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2020 – today
- 2024
- [j43]Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. IEEE Access 12: 8207-8219 (2024) - [i15]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Darren Dancey:
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation. CoRR abs/2404.17335 (2024) - 2023
- [j42]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Access 11: 108603-108616 (2023) - [j41]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. 149: 432-444 (2023) - [j40]Xin Zhang, Liangxiu Han:
A Generic Self-Supervised Learning (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery. Remote. Sens. 15(21): 5238 (2023) - [j39]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang:
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE J. Biomed. Health Informatics 27(2): 980-991 (2023) - [i14]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. CoRR abs/2302.08967 (2023) - [i13]Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. CoRR abs/2305.11665 (2023) - [i12]Xin Zhang, Liangxiu Han:
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery. CoRR abs/2306.15836 (2023) - [i11]Yue Shi, Liangxiu Han, Pablo González-Moreno, Darren Dancey, Wenjiang Huang, Zhiqiang Zhang, Yuanyuan Liu, Mengning Huang, Hong Miao, Min Dai:
A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Data. CoRR abs/2306.17207 (2023) - 2022
- [j38]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. IEEE Access 10: 77950-77961 (2022) - [j37]Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu:
Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery. Remote. Sens. 14(2): 396 (2022) - [j36]Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi:
The Self-Supervised Spectral-Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery. Remote. Sens. 14(6): 1400 (2022) - [j35]Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j34]Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j33]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE J. Biomed. Health Informatics 26(11): 5289-5297 (2022) - [i10]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR abs/2207.11019 (2022) - [i9]Christopher Carr, Shenglin Wang, Peng Wang, Liangxiu Han:
Attacking Digital Twins of Robotic Systems to Compromise Security and Safety. CoRR abs/2211.09507 (2022) - 2021
- [j32]Xin Zhang, Liangxiu Han, Mark Robinson, Anthony Gallagher:
A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data. IEEE Access 9: 39009-39018 (2021) - [j31]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for Multisubject fMRI Data Alignment. IEEE Trans. Cogn. Dev. Syst. 13(3): 475-490 (2021) - [j30]Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang:
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging 40(9): 2354-2366 (2021) - [i8]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR abs/2104.05035 (2021) - [i7]Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu:
A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery. CoRR abs/2107.13277 (2021) - [i6]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina C. Dempsey-Hibbert, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White:
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images. CoRR abs/2110.10813 (2021) - [i5]Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi:
The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery. CoRR abs/2111.06839 (2021) - [i4]Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution. CoRR abs/2111.08685 (2021) - 2020
- [j29]Liangxiu Han, Daoqiang Zhang, Omer F. Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily:
IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access 8: 216617-216622 (2020) - [j28]Weichao Ding, Fei Luo, Liangxiu Han, Chunhua Gu, Haifeng Lu, Joel Fuentes:
Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers. Future Gener. Comput. Syst. 111: 254-270 (2020) - [j27]Ying Liu, Anthony Soroka, Liangxiu Han, Jin Jian, Min Tang:
Cloud-based big data analytics for customer insight-driven design innovation in SMEs. Int. J. Inf. Manag. 51: 102034 (2020) - [j26]Xin Zhang, Liangxiu Han, Lianghao Han, Liang Zhu:
How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? Remote. Sens. 12(3): 417 (2020) - [i3]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for multi-subject fMRI data alignment. CoRR abs/2001.02894 (2020) - [i2]Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification. CoRR abs/2004.08886 (2020) - [i1]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR abs/2008.04024 (2020)
2010 – 2019
- 2019
- [j25]Xueqin Zhang, Jiahao Chen, Yue Zhou, Liangxiu Han, Jiajun Lin:
A Multiple-Layer Representation Learning Model for Network-Based Attack Detection. IEEE Access 7: 91992-92008 (2019) - [j24]Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson:
