| Oceanstore: An architecture for global-scale persistent storage J Kubiatowicz, D Bindel, Y Chen, S Czerwinski, P Eaton, D Geels, ... ACM SIGOPS Operating Systems Review 34 (5), 190-201, 2000 | 3639 | 2000 |
| Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration J Gardner, G Pleiss, KQ Weinberger, D Bindel, AG Wilson Advances in neural information processing systems 31, 2018 | 1206 | 2018 |
| An algebraic approach to practical and scalable overlay network monitoring Y Chen, D Bindel, H Song, RH Katz Proceedings of the 2004 conference on Applications, technologies …, 2004 | 305 | 2004 |
| IEEE standard for floating-point arithmetic D Zuras, M Cowlishaw, A Aiken, M Applegate, D Bailey, S Bass, ... IEEE Std 754 (2008), 1-70, 2008 | 284 | 2008 |
| How bad is forming your own opinion? D Bindel, J Kleinberg, S Oren Games and Economic Behavior 92, 248-265, 2015 | 280 | 2015 |
| Elastic PMLs for resonator anchor loss simulation DS Bindel, S Govindjee International Journal for Numerical Methods in Engineering 64 (6), 789-818, 2005 | 215 | 2005 |
| Uncovering the small community structure in large networks: A local spectral approach Y Li, K He, D Bindel, JE Hopcroft Proceedings of the 24th international conference on world wide web, 658-668, 2015 | 153 | 2015 |
| On computing Givens rotations reliably and efficiently D Bindel, J Demmel, W Kahan, O Marques ACM Transactions on Mathematical Software (TOMS) 28 (2), 206-238, 2002 | 142 | 2002 |
| Towards unbiased end-to-end network diagnosis Y Zhao, Y Chen, D Bindel ACM SIGCOMM Computer Communication Review 36 (4), 219-230, 2006 | 127 | 2006 |
| Tomography-based overlay network monitoring Y Chen, D Bindel, RH Katz Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement, 216-231, 2003 | 114 | 2003 |
| Local spectral clustering for overlapping community detection Y Li, K He, K Kloster, D Bindel, J Hopcroft ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (2), 1-27, 2018 | 104 | 2018 |
| Scalable log determinants for Gaussian process kernel learning K Dong, D Eriksson, H Nickisch, D Bindel, AG Wilson Advances in Neural Information Processing Systems 30, 2017 | 100 | 2017 |
| Scaling Gaussian process regression with derivatives D Eriksson, K Dong, E Lee, D Bindel, AG Wilson Advances in neural information processing systems 31, 2018 | 98 | 2018 |
| Oceanstore: An extremely wide-area storage system D Bindel, Y Chen, P Eaton, D Geels, R Gummadi, S Rhea, ... Proceedings of the 9th International Conference on Architectural Support for …, 2000 | 95 | 2000 |
| Detecting overlapping communities from local spectral subspaces K He, Y Sun, D Bindel, J Hopcroft, Y Li 2015 IEEE international conference on data mining, 769-774, 2015 | 89 | 2015 |
| pySOT and POAP: An event-driven asynchronous framework for surrogate optimization D Eriksson, D Bindel, CA Shoemaker arXiv preprint arXiv:1908.00420, 2019 | 87 | 2019 |
| Fast iterative graph computation with block updates W Xie, G Wang, D Bindel, A Demers, J Gehrke Proceedings of the VLDB Endowment 6 (14), 2014-2025, 2013 | 79 | 2013 |
| New numerical techniques and tools in SUGAR for 3D MEMS simulation Z Bai, D Bindel, J Clark, J Demmel, KSJ Pister, N Zhou Proc. Fourth Technical International Conference on Modeling and Simulation …, 2001 | 78 | 2001 |
| Algebra-based scalable overlay network monitoring: algorithms, evaluation, and applications Y Chen, D Bindel, HH Song, RH Katz IEEE/ACM Transactions on Networking 15 (5), 1084-1097, 2007 | 71 | 2007 |
| Addressing the needs of complex MEMS design JV Clark, D Bindel, W Kao, E Zhu, A Kuo, N Zhou, J Nie, J Demmel, Z Bai, ... Technical Digest. MEMS 2002 IEEE International Conference. Fifteenth IEEE …, 2002 | 70 | 2002 |
Yan ChenNorthwestern University在 northwestern.edu 的电子邮件经过验证
