Optimal Scheduling of Aperiodic Jobs on Cluster. - Ligang He; Hai Jin 001; Ying Chen; Zongfen Han (Euro-Par, 2001)

Optimal Dispatching and Scheduling for Both Periodic and Aperiodic Jobs in Cluster. - Hai Jin 001; Ligang He; Zongfen Han (ICPP Workshops, 2002)

Dynamic Scheduling of Parallel Real-Time Jobs by Modelling Spare Capabilities in Heterogeneous Clusters. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Graham R. Nudd (CLUSTER, 2003)

Performance-Based Dynamic Scheduling of Hybrid Real-Time Applications on a Cluster of Hetrogeneous Workstations. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Graham R. Nudd (Euro-Par, 2003)

Queueing Network-based Optimisation Techniques for Workload Allocation in Clusters of Computers. - Ligang He; Stephen A. Jarvis; David A. Bacigalupo; Daniel P. Spooner; Xinuo Chen; Graham R. Nudd (IEEE SCC, 2004)

Hybrid Performance-Oriented Scheduling of Moldable Jobs with QoS Demands in Multiclusters and Grids. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Xinuo Chen; Graham R. Nudd (GCC, 2004)

Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Xinuo Chen; Graham R. Nudd (GRID, 2004)

An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications. - David A. Bacigalupo; Stephen A. Jarvis; Ligang He; Graham R. Nudd (IPDPS, 2004)

Optimising Static Workload Allocation in Multiclusters. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Graham R. Nudd (IPDPS, 2004)

Performance-Aware Load Balancing for Multiclusters. - Ligang He; Stephen A. Jarvis; David A. Bacigalupo; Daniel P. Spooner; Graham R. Nudd (ISPA, 2004)

Hybrid performance-based workload management for multiclusters and grids. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Xinuo Chen; Graham R. Nudd (IEE Proc. Softw., 2004)

Dynamic, capability-driven scheduling of DAG-based real-time jobs in heterogeneous clusters. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Graham R. Nudd (Int. J. High Perform. Comput. Netw., 2004)

Mapping DAG-based applications to multiclusters with background workload. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; David A. Bacigalupo; Guang Tan; Graham R. Nudd (CCGRID, 2005)

ModellingWeb transfer Performance over Asymmetric Networks. - Guang Tan; Stephen A. Jarvis; Ligang He; Xinuo Chen; Daniel P. Spooner (ICPADS (2), 2005)

A Comparative Evaluation of Two Techniques for Predicting the Performance of Dynamic Enterprise Systems. - David A. Bacigalupo; Stephen A. Jarvis; Ligang He; Daniel P. Spooner; D. Pelych; Graham R. Nudd (PARCO, 2005)

Comparing Layered Queuing and Historical Performance Models of a Distributed Enterprise Application. - David A. Bacigalupo; Stephen A. Jarvis; Ligang He; Daniel P. Spooner; Graham R. Nudd (Parallel and Distributed Computing and Networks, 2005)

Performance-Aware Workflow Management for Grid Computing. - Daniel P. Spooner; Junwei Cao; Stephen A. Jarvis; Ligang He; Graham R. Nudd (Comput. J., 2005)

The impact of predictive inaccuracies on execution scheduling. - Stephen A. Jarvis; Ligang He; Daniel P. Spooner; Graham R. Nudd (Perform. Evaluation, 2005)

An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications. - David A. Bacigalupo; Stephen A. Jarvis; Ligang He; Daniel P. Spooner; Donna N. Dillenberger; Graham R. Nudd (J. Supercomput., 2005)

Performance evaluation of scheduling applications with DAG topologies on multiclusters with independent local schedulers. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Graham R. Nudd (IPDPS, 2006)

Allocating Non-Real-Time and Soft Real-Time Jobs in Multiclusters. - Ligang He; Stephen A. Jarvis; Daniel P. Spooner; Hong Jiang; Donna N. Dillenberger; Graham R. Nudd (IEEE Trans. Parallel Distributed Syst., 2006)

Partition-based Profit Optimisation for Multi-class Requests in Clusters of Servers. - Ligang He; James Wen Jun Xue; Stephen A. Jarvis (ICEBE, 2007)

A scheduling algorithm for revenue maximisation for cluster-based Internet services. - James Wen Jun Xue; Ligang He; Stephen A. Jarvis (ICPADS, 2007)

Dynamic Resource Allocation in Enterprise Systems. - James Wen Jun Xue; Adam P. Chester; Ligang He; Stephen A. Jarvis (ICPADS, 2008)

A System for Dynamic Server Allocation in Application Server Clusters. - Adam P. Chester; James Wen Jun Xue; Ligang He; Stephen A. Jarvis (ISPA, 2008)

