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Jing Zhong
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2020 – today
- 2024
- [j26]Jing Zhong, Jie Sun, Zulong Lai:
ICESat-2 and Multispectral Images Based Coral Reefs Geomorphic Zone Mapping Using a Deep Learning Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6085-6098 (2024) - [j25]Shijie Sun, Yaoyao Chen, Klaas-Julian Janssen, Thilo Viereck, Meinhard Schilling, Frank Ludwig, Lijun Xu, Jing Zhong:
Sparse-Representation-Based Image Reconstruction for Magnetic Particle Imaging. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j24]Shijie Sun, Yaoyao Chen, Mingyang Zhao, Lijun Xu, Jing Zhong:
Image Reconstruction for Magnetic Particle Imaging Based on Sparse Representation and Deep Learning. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j23]Florian Tobias Wolgast, Tamara Kahmann, Klaas-Julian Janssen, Takashi Yoshida, Jing Zhong, Meinhard Schilling, Frank Ludwig, Thilo Viereck:
Low-Cost Magnetic Particle Spectroscopy Hardware for Low-Viral-Load Immunoassays. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [c31]Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang:
An Empirical Study on Low GPU Utilization of Deep Learning Jobs. ICSE 2024: 96:1-96:13 - 2023
- [j22]Juan Wang, Jing Zhong, Jiangqi Li:
IoT-Portrait: Automatically Identifying IoT Devices via Transformer with Incremental Learning. Future Internet 15(3): 102 (2023) - [j21]Shanshan Liang, Jing Zhong, Hongwei Zeng, Peixun Zhong, Saiqun Li, Huijun Liu, Jin Yuan:
A Structure-Aware Convolutional Neural Network for Automatic Diagnosis of Fungal Keratitis with In Vivo Confocal Microscopy Images. J. Digit. Imaging 36(4): 1624-1632 (2023) - [j20]Li Song, Yuguo Dai, Luyao Wang, Wei Zhang, Yiming Ji, Yuqing Cao, Junyi Wei, Fengwu Wang, Jing Zhong, Jiapeng Yang, Lin Feng:
Motion Control of Capsule Robot Based on Adaptive Magnetic Levitation Using Electromagnetic Coil. IEEE Trans Autom. Sci. Eng. 20(4): 2720-2731 (2023) - [j19]Yimeng Li, Hui Hui, Peng Zhang, Jing Zhong, Lin Yin, Haoran Zhang, Bo Zhang, Yu An, Jie Tian:
Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging. IEEE Trans. Biomed. Eng. 70(7): 2035-2045 (2023) - [j18]Peng Zhang, Jie Liu, Yimeng Li, Lin Yin, Yu An, Jing Zhong, Hui Hui, Jie Tian:
Dual-Feature Frequency Component Compression Method for Accelerating Reconstruction in Magnetic Particle Imaging. IEEE Trans. Computational Imaging 9: 289-297 (2023) - [j17]Lin Yin, Wei Li, Zhongwei Bian, Ziwei Chen, Yanjun Liu, Jing Zhong, Shuixing Zhang, Yang Du, Hui Hui, Jie Tian:
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c30]Rui Zhang, Shijie Sun, Shaoqi Sun, Jian Wei, Xingang Li, Jing Zhong, Lijun Xu:
An Improved Design of Detection Coil for Magnetic Particle Imaging. I2MTC 2023: 1-5 - [c29]Mingyang Zhao, Ziang Chen, Jian Zhang, Yaoyao Chen, Ying Wang, Lijun Xu, Jing Zhong, Shijie Sun:
Image Reconstruction Based on Newton-Raphson Method for Magnetic Particle Imaging. IST 2023: 1-5 - 2022
- [j16]Jing Zhong, Yonglin Chen, Jiaqi Yan, Jinlian Luo:
The mixed blessing of cyberloafing on innovation performance during the COVID-19 pandemic. Comput. Hum. Behav. 126: 106982 (2022) - [j15]Zhi Wang, Jing Zhong, Yuqing Chen, Ping Zhong:
Sparse robust multiview feature selection via adaptive-weighting strategy. Int. J. Mach. Learn. Cybern. 13(5): 1387-1408 (2022) - [j14]Jing Zhong, Jie Sun, Zulong Lai, Yan Song:
Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep Learning Approach. Remote. Sens. 14(17): 4229 (2022) - [j13]Shuai Wang, Jing Zhong, Wenzhong Liu:
Temperature Measurement Based on Electron Paramagnetic Resonance of Magnetic Nanoparticles. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - 2021
