syst. 28 (12) (2020)
Qingchen Zhang, Weijian Mao, Jinwei Fang
Crosstalk-free simultaneous-source full waveform inversion with normalized seismic data. Comput. Geosci. 138 (2020)
Zhuo Liu, Changchuan Bai, Hang Yu, Ying Zhu, Tai-Hua Wu, Fanyu Bu, Qingchen Zhang
An adaptive deep learning model to differentiate syndromes of infectious fever in smart medicine. Future Gener. Comput. Syst. 111 (2020)
Qingchen Zhang, Changchuan Bai, Zhuo Liu, Laurence T. Yang, Hang Yu, Jingyuan Zhao, Hong Yuan
A GPU-based residual network for medical image classification in smart medicine. Inf. Sci. 536 (2020)
Qingchen Zhang, Weijian Mao, Jinwei Fang
Elastic Full Waveform Inversion With Source-Independent Crosstalk-Free Source-Encoding Algorithm. IEEE Trans. Geosci. Remote. Sens. 58 (4) (2020)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
Incremental Deep Computation Model for Wireless Big Data Feature Learning. IEEE Trans. Big Data 6 (2) (2020)
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) (2019)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 3 (1) (2019)
Qingchen Zhang, Laurence T. Yang, Arcangelo Castiglione, Zhikui Chen, Peng Li
Secure weighted possibilistic c-means algorithm on cloud for clustering big data. Inf. Sci. 479 (2019)
Qingchen Zhang, Lu Zhang, Chen Zhou, Yiyan Yang, Zuojing Yin, Dingfeng Wu, Kailin Tang, Zhiwei Cao
DSab-origin: a novel IGHD sensitive VDJ mapping method and its application on antibody response after influenza vaccination. BMC Bioinform. 20 (1) (2019)
Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Shuo Wang, He Gao
Smart Chinese medicine for hypertension treatment with a deep learning model. J. Netw. Comput. Appl. 129 (2019)
Salimur Choudhury, Qiang Ye, Mianxiong Dong, Qingchen Zhang
IoT Big Data Analytics. Wirel. Commun. Mob. Comput. 2019 (2019)
Qingchen Zhang, Laurence Tianruo Yang, Zhikui Chen, Peng Li, Fanyu Bu
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing. IEEE Trans. Ind. Informatics 15 (4) (2019)
Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Samee U. Khan, Peng Li
A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling. IEEE Trans. Serv. Comput. 12 (5) (2019)
Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Peng Li
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model. IEEE Trans. Sustain. Comput. 4 (1) (2019)
Qingchen Zhang, Weijian Mao, Yangkang Chen
Attenuating Crosstalk Noise of Simultaneous-Source Least-Squares Reverse Time Migration With GPU-Based Excitation Amplitude Imaging Condition. IEEE Trans. Geosci. Remote. Sens. 57 (1) (2019)
Qingchen Zhang, Laurence T. Yang, Zheng Yan, Zhikui Chen, Peng Li
An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics. IEEE Trans. Ind. Informatics 14 (7) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition. IEEE Trans. Syst. Man Cybern. Syst. 48 (10) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li, M. Jamal Deen
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning. IEEE Internet Things J. 5 (4) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks. IEEE Netw. 32 (4) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning. IEEE Trans. Ind. Informatics 14 (7) (2018)
Peng Li, Zhikui Chen, Laurence Tianruo Yang, Qingchen Zhang, M. Jamal Deen
Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things. IEEE Trans. Ind. Informatics 14 (2) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT. Inf. Fusion 39 (2018)
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) (2018)
Wei Liu, Siyuan Cao, Zhiming Wang, Kangkang Jiang, Qingchen Zhang, Yangkang Chen
A Novel Approach for Seismic Time-Frequency Analysis Based on High-Order Synchrosqueezing Transform. IEEE Geosci. Remote. Sens. Lett. 15 (8) (2018)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
A survey on deep learning for big data. Inf. Fusion 42 (2018)
