Keqin Li (李克勤)
Keqin Li (李克勤)
SUNY Distinguished Professor, National Distinguished Professor, MAE, AAAS/IEEE/AAIA/ACIS/AIIA Fellow
Verified email at - Homepage
Cited by
Cited by
A comprehensive survey of network function virtualization
B Yi, X Wang, K Li, M Huang
Computer Networks 133, 212-262, 2018
A parallel random forest algorithm for big data in a spark cloud computing environment
J Chen, K Li, Z Tang, K Bilal, S Yu, C Weng, K Li
IEEE Transactions on Parallel and Distributed Systems 28 (4), 919-933, 2016
A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues
Y Xu, K Li, J Hu, K Li
Information Sciences 270, 255-287, 2014
An energy-efficient task scheduling algorithm in DVFS-enabled cloud environment
Z Tang, L Qi, Z Cheng, K Li, SU Khan, K Li
Journal of Grid Computing 14, 55-74, 2016
A survey of intrusion detection for in-vehicle networks
W Wu, R Li, G Xie, J An, Y Bai, J Zhou, K Li
IEEE Transactions on Intelligent Transportation Systems 21 (3), 919-933, 2019
A hybrid deep learning CNN–ELM for age and gender classification
M Duan, K Li, C Yang, K Li
Neurocomputing 275, 448-461, 2018
Optimal multiserver configuration for profit maximization in cloud computing
J Cao, K Hwang, K Li, AY Zomaya
ieee transactions on parallel and distributed systems 24 (6), 1087-1096, 2012
Multi-user multi-task computation offloading in green mobile edge cloud computing
W Chen, D Wang, K Li
IEEE Transactions on Services Computing 12 (5), 726-738, 2018
SeDaSC: secure data sharing in clouds
M Ali, R Dhamotharan, E Khan, SU Khan, AV Vasilakos, K Li, AY Zomaya
IEEE Systems Journal 11 (2), 395-404, 2015
Energy-efficient stochastic task scheduling on heterogeneous computing systems
K Li, X Tang, K Li
IEEE Transactions on Parallel and Distributed Systems 25 (11), 2867-2876, 2013
Distributed deep learning model for intelligent video surveillance systems with edge computing
J Chen, K Li, Q Deng, K Li, SY Philip
IEEE Transactions on Industrial Informatics, 2019
Performance analysis and optimization for SpMV on GPU using probabilistic modeling
K Li, W Yang, K Li
IEEE Transactions on Parallel and Distributed Systems 26 (1), 196-205, 2014
Optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers
J Cao, K Li, I Stojmenovic
IEEE Transactions on Computers 63 (1), 45-58, 2013
Optimal dynamic mobility management for PCS networks
J Li, H Kameda, K Li
IEEE/ACM Transactions on Networking 8 (3), 319-327, 2000
A two dimensional buddy system for dynamic resource allocation in a partitionable mesh connected system
K Li, KH Cheng
Proceedings of the 1990 ACM annual conference on Cooperation, 22-27, 1990
Scheduling precedence constrained stochastic tasks on heterogeneous cluster systems
K Li, X Tang, B Veeravalli, K Li
IEEE Transactions on computers 64 (1), 191-204, 2013
An efficiency-boosting client selection scheme for federated learning with fairness guarantee
T Huang, W Lin, W Wu, L He, K Li, AY Zomaya
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1552-1564, 2020
Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems
L Zhang, K Li, C Li, K Li
Information Sciences 379, 241-256, 2017
A scheduling scheme in the cloud computing environment using deep Q-learning
Z Tong, H Chen, X Deng, K Li, K Li
Information Sciences 512, 1170-1191, 2020
Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms
Z Zhou, J Abawajy, M Chowdhury, Z Hu, K Li, H Cheng, AA Alelaiwi, F Li
Future Generation Computer Systems 86, 836-850, 2018
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