Liangxiu Han - RankMe

101 papers A 3B 3C 1Misc 1Journal 71Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A WDLoRA-Based Multimodal Generative Framework for Clinically Guided Corneal Confocal Microscopy Image Synthesis in Diabetic Neuropathy. CoRR Xin Zhang, Liangxiu Han, Yue Shi, Yalin Zheng, Uazman Alam, Maryam Ferdousi, Rayaz A. Malik
2026	J	`jnl`	AgriPINN: A Process-Informed Neural Network for Interpretable and Scalable Crop Biomass Prediction Under Water Stress. CoRR Yue Shi, Liangxiu Han, Xin Zhang, Tam Sobeih, Thomas Gaiser, Nguyen Huu Thuy, Dominik Behrend, Amit Kumar Srivastava, Krishnagopal Halder, Frank Ewert
2026	J	`jnl`	TabulaTime: Novel multimodal deep learning for Acute Coronary Syndrome prediction through environmental and clinical data integration. Artif. Intell. Medicine Xin Zhang, Liangxiu Han, Saad Hassan, Philip A Kalra, James Ritchie, Carl Diver, Jennie Shorley, Stephen White
2025	J	`jnl`	A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management. CoRR Shen Tan, Xin Zhang, Liangxiu Han, Huaguo Huang, Han Wang
2025	J	`jnl`	A novel energy-efficient spike transformer network for depth estimation from event cameras via cross-modality knowledge distillation. Neurocomputing Xin Zhang, Liangxiu Han, Sergio Davies, Tam Sobeih, Lianghao Han, Darren Dancey
2025	J	`jnl`	Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges. CoRR Yue Shi, Liangxiu Han, Xin Zhang, Tam Sobeih, Thomas Gaiser, Nguyen Huu Thuy, Dominik Behrend, Amit Kumar Srivastava, Krishnagopal Halder, Frank Ewert
2025	J	`jnl`	GP-GS: Gaussian Processes for Enhanced Gaussian Splatting. CoRR Zhihao Guo, Jingxuan Su, Shenglin Wang, Jinlong Fan, Jing Zhang, Liangxiu Han, Peng Wang
2025	J	`jnl`	HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis. CoRR Xin Zhang, Liangxiu Han, Yue Shi, Yanlin Zheng, Uazman Alam, Maryam Ferdousi, Rayaz A. Malik
2025	—	`conf`	ICIP 2025 Competition on Beyond Visible Spectrum: AI For Agriculture. ICIPW Liangxiu Han, Wenjiang Huang, Xin Zhang, Yue Shi, Yingying Dong, Tam Sobeih
2025	J	`jnl`	TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration. CoRR Xin Zhang, Liangxiu Han, Stephen White, Saad Hassan, Philip A Kalra, James Ritchie, Carl Diver, Jennie Shorley
2025	J	`jnl`	UGOD: Uncertainty-Guided Differentiable Opacity and Soft Dropout for Enhanced Sparse-View 3DGS. CoRR Zhihao Guo, Peng Wang, Zidong Chen, Xiangyu Kong, Yan Lyu, Guanyu Gao, Liangxiu Han
2025	J	`jnl`	WaveDiffUR: A Wavelet-Domain Diffusion Model for Ultraresolution in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. Yue Shi, Liangxiu Han, Lianghao Han, Darren Dancey, Xueqin Zhang
2024	J	`jnl`	A Generic Performance Model for Deep Learning in a Distributed Environment. IEEE Access Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye
2024	J	`jnl`	A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation. CoRR Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Darren Dancey
2024	J	`jnl`	Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data. IEEE Trans. Geosci. Remote. Sens. Sheng Chang, Zelong Chi, Hong Chen, Tongle Hu, Caixia Gao, Jihua Meng, Liangxiu Han
2024	—	`conf`	ICPR 2024 Competition on Beyond Visible Spectrum: AI for Agriculture. ICPR (34) Liangxiu Han, Wenjiang Huang, Xin Zhang, Yingying Dong, Tam Sobeih, Yufan Lin
2024	J	`jnl`	WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images. CoRR Yue Shi, Liangxiu Han, Darren Dancey, Lianghao Han
2023	J	`jnl`	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 Yue Shi, Liangxiu Han, Pablo González-Moreno, Darren Dancey, Wenjiang Huang, Zhiqiang Zhang, Yuanyuan Liu, Mengning Huang, Hong Miao, Min Dai
2023	J	`jnl`	A Generic Performance Model for Deep Learning in a Distributed Environment. CoRR Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye
2023	J	`jnl`	A Generic Self-Supervised Learning (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery. Remote. Sens. Xin Zhang, Liangxiu Han
2023	J	`jnl`	A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery. CoRR Xin Zhang, Liangxiu Han