Performance prediction for running workflows under role-based authorization mechanisms. - Ligang He; Mark Calleja; Mark Hayes; Stephen A. Jarvis (IPDPS, 2009)

CRBAC: Imposing multi-grained constraints on the RBAC model in the multi-application environment. - Deqing Zou; Ligang He; Hai Jin 001; Xueguang Chen (J. Netw. Comput. Appl., 2009)

Dynamic Active Window Management: A Method for Improving Revenue Generation in Dynamic Enterprise Systems. - Mohammad A. Alghamdi; Adam P. Chester; Ligang He; Stephen A. Jarvis; James Wen Jun Xue (CIT, 2011)

Modelling Workflow Executions under Role-Based Authorisation Control. - Ligang He; Kewei Duan; Xueguang Chen; Deqing Zou; Zongfen Han; Ali Fadavinia; Stephen A. Jarvis (IEEE SCC, 2011)

Dynamic Resource Allocation and Active Predictive Models for Enterprise Applications. - Mohammad A. Alghamdi; Adam P. Chester; Ligang He; Stephen A. Jarvis (CLOSER, 2011)

EAPAC: An Enhanced Application Placement Framework for Data Centers. - Xuanhua Shi; Hongbo Jiang 001; Ligang He; Hai Jin 001; Chonggang Wang; Bo Yu; Fei Wang (CSE, 2011)

Optimizing Resource Consumptions in Clouds. - Ligang He; Deqing Zou; Zhang Zhang; Kai Yang; Hai Jin 001; Stephen A. Jarvis (GRID, 2011)

Modelling and analyzing the authorization and execution of video workflows. - Ligang He; Chenlin Huang; Kenli Li 001; Hao Chen 002; Jianhua Sun 002; Bo Gao 001; Kewei Duan; Stephen A. Jarvis (HiPC, 2011)

Analyzing and Improving MPI Communication Performance in Overcommitted Virtualized Systems. - Zhiyuan Shao; Qiang Wang; Xuejiao Xie; Hai Jin 001; Ligang He (MASCOTS, 2011)

Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models. - David A. Bacigalupo; Jano I. van Hemert; Xiaoyu Chen; Asif Usmani; Adam P. Chester; Ligang He; Donna N. Dillenberger; Gary B. Wills; Lester Gilbert; Stephen A. Jarvis (Simul. Model. Pract. Theory, 2011)

Performance Analysis for Workflow Management Systems under Role-Based Authorization Control. - Limin Liu; Ligang He; Stephen A. Jarvis (GPC, 2012)

From Mobiles to Clouds: Developing Energy-Aware Offloading Strategies for Workflows. - Bo Gao 001; Ligang He; Limin Liu; Kenli Li 001; Stephen A. Jarvis (GRID, 2012)

Allocating Resources for Workflows Running under Authorization Control. - Ligang He; Nadeem Chaudhary; Stephen A. Jarvis; Kenli Li 001 (GRID, 2012)

Chemical Reaction Optimization for Heterogeneous Computing Environments. - Kenli Li 001; Zhimin Zhang; Yuming Xu; Bo Gao 001; Ligang He (ISPA, 2012)

Modeling and analyzing the impact of authorization on workflow executions. - Ligang He; Chenlin Huang; Kewei Duan; Kenli Li 001; Hao Chen 002; Jianhua Sun 002; Stephen A. Jarvis (Future Gener. Comput. Syst., 2012)

An uncertainty assessment of interdependent infrastructure systems and infrastructure sectors with natural disasters analysis. - Wenping Xu; Liu Hong; Ligang He; Xueguang Chen (Int. J. Syst. Syst. Eng., 2012)

Developing communication-aware service placement frameworks in the Cloud economy. - Chao Chen 011; Ligang He; Hao Chen 002; Jianhua Sun 002; Bo Gao 001; Stephen A. Jarvis (CLUSTER, 2013)

Analyzing the performance impact of authorization constraints and optimizing the authorization methods for workflows. - Nadeem Chaudhary; Ligang He (HiPC, 2013)

iFlatLFS: Performance optimization for accessing massive small files. - Songling Fu; Chenlin Huang; Ligang He; Nadeem Chaudhary; Xiangke Liao; Shazhou Yang; Xiaochuan Wang; Bao Li 002 (HiPC, 2013)

A Graph based approach for Co-scheduling jobs on Multi-core computers. - Huanzhou Zhu; Ligang He (ICCSW, 2013)

Modelling Energy-Aware Task Allocation in Mobile Workflows. - Bo Gao 001; Ligang He (MobiQuitous, 2013)

Research of Network Coding Data Collection Mechanism Based on the Rough Routing in Wireless Multi-hop Network. - Jian Wan 001; Ligang He; Wei Zhang 138; Jie Huang 014; Mingbiao Li; Jilin Zhang; Nan Chen (WAIM Workshops, 2013)

