| Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach K Chen, J Yu Applied energy 113, 690-705, 2014 | 326 | 2014 |
| Incremental few-shot learning via vector quantization in deep embedded space K Chen, CG Lee International Conference on Learning Representations, 2020 | 77 | 2020 |
| A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction J Yu, K Chen, J Mori, MM Rashid Energy 61, 673-686, 2013 | 74 | 2013 |
| A Bayesian model averaging based multi-kernel Gaussian process regression framework for nonlinear state estimation and quality prediction of multiphase batch processes with … J Yu, K Chen, MM Rashid Chemical Engineering Science 93, 96-109, 2013 | 54 | 2013 |
| Soft sensor model maintenance: A case study in industrial processes K Chen, I Castillo, LH Chiang, J Yu IFAC-PapersOnLine 48 (8), 427-432, 2015 | 32 | 2015 |
| Meta-free few-shot learning via representation learning with weight averaging K Chen, CG Lee 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| Unsupervised few-shot learning via deep laplacian eigenmaps K Chen, CG Lee arXiv preprint arXiv:2210.03595, 2022 | 3 | 2022 |
| Attentive Gaussian processes for probabilistic time-series generation K Chen, CG Lee Canadian Operational Research Society Conference, 2021 | 2 | 2021 |
| Multi-kernel Gaussian process regression and Bayesian model averaging based nonlinear state estimation and quality prediction of multiphase batch processes J Yu, K Chen, J Mori, MM Rashid 2013 American Control Conference, 5451-5456, 2013 | 2 | 2013 |
| Adversarial perturbation based latent reconstruction for domain-agnostic self-supervised learning K Chen, S Tian, CG Lee NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice, 2022 | 1 | 2022 |
| Learning Representation to Build Models with Few-shot Data K Chen University of Toronto, 2022 | | 2022 |
| Data-driven modeling for quality control in chemical processes K Chen McMaster University, 2014 | | 2014 |
| Expectation-maximization and Bayesian inference based probabilistic PLS methods for soft sensor estimation and prediction of industrial processes with stochastic missing … K Chen, J Yu, I Castillo, LH Chiang 2013 AIChE Annual Meeting, 2013 | | 2013 |
