| 2025 | HPCC | A Container-Orchestrated Parallel Processing Framework for Efficient Geological Environment Data Analytics. | Jiabao Li, Xiaohua Tian, Yuewei Wang, Min Jin, Xiaohui Huang, Yunliang Chen, Lizhe Wang |
| 2025 | HPCC | Performance-Driven Image-Based 3D Reconstruction Based on Collaborative Mobile UAV Docking Stations. | Ao Long, Xiaohui Huang, Xiaodao Chen, Li Cao, Kaijun Yang, Honglei Jing, Peiyao Zhao, Lizhe Wang |
| 2024 | IGARSS | Graph Laplacian Regularization and Local Collaborative Sparse Regression Based on Superpixel Segmentation for Hyperspectral Imagery. | Qishen Yang, Ruyi Feng, Lizhe Wang, Hui Luo |
| 2024 | WISE | Satellite-Driven Deep Learning Algorithm for Bathymetry Extraction. | Xiaohan Zhang, Xiaolong Chen, Wei Han, Xiaohui Huang, Yunliang Chen, Jianxin Li, Lizhe Wang |
| 2022 | IJCNN | A research of target tracking algorithm based on deep learning and kernel correlation filter. | Shengtao Sun, Jibing Gong, Yangyang Li, Lizhe Wang, Kaisheng Wang |
| 2022 | IGARSS | A Deep Learning-Based Framework for Urban Active Population Mapping from Remote Sensing Imagery. | Luxiao Cheng, Lizhe Wang, Ruyi Feng, Suzheng Tian |
| 2022 | IGARSS | A Graph-Based Dual Convolutional Network for Automatic Road Extraction from High Resolution Remote Sensing Images. | Fumin Cui, Yichang Shi, Ruyi Feng, Lizhe Wang, Tieyong Zeng |
| 2022 | IGARSS | Mapping of Small Water Bodies with Integrated Spatial Information for Time Series Images of Optical Remote Sensing. | Libei Fan, Yuting Dong, Ji Zhao, Christian Gei, Lizhe Wang, Hannes Taubenbck |
| 2022 | IGARSS | Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral Imagery. | Zhi Li, Ruyi Feng, Yichang Shi, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng |
| 2022 | IGARSS | CGVIZ: A Cesium-Based Visualization System for Multi-Source Geohazards Data. | Jiabao Li, Xiaohui Huang, Jining Yan, Yusen Dong, Junqiang Zhang, Lizhe Wang |
| 2022 | IGARSS | Remote Sensing Image Super-Resolution via Dilated Convolution Network with Gradient Prior. | Ziyu Liu, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng |
| 2021 | IGARSS | An Analysis for the Work Resumption Under the Covid-19 Epidemic based on VIIRS-DNB Nighttime Lights in China. | Suzheng Tian, Ruyi Feng, Lizhe Wang |
| 2021 | IJCAI | Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. | Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya |
| 2021 | IGARSS | Weakly Supervised Convolutional Neural Networks for Hyperspectral Unmixing. | Jiayu Bai, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang |
| 2021 | IGARSS | Joint Superpixel Segmentation and Graph Convolutional Network Road Extration for High-Resolution Remote Sensing Imagery. | Fumin Cui, Ruyi Feng, Lizhe Wang, Lifei Wei |
| 2021 | IGARSS | Low-Rank Representation Incorporating Local Spatial Constraint for Hyperspectral Anomaly Detection. | Hao Li, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Lifei Wei |
| 2020 | AAAI | CGD: Multi-View Clustering via Cross-View Graph Diffusion. | Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao |
| 2020 | AAAI | R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. | Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya |
| 2020 | IGARSS | Inshore Ship Detection Based on Multi-Information Fusion Network and Instance Segmentation. | Tian Tian, Peng Gao, Zhihong Pan, Hang Li, Lizhe Wang |