Towards Automated Memory Model Generation Via Event Tracing. - O. F. J. Perks; D. A. Beckingsale; Simon D. Hammond; I. Miller; J. A. Herdman; A. Vadgama; Abhir H. Bhalerao; Ligang He; Stephen A. Jarvis (Comput. J., 2013)

VSA: An offline scheduling analyzer for Xen virtual machine monitor. - Zhiyuan Shao; Ligang He; Zhiqiang Lu; Hai Jin 001 (Future Gener. Comput. Syst., 2013)

Developing an optimized application hosting framework in Clouds. - Xuanhua Shi; Hongbo Jiang 001; Ligang He; Hai Jin 001; Chonggang Wang; Bo Yu; Xueguang Chen (J. Comput. Syst. Sci., 2013)

A DAG scheduling scheme on heterogeneous computing systems using double molecular structure-based chemical reaction optimization. - Yuming Xu; Kenli Li 001; Ligang He; Tung Truong Khac (J. Parallel Distributed Comput., 2013)

A Fast RPC System for Virtual Machines. - Hao Chen 002; Lin Shi; Jianhua Sun 002; Kenli Li 001; Ligang He (IEEE Trans. Parallel Distributed Syst., 2013)

Cadros: The Cloud-Assisted Data Replication in Decentralized Online Social Networks. - Songling Fu; Ligang He; Xiangke Liao; Chenlin Huang; Kenli Li 001; Cheng Chang; Bo Gao 001 (IEEE SCC, 2014)

Performance Analysis and Optimization for Stochastic Workflows Running under Authorization Constraints. - Cheng Chang; Ligang He; Hao Chen 002; Jianhua Sun 002; Kenli Li 001 (CSE, 2014)

Developing a Pattern Discovery Model for Host Load Data. - Zhuoer Gu; Cheng Chang; Ligang He; Kenli Li 001 (CSE, 2014)

Modelling and Predicting the Data Availability in Decentralized Online Social Networks. - Songling Fu; Ligang He; Xiangke Liao; Chenlin Huang; Kenli Li 001; Cheng Chang; Bo Gao 001 (ICWS, 2014)

Optimizing Job Scheduling on Multicore Computers. - Huanzhou Zhu; Ligang He; Stephen A. Jarvis (MASCOTS, 2014)

Developing security-aware resource management strategies for workflows. - Ligang He; Nadeem Chaudhary; Stephen A. Jarvis (Future Gener. Comput. Syst., 2014)

Developing resource consolidation frameworks for moldable virtual machines in clouds. - Ligang He; Deqing Zou; Zhang Zhang; Chao Chen 011; Hai Jin 001; Stephen A. Jarvis (Future Gener. Comput. Syst., 2014)

Energy-Aware Data Allocation and Task Scheduling on Heterogeneous Multiprocessor Systems With Time Constraints. - Yan Wang 022; Kenli Li 001; Hao Chen 002; Ligang He; Keqin Li 001 (IEEE Trans. Emerg. Top. Comput., 2014)

BAG: Managing GPU as Buffer Cache in Operating Systems. - Hao Chen 002; Jianhua Sun 002; Ligang He; Kenli Li 001; Huailiang Tan (IEEE Trans. Parallel Distributed Syst., 2014)

Developing Energy-Aware Task Allocation Schemes in Cloud-Assisted Mobile Workflows. - Bo Gao 001; Ligang He; Xin Lu; Cheng Chang; Kenli Li 001; Keqin Li 001 (CIT/IUCC/DASC/PICom, 2015)

An efficient method for motif discovery in CPU host load. - Zhuoer Gu; Ligang He; Cheng Chang; Jianhua Sun 002; Hao Chen 002; Chenlin Huang (FSKD, 2015)

GPSA: A Graph Processing System with Actors. - Jianhua Sun 002; Dongwei Zhou; Hao Chen 002; Cheng Chang; Zhiwen Chen 006; Wentao Li; Ligang He (ICPP, 2015)

Modelling and Developing Co-scheduling Strategies on Multicore Processors. - Huanzhou Zhu; Ligang He; Bo Gao 001; Kenli Li 001; Jianhua Sun 002; Hao Chen 002; Keqin Li 001 (ICPP, 2015)

Modelling and Optimizing Bandwidth Provision for Interacting Cloud Services. - Chao Chen 011; Ligang He; Bo Gao 001; Cheng Chang; Kenli Li 001; Keqin Li 001 (ICSOC, 2015)

Modelling the Bandwidth Allocation Problem in Mobile Service-Oriented Networks. - Bo Gao 001; Ligang He; Chao Chen 011 (MSWiM, 2015)

Offload Decision Models and the Price of Anarchy in Mobile Cloud Application Ecosystems. - Bo Gao 001; Ligang He; Stephen A. Jarvis (IEEE Access, 2015)

