| NetBouncer: Active Device and Link Failure Localization in Data Center Networks C Tan, Z Jin, C Guo, T Zhang, H Wu, K Deng, D Bi, D Xiang 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2019 | 118 | 2019 |
| Generalizing distance covariance to measure and test multivariate mutual dependence via complete and incomplete V-statistics Z Jin, DS Matteson Journal of Multivariate Analysis 168, 304-322, 2018 | 38* | 2018 |
| The analysis of the regression-discontinuity design in R F Thoemmes, W Liao, Z Jin Journal of Educational and Behavioral Statistics 42 (3), 341-360, 2017 | 36 | 2017 |
| EDMeasure: Energy-Based Dependence Measures Z Jin, S Yao, DS Matteson, X Shao R package version 1.2, 2018 | 8* | 2018 |
| Optimization and Testing in Linear Non-Gaussian Component Analysis Z Jin, BB Risk, DS Matteson Statistical Analysis and Data Mining 12 (3), 141-156, 2019 | 7 | 2019 |
| Independent Component Analysis Based on Mutual Dependence Measures Z Jin, DS Matteson, T Zhang 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 6* | 2019 |
| Approximate Quantiles for Datacenter Telemetry Monitoring G Lim, M Hassan, Z Jin, S Volos, M Jeon 36th IEEE International Conference on Data Engineering (ICDE 2020), 2020 | 5 | 2020 |
| Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence Z Jin, X Yan, DS Matteson 34th Conference on Uncertainty in Artificial Intelligence (UAI 2018), 2-12, 2018 | 4 | 2018 |
| rddapp: Regression Discontinuity Design Application Z Jin, W Liao, I Papst, W Zhang, F Thoemmes R package version 1.1, 2018 | 3 | 2018 |
| The difference-of-datasets framework: A statistical method to discover insight P Raff, Z Jin 2016 IEEE International Conference on Big Data (Big Data), 1824-1831, 2016 | 2 | 2016 |
| FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation T Kim, CH Park, M Mukimbekov, H Hong, M Kim, Z Jin, C Kim, JY Shin, ... Proceedings of the VLDB Endowment 17 (4), 863-876, 2023 | 1 | 2023 |
| FusionFlow: Accelerating Data Preparation for Machine Learning with Hybrid CPU-GPU Processing T Kim, C Park, M Mukimbekov, H Hong, M Kim, Z Jin, C Kim, JY Shin, ... Proc. VLDB Endow., 2023 | | 2023 |
| Measuring Statistical Dependence and Its Applications in Machine Learning Z Jin Cornell University, 2018 | | 2018 |
| Initial Seeds Selection in Dynamic Clustering Method Based on Data Depth C Zhang, Z Jin Intelligence Science and Big Data Engineering. Big Data and Machine Learning …, 2015 | | 2015 |
David S. MattesonProfessor, Statistics & Data Science, Cornell University在 cornell.edu 的电子邮件经过验证
