iProX: an integrated proteome resource J Ma, T Chen, S Wu, C Yang, M Bai, K Shu, K Li, G Zhang, Z Jin, F He, ... Nucleic acids research 47 (D1), D1211-D1217, 2019 | 1003 | 2019 |
vCUDA: GPU-accelerated high-performance computing in virtual machines L Shi, H Chen, J Sun, K Li IEEE Transactions on computers 61 (6), 804-816, 2011 | 506 | 2011 |
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 | 449 | 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 | 443 | 2014 |
Hyperspectral anomaly detection with attribute and edge-preserving filters X Kang, X Zhang, S Li, K Li, J Li, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5600-5611, 2017 | 363 | 2017 |
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 | 301 | 2016 |
A hybrid deep learning CNN–ELM for age and gender classification M Duan, K Li, C Yang, K Li Neurocomputing 275, 448-461, 2018 | 270 | 2018 |
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 | 244 | 2013 |
Gated residual recurrent graph neural networks for traffic prediction C Chen, K Li, SG Teo, X Zou, K Wang, J Wang, Z Zeng Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 485-492, 2019 | 240 | 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 | 238 | 2014 |
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 | 237 | 2019 |
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 | 218 | 2013 |
Repurpose open data to discover therapeutics for COVID-19 using deep learning X Zeng, X Song, T Ma, X Pan, Y Zhou, Y Hou, Z Zhang, K Li, G Karypis, ... Journal of proteome research 19 (11), 4624-4636, 2020 | 215 | 2020 |
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 | 196 | 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 | 196 | 2017 |
Springer International Publishing: Cham Q Wang, A Zomaya, G Martinez, K Li Switzerland, 2015 | 196 | 2015 |
LAMP: Improving Compression Ratio for AMR Applications via Level Associated Mapping-based Preconditioning Y Li, H Luo, F Li, J Wang, K Li IEEE Transactions on Computers, 2023 | 188 | 2023 |
Chemical reaction optimization with greedy strategy for the 0–1 knapsack problem TK Truong, K Li, Y Xu Applied soft computing 13 (4), 1774-1780, 2013 | 180 | 2013 |
A profit maximization scheme with guaranteed quality of service in cloud computing J Mei, K Li, A Ouyang, K Li IEEE Transactions on Computers 64 (11), 3064-3078, 2015 | 175 | 2015 |
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, 2014 | 175 | 2014 |