| 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 | 1116 | 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 | 514 | 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 | 467 | 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 | 454 | 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 | 389 | 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 | 317 | 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 | 283 | 2018 |
| 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 | 265 | 2019 |
| 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 | 261 | 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 | 258 | 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 | 251 | 2014 |
| 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 | 231 | 2020 |
| 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 | 223 | 2013 |
| 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 | 217 | 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 | 213 | 2020 |
| Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks C Chen, K Li, SG Teo, X Zou, K Li, Z Zeng ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-23, 2020 | 189 | 2020 |
| A disease diagnosis and treatment recommendation system based on big data mining and cloud computing J Chen, K Li, H Rong, K Bilal, N Yang, K Li Information Sciences 435, 124-149, 2018 | 189 | 2018 |
| A bi-layered parallel training architecture for large-scale convolutional neural networks J Chen, K Li, K Bilal, K Li, SY Philip IEEE transactions on parallel and distributed systems 30 (5), 965-976, 2018 | 185 | 2018 |
| 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 | 185 | 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 | 184 | 2014 |