- [j12]Yunchuan Kang, Jing Zhong, Ruofeng Li, Yuqiao Liang, Nian Zhang:
Classification Method for Network Security Data Based on Multi-featured Extraction. Int. J. Artif. Intell. Tools 30(1): 2140006:1-2140006:11 (2021) - [j11]Jing Zhong, Ping Zhong, Yimin Xu, Liran Yang:
Robust multiview feature selection via view weighted. Multim. Tools Appl. 80(1): 1503-1527 (2021) - [j10]Guiguang Ding, Shuo Zhang, Zizhou Jia, Jing Zhong, Jungong Han:
Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning. IEEE Trans. Image Process. 30: 293-304 (2021) - [c28]Yijie Zhao, Bin Zheng, Hao Ye, Jing Zhong, Haiwei Wang:
Comparison of Data-Based Methods for Selecting Treatment Therapy in Hepatocellular Carcinoma. CAA SAFEPROCESS 2021: 1-5 - 2020
- [j9]Zilin Gao, Jiang Xiong, Jing Zhong, Fuming Liu, Qingshan Liu:
Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks. Comput. Intell. Neurosci. 2020: 8846438:1-8846438:8 (2020) - [j8]Yandong Yang, Jing Zhong, Wei Li, T. Aaron Gulliver, Shufang Li:
Semisupervised Multilabel Deep Learning Based Nonintrusive Load Monitoring in Smart Grids. IEEE Trans. Ind. Informatics 16(11): 6892-6902 (2020)
2010 – 2019
- 2019
- [j7]Jing Zhong, Nan Wang, Qiang Lin, Ping Zhong:
Weighted feature selection via discriminative sparse multi-view learning. Knowl. Based Syst. 178: 132-148 (2019) - [c27]Yijie Zhao, Hao Ye, Jing Zhong, Haiwei Wang:
A Decision Tree Based Method for Treatment Therapy of HCC. CAA SAFEPROCESS 2019: 879-883 - [c26]Andrey Garnaev, Wuyang Zhang, Jing Zhong, Roy D. Yates:
Maintaining Information Freshness under Jamming. INFOCOM Workshops 2019: 90-95 - [c25]Jing Zhong, Wuyang Zhang, Roy D. Yates, Andrey Garnaev, Yanyong Zhang:
Age-aware Scheduling for Asynchronous Arriving Jobs in Edge Applications. INFOCOM Workshops 2019: 674-679 - [c24]Roy D. Yates, Jing Zhong, Wuyang Zhang:
Updates with Multiple Service Classes. ISIT 2019: 1017-1021 - [c23]Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen:
A Novel Feature Selection Model for JPEG Image Steganalysis. IWDW 2019: 322-336 - [c22]Andrey Garnaev, Jing Zhong, Wuyang Zhang, Roy D. Yates, Wade Trappe:
Proportional Fair Information Freshness Under Jamming. WWIC 2019: 91-102 - 2018
- [j6]Peng Shi, Jing Zhong, Andrik Rampun, Hui Wang:
A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms. Comput. Biol. Medicine 96: 178-188 (2018) - [j5]Fanzi Zeng, Jing Zhong:
Utility-based cooperative spectrum leasing scheme for CR networks with hybrid energy supplies. IET Commun. 12(5): 509-517 (2018) - [j4]Hongjuan Wu, Yuming Feng, Zhengwen Tu, Jing Zhong, Qingsong Zeng:
Exponential synchronization of memristive neural networks with time delays. Neurocomputing 297: 1-7 (2018) - [j3]Hongjuan Wu, Yulu Liu, Pei Yan, Gang Fang, Jing Zhong:
A frequent itemset mining algorithm based on composite granular computing. J. Comput. Methods Sci. Eng. 18(1): 247-257 (2018) - [c21]Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang:
Where to Prune: Using LSTM to Guide End-to-end Pruning. IJCAI 2018: 3205-3211 - [c20]Jing Zhong, Roy D. Yates, Emina Soljanin:
Minimizing content staleness in dynamo-style replicated storage systems. INFOCOM Workshops 2018: 361-366 - [c19]Jing Zhong, Roy D. Yates, Emina Soljanin:
Two Freshness Metrics for Local Cache Refresh. ISIT 2018: 1924-1928 - [c18]Qingshan Liu, Jiang Xiong, Jing Zhong, Hong Ying, Kaixuan Li:
A Distributed Algorithm Based on Multi-agent Network for Solving Linear Algebraic Equation. ISNN 2018: 415-422 - [c17]Jing Zhong, Roy D. Yates, Emina Soljanin:
Timely Lossless Source Coding for Randomly Arriving Symbols. ITW 2018: 1-5 - [c16]Jing Zhong, Roy D. Yates, Emina Soljanin:
Multicast with Prioritized Delivery: How Fresh is Your Data? SPAWC 2018: 1-5 - [i6]Jing Zhong, Roy D. Yates:
Timeliness in Lossless Block Coding. CoRR abs/1802.09167 (2018) - [i5]Jing Zhong, Roy D. Yates, Emina Soljanin:
Minimizing Content Staleness in Dynamo-Style Replicated Storage Systems. CoRR abs/1804.00742 (2018) - [i4]Jing Zhong, Roy D. Yates, Emina Soljanin:
Multicast With Prioritized Delivery: How Fresh is Your Data? CoRR abs/1808.05738 (2018) - [i3]Jing Zhong, Roy D. Yates, Emina Soljanin:
Timely Lossless Source Coding for Randomly Arriving Symbols. CoRR abs/1810.01533 (2018) - 2017
- [c15]Jing Zhong, Emina Soljanin, Roy D. Yates:
Status updates through multicast networks. Allerton 2017: 463-469 - [c14]Roy D. Yates, Elie Najm, Emina Soljanin, Jing Zhong:
Timely updates over an erasure channel. ISIT 2017: 316-320 - [c13]Jing Zhong, Roy D. Yates, Emina Soljanin:
Backlog-adaptive compression: Age of information. ISIT 2017: 566-570 - [c12]Nian Zhang, Jiang Xiong, Jing Zhong, Lara A. Thompson, Hong Ying:
An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings. ISNN (1) 2017: 206-214 - [i2]Roy D. Yates, Elie Najm, Emina Soljanin, Jing Zhong:
Timely Updates over an Erasure Channel. CoRR abs/1704.04155 (2017) - [i1]Jing Zhong, Emina Soljanin, Roy D. Yates:
Status Updates Through Multicast Networks. CoRR abs/1709.02427 (2017) - 2016
- [c11]Jing Zhong, Roy D. Yates:
Timeliness in Lossless Block Coding. DCC 2016: 339-348 - [c10]Fanzi Zeng, Jie Li, Jisheng Xu, Jing Zhong:
A Trust-Based Cooperative Spectrum Sensing Scheme against SSDF Attack in CRNs. Trustcom/BigDataSE/ISPA 2016: 1167-1173 - 2013
- [c9]Jing Zhong, Wenzhong Liu, Shiqiang Pi, Pu Zhang:
Optimization for temperature estimation using magnetic nanoparticle: A set of equations solving solution investigation. I2MTC 2013: 1329-1331 - 2011
- [c8]Wei Li, Jing Zhong, T. Aaron Gulliver, Bo Rong, Rose Qingyang Hu, Yi Qian:
Fitting Noisy Data to a Circle: A Simple Iterative Maximum Likelihood Approach. ICC 2011: 1-5 - 2010
- [j2]Jing Zhong, Jianjun Shi, Jeff C. F. Wu:
Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties. IEEE Trans Autom. Sci. Eng. 7(2): 266-273 (2010) - [j1]Jing Zhong, Jian Liu, Jianjun Shi:
Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes. IEEE Trans Autom. Sci. Eng. 7(4): 724-735 (2010) - [c7]Wei Li, Jing Zhong, T. Aaron Gulliver:
Mode transfer architecture and cross layer design for connection aware applications in wireless communication systems. CCECE 2010: 1-5 - [c6]Jing Zhong, Jiang Xiong, Xiaofeng Chen, Hongjuan Wu:
A novel model of IDS based on automatic clustering number determination. ICNC 2010: 832-836 - [c5]Zhiyong Feng, Jing Zhong, Wei Li, T. Aaron Gulliver:
Cognitive Multicast Pilot Scheduling for Heterogeneous Networks. VTC Fall 2010: 1-5
2000 – 2009
- 2008
- [b1]Jing Zhong:
A new fault model and its application in synthesizing Toffoli networks. University of Victoria, Canada, 2008 - 2006
- [c4]Jing Zhong, Jon C. Muzio:
Analyzing Fault Models for Reversible Logic Circuits. IEEE Congress on Evolutionary Computation 2006: 2422-2427 - 2005
- [c3]Jing Zhong, Hong Ying:
A Semantic Web Based Peer-to-Peer Service Registry Network. SKG 2005: 122 - 2004
- [c2]Jing Zhong, Jon C. Muzio:
An Investigation of Non-Linear Machines as PRPGs in BIST. ESA/VLSI 2004: 360-366 - 2003
- [c1]Jing Zhong, Stan Sclaroff:
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter. ICCV 2003: 44-50
Coauthor Index
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last updated on 2024-10-21 20:32 CEST by the dblp team
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