2023	J	`jnl`	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 Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang
2023	J	`jnl`	Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang
2023	J	`jnl`	sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Access Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang
2023	J	`jnl`	sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. CoRR Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang
2022	J	`jnl`	A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han
2022	J	`jnl`	A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. IEEE Access Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang
2022	J	`jnl`	A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey
2022	J	`jnl`	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 Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang
2022	J	`jnl`	Attacking Digital Twins of Robotic Systems to Compromise Security and Safety. CoRR Christopher Carr, Shenglin Wang, Peng Wang, Liangxiu Han
2022	J	`jnl`	Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang
2022	J	`jnl`	Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery. Remote. Sens. Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu
2022	J	`jnl`	The Self-Supervised Spectral-Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery. Remote. Sens. Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi
2021	J	`jnl`	A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data. IEEE Access Xin Zhang, Liangxiu Han, Mark Robinson, Anthony Gallagher
2021	J	`jnl`	A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang
2021	J	`jnl`	A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution. CoRR Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey
2021	J	`jnl`	A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery. CoRR Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu
2021	J	`jnl`	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 Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina C. Dempsey-Hibbert, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White
2021	J	`jnl`	Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang
2021	J	`jnl`	Supervised Hyperalignment for Multisubject fMRI Data Alignment. IEEE Trans. Cogn. Dev. Syst. Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang
2021	J	`jnl`	The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery. CoRR Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi
2020	J	`jnl`	A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification. CoRR Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han
2020	J	`jnl`	Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers. Future Gener. Comput. Syst. Weichao Ding, Fei Luo, Liangxiu Han, Chunhua Gu, Haifeng Lu, Joel Fuentes
2020	J	`jnl`	An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang
2020	J	`jnl`	Cloud-based big data analytics for customer insight-driven design innovation in SMEs. Int. J. Inf. Manag. Ying Liu, Anthony Soroka, Liangxiu Han, Jin Jian, Min Tang
2020	J	`jnl`	How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? Remote. Sens. Xin Zhang, Liangxiu Han, Lianghao Han, Liang Zhu
2020	J	`jnl`	IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access Liangxiu Han, Daoqiang Zhang, Omer F. Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily
2020	J	`jnl`	Supervised Hyperalignment for multi-subject fMRI data alignment. CoRR Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang
2019	J	`jnl`	A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images. Remote. Sens. Xin Zhang, Liangxiu Han, Yingying Dong, Yue Shi, Wenjiang Huang, Lianghao Han, Pablo González-Moreno, Huiqin Ma, Huichun Ye, Tam Sobeih
2019	J	`jnl`	A Multiple-Layer Representation Learning Model for Network-Based Attack Detection. IEEE Access Xueqin Zhang, Jiahao Chen, Yue Zhou, Liangxiu Han, Jiajun Lin
2019	J	`jnl`	A Novel Online Dynamic Temporal Context Neural Network Framework for the Prediction of Road Traffic Flow. IEEE Access Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson
2019	J	`jnl`	A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals. Scientometrics Lijun Yang, Liangxiu Han, Naxin Liu
