Shapenet: A shapelet-neural network approach for multivariate time series classification G Li, B Choi, J Xu, SS Bhowmick, KP Chun, GLH Wong Proceedings of the AAAI conference on artificial intelligence 35 (9), 8375-8383, 2021 | 88 | 2021 |
Efficient shapelet discovery for time series classification G Li, B Choi, J Xu, SS Bhowmick, KP Chun, GLH Wong IEEE transactions on knowledge and data engineering 34 (3), 1149-1163, 2020 | 61 | 2020 |
Open-source simulators for cloud computing: Comparative study and challenging issues W Tian, M Xu, A Chen, G Li, X Wang, Y Chen Simulation Modelling Practice and Theory 58, 239-254, 2015 | 58 | 2015 |
HScheduler: an optimal approach to minimize the makespan of multiple MapReduce jobs W Tian, G Li, W Yang, R Buyya The Journal of Supercomputing 72, 2376-2393, 2016 | 34 | 2016 |
Flexcloud: A flexible and extendible simulator for performance evaluation of virtual machine allocation M Xu, G Li, W Yang, W Tian 2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015 | 16 | 2015 |
SVP-T: a shape-level variable-position transformer for multivariate time series classification R Zuo, G Li, B Choi, SS Bhowmick, DN Mah, GLH Wong Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11497 …, 2023 | 15 | 2023 |
IPS: instance profile for shapelet discovery for time series classification G Li, B Choi, J Xu, SS Bhowmick, DN Mah, GLH Wong 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1781-1793, 2022 | 9 | 2022 |
CloudSimNFV: modeling and simulation of energy-efficient NFV in cloud data centers W Yang, M Xu, G Li, W Tian arXiv preprint arXiv:1509.05875, 2015 | 7 | 2015 |
A comparative study of data skew in Hadoop M He, G Li, C Huang, Y Ye, W Tian Proceedings of the 2017 VI International Conference on Network …, 2017 | 6 | 2017 |
Autoshape: An autoencoder-shapelet approach for time series clustering G Li, B Choi, J Xu, SS Bhowmick, DN Mah, GLH Wong arXiv preprint arXiv:2208.04313, 2022 | 3 | 2022 |
SENSOR: data-driven construction of sketch-based visual query interfaces for time series data L Yan, N Xu, G Li, SS Bhowmick, B Choi, J Xu Proceedings of the VLDB Endowment 15 (12), 3650-3653, 2022 | 3 | 2022 |
Answering the why-not questions of graph query autocompletion G Li, N Ng, P Yi, Z Zhang, B Choi International Conference on Database Systems for Advanced Applications, 332-341, 2018 | 3 | 2018 |
Visualet: Visualizing Shapelets for Time Series Classification G Li, B Choi, SS Bhowmick, GLH Wong, KP Chun, S Li Proceedings of the 29th ACM International Conference on Information …, 2020 | 2 | 2020 |
Shapelet Discovery for Time Series Analysis G Li Hong Kong Baptist University, 2021 | | 2021 |
Novel shapelet patterns for time series classification (TSC) of AFP and ALT to predict HCC in patients with chronic hepatitis B on antiviral treatment VWK Hui, G Li, S Li, TCF Yip, YK Tse, VWS Wong, GLH Wong, BKK Choi JOURNAL OF HEPATOLOGY 75, S727-S727, 2021 | | 2021 |
Combined load balancing and energy efficiency in Hadoop W Tian, G Li, Y Chen, C Huang, W Yang | | 2016 |
Prepartition: Paradigm for the Load Balance of Virtual Machine Allocation in Data Centers M Xu, G Luo, L Tian, A Chen, Y Jiang, G Li, W Tian arXiv preprint arXiv:1508.06350, 2015 | | 2015 |
Supplementary Material ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification G Li, B Choi, J Xu, SS Bhowmick, KP Chun, GLH Wong | | |