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Min Jing

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2020 – today

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2024
[j18]
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  - journals/remotesensing/LiLJJC24
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SiCong Li, Ning Li, Min Jing, Chen Ji, Liang Cheng:
Evaluation of Ten Deep-Learning-Based Out-of-Distribution Detection Methods for Remote Sensing Image Scene Classification. Remote. Sens. 16(9): 1501 (2024)
2023
[j17]
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  - journals/digearth/JingLLJC23
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Min Jing, Ning Li, SiCong Li, Chen Ji, Liang Cheng:
Large dam candidate region identification from multi-source remote sensing images via a random forest and spatial analysis approach. Int. J. Digit. Earth 16(2): 4212-4228 (2023)
[c16]
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  - conf/embc/JingONM023
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Min Jing, Kathryn Owen, Brian Mac Namee, Iab B. A. Menown, James McLaughlin:
Investigating Temporal Features of Carotid Intima-Media Thickness from Ultrasound Imaging with Recurrent Neural Networks. EMBC 2023: 1-4
2022
[j16]
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  - journals/staeors/LiuCJJLC22
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Lei Liu, Liang Cheng, Chen Ji, Min Jing, Ning Li, Hui Chen:
Framework for Runway's True Heading Extraction in Remote Sensing Images Based on Deep Learning and Semantic Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6659-6670 (2022)
[j15]
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Junya Mao, Liang Cheng, Chen Ji, Min Jing, Zhixin Duan, Ning Li, Zhuoma Gesang, Manchun Li:
Verification of Dam Spatial Location in Open Datasets Based on Geographic Knowledge and Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7277-7287 (2022)
[j14]
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Hao Zhang, Dachu Dong, Min Jing, Wei Liu, Feng Zheng:
Topology Derivation of Multiple-Port DC-DC Converters Based on Voltage-Type Ports. IEEE Trans. Ind. Electron. 69(5): 4742-4753 (2022)
[c15]
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  - conf/icccsec/YaoLXJLWC22
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Jiangyuan Yao, Shengjun Lin, Chunxiang Xu, Min Jing, Deshun Li, Minrui Wang, Xingcan Cao:
Review of Detection and Avoidance of Interference Among Multiple Applications in Software-Defined Networks. ICAIS (2) 2022: 448-459
[c14]
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Jiangyuan Yao, Minrui Wang, Weiping Yang, Shuhua Weng, Zheng Jiang, Min Jing, Deshun Li, Xingcan Cao:
Test Traffic Control Based on REST API for Software-Defined Networking. ICAIS (2) 2022: 473-486
2021
[j13]
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Yunxiao Shan, Shanghua Liu, Yunfei Zhang, Min Jing, Huawei Xu:
LMD-TShip^⋆: Vision Based Large-Scale Maritime Ship Tracking Benchmark for Autonomous Navigation Applications. IEEE Access 9: 74370-74384 (2021)
[j12]
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  - journals/aeog/JingCJMLDLL21
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Min Jing, Liang Cheng, Chen Ji, Junya Mao, Ning Li, ZhiXing Duan, Zeming Li, Manchun Li:
Detecting unknown dams from high-resolution remote sensing images: A deep learning and spatial analysis approach. Int. J. Appl. Earth Obs. Geoinformation 104: 102576 (2021)
[j11]
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Hao Zhang, Min Jing, Wei Liu, Wei Liu, Fang Liu:
Design-oriented analysis of cross-regulation in single-inductor dual-output Buck-boost DC-DC converters. Int. J. Circuit Theory Appl. 49(12): 3966-3993 (2021)
[j10]
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  - journals/jbi/JingNNBBBFM21
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Min Jing, Kok Yew Ng, Brian Mac Namee, Pardis Biglarbeigi, Rob Brisk, Raymond R. Bond, Dewar D. Finlay, James McLaughlin:
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps. J. Biomed. Informatics 122: 103905 (2021)
[j9]
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Ning Li, Liang Cheng, Lingyong Huang, Chen Ji, Min Jing, Zhixin Duan, Jingjing Li, Manchun Li:
Framework for Unknown Airport Detection in Broad Areas Supported by Deep Learning and Geographic Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6328-6338 (2021)
2020
[j8]
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  - journals/ijbc/0033JDLC20
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Hao Zhang, Min Jing, Shuai Dong, Wei Liu, Zhaohua Cui:
Effect of Modal Interaction on Transient Behavior in Double-Input SEPIC DC-DC Converters. Int. J. Bifurc. Chaos 30(10): 2050145:1-2050145:16 (2020)
[c13]
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Min Jing, Donal McLaughlin, David Steele, Sara McNamee, Brian MacNamee, Patrick Cullen, Dewar D. Finlay, James McLaughlin:
Detection and Categorisation of Multilevel High-sensitivity Cardiovascular Biomarkers from Lateral Flow Immunoassay Images via Recurrent Neural Networks. BIOIMAGING 2020: 177-183
[c12]
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Min Jing, Brian Mac Namee, Donal McLaughlin, David Steele, Sara McNamee, Patrick Cullen, Dewar D. Finlay, James McLaughlin:
Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. ICIP 2020: 365-369

