Ligang He
Ligang He
Reader of Computer Science, University of Warwick, United Kingdom
Verified email at - Homepage
Cited by
Cited by
SAFA: A semi-asynchronous protocol for fast federated learning with low overhead
W Wu, L He, W Lin, R Mao, C Maple, S Jarvis
IEEE Transactions on Computers 70 (5), 655-668, 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
T Huang, W Lin, W Wu, L He, K Li, A Zomaya
IEEE Transactions on Parallel and Distributed Systems, 2020
A hybrid chemical reaction optimization scheme for task scheduling on heterogeneous computing systems
Y Xu, K Li, L He, L Zhang, K Li
IEEE Transactions on parallel and distributed systems 26 (12), 3208-3222, 2015
Graph processing on GPUs: A survey
X Shi, Z Zheng, Y Zhou, H Jin, L He, B Liu, QS Hua
ACM Computing Surveys (CSUR) 50 (6), 1-35, 2018
A DAG scheduling scheme on heterogeneous computing systems using double molecular structure-based chemical reaction optimization
Y Xu, K Li, L He, TK Truong
Journal of Parallel and Distributed Computing 73 (9), 1306-1322, 2013
Robot cloud: Bridging the power of robotics and cloud computing
Z Du, L He, Y Chen, Y Xiao, P Gao, T Wang
Future Generation Computer Systems 74, 337-348, 2017
Multi-resource scheduling and power simulation for cloud computing
W Lin, S Xu, L He, J Li
Information Sciences 397, 168-186, 2017
Accelerating federated learning over reliability-agnostic clients in mobile edge computing systems
W Wu, L He, W Lin, R Mao
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1539-1551, 2020
Dynamic scheduling of parallel jobs with QoS demands in multiclusters and grids
L He, SA Jarvis, DP Spooner, X Chen, GR Nudd
Fifth IEEE/ACM International Workshop on Grid Computing, 402-409, 2004
Performance-aware workflow management for Grid computing
DP Spooner, J Cao, SA Jarvis, L He, GR Nudd
The Computer Journal 48 (3), 347-357, 2005
Developing resource consolidation frameworks for moldable virtual machines in clouds
L He, D Zou, Z Zhang, C Chen, H Jin, SA Jarvis
Future Generation Computer Systems 32, 69-81, 2014
Energy-aware data allocation and task scheduling on heterogeneous multiprocessor systems with time constraints
Y Wang, K Li, H Chen, L He, K Li
IEEE transactions on emerging topics in computing 2 (2), 134-148, 2014
Allocating non-real-time and soft real-time jobs in multiclusters
L He, SA Jarvis, DP Spooner, H Jiang, DN Dillenberger, GR Nudd
IEEE transactions on Parallel and Distributed Systems 17 (2), 99-112, 2006
Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights
WT Wu, WW Lin, CH Hsu, LG He
Future Generation Computer Systems 86, 1351-1367, 2018
A Novel Multimodal-Sequential Approach Based on Multi-View Features for Network Intrusion Detection
H He, X Sun, H He, G Zhao, L He, J Ren
IEEE Access 7, 183207-183221, 2019
Lifetime-based memory management for distributed data processing systems
L Lu, X Shi, Y Zhou, X Zhang, H Jin, C Pei, L He, Y Geng
arXiv preprint arXiv:1602.01959, 2016
Mammoth: Gearing Hadoop towards memory-intensive MapReduce applications
X Shi, M Chen, L He, X Xie, L Lu, H Jin, Y Chen, S Wu
IEEE Transactions on Parallel and Distributed Systems 26 (8), 2300-2315, 2014
From mobiles to clouds: Developing energy-aware offloading strategies for workflows
B Gao, L He, L Liu, K Li, SA Jarvis
2012 ACM/IEEE 13th International Conference on Grid Computing, 139-146, 2012
Developing an unsupervised real-time anomaly detection scheme for time series with multi-seasonality
W Wu, L He, W Lin, Y Su, Y Cui, C Maple, S Jarvis
IEEE Transactions on Knowledge and Data Engineering 34 (9), 4147-4160, 2020
An On-line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers
W Lin, W Wu, L He
IEEE Transactions on Services Computing, 2019
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