Automatic Composition of Heterogeneous Models Based on Semantic Web Services. - Hui Huang; Ligang He; Xueguang Chen; Minghui Yu; Zhiwu Wang (Int. J. Parallel Program., 2015)

The uncertainty recovery analysis for interdependent infrastructure systems using the dynamic inoperability input-output model. - Wenping Xu; Zongjun Wang; Liu Hong; Ligang He; Xueguang Chen (Int. J. Syst. Sci., 2015)

Analyzing and Boosting the Data Availability in Decentralized Online Social Networks. - Songling Fu; Ligang He; Xiangke Liao; Chenlin Huang; Kenli Li 001; Cheng Chang (Int. J. Web Serv. Res., 2015)

Performance Optimization for Managing Massive Numbers of Small Files in Distributed File Systems. - Songling Fu; Ligang He; Chenlin Huang; Xiangke Liao; Kenli Li 001 (IEEE Trans. Parallel Distributed Syst., 2015)

Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications. - Xuanhua Shi; Ming Chen; Ligang He; Xu Xie; Lu Lu 006; Hai Jin 001; Yong Chen 001; Song Wu 001 (IEEE Trans. Parallel Distributed Syst., 2015)

A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems. - Yuming Xu; Kenli Li 001; Ligang He; Longxin Zhang; Keqin Li 001 (IEEE Trans. Parallel Distributed Syst., 2015)

Enabling User-Policy-Confined VM Migration in Trusted Cloud Computing. - Chuanwang Hou; Chenlin Huang; Huadong Dai; Yan Ding; Ligang He; Mengluo Ji (FAS*W@SASO/ICCAC, 2016)

Developing a trustworthy computing framework for clouds. - Chenlin Huang; Ligang He; Xiangke Liao; Huadong Dai; Mengluo Ji (Int. J. Embed. Syst., 2016)

Developing the Cloud-integrated data replication framework in decentralized online social networks. - Songling Fu; Ligang He; Xiangke Liao; Chenlin Huang (J. Comput. Syst. Sci., 2016)

Lifetime-Based Memory Management for Distributed Data Processing Systems. - Lu Lu 006; Xuanhua Shi; Yongluan Zhou; Xiong Zhang; Hai Jin 001; Cheng Pei; Ligang He; Yuanzhen Geng (Proc. VLDB Endow., 2016)

Resource Management in Virtualized Clouds. - Ligang He; Laurence T. Yang; Zhihui Du; Florin Pop (Sci. Program., 2016)

Developing Graph-Based Co-Scheduling Algorithms on Multicore Computers. - Ligang He; Huanzhou Zhu; Stephen A. Jarvis (IEEE Trans. Parallel Distributed Syst., 2016)

Redundant Network Traffic Elimination with GPU Accelerated Rabin Fingerprinting. - Jianhua Sun 002; Hao Chen 002; Ligang He; Huailiang Tan (IEEE Trans. Parallel Distributed Syst., 2016)

MURS: Mitigating Memory Pressure in Service-Oriented Data Processing System. - Xuanhua Shi; Xiong Zhang; Ligang He; Hai Jin 001; Zhixiang Ke; Song Wu 001 (ICWS, 2017)

Policy-Customized: A New Abstraction for Building Security as a Service. - Chenlin Huang; Chuanwang Hou; Ligang He; Huadong Dai; Yan Ding (ISPAN-FCST-ISCC, 2017)

Developing Co-scheduling Mechanisms for Virtual Machines in Clouds. - Peng Jiang; Ligang He (ISPAN-FCST-ISCC, 2017)

Developing power-aware scheduling mechanisms for computing systems virtualized by Xen. - Shenyuan Ren; Ligang He; Huanzhou Zhu; Zhuoer Gu; Wei Song; Jiandong Shang (Concurr. Comput. Pract. Exp., 2017)

MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems. - Xuanhua Shi; Xiong Zhang; Ligang He; Hai Jin 001; Zhixiang Ke; Song Wu 001 (CoRR, 2017)

Performance analysis and optimization for workflow authorization. - Cheng Chang; Ligang He; Nadeem Chaudhary; Songling Fu; Hao Chen 002; Jianhua Sun 002; Kenli Li 001; Zhangjie Fu; Ming-Liang Xu (Future Gener. Comput. Syst., 2017)

Robot Cloud: Bridging the power of robotics and cloud computing. - Zhihui Du; Ligang He; Yinong Chen; Yu Xiao; Peng Gao; Tongzhou Wang 002 (Future Gener. Comput. Syst., 2017)

Developing an Efficient Pattern Discovery Method for CPU Utilizations of Computers. - Zhuoer Gu; Ligang He; Cheng Chang; Jianhua Sun 002; Hao Chen 002; Chenlin Huang (Int. J. Parallel Program., 2017)