Han-Ming Chen, Hui Zhou, Qingchen Zhang, Yangkang Chen
Modeling Elastic Wave Propagation Using K-Space Operator-Based Temporal High-Order Staggered-Grid Finite-Difference Method. IEEE Trans. Geosci. Remote. Sens. 55 (2) (2017)
Qingchen Zhang, Laurence T. Yang, Xingang Liu, Zhikui Chen, Peng Li
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning. ACM Trans. Multim. Comput. Commun. Appl. 13 (3s) (2017)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Feng Xia
A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data. IEEE Syst. J. 11 (4) (2017)
Laurence T. Yang, Beniamino Di Martino, Qingchen Zhang
Internet of Everything. Mob. Inf. Syst. 2017 (2017)
Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing. Neurocomputing 256 (2017)
Hui Huang, Man Lin, Qingchen Zhang
Double-Q Learning-Based DVFS for Multi-core Real-Time Systems. iThings/GreenCom/CPSCom/SmartData (2017)
Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. IEEE Trans. Ind. Informatics 13 (3) (2017)
Jun Gao, Qingchen Zhang, Min Liu, Lixin Zhu, Dingfeng Wu, Zhiwei Cao, Ruixin Zhu
bSiteFinder, an improved protein-binding sites prediction server based on structural alignment: more accurate and less time-consuming. J. Cheminformatics 8 (1) (2016)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen
Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning. IEEE Trans. Computers 65 (5) (2016)
Fanyu Bu, Zhikui Chen, Qingchen Zhang, Laurence T. Yang
Incomplete high-dimensional data imputation algorithm using feature selection and clustering analysis on cloud. J. Supercomput. 72 (8) (2016)
Qingchen Zhang, Hua Zhong, Laurence T. Yang, Zhikui Chen, Fanyu Bu
PPHOCFS: Privacy Preserving High-Order CFS Algorithm on the Cloud for Clustering Multimedia Data. ACM Trans. Multim. Comput. Commun. Appl. 12 (4s) (2016)
Qingchen Zhang, Laurence T. Yang, Zhikui Chen
Deep Computation Model for Unsupervised Feature Learning on Big Data. IEEE Trans. Serv. Comput. 9 (1) (2016)
Qingchen Zhang, Zhikui Chen, Yonglin Leng
Distributed fuzzy c-means algorithms for big sensor data based on cloud computing. Int. J. Sens. Networks 18 (1/2) (2015)
Qingchen Zhang, Zhikui Chen, Laurence T. Yang
A nodes scheduling model based on Markov chain prediction for big streaming data analysis. Int. J. Commun. Syst. 28 (9) (2015)
Qingchen Zhang, Zhikui Chen
A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data. Int. J. Distributed Sens. Networks 10 (2014)
Qingchen Zhang, Zhikui Chen
-means algorithm based on cloud computing for clustering big data. Int. J. Commun. Syst. 27 (9) (2014)
Tao Qi, Tianyi Qiu, Qingchen Zhang, Kailin Tang, Yangyang Fan, Jingxuan Qiu, Dingfeng Wu, Wei Zhang, Yanan Chen, Jun Gao, Ruixin Zhu, Zhiwei Cao
SEPPA 2.0 - more refined server to predict spatial epitope considering species of immune host and subcellular localization of protein antigen. Nucleic Acids Res. 42 (Webserver-Issue) (2014)
Qingchen Zhang, Zhikui Chen, Ailing Lv, Liang Zhao, Fangyi Liu, Jian Zou
A Universal Storage Architecture for Big Data in Cloud Environment. GreenCom/iThings/CPScom (2013)
Qingchen Zhang, Zhikui Chen, Liang Zhao
Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. WAIM Workshops (2013)
Dingfeng Wu, Qi Huang, Yida Zhang, Qingchen Zhang, Qi Liu, Jun Gao, Zhi-Wei Cao, Ruixin Zhu
Screening of selective histone deacetylase inhibitors by proteochemometric modeling. BMC Bioinform. 13 (2012)
Yuanchao Gan, Yan Tang, Qingchen Zhang
3D model retrieval method based on mesh segmentation. ICDIP (2012)
Yan Tang, Qingchen Zhang
Edge-Collapse Mesh Simplification Method Based on Gauss Curvature. iThings/CPSCom (2011)
Quansheng Sun, Xiaoguang Guo, Deping Zhang, Xikun Guan, Qingchen Zhang
Research on the application of BP neural network in construction control for cable replacement of the cable-stayed bridge. ICNC (2010)