| Multivariate time series classification using dynamic time warping template selection for human activity recognition S Seto, W Zhang, Y Zhou 2015 IEEE symposium series on computational intelligence, 1399-1406, 2015 | 209 | 2015 |
| A decoder-only foundation model for time-series forecasting A Das, W Kong, R Sen, Y Zhou Forty-first International Conference on Machine Learning, 2024 | 195 | 2024 |
| Dynamic tubulation of mitochondria drives mitochondrial network formation C Wang, W Du, QP Su, M Zhu, P Feng, Y Li, Y Zhou, N Mi, Y Zhu, D Jiang, ... Cell research 25 (10), 1108-1120, 2015 | 143 | 2015 |
| Approximation trees: statistical reproducibility in model distillation Y Zhou, Z Zhou, G Hooker Data Mining and Knowledge Discovery 38 (5), 3308-3346, 2024 | 103* | 2024 |
| Robust distillation for worst-class performance: on the interplay between teacher and student objectives S Wang, H Narasimhan, Y Zhou, S Hooker, M Lukasik, AK Menon Uncertainty in Artificial Intelligence, 2237-2247, 2023 | 16* | 2023 |
| Boulevard: regularized stochastic gradient boosted trees and their limiting distribution Y Zhou, G Hooker Journal of Machine Learning Research 23 (183), 1-44, 2022 | 16* | 2022 |
| Decision tree boosted varying coefficient models Y Zhou, G Hooker Data Mining and Knowledge Discovery 36 (6), 2237-2271, 2022 | 15* | 2022 |
| Approximate heavily-constrained learning with lagrange multiplier models H Narasimhan, A Cotter, Y Zhou, S Wang, W Guo Advances in Neural Information Processing Systems 33, 8693-8703, 2020 | 13 | 2020 |
| Distilling double descent A Cotter, AK Menon, H Narasimhan, AS Rawat, SJ Reddi, Y Zhou arXiv preprint arXiv:2102.06849, 2021 | 7 | 2021 |
| Asymptotics and Interpretability of Decision Trees and Decision Tree Ensembles Y Zhou Cornell University, 2019 | | 2019 |