2019	B	`conf`	An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence. SMC Muhammad Salman Haleem, Liangxiu Han, Peter J. Harding, Mark Ellison
2019	J	`jnl`	Guest editorial: Special issue on software defined networking: Trends, challenges, and prospective smart solutions. Peer-to-Peer Netw. Appl. Ahmed E. Kamal, Liangxiu Han, Lu Liu, Sohail Jabbar
2019	J	`jnl`	Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote. Sens. Huiqin Ma, Wenjiang Huang, Yuanshu Jing, Chenghai Yang, Liangxiu Han, Yingying Dong, Huichun Ye, Yue Shi, Qiong Zheng, Linyi Liu, Chao Ruan
2019	J	`jnl`	Introduction to the special section on Advanced Signal Processing in Biomedical Imaging. Comput. Electr. Eng. Yudong Zhang, Liangxiu Han, Zhengchao Dong
2019	—	`conf`	Prediction of Road Traffic Flow Based on Deep Recurrent Neural Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson
2018	—	`conf`	A Machine Learning Based Approach for the Prediction of Road Traffic Flow on Urbanised Arterial Roads. HPCC/SmartCity/DSS Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson
2018	J	`jnl`	A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. J. Medical Syst. Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming, Louis R. Pasquale, Brian J. Song
2018	A	`conf`	A Unified Framework for Opinion Dynamics. AAMAS Adam Coates, Liangxiu Han, Anthony Kleerekoper
2018	A	`conf`	A Unified Opinion Framework Simulator. AAMAS Adam Coates, Liangxiu Han, Anthony Kleerekoper
2018	J	`jnl`	A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud. Concurr. Comput. Pract. Exp. Siguang Li, Zhengwen Huang, Liangxiu Han, Changjun Jiang
2018	—	`conf`	Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings. HPCC/SmartCity/DSS Pouyan Dinarvand, Liangxiu Han, Adam Coates, Lianghao Han
2018	J	`jnl`	Detection of advanced persistent threat using machine-learning correlation analysis. Future Gener. Comput. Syst. Ibrahim Ghafir, Mohammad Hammoudeh, Vaclav Prenosil, Liangxiu Han, Robert Hegarty, Khaled M. Rabie, Francisco J. Aparicio-Navarro
2018	J	`jnl`	IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging. IEEE Access Yudong Zhang, Yin Zhang, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han, Ming Yang, Carlo Cattani, Huimin Lu
2018	J	`jnl`	Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm. Complex. Shuihua Wang, Khan Muhammad, Yi-Ding Lv, Yuxiu Sui, Liangxiu Han, Yudong Zhang
2017	J	`jnl`	A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. Medical Image Anal. Lianghao Han, Hua Dong, Jamie R. McClelland, Liangxiu Han, David J. Hawkes, Dean C. Barratt
2017	—	`conf`	An Automated Cloud-Based Big Data Analytics Platform for Customer Insights. iThings/GreenCom/CPSCom/SmartData Liangxiu Han, Muhammad Salman Haleem, Tam Sobeih, Ying Liu, Anthony Soroka, Lianghao Han
2017	—	`conf`	Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence. ICFNDS Ibrahim Ghafir, Vaclav Prenosil, Mohammad Hammoudeh, Liangxiu Han, Umar Raza
2017	J	`jnl`	Preface. Fundam. Informaticae Yudong Zhang, Xiaojun Yang, Carlo Cattani, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han
2017	—	`conf`	Towards Sustainable Smart Society: Big Data Driven Approaches. ICFNDS Liangxiu Han
2017	—	`conf`	Two Factor Vs Multi-factor, an Authentication Battle in Mobile Cloud Computing Environments. ICFNDS J. K. Mohsin, Liangxiu Han, Mohammad Hammoudeh, Robert Hegarty
2016	—	`conf`	A Novel Dynamic Hidden Semi-Markov Model (D-HSMM) for Occupancy Pattern Detection from Sensor Data Stream. NTMS José Luis Gomez Ortega, Liangxiu Han, Nicholas Bowring
2016	—	`conf`	Big Data for Urban Studies: Opportunities and Challenges: A Comparative Perspective. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld Jianquan Cheng, Nicholas Gould, Liangxiu Han, Cheng Jin
2016	J	`jnl`	Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images. J. Medical Syst. Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming, Louis R. Pasquale, Paolo S. Silva, Brian J. Song, Lloyd Paul Aiello