A Novel Online Dynamic Temporal Context Neural Network Framework for the Prediction of Road Traffic Flow. IEEE Access 7: 153533-153541 (2019) - [j23]Yudong Zhang, Liangxiu Han, Zhengchao Dong:
Introduction to the special section on Advanced Signal Processing in Biomedical Imaging. Comput. Electr. Eng. 74: 635-639 (2019) - [j22]Ahmed E. Kamal, Liangxiu Han, Lu Liu, Sohail Jabbar:
Guest editorial: Special issue on software defined networking: Trends, challenges, and prospective smart solutions. Peer-to-Peer Netw. Appl. 12(2): 291-294 (2019) - [j21]Huiqin Ma, Wenjiang Huang, Yuanshu Jing, Chenghai Yang, Liangxiu Han, Yingying Dong, Huichun Ye, Yue Shi, Qiong Zheng, Linyi Liu, Chao Ruan:
Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote. Sens. 11(7): 846 (2019) - [j20]Xin Zhang, Liangxiu Han, Yingying Dong, Yue Shi, Wenjiang Huang, Lianghao Han, Pablo González-Moreno, Huiqin Ma, Huichun Ye, Tam Sobeih:
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images. Remote. Sens. 11(13): 1554 (2019) - [j19]Lijun Yang, Liangxiu Han, Naxin Liu:
A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals. Scientometrics 120(2): 507-517 (2019) - [c28]Muhammad Salman Haleem, Liangxiu Han, Peter J. Harding, Mark Ellison:
An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence. SMC 2019: 2279-2284 - [c27]Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson:
Prediction of Road Traffic Flow Based on Deep Recurrent Neural Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 102-109 - 2018
- [j18]Yudong Zhang, Yin Zhang, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han, Ming Yang, Carlo Cattani, Huimin Lu:
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging. IEEE Access 6: 61812-61818 (2018) - [j17]Shuihua Wang, Khan Muhammad, Yi-Ding Lv, Yuxiu Sui, Liangxiu Han, Yudong Zhang:
Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm. Complex. 2018: 3198184:1-3198184:13 (2018) - [j16]Siguang Li, Zhengwen Huang, Liangxiu Han, Changjun Jiang:
A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud. Concurr. Comput. Pract. Exp. 30(23) (2018) - [j15]Ibrahim Ghafir, Mohammad Hammoudeh, Vaclav Prenosil, Liangxiu Han, Robert Hegarty, Khaled M. Rabie, Francisco J. Aparicio-Navarro:
Detection of advanced persistent threat using machine-learning correlation analysis. Future Gener. Comput. Syst. 89: 349-359 (2018) - [j14]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming, Louis R. Pasquale, Brian J. Song:
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. J. Medical Syst. 42(1): 20:1-20:18 (2018) - [c26]Adam Coates, Liangxiu Han, Anthony Kleerekoper:
A Unified Framework for Opinion Dynamics. AAMAS 2018: 1079-1086 - [c25]Adam Coates, Liangxiu Han, Anthony Kleerekoper:
A Unified Opinion Framework Simulator. AAMAS 2018: 1803-1805 - [c24]Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson:
A Machine Learning Based Approach for the Prediction of Road Traffic Flow on Urbanised Arterial Roads. HPCC/SmartCity/DSS 2018: 1285-1292 - [c23]Pouyan Dinarvand, Liangxiu Han, Adam Coates, Lianghao Han:
Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings. HPCC/SmartCity/DSS 2018: 1299-1304 - 2017
- [j13]Yudong Zhang, Xiaojun Yang, Carlo Cattani, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han:
Preface. Fundam. Informaticae 151(1-4): ix-xvi (2017) - [j12]Lianghao Han, Hua Dong, Jamie R. McClelland, Liangxiu Han, David J. Hawkes, Dean C. Barratt:
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. Medical Image Anal. 39: 87-100 (2017) - [c22]Liangxiu Han:
Towards Sustainable Smart Society: Big Data Driven Approaches. ICFNDS 2017: 3 - [c21]Ibrahim Ghafir, Vaclav Prenosil, Mohammad Hammoudeh, Liangxiu Han, Umar Raza:
Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence. ICFNDS 2017: 27 - [c20]J. K. Mohsin, Liangxiu Han, Mohammad Hammoudeh, Robert Hegarty:
Two Factor Vs Multi-factor, an Authentication Battle in Mobile Cloud Computing Environments. ICFNDS 2017: 39:1-39:10 - [c19]Liangxiu Han, Muhammad Salman Haleem, Tam Sobeih, Ying Liu, Anthony Soroka, Lianghao Han:
An Automated Cloud-Based Big Data Analytics Platform for Customer Insights. iThings/GreenCom/CPSCom/SmartData 2017: 287-292 - 2016
- [j11]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming, Louis R. Pasquale, Paolo S. Silva, Brian J. Song, Lloyd Paul Aiello:
Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images. J. Medical Syst. 40(6): 132:1-132:19 (2016) - [c18]José Luis Gomez Ortega, Liangxiu Han, Nicholas Bowring:
A Novel Dynamic Hidden Semi-Markov Model (D-HSMM) for Occupancy Pattern Detection from Sensor Data Stream. NTMS 2016: 1-5 - [c17]Jianquan Cheng, Nicholas Gould, Liangxiu Han, Cheng Jin:
Big Data for Urban Studies: Opportunities and Challenges: A Comparative Perspective. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 1229-1234 - 2015
