| “Why Should You Trust My Explanation?” Understanding Uncertainty in LIME Explanations Y Zhang, K Song, Y Sun, S Tan, M Udell Al for Social Goodness, workshop, International Conference on Machine Learning, 2019 | 106* | 2019 |
| Low-rank tucker approximation of a tensor from streaming data Y Sun, Y Guo, C Luo, J Tropp, M Udell SIAM Journal on Mathematics of Data Science 2 (4), 1123-1150, 2020 | 88 | 2020 |
| Why should you trust my explanation? Y Zhang, K Song, Y Sun, S Tan, M Udell Understanding uncertainty in LIME explanations 4, 2019 | 72 | 2019 |
| Tensor Random Projection for Low Memory Dimension Reduction Y Sun, Y Guo, JA Tropp, M Udell NeurIPS Workshop on Relational Representation Learning (Spotlights), 2018 | 45 | 2018 |
| Detection boundary and higher criticism approach for rare and weak genetic effects Z Wu, Y Sun, S He, J Cho, H Zhao, J Jin | 40 | 2014 |
| Large spectral density matrix estimation by thresholding Y Sun, Y Li, A Kuceyeski, S Basu arXiv preprint arXiv:1812.00532, 2018 | 24 | 2018 |
| FrequentNet: A New Interpretable Deep Learning Baseline for Image Classification Y Li, Z Wang, X Lu, K Song, Y Sun 12th International Conference on Electronics, Communications and Networks, 2020 | 15* | 2020 |
| FrequentNet: A New Deep Learning Baseline for Image Classification Y Li, Z Wang, K Song, Y Sun arXiv preprint arXiv:2001.01034, 2020 | 1 | 2020 |
| Kernel Distillation for Gaussian Processes C Song, Y Sun NIPS Workshop on All of Bayesian Nonparametrics (Spotlights at BNP@NIPS), 2018 | 1* | 2018 |
| Low Rank Tucker Approximation of a Tensor from Streaming Data M Udell, Y Sun, Y Guo, C Luo, J Tropp | | 2019 |
| High Dimensional Data Analysis With Dependency and Under Limited Memory Y Sun | | 2019 |