| 2020 | IGARSS | Semi-Supervised Hyperspectral Unmixing with Very Deep Convolutional Neural Networks. | Jiayu Bai, Ruyi Feng, Lizhe Wang, Hao Li, Fengpeng Li, Yanfei Zhong, Liangpei Zhang |
| 2020 | IGARSS | Multi-Level Strategy-Based Spatial Information Prediction for Spatiotemporal Remote Sensing Imagery Fusion. | Jia Chen, Ruyi Feng, Lizhe Wang, Wei Han, Jing Huang |
| 2020 | IGARSS | Fractal Characteristics and Evolution of Urban Land-Use: A Case Study in the Shenzhen City (1988-2015). | Luxiao Cheng, Lizhe Wang, Ruyi Feng |
| 2020 | IGARSS | A Multi-stage Network for Improving the Sample Quality in Aerial Image Object Detection. | Wei Han, Ruyi Feng, Lizhe Wang, Fengpeng Li, Lin Wu |
| 2020 | IGARSS | SE-HRNet: A Deep High-Resolution Network with Attention for Remote Sensing Scene Classification. | Lingling Li, Tian Tian, Hang Li, Lizhe Wang |
| 2019 | AAAI | Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. | Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang |
| 2019 | CVPR | DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. | Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya |
| 2019 | HPCC | Accelerating Homomorphic Full Adder Based on FHEW Using Multicore CPU and GPUs. | Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu |
| 2019 | HPCC | Distributed Differentially Private Matrix Factorization Based on ADMM. | Erkang Xue, Ruixin Guo, Feng Zhang, Lizhe Wang, Xiaohan Zhang, Guangzhi Qu |
| 2019 | IGARSS | Remote Sensing Scene Classification Based on Res-Capsnet. | Tian Tian, Xiaoyan Liu, Lizhe Wang |
| 2019 | IGARSS | Big Data Analysis of Remote Sensing Monitoring of Land Cover in Wuhan City from 2000 to 2017. | Zhipeng Wang, Jining Yan, Luxiao Cheng, Xiaohui Huang, Liang Huang, Lizhe Wang |
| 2019 | IGARSS | SAR Imaging Based on two-Dimensional Multifractional Modeling. | Gang Xiong, Lizhe Wang, Fang Wang, Lijun Wang |
| 2019 | IGARSS | Supervised Generative Adversarial Network Based Sample Generation for Scene Classification. | Wei Han, Ruyi Feng, Lizhe Wang, Jia Chen |
| 2019 | IGARSS | Sea-Land Segmentation With Res-UNet And Fully Connected CRF. | Zhengquan Chu, Tian Tian, Ruyi Feng, Lizhe Wang |
| 2019 | IGARSS | Attention based Residual Network for High-Resolution Remote Sensing Imagery Scene Classification. | Runyu Fan, Lizhe Wang, Ruyi Feng, Yingqian Zhu |
| 2019 | IGARSS | Local Block Grouping with Napca Spatial Preprocessing for Hyperspectral Remote Sensing Imagery Sparse Unmixing. | Ruyi Feng, Lizhe Wang, Yanfei Zhong |
| 2019 | IGARSS | D-Resunet: Resunet and Dilated Convolution for High Resolution Satellite Imagery Road Extraction. | Zhiqun Liu, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liqin Cao |
| 2018 | HPCC | An Indexing Approach for Efficient Supporting of Continuous Spatial Approximate Keyword Queries. | Ze Deng, Lizhe Wang, Junde Chu, Xiaohui Huang, Wei Han, Albert Y. Zomaya |
| 2018 | HPCC | Towards Building a Distributed Data Management Architecture to Integrate Multi-Sources Remote Sensing Big Data. | Xiaohui Huang, Lizhe Wang, Jining Yan, Ze Deng, Shaoyuan Wang, Yan Ma |
| 2018 | IGARSS | Adaptive Spatial-Scale-Aware Deep Convolutional Neural Network for High-Resolution Remote Sensing Imagery Scene Classification. | Wei Han, Ruyi Feng, Lizhe Wang, Lang Gao |
| 2017 | CloudCom | Virtual Network Function Placement: Towards Minimizing Network Latency and Lead Time. | Daewoong Cho, Javid Taheri, Albert Y. Zomaya, Lizhe Wang |
