Neither dust nor black carbon causing apparent albedo decline in Greenland's dry snow zone: Implications for MODIS C5 surface reflectance CM Polashenski, JE Dibb, MG Flanner, JY Chen, ZR Courville, AM Lai, ... Geophysical Research Letters 42 (21), 9319-9327, 2015 | 87 | 2015 |
Impact of MODIS sensor calibration updates on Greenland Ice Sheet surface reflectance and albedo trends KA Casey, CM Polashenski, J Chen, M Tedesco The Cryosphere 11 (4), 1781-1795, 2017 | 53 | 2017 |
Faster fundamental graph algorithms via learned predictions J Chen, S Silwal, A Vakilian, F Zhang International Conference on Machine Learning, 3583-3602, 2022 | 33 | 2022 |
Observations of pronounced Greenland ice sheet firn warming and implications for runoff production C Polashenski, Z Courville, C Benson, A Wagner, J Chen, G Wong, ... Geophysical Research Letters 41 (12), 4238-4246, 2014 | 33 | 2014 |
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks A Aamand, JY Chen, P Indyk, S Narayanan, R Rubinfeld, N Schiefer, ... arXiv preprint arXiv:2211.03232, 2022 | 15 | 2022 |
Triangle and Four Cycle Counting with Predictions in Graph Streams JY Chen, T Eden, P Indyk, H Lin, S Narayanan, R Rubinfeld, S Silwal, ... arXiv preprint arXiv:2203.09572, 2022 | 15 | 2022 |
Differentially Private All-Pairs Shortest Path Distances: Improved Algorithms and Lower Bounds JY Chen, B Ghazi, R Kumar, P Manurangsi, S Narayanan, J Nelson, Y Xu Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023 | 10* | 2023 |
(Optimal) Online Bipartite Matching with Degree Information A Aamand, JY Chen, P Indyk arXiv preprint arXiv:2110.11439, 2021 | 9* | 2021 |
Worst-case analysis for randomly collected data J Chen, G Valiant, P Valiant Advances in Neural Information Processing Systems 33, 18183-18193, 2020 | 6* | 2020 |
CrossTrainer: Practical Domain Adaptation with Loss Reweighting J Chen, E Gan, K Rong, S Suri, P Bailis Proceedings of the 3rd International Workshop on Data Management for End-to …, 2019 | 6 | 2019 |
Improved Space Bounds for Learning with Experts A Aamand, JY Chen, HL Nguyen, S Silwal arXiv preprint arXiv:2303.01453, 2023 | 5 | 2023 |
Space-Optimal Profile Estimation in Data Streams with Applications to Symmetric Functions JY Chen, P Indyk, DP Woodruff arXiv preprint arXiv:2311.17868, 2023 | 2 | 2023 |
Improved Frequency Estimation Algorithms with and without Predictions A Aamand, JY Chen, H Nguyen, S Silwal, A Vakilian Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
Constant Approximation for Individual Preference Stable Clustering A Aamand, JY Chen, A Liu, S Silwal, P Sukprasert, A Vakilian, F Zhang arXiv preprint arXiv:2309.16840, 2023 | 1 | 2023 |
Data Structures for Density Estimation A Aamand, A Andoni, JY Chen, P Indyk, S Narayanan, S Silwal arXiv preprint arXiv:2306.11312, 2023 | 1 | 2023 |
Streaming Algorithms for Support-Aware Histograms J Chen, P Indyk, T Wagner International Conference on Machine Learning, 3184-3203, 2022 | 1 | 2022 |
Learned Interpolation for Better Streaming Quantile Approximation with Worst-Case Guarantees N Schiefer, JY Chen, P Indyk, S Narayanan, S Silwal, T Wagner SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23), 87-97, 2023 | | 2023 |