Time series data augmentation for deep learning: A survey Q Wen, L Sun, F Yang, X Song, J Gao, X Wang, H Xu arXiv preprint arXiv:2002.12478, 2020 | 852 | 2020 |
Brick: Towards a unified metadata schema for buildings B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ... Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016 | 425 | 2016 |
PLAID: a public dataset of high-resolution electrical appliance measurements for load identification research: demo abstract J Gao, S Giri, EC Kara, M Bergés Proceedings of the 1st ACM Conference on Embedded Systems for Energy …, 2014 | 296 | 2014 |
Brick: Metadata schema for portable smart building applications B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ... Applied energy 226, 1273-1292, 2018 | 285 | 2018 |
RobustSTL: A robust seasonal-trend decomposition algorithm for long time series Q Wen, J Gao, X Song, L Sun, H Xu, S Zhu The 33rd AAAI Conference on Artificial Intelligence (AAAI-19) 33, 5409-5416, 2019 | 216 | 2019 |
RobustTAD: Robust time series anomaly detection via decomposition and convolutional neural networks J Gao, X Song, Q Wen, P Wang, L Sun, H Xu ACM KDD 2020 Workshop on Mining and Learning from Time Series, 2020 | 183 | 2020 |
A feasibility study of automated plug-load identification from high-frequency measurements J Gao, EC Kara, S Giri, M Bergés 2015 IEEE global conference on signal and information processing (GlobalSIP …, 2015 | 146 | 2015 |
A voltage and current measurement dataset for plug load appliance identification in households R Medico, L De Baets, J Gao, S Giri, E Kara, T Dhaene, C Develder, ... Scientific data 7 (1), 49, 2020 | 92 | 2020 |
A data-driven meta-data inference framework for building automation systems J Gao, J Ploennigs, M Berges Proceedings of the 2nd ACM International Conference on Embedded Systems for …, 2015 | 71 | 2015 |
Handling imbalance in an extended PLAID L De Baets, C Develder, T Dhaene, D Deschrijver, J Gao, M Berges 2017 Sustainable Internet and ICT for Sustainability (SustainIT), 1-5, 2017 | 41 | 2017 |
RobustTrend: A Huber loss with a combined first and second order difference regularization for time series trend filtering Q Wen, J Gao, X Song, L Sun, J Tan The 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019 | 37 | 2019 |
A large-scale evaluation of automated metadata inference approaches on sensors from air handling units J Gao, M Bergés Advanced Engineering Informatics 37, 14-30, 2018 | 32 | 2018 |
Contribution of cations to the photoluminescence properties of Eu-doped barium oxonitridosilicates phosphors JY Tang, JK Gao, JH Chen, LY Hao, X Xu, MH Lee Computational materials science 79, 478-484, 2013 | 20 | 2013 |
Mortar. io: A concrete building automation system: Demo abstract C Palmer, P Lazik, M Buevich, J Gao, M Berges, A Rowe, RL Pereira, ... Proceedings of the 1st ACM Conference on Embedded Systems for Energy …, 2014 | 14* | 2014 |
Data-Driven operation of building systems: present challenges and future prospects M Bergés, H Lange, J Gao Advanced Computing Strategies for Engineering: 25th EG-ICE International …, 2018 | 7 | 2018 |
Portable Queries Using the Brick Schema for Building Applications: Demo Abstract B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ... Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016 | 3 | 2016 |
First-principle Studies on Enhanced Optical Stability of BaMgAl10O17:Eu2+ Phosphor by SiN Doping Y Wang, Y Wang, J Gao, MH Lee, W He, X Xu, L Hao, J Chen Chinese Journal of Chemical Physics 25 (4), 398-402, 2012 | 3 | 2012 |
Time series decomposition W Qingsong, J Gao, S Xiaomin, L Sun, H Xu, W Yin, T Yao US Patent 11,146,445, 2021 | 2 | 2021 |
Regression modeling of sparse acyclic graphs in time series causal inference Y Li, J Gao, S Xiaomin, L Sun, T Yao US Patent 11,694,097, 2023 | | 2023 |
Periodicity detection and period length estimation in time series W Qingsong, K He, J Gao, L Sun, J Tan, T Yao US Patent 11,132,342, 2021 | | 2021 |