2010 – 2019

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2019
[j7]
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Hao Zhang, Min Jing, Shuai Dong, Dachu Dong, Ye Liu, Yongpeng Meng:
Stability and Evolutionary Trend of Hopf Bifurcations in Double-Input SEPIC DC-DC Converters. Int. J. Bifurc. Chaos 29(14): 1950192:1-1950192:18 (2019)
2017
[j6]
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Min Jing, Bryan W. Scotney, Sonya A. Coleman, T. Martin McGinnity:
Novel "Squiral" (square spiral) architecture for fast image processing. J. Vis. Commun. Image Represent. 49: 371-381 (2017)
2016
[c11]
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Min Jing, Bryan W. Scotney, Sonya A. Coleman, T. Martin McGinnity:
The Application of Social Media Image Analysis to an Emergency Management System. ARES 2016: 805-810
2015
[j5]
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Min Jing, T. Martin McGinnity, Sonya A. Coleman, Armin Fuchs, J. A. Scott Kelso:
Temporal Changes of Diffusion Patterns in Mild Traumatic Brain Injury via Group-Based Semi-blind Source Separation. IEEE J. Biomed. Health Informatics 19(4): 1459-1471 (2015)
[c10]
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Min Jing, Sonya A. Coleman, Bryan W. Scotney, T. Martin McGinnity:
Biologically motivated spiral architecture for fast video processing. ICIP 2015: 2040-2044
[c9]
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  - conf/mva/JingSCM15
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Min Jing, Bryan W. Scotney, Sonya A. Coleman, T. Martin McGinnity:
A novel spiral addressing scheme for rectangular images. MVA 2015: 102-105
2014
[c8]
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  - conf/mmm/ClawsonJSWL14
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Kathy M. Clawson, Min Jing, Bryan W. Scotney, Hui Wang, Jun Liu:
Human Action Recognition in Video via Fused Optical Flow and Moment Features - Towards a Hierarchical Approach to Complex Scenario Recognition. MMM (2) 2014: 104-115
[c7]
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  - conf/ucami/JingWCCCLS14
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Min Jing, Hui Wang, Kathy M. Clawson, Sonya A. Coleman, Shuwei Chen, Jun Liu, Bryan W. Scotney:
Recognition by Enhanced Bag of Words Model via Topographic ICA. UCAmI 2014: 523-531
[c6]
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  - conf/webi/ChenCJLWS14
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Shuwei Chen, Kathy M. Clawson, Min Jing, Jun Liu, Hui Wang, Bryan W. Scotney:
Uncertainty Reasoning Based Formal Framework for Big Video Data Understanding. WI-IAT (1) 2014: 487-494
2013
[c5]
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  - conf/trecvid/LittleJADOSCJS013
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Suzanne Little, Iveel Jargalsaikhan, Rami Albatal, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Kathy M. Clawson, Min Jing, Bryan W. Scotney, Hui Wang, Jun Liu, Marcos Nieto, Juan Diego Ortega, Aitor Rodriguez, Iñigo Aramburu, Emmanouil Kafetzakis:
SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection. TRECVID 2013
2012
[j4]
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  - journals/tbe/JingMCZFK12
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Min Jing, T. Martin McGinnity, Sonya A. Coleman, Huaizhong Zhang, Armin Fuchs, J. A. Scott Kelso:
Enhancement of Fiber Orientation Distribution Reconstruction in Diffusion-Weighted Imaging by Single Channel Blind Source Separation. IEEE Trans. Biomed. Eng. 59(2): 363-373 (2012)
2010
[c4]
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  - conf/medbiometrics/ZhangMCJ10
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H. Z. Zhang, T. Martin McGinnity, Sonya A. Coleman, Min Jing:
A Novel Criterion for Characterizing Diffusion Anisotropy in HARDI Data Based on the MDL Technique. ICMB 2010: 413-422

2000 – 2009

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2008
[c3]
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Min Jing, Saeid Sanei:
A temporally constrained spatial ICA for separation of seizure bold from FMRI. EUSIPCO 2008: 1-4
2007
[j3]
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  - journals/cin/JingS07
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Min Jing, Saeid Sanei:
A Novel Constrained Topographic Independent Component Analysis for Separation of Epileptic Seizure Signals. Comput. Intell. Neurosci. 2007 (2007)
[j2]
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Loukianos Spyrou, Min Jing, Saeid Sanei, Alex Sumich:
Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation. EURASIP J. Adv. Signal Process. 2007 (2007)
[c2]
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Min Jing, Saeid Sanei:
Seizure signals separation using constrained topographic blind source separation. EUSIPCO 2007: 1236-1240
2006
[c1]
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  - conf/icpr/JingS06
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Min Jing, Saeid Sanei:
Scanner Artifact Removal in Simultaneous EEG-fMRI for Epileptic Seizure Prediction. ICPR (3) 2006: 722-725

1990 – 1999

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1999
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Haiwen Li, Margaret Ross, Graham King, Geoff Staples, Min Jing:
Quality Approaches in a Large Software House. Softw. Qual. J. 8(1): 21-35 (1999)

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