| 2017 | ICCAD | Offshore oil spill monitoring and detection: Improving risk management for offshore petroleum cyber-physical systems: (Invited paper). | Xiaodao Chen, Dongmei Zhang, Yuewei Wang, Lizhe Wang, Albert Y. Zomaya, Shiyan Hu |
| 2017 | IGARSS | Differentiable sparse unmixing based on Bregman divergence for hyperspectral remote sensing imagery. | Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang |
| 2016 | HPCC | SLA-Aware Scheduling of Map-Reduce Applications on Public Clouds. | Xuezhi Zeng, Saurabh Kumar Garg, Zhenyu Wen, Peter E. Strazdins, Lizhe Wang, Rajiv Ranjan |
| 2016 | IGARSS | A research on terrestrial water storage variations with grace satellite data in the Jing-Jin-Ji region. | Le Li, Lajiao Chen, Lizhe Wang |
| 2016 | IGARSS | Sparse presentation based blind remote sensing image deconvolution with priors of reference images. | Peng Liu, Jabin Zhang, Jingbo Wei, Jining Yan, Lizhe Wang |
| 2015 | CCGRID | Cross-Layer SLA Management for Cloud-hosted Big Data Analytics Applications. | Xuezhi Zeng, Rajiv Ranjan, Peter Strazdins, Saurabh Kumar Garg, Lizhe Wang |
| 2014 | IGARSS | Sparse representation for remote sensing images of long time sequences. | Jing Wen, Peng Liu, Lajiao Chen, Lizhe Wang |
| 2014 | IGARSS | The correlation analysis of NDVI products based on sparse representation. | Hui Zhong, Lizhe Wang, Peng Liu |
| 2014 | IGARSS | Spatiotemporal resolution enhancement via compressed sensing. | Cong Fan, Peng Liu, Lizhe Wang |
| 2014 | IGARSS | Compressed sensing based remote sensing image reconstruction using an auxiliary image as priors. | Hao Geng, Peng Liu, Lizhe Wang, Lajiao Chen |
| 2014 | MDM | Real-Time QoS Monitoring for Cloud-Based Big Data Analytics Applications in Mobile Environments. | Khalid Alhamazani, Rajiv Ranjan, Prem Prakash Jayaraman, Karan Mitra, Meisong Wang, Zhiqiang George Huang, Lizhe Wang, Fethi A. Rabhi |
| 2013 | ECMS | Genetic-Based Solutions For Independent Batch Scheduling In Data Grids. | Joanna Kolodziej, Magdalena Szmajduch, Samee Ullah Khan, Lizhe Wang, Dan Chen |
| 2013 | ECMS | A Toolchain For Profiling Virtual Machines. | Jiaqi Zhao, Jie Tao, Lizhe Wang, Andreas Wirooks |
| 2013 | HPCC | Using Traditional Data Analysis Algorithms to Detect Access Patterns for Massive Data Processing. | Jiaqi Zhao, Jie Tao, Lizhe Wang, Rajiv Ranjan, Joanna Kolodziej |
| 2013 | IGARSS | Simulation of ecohydrolgocal process using an optimality based model. | Lajiao Chen, Lizhe Wang, Yan Ma, Xiaomin Zhu |
| 2013 | IGARSS | Application of DDDAS in marine oil spill management: A new framework combining multiple source remote sensing monitoring and simulation as a symbiotic feedback control system. | Yao Li, Lizhe Wang, Lajiao Chen, Yan Ma, Xiaomin Zhu, Bin Chu |
| 2012 | CloudCom | Cloud monitoring for optimizing the QoS of hosted applications. | Khalid Alhamazani, Rajiv Ranjan, Fethi A. Rabhi, Lizhe Wang, Karan Mitra |
| 2012 | CLUSTER | Generic Parallel Programming for Massive Remote Sensing Data Processing. | Yan Ma, Lizhe Wang, Dingsheng Liu, Peng Liu, Jun Wang, Jie Tao |
| 2012 | ECMS | A Comparative Study Of Data Center Network Architectures. | Kashif Bilal, Samee Ullah Khan, Joanna Kolodziej, Limin Zhang, Khizar Hayat, Sajjad Ahmad Madani, Nasro Min-Allah, Lizhe Wang, Dan Chen |
| 2012 | ECMS | A Checkpoint Based Message Forwarding Approach For Opportunistic Communication. | Osman Khalid, Samee Ullah Khan, Joanna Kolodziej, Limin Zhang, Juan Li, Khizar Hayat, Sajjad Ahmad Madani, Lizhe Wang, Dan Chen |