Multi-resource scheduling and power simulation for cloud computing. - Weiwei Lin 001; Siyao Xu; Ligang He; Jin Li 002 (Inf. Sci., 2017)

Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. - Zhihui Du; Rong Ge 002; Victor W. Lee; Richard W. Vuduc; David A. Bader; Ligang He (Sci. Program., 2017)

Developing Offloading-Enabled Application Development Frameworks for Android Mobile Devices. - Hui Xia; Ligang He; Bin Wang; Cheng Chang; Xie Han; Carsten Maple (HPCC/SmartCity/DSS, 2018)

vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen. - Peng Jiang; Ligang He; Shenyuan Ren; Zhiyan Chen; Rui Mao 001 (ICA3PP (1), 2018)

Scheduling DAG Applications for Time Sharing Systems. - Shenyuan Ren; Ligang He; Junyu Li; Chao Chen 011; Zhuoer Gu; Zhiyan Chen (ICA3PP (2), 2018)

vGrouper: Optimizing the Performance of Parallel Jobs in Xen by Increasing Synchronous Execution of Virtual Machines. - Peng Jiang; Ligang He; Shenyuan Ren; Junyu Li; Yuhua Cui (NPC, 2018)

Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training. - Junyu Li; Ligang He; Shenyuan Ren; Rui Mao 001 (NPC, 2018)

CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Ligang He; Bingsheng He; Haikun Liu (USENIX ATC, 2018)

Developing a pattern discovery method in time series data and its GPU acceleration. - Huanzhou Zhu; Zhuoer Gu; Haiming Zhao; Keyang Chen; Chang-Tsun Li; Ligang He (Big Data Min. Anal., 2018)

Graph Processing on GPUs: A Survey. - Xuanhua Shi; Zhigao Zheng 001; Yongluan Zhou; Hai Jin 001; Ligang He; Bo Liu 057; Qiang-Sheng Hua (ACM Comput. Surv., 2018)

Concurrent hash tables on multicore machines: Comparison, evaluation and implications. - Zhiwen Chen 006; Xin He; Jianhua Sun 002; Hao Chen 002; Ligang He (Future Gener. Comput. Syst., 2018)

Modelling and developing conflict-aware scheduling on large-scale data centres. - Bin Wang; Chao Chen 011; Ligang He; Bo Gao 001; Jiadong Ren; Zhangjie Fu; Songling Fu; Yongjian Hu; Chang-Tsun Li (Future Gener. Comput. Syst., 2018)

Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights. - Wentai Wu; Weiwei Lin 001; Ching-Hsien Hsu; Ligang He (Future Gener. Comput. Syst., 2018)

Deca: A Garbage Collection Optimizer for In-Memory Data Processing. - Xuanhua Shi; Zhixiang Ke; Yongluan Zhou; Hai Jin 001; Lu Lu 006; Xiong Zhang; Ligang He; Zhenyu Hu; Fei Wang (ACM Trans. Comput. Syst., 2018)

Developing the Parallelization Methods for Finding the All-Pairs Shortest Paths in Distributed Memory Architecture. - Mohammed Alghamdi; Ligang He; Yujue Zhou; Junyu Li (IPCCC, 2019)

GraphM: an efficient storage system for high throughput of concurrent graph processing. - Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu; Yicheng Chen (SC, 2019)

A Novel Multimodal-Sequential Approach Based on Multi-View Features for Network Intrusion Detection. - Haitao He; Xiaobing Sun; Hongdou He; Guyu Zhao; Ligang He; Jiadong Ren (IEEE Access, 2019)

Software-defined QoS for I/O in exascale computing. - Yusheng Hua; Xuanhua Shi; Hai Jin 001; Wei Liu 004; Yan Jiang; Yong Chen 001; Ligang He (CCF Trans. High Perform. Comput., 2019)

Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. - Wentai Wu; Ligang He; Weiwei Lin 001 (CoRR, 2019)

SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001; Stephen A. Jarvis (CoRR, 2019)

WolfPath: Accelerating Iterative Traversing-Based Graph Processing Algorithms on GPU. - Huanzhou Zhu; Ligang He; Songling Fu; Rui Li 020; Xie Han; Zhangjie Fu; Yongjian Hu; Chang-Tsun Li (Int. J. Parallel Program., 2019)

CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. - Yu Zhang 027; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; Ligang He (ACM Trans. Storage, 2019)

A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. - Tiansheng Huang; Weiwei Lin 001; Yin Li; Ligang He; Shaoliang Peng (J. Signal Process. Syst., 2019)

Developing a Loss Prediction-based Asynchronous Stochastic Gradient Descent Algorithm for Distributed Training of Deep Neural Networks. - Junyu Li; Ligang He; Shenyuan Ren; Rui Mao 001 (ICPP, 2020)

