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2020 – today
- 2023
[j61]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): 2350022:1-2350022:13 (2023)- [j60]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: 1-12 (2023) - 2022
- [j59]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: 1-5 (2022) - [j58]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): 3542 (2022) - [j57]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): 25-34 (2022) - [j56]Qingqing Li, Qingchen Zhang, Qizhen Du, Shijun Cheng:
Well-Guided Multisource Elastic Full-Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j55]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: 1-10 (2022) - [j54]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): 41:1-41:17 (2022) - [c9]Hang Yu, Qingchen Zhang:
Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays. BIBM 2022: 1781-1786 - [c8]Shilin Zhang, Qingchen Zhang:
A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals. BIBM 2022: 2042-2048 - [c7]Hang Yu, Qingchen Zhang:
A Deep Reinforcement Computation Model for Sepsis Treatment. BIBM 2022: 3217-3222 - 2021
- [j53]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: 107361 (2021) - [j52]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): 1 (2021) - [j51]Ximeng Liu, Yi Mu, Jianting Ning, Qingchen Zhang:
Securing the Internet-of-Things: Advances, challenges, future trends. Trans. Emerg. Telecommun. Technol. 32(5) (2021) - [j50]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: 92-110 (2021) - [j49]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: 168-174 (2021) - [j48]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): 9697-9705 (2021) - [j47]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): 882-890 (2021) - [j46]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): 148-155 (2021) - [j45]Zhenchao Ma, Laurence Tianruo Yang, Qingchen Zhang:
Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data. IEEE Trans. Ind. Informatics 17(5): 3382-3390 (2021) - 2020
- [j44]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: 853-858 (2020) - [j43]Qingchen Zhang, Weijian Mao, Jinwei Fang:
Crosstalk-free simultaneous-source full waveform inversion with normalized seismic data. Comput. Geosci. 138: 104460 (2020) - [j42]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: 91-100 (2020) - [j41]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): 248-257 (2020) - [j40]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): 3100-3109 (2020) - [j39]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): 2915-2927 (2020) - [j38]Hui Huang, Man Lin, Laurence T. Yang, Qingchen Zhang:
Autonomous Power Management With Double-Q Reinforcement Learning Method. IEEE Trans. Ind. Informatics 16(3): 1938-1946 (2020)
2010 – 2019
- 2019
- [j37]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): 137:1-137:9 (2019) - [j36]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: 515-525 (2019) - [j35]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: 1-8 (2019) - [j34]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): 11:1-11:17 (2019) - [j33]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): 587-597 (2019) - [j32]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): 1341-1349 (2019) - [j31]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): 2330-2337 (2019) - [j30]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): 739-749 (2019) - [j29]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): 132-141 (2019) - [j28]Salimur Choudhury, Qiang Ye, Mianxiong Dong, Qingchen Zhang:
IoT Big Data Analytics. Wirel. Commun. Mob. Comput. 2019: 9245392:1 (2019) - [e2]Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang:
Smart Data: State-of-the-Art Perspectives in Computing and Applications, 1st Edition. Chapman and Hall/CRC 2019, ISBN 9780429507670 [contents] - 2018
- [j27]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: 72-80 (2018) - [j26]Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li:
A survey on deep learning for big data. Inf. Fusion 42: 146-157 (2018) - [j25]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): 2896-2903 (2018) - [j24]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): 1159-1163 (2018) - [j23]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): 22-27 (2018) - [j22]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): 22-27 (2018) - [j21]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): 790-798 (2018) - [j20]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): 3170-3178 (2018) - [j19]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): 3197-3204 (2018) - [j18]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): 1657-1666 (2018) - 2017
- [j17]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: 82-89 (2017) - [j16]Laurence T. Yang, Beniamino Di Martino, Qingchen Zhang:
Internet of Everything. Mob. Inf. Syst. 2017: 8035421:1-8035421:3 (2017) - [j15]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): 2160-2169 (2017) - [j14]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): 801-815 (2017) - [j13]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): 1193-1201 (2017) - [j12]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): 39:1-39:18 (2017) - [c6]Hui Huang, Man Lin, Qingchen Zhang:
Double-Q Learning-Based DVFS for Multi-core Real-Time Systems. iThings/GreenCom/CPSCom/SmartData 2017: 522-529 - 2016
- [j11]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): 38:1-38:10 (2016) - [j10]Qingchen Zhang, Laurence T. Yang, Zhikui Chen:
Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning. IEEE Trans. Computers 65(5): 1351-1362 (2016) - [j9]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): 2977-2990 (2016) - [j8]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): 66:1-66:15 (2016) - [j7]Qingchen Zhang, Laurence T. Yang, Zhikui Chen:
Deep Computation Model for Unsupervised Feature Learning on Big Data. IEEE Trans. Serv. Comput. 9(1): 161-171 (2016) - 2015
- [j6]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): 1610-1619 (2015) - [j5]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): 32-39 (2015) - [e1]Lina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert Y. Zomaya, Hai Jin:
Advances in Services Computing - 9th Asia-Pacific Services Computing Conference, APSCC 2015, Bangkok, Thailand, December 7-9, 2015, Proceedings. Lecture Notes in Computer Science 9464, Springer 2015, ISBN 978-3-319-26978-8 [contents] - 2014
- [j4]Qingchen Zhang, Zhikui Chen:
A weighted kernel possibilistic c-means algorithm based on cloud computing for clustering big data. Int. J. Commun. Syst. 27(9): 1378-1391 (2014) - [j3]Qingchen Zhang, Zhikui Chen:
A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data. Int. J. Distributed Sens. Networks 10 (2014) - [j2]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): 59-63 (2014) - 2013
- [c5]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: 476-480 - [c4]Qingchen Zhang, Zhikui Chen, Liang Zhao:
Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. WAIM Workshops 2013: 165-174 - 2012
- [j1]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: 212 (2012) - [c3]Yuanchao Gan, Yan Tang, Qingchen Zhang:
3D model retrieval method based on mesh segmentation. ICDIP 2012: 83343E - 2011
- [c2]Yan Tang, Qingchen Zhang:
Edge-Collapse Mesh Simplification Method Based on Gauss Curvature. iThings/CPSCom 2011: 660-662 - 2010
- [c1]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: 914-918
Coauthor Index
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last updated on 2023-05-28 23:46 CEST by the dblp team
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