- [j10]Liangxiu Han, Hwee Yong Ong:
Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Clust. Comput. 18(1): 403-418 (2015) - [j9]Shuihua Wang, MengMeng Chen, Yang Li, Yudong Zhang, Liangxiu Han, Jane Wu, Sidan Du:
Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks. Comput. Math. Methods Medicine 2015: 454076:1-454076:12 (2015) - [j8]Liangxiu Han, Hasim Altan, Masa Noguchi:
A Feasibility Study on Occupants' Behaviour and Energy Usage Patterns and Its Potential Integration with Building Information Modelling. Int. J. 3 D Inf. Model. 4(1): 45-53 (2015) - [j7]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming:
Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. IEEE J. Biomed. Health Informatics 19(4): 1472-1482 (2015) - [c16]Tamir Sobeih, Nick Whittaker, Liangxiu Han:
DIVINE: Building a Wearable Device for Intelligent Control of Environment Using Google Glass. CIT/IUCC/DASC/PICom 2015: 1280-1285 - [c15]Jianguang Tu, Jianquan Cheng, Liangxiu Han:
Big Data Computation for Workshop-Based Planning Support. CIT/IUCC/DASC/PICom 2015: 1510-1514 - [c14]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming:
Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. EMBC 2015: 4318-4321 - 2014
- [c13]Muhammad Jasim Saeed, Liangxiu Han, Maybin K. Muyeba:
An energy efficient and resource preserving target tracking approach for wireless sensor networks. CSNDSP 2014: 232-237 - [c12]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming:
Superpixel Based Retinal Area Detection in SLO Images. ICCVG 2014: 254-261 - 2013
- [j6]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li:
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. Comput. Medical Imaging Graph. 37(7-8): 581-596 (2013) - [j5]Zeki Turedi, Liangxiu Han:
Automatic forensic log file analysis for Mac OS X systems. Int. J. Electron. Secur. Digit. Forensics 5(2): 124-138 (2013) - [c11]Maybin K. Muyeba, Liangxiu Han:
Fuzzy classification in web usage mining using fuzzy quantifiers. ASONAM 2013: 1381-1386 - [c10]Zheng Xie, Liangxiu Han, Richard A. Baldock:
Augmented Petri Net Cost Model for Optimisation of Large Bioinformatics Workflows Using Cloud. EMS 2013: 201-205 - [c9]Liangxiu Han, Zheng Xie, Richard A. Baldock:
Automatic data reuse for accelerating data intensive applications in the Cloud. ICITST 2013: 596-600 - [c8]Maybin K. Muyeba, Sandra Lewis, Liangxiu Han, John A. Keane:
Understanding Low Back Pain Using Fuzzy Association Rule Mining. SMC 2013: 3265-3270 - 2012
- [c7]Liangxiu Han, Hwee Yong Ong:
Accelerating Biomedical Data-Intensive Applications Using MapReduce. GRID 2012: 49-57 - 2011
- [j4]Liangxiu Han, Jano I. van Hemert, Richard A. Baldock:
Automatically identifying and annotating mouse embryo gene expression patterns. Bioinform. 27(8): 1101-1107 (2011) - [j3]Liangxiu Han, Chee Sun Liew, Jano I. van Hemert, Malcolm P. Atkinson:
A generic parallel processing model for facilitating data mining and integration. Parallel Comput. 37(3): 157-171 (2011) - 2010
- [j2]Liangxiu Han, Stephen Potter, George Beckett, Gavin J. Pringle, Stephen Welch, Sung-Han Koo, Gerhard Wickler, Asif Usmani, José L. Torero, Austin Tate:
FireGrid: An e-infrastructure for next-generation emergency response support. J. Parallel Distributed Comput. 70(11): 1128-1141 (2010) - [c6]Gagarine Yaikhom, Chee Sun Liew, Liangxiu Han, Jano I. van Hemert, Malcolm P. Atkinson, Amy Krause:
Federated Enactment of Workflow Patterns. Euro-Par (1) 2010: 317-328 - [c5]Chee Sun Liew, Malcolm P. Atkinson, Jano I. van Hemert, Liangxiu Han:
Towards optimising distributed data streaming graphs using parallel streams. HPDC 2010: 725-736
2000 – 2009
- 2009
- [c4]Liangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
Automating Gene Expression Annotation for Mouse Embryo. ADMA 2009: 469-478 - 2008
- [j1]Liangxiu Han, Dave Berry:
Semantic-supported and agent-based decentralized grid resource discovery. Future Gener. Comput. Syst. 24(8): 806-812 (2008) - 2007
- [c3]Liangxiu Han, Asen Asenov, Dave Berry, Campbell Millar, Gareth Roy, Scott Roy, Richard O. Sinnott, Gordon Stewart:
Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics. eScience 2007: 305-311 - 2005
- [c2]Ivan Dedinski, Hermann de Meer, Liangxiu Han, Laurent Mathy, Dimitrios P. Pezaros, Joseph S. Sventek, Xiaoying Zhan:
Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking. IWAN 2005: 13-27 - 2001
- [c1]Chuanshan Gao, Liangxiu Han, Zhiwei Cen, Chunbo Chu:
A New Multifractal Traffic Model Based on the Wavelet Transform. PDCS 2001: 157-162
Coauthor Index
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last updated on 2024-07-26 19:41 CEST by the dblp team
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