Developing a Reassembling Algorithm for Broken Objects. - Caiqin Jia; Ligang He; Xiaowen Yang; Xingcheng Han; Bobo Chang; Xie Han (IEEE Access, 2020)

IEEE Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile Computing. - Xuxun Liu 001; Anfeng Liu; John Tadrous; Ligang He; Bo Ji; Zhongming Zheng (IEEE Access, 2020)

Developing a Parametric 3D Face Model Editing Algorithm. - Min Pang; Ligang He; Liqun Kuang; Min Chang; Zhiying He; Xie Han (IEEE Access, 2020)

Developing an Image-Based 3D Model Editing Method. - Min Pang; Ligang He; Fengguang Xiong; Xiaowen Yang; Zhiying He; Xie Han (IEEE Access, 2020)

Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes. - Xiaowen Yang; Xie Han; Qingde Li; Ligang He; Min Pang; Caiqin Jia (IEEE Access, 2020)

A parameter-level parallel optimization algorithm for large-scale spatio-temporal data mining. - Zhiqiang Liu; Xuanhua Shi; Ligang He; Dongxiao Yu; Hai Jin 001; Chen Yu 003; Hulin Dai; Zezhao Feng (Distributed Parallel Databases, 2020)

WolfGraph: The edge-centric graph processing on GPU. - Huanzhou Zhu; Ligang He; Matthew Leeke; Rui Mao 001 (Future Gener. Comput. Syst., 2020)

A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints. - Yikun Hu; Jinghong Li; Ligang He (Neural Comput. Appl., 2020)

MCAF: Developing an Annotation-Based Offloading Framework for Mobile Cloud Computing. - Yilian Zhou; Ligang He; Bin Wang; Yi Su; Hao Chen 002 (Sci. Program., 2020)

Optimizing the SSD Burst Buffer by Traffic Detection. - Xuanhua Shi; Wei Liu 004; Ligang He; Hai Jin 001; Ming Li; Yong Chen 001 (ACM Trans. Archit. Code Optim., 2020)

Minimizing Financial Cost of DDoS Attack Defense in Clouds With Fine-Grained Resource Management. - Bin Yuan; Huan Zhao; Chen Lin 006; Deqing Zou; Laurence Tianruo Yang; Hai Jin 001; Ligang He; Shui Yu 001 (IEEE Trans. Netw. Sci. Eng., 2020)

DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. - Yu Zhang 027; Xiaofei Liao; Hai Jin 001; Ligang He; Bingsheng He; Haikun Liu; Lin Gu 002 (HPCA, 2021)

MGGAN: Improving sample generations of Generative Adversarial Networks. - Hao Wu 058; Ligang He; Chang-Tsun Li; Junyu Li; Wentai Wu; Carsten Maple (HPCC/DSS/SmartCity/DependSys, 2021)

Multi-Camera Logical Topology Inference via Conditional Probability Graph Convolution Network. - Keyang Cheng; Qing Liu 015; Rabia Tahir; Lubamba Kasangu Eric; Ligang He (ICME, 2021)

LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. - Jin Zhao 003; Yu Zhang 027; Xiaofei Liao; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu (SC, 2021)

FedProf: Optimizing Federated Learning with Dynamic Data Profiling. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001; Chenlin Huang; Wei Song (CoRR, 2021)

Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. - Wentai Wu; Ligang He; Weiwei Lin 001 (CoRR, 2021)

Developing normalization schemes for data isolated distributed deep learning. - Yujue Zhou; Ligang He; Shuang-Hua Yang (IET Cyper-Phys. Syst.: Theory & Appl., 2021)

TurboDL: Improving the CNN Training on GPU With Fine-Grained Multi-Streaming Scheduling. - Hai Jin 001; Wenchao Wu; Xuanhua Shi; Ligang He; Bing Bing Zhou (IEEE Trans. Computers, 2021)

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001; Carsten Maple; Stephen A. Jarvis (IEEE Trans. Computers, 2021)

A Power Consumption Model for Cloud Servers Based on Elman Neural Network. - Wentai Wu; Weiwei Lin 001; Ligang He; Guangxin Wu; Ching-Hsien Hsu (IEEE Trans. Cloud Comput., 2021)

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. - Tiansheng Huang; Weiwei Lin 001; Wentai Wu; Ligang He; Keqin Li 001; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2021)

Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems. - Wentai Wu; Ligang He; Weiwei Lin 001; Rui Mao 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. - Zhigao Zheng 001; Xuanhua Shi; Ligang He; Hai Jin 001; Shuo Wei; Hulin Dai; Xuan Peng (IEEE Trans. Parallel Distributed Syst., 2021)

Allocating Resource Capacities for an Offload-enabled Mobile Edge Cloud System. - Zhiyan Chen; Ligang He (BigDataService, 2022)