| 2012 | ICPADS | Parallel Processing of Massive EEG Data with MapReduce. | Lizhe Wang, Dan Chen, Rajiv Ranjan, Samee Ullah Khan, Joanna Kolodziej, Jun Wang |
| 2012 | ICPADS | NOHAA: A NOvel Framework for HPC Analytics over Windows Azure. | Qiangju Xiao, Jun Wang, Yan Ma, Lizhe Wang |
| 2012 | PDP | A Performance Study of Virtual Machines on Multicore Architectures. | Jie Tao, Karl Frlinger, Lizhe Wang, Holger Marten |
| 2011 | FIT | An Application of Markov Jump Process Model for Activity-Based Indoor Mobility Prediction in Wireless Networks. | Joanna Kolodziej, Samee Ullah Khan, Lizhe Wang, Nasro Min-Allah, Sajjad Ahmad Madani, Nasir Ghani, Hongxiang Li |
| 2011 | ICPADS | Energy-Aware High Performance Computing: A Taxonomy Study. | Chang Cai, Lizhe Wang, Samee Ullah Khan, Jie Tao |
| 2011 | ICPADS | Towards Providing Cloud Functionalities for Grid Users. | Weizhou Peng, Jie Tao, Lizhe Wang, Holger Marten, Dan Chen |
| 2011 | ICPADS | Task Scheduling of Massive Spatial Data Processing across Distributed Data Centers: What's New? | Weijing Song, Shasha Yue, Lizhe Wang, Wanfeng Zhang, Dingsheng Liu |
| 2010 | AINA | Schedule Distributed Virtual Machines in a Service Oriented Environment. | Lizhe Wang, Gregor von Laszewski, Marcel Kunze, Jie Tao |
| 2010 | CCGRID | Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS. | Lizhe Wang, Gregor von Laszewski, Jai Dayal, Fugang Wang |
| 2010 | ICPADS | Building Similar Link Network in Large-Scale Web Resources. | Xiangfeng Luo, Jingjing Ni, Jun Zhang, Lizhe Wang |
| 2010 | ICPADS | Power Aware Scheduling for Parallel Tasks via Task Clustering. | Lizhe Wang, Jie Tao, Gregor von Laszewski, Dan Chen |
| 2010 | ICPP | Cyberaide onServe: Software as a Service on Production Grids. | Tobias Kurze, Lizhe Wang, Gregor von Laszewski, Jie Tao, Marcel Kunze, David Kramer, Wolfgang Karl |
| 2009 | CCGRID | Experiment and Workflow Management Using Cyberaide Shell. | Gregor von Laszewski, Andrew J. Younge, Xi He, G. (Kumar) Mahinthakumar, Lizhe Wang |
| 2009 | CLUSTER | Power-aware scheduling of virtual machines in DVFS-enabled clusters. | Gregor von Laszewski, Lizhe Wang, Andrew J. Younge, Xi He |
| 2009 | IPCCC | Thermal aware workload scheduling with backfilling for green data centers. | Lizhe Wang, Gregor von Laszewski, Jai Dayal, Thomas R. Furlani |
| 2008 | GPC | On-Demand Build a Virtual e-Science Workflow. | Lizhe Wang, Emeric Kwemou, Jie Tao, Marcel Kunze, David Kramer, Wolfgang Karl |
| 2008 | HPCC | Scientific Cloud Computing: Early Definition and Experience. | Lizhe Wang, Jie Tao, Marcel Kunze, Alvaro Canales Castellanos, David Kramer, Wolfgang Karl |
| 2007 | EuroPar | Information Service of Virtual Machine Pool for Grid Computing. | Marcel Kunze, Lizhe Wang |
| 2003 | CW | DPBP: A Sort-First Parallel Rendering Algorithm for Distributed Rendering Environments. | Huabing Zhu, Kai-Yun Chan, Lizhe Wang, Wentong Cai, Simon See |
| 2003 | PDPTA | A Grid Computing Infrastructure Based on OGSA. | Zhou Lei, Tianyi Zang, Wei Jie, Wentong Cai, Lizhe Wang |
| 2003 | PDPTA | Resource Co-Allocation for Meta-Task in Computational Grids. | Lizhe Wang, Wentong Cai, Bu-Sung Lee, Simon See, Wei Jie |
| 2003 | PDPTA | A Web Services Based Grid Performance Data Management Framework. | Tianyi Zang, Zhou Lei, Wei Jie, Wentong Cai, Lizhe Wang |