2015	J	`jnl`	A Feasibility Study on Occupants' Behaviour and Energy Usage Patterns and Its Potential Integration with Building Information Modelling. Int. J. 3 D Inf. Model. Liangxiu Han, Hasim Altan, Masa Noguchi
2015	—	`conf`	Big Data Computation for Workshop-Based Planning Support. CIT/IUCC/DASC/PICom Jianguang Tu, Jianquan Cheng, Liangxiu Han
2015	—	`conf`	DIVINE: Building a Wearable Device for Intelligent Control of Environment Using Google Glass. CIT/IUCC/DASC/PICom Tamir Sobeih, Nick Whittaker, Liangxiu Han
2015	J	`jnl`	Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks. Comput. Math. Methods Medicine Shuihua Wang, Mengmeng Chen, Yang Li, Yudong Zhang, Liangxiu Han, Jane Wu, Sidan Du
2015	—	`conf`	Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. EMBC Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming
2015	J	`jnl`	Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Clust. Comput. Liangxiu Han, Hwee Yong Ong
2015	J	`jnl`	Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. IEEE J. Biomed. Health Informatics Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming
2014	—	`conf`	An energy efficient and resource preserving target tracking approach for wireless sensor networks. CSNDSP Muhammad Jasim Saeed, Liangxiu Han, Maybin K. Muyeba
2014	Misc	`conf`	Superpixel Based Retinal Area Detection in SLO Images. ICCVG Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming
2013	—	`conf`	Augmented Petri Net Cost Model for Optimisation of Large Bioinformatics Workflows Using Cloud. EMS Zheng Xie, Liangxiu Han, Richard A. Baldock
2013	—	`conf`	Automatic data reuse for accelerating data intensive applications in the Cloud. ICITST Liangxiu Han, Zheng Xie, Richard A. Baldock
2013	J	`jnl`	Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. Comput. Medical Imaging Graph. Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li
2013	J	`jnl`	Automatic forensic log file analysis for Mac OS X systems. Int. J. Electron. Secur. Digit. Forensics Zeki Turedi, Liangxiu Han
2013	B	`conf`	Fuzzy classification in web usage mining using fuzzy quantifiers. ASONAM Maybin K. Muyeba, Liangxiu Han
2013	B	`conf`	Understanding Low Back Pain Using Fuzzy Association Rule Mining. SMC Maybin K. Muyeba, Sandra Lewis, Liangxiu Han, John A. Keane
2012	—	`conf`	Accelerating Biomedical Data-Intensive Applications Using MapReduce. GRID Liangxiu Han, Hwee Yong Ong
2011	J	`jnl`	A generic parallel processing model for facilitating data mining and integration. Parallel Comput. Liangxiu Han, Chee Sun Liew, Jano I. van Hemert, Malcolm P. Atkinson
2011	J	`jnl`	Automatically identifying and annotating mouse embryo gene expression patterns. Bioinform. Liangxiu Han, Jano I. van Hemert, Richard A. Baldock
2010	—	`conf`	Federated Enactment of Workflow Patterns. Euro-Par (1) Gagarine Yaikhom, Chee Sun Liew, Liangxiu Han, Jano I. van Hemert, Malcolm P. Atkinson, Amy Krause
2010	J	`jnl`	FireGrid: An e-infrastructure for next-generation emergency response support. J. Parallel Distributed Comput. Liangxiu Han, Stephen Potter, George Beckett, Gavin J. Pringle, Stephen Welch, Sung-Han Koo, Gerhard Wickler, Asif Usmani, José L. Torero, Austin Tate
2010	A	`conf`	Towards optimising distributed data streaming graphs using parallel streams. HPDC Chee Sun Liew, Malcolm P. Atkinson, Jano I. van Hemert, Liangxiu Han
2009	C	`conf`	Automating Gene Expression Annotation for Mouse Embryo. ADMA Liangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson
2008	J	`jnl`	Semantic-supported and agent-based decentralized grid resource discovery. Future Gener. Comput. Syst. Liangxiu Han, Dave Berry
2007	—	`conf`	Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics. eScience Liangxiu Han, Asen Asenov, Dave Berry, Campbell Millar, Gareth Roy, Scott Roy, Richard O. Sinnott, Gordon Stewart
2005	—	`conf`	Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking. IWAN Ivan Dedinski, Hermann de Meer, Liangxiu Han, Laurent Mathy, Dimitrios P. Pezaros, Joseph S. Sventek, Xiaoying Zhan
2001	—	`conf`	A New Multifractal Traffic Model Based on the Wavelet Transform. PDCS Chuanshan Gao, Liangxiu Han, Zhiwei Cen, Chunbo Chu