Modelling Task Offloading Mobile Edge Computing. - Zhiyan Chen; Ligang He (ICCDE, 2022)

Modelling the offload of AI Tasks in Mobile Clouds. - Zhiyan Chen; Ligang He (ICUFN, 2022)

TDGraph: a topology-driven accelerator for high-performance streaming graph processing. - Jin Zhao 003; Yun Yang 001; Yu Zhang 027; Xiaofei Liao; Lin Gu 002; Ligang He; Bingsheng He; Hai Jin 001; Haikun Liu; Xinyu Jiang; Hui Yu (ISCA, 2022)

Optimizing Offloading Strategies for Mobile Edge Cloud Systems. - Zhiyan Chen; Ligang He (SmartCloud, 2022)

Reveal training performance mystery between TensorFlow and PyTorch in the single GPU environment. - Hulin Dai; Xuan Peng; Xuanhua Shi; Ligang He; Qian Xiong; Hai Jin 001 (Sci. China Inf. Sci., 2022)

Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks. - Saurav Sthapit; Subhash Lakshminarayana; Ligang He; Gregory Epiphaniou; Carsten Maple (IEEE Internet Things J., 2022)

Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval. - Shichao Jiao; Xie Han; Fengguang Xiong; Xiaowen Yang; Huiyan Han; Ligang He; Liqun Kuang (Neural Comput. Appl., 2022)

A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. - Xiaofei Liao; Jin Zhao 003; Yu Zhang 027; Bingsheng He; Ligang He; Hai Jin 001; Lin Gu 002 (IEEE Trans. Computers, 2022)

PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud. - Luyang Li; Ligang He; Jinjin Gao; Xie Han (IEEE Trans. Circuits Syst. Video Technol., 2022)

Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. - Wentai Wu; Ligang He; Weiwei Lin 001; Yi Su; Yuhua Cui; Carsten Maple; Stephen A. Jarvis (IEEE Trans. Knowl. Data Eng., 2022)

LoomIO: Object-Level Coordination in Distributed File Systems. - Yusheng Hua; Xuanhua Shi; Kang He; Hai Jin 001; Wei Xie; Ligang He; Yong Chen 001 (IEEE Trans. Parallel Distributed Syst., 2022)

An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers. - Weiwei Lin 001; Wentai Wu; Ligang He (IEEE Trans. Serv. Comput., 2022)

vChecker: an application-level demand-based co-scheduler for improving the performance of parallel jobs in Xen. - Peng Jiang; Ligang He; Shenyuan Ren; Zhiyan Chen; Rui Mao 001 (Wirel. Networks, 2022)

Contention-aware prediction for performance impact of task co-running in multicore computers. - Shenyuan Ren; Ligang He; Junyu Li; Zhiyan Chen; Peng Jiang; Chang-Tsun Li (Wirel. Networks, 2022)

PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. - Hao Qi 004; Yu Zhang 027; Ligang He; Kang Luo; Jun Huang; Haoyu Lu; Jin Zhao 003; Hai Jin 001 (DAC, 2023)

Revealing Ongoing Sensor Attacks in Industrial Control System Via Setpoint Modification. - Zhihao Dai; Ligang He; Shuang-Hua Yang; Matthew Leeke (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Service-Aware Cooperative Task Offloading and Scheduling in Multi-access Edge Computing Empowered IoT. - Zhiyan Chen; Ming Tao 001; Xueqiang Li 001; Ligang He (ICA3PP (2), 2023)

Self-Supervised Leaf Segmentation under Complex Lighting Conditions. - Xufeng Lin; Chang-Tsun Li; Scott D. Adams; Abbas Z. Kouzani; Richard Jiang 001; Ligang He; Yongjian Hu; Michael Vernon; Egan H. Doeven; Lawrence Webb; Todd Mcclellan; Adam Guskic (Pattern Recognit., 2023)

An adaptive workload-aware power consumption measuring method for servers in cloud data centers. - Weiwei Lin 001; Yufeng Zhang; Wentai Wu; Simon Fong 001; Ligang He; Jia Chang (Computing, 2023)

FedProf: Selective Federated Learning Based on Distributional Representation Profiling. - Wentai Wu; Ligang He; Weiwei Lin 001; Carsten Maple (IEEE Trans. Parallel Distributed Syst., 2023)

TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion. - Wenchao Wu; Xuanhua Shi; Ligang He; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2023)

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. - Jin Zhao 003; Yu Zhang 027; Ligang He; Qikun Li; Xiang Zhang; Xinyu Jiang; Hui Yu; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; et al. (ACM Trans. Archit. Code Optim., 2023)

TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs. - Wenchao Wu; Xuanhua Shi; Ligang He; Hai Jin 001 (IEEE Trans. Computers, 2023)

Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training. - Xuanhua Shi; Xuan Peng; Ligang He; Yunfei Zhao; Hai Jin 001 (IEEE Trans. Computers, 2023)

Multi-view stereo network with point attention. - Rong Zhao; Zhuoer Gu; Xie Han; Ligang He; Fusheng Sun; Shichao Jiao (Appl. Intell., 2023)

CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Donghao He; Qikun Li; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu (DAC, 2024)

LSGraph: A Locality-centric High-performance Streaming Graph Engine. - Hao Qi 004; Yiyang Wu; Ligang He; Yu Zhang 027; Kang Luo; Minzhi Cai; Hai Jin 001; Zhan Zhang 003; Jin Zhao 003 (EuroSys, 2024)

DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks. - Da Yan; Ligang He (ICCS (1), 2024)

AIFed: Anomaly-resilient and Imbalance-aware Federated Learning. - Yi Su; Ligang He (ISSSR, 2024)

RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Yingqi Zhao; Xintao Li; Ruida Xin; Jin Zhao 003; Xiaofei Liao; Haikun Liu; Bingsheng He; Hai Jin 001 (MICRO, 2024)

SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series. - Zhihao Dai; Ligang He; Shuanghua Yang; Matthew Leeke (NeurIPS, 2024)

City Hotspot Identification Using Smart Cyber-Physical Social System. - Farhan Amin; Ligang He; Gyu Sang Choi (IEEE Access, 2024)

A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. - Wenjun Lin; Weiwei Lin 001; Jianpeng Lin; Haocheng Zhong; Jiangtao Wang; Ligang He (Sustain. Comput. Informatics Syst., 2024)

A Data-Distillation-Enhanced Autoencoder for Detecting Anomalous Gas Consumption. - Yujue Zhou; Jie Jiang 011; Shuang-Hua Yang; Ligang He; Yulong Ding; Kai Liu; Guozhong Zhu; Yali Qing (IEEE Internet Things J., 2024)

MMDataLoader: Reusing Preprocessed Data Among Concurrent Model Training Tasks. - Hai Jin 001; Zhanyang Zhu; Ligang He; Yuhao Li; Yusheng Hua; Xuanhua Shi (IEEE Trans. Computers, 2024)

Efficient Parallel Processing of All-Pairs Shortest Paths on Multicore and GPU Systems. - Mohammed Alghamdi; Ligang He; Shenyuan Ren; Mohammed Maray (IEEE Trans. Consumer Electron., 2024)

OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. - Hao Qi 004; Kang Luo; Ligang He; Yu Zhang 027; Minzhi Cai; Jingxin Dai; Bingsheng He; Hai Jin 001; Zhan Zhang 003; Jin Zhao 003; Hengshan Yue; Hui Yu; et al. (EuroSys, 2025)

Learning from imbalance: Cross-server power prediction in large data centers via domain adaptation regression. - Ruichao Mo; Weiwei Lin 001; Guozhi Liu; Haolin Liu; Ligang He (Expert Syst. Appl., 2025)

Distributed Autonomous Economic Control Strategy for the AC/DC Interconnected Microgrid Considering the Regulation Boundary of the Consensus Variable. - Haoyu Tan; Tingtao Wang; Yicong Wang; Jiaxu Wang; Ligang He; Shihong Miao (Int. J. Circuit Theory Appl., 2025)

DP-PINN+: A Dual-Phase PINN learning with automated phase division. - Da Yan; Ligang He (J. Comput. Sci., 2025)

Multi-agent dual actor-critic framework for reinforcement learning navigation. - Fengguang Xiong; Yaodan Zhang; Xinhe Kuang; Ligang He; Xie Han (Appl. Intell., 2025)

Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data. - Wentai Wu; Ligang He; Saiqin Long; Ahmed M. Abdelmoniem; Yingliang Wu; Rui Mao 001 (CoRR, 2025)

Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning. - Kaiwen Zuo; Jing Tang; Hanbing Qin; Binli Luo; Ligang He; Shiyan Tang (CoRR, 2025)

RuYi: Optimizing Burst Buffer Through Automated, Fine-Grained Process-to-BB Mapping. - Yusheng Hua; Xuanhua Shi; Ligang He; Kang He; Teng Zhang 001; Hai Jin 001; Yong Chen 001 (IEEE Trans. Computers, 2025)

PFed-NS: An Adaptive Personalized Federated Learning Scheme Through Neural Network Segmentation. - Yuchen Liu; Ligang He; Zhigao Zhang; Shenyuan Ren (IEEE Trans. Computers, 2025)

An adversarial reinforcement learning method to enhance server energy efficiency via DVFS and dynamic fan speed management. - Wenjun Lin; Jianpeng Lin; Jiachun Li; Mian Guo; Ligang He; Weiwei Lin (Computing, 2025)