Network adiabatic theorem: an efficient randomized protocol for contention resolution S Rajagopalan, D Shah, J Shin ACM SIGMETRICS performance evaluation review 37 (1), 133-144, 2009 | 255 | 2009 |

Distributed random access algorithm: scheduling and congestion control L Jiang, D Shah, J Shin, J Walrand IEEE Transactions on Information Theory 56 (12), 6182-6207, 2010 | 123 | 2010 |

Randomized scheduling algorithm for queueing networks D Shah, J Shin The Annals of Applied Probability 22 (1), 128-171, 2012 | 99 | 2012 |

Randomized scheduling algorithm for queueing networks D Shah, J Shin The Annals of Applied Probability 22 (1), 128-171, 2012 | 99 | 2012 |

Training confidence-calibrated classifiers for detecting out-of-distribution samples K Lee, H Lee, K Lee, J Shin arXiv preprint arXiv:1711.09325, 2017 | 75 | 2017 |

Dynamics in congestion games D Shah, J Shin ACM SIGMETRICS Performance Evaluation Review 38 (1), 107-118, 2010 | 62 | 2010 |

Delay optimal queue-based CSMA D Shah, J Shin ACM SIGMETRICS Performance Evaluation Review 38 (1), 373-374, 2010 | 53 | 2010 |

Large-scale log-determinant computation through stochastic Chebyshev expansions I Han, D Malioutov, J Shin International Conference on Machine Learning, 908-917, 2015 | 48 | 2015 |

Medium access using queues D Shah, J Shin, P Tetali Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on …, 2011 | 45* | 2011 |

Medium access using queues D Shah, J Shin, P Tetali Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on …, 2011 | 40 | 2011 |

Improved mixing condition on the grid for counting and sampling independent sets R Restrepo, J Shin, P Tetali, E Vigoda, L Yang Probability Theory and Related Fields 156 (1-2), 75-99, 2013 | 39 | 2013 |

Optimal CSMA: a survey SY Yun, Y Yi, J Shin 2012 IEEE international conference on communication systems (ICCS), 199-204, 2012 | 37 | 2012 |

DRAM scheduling policy for GPGPU architectures based on a potential function NB Lakshminarayana, J Lee, H Kim, J Shin IEEE Computer Architecture Letters 11 (2), 33-36, 2011 | 36 | 2011 |

A simple unified framework for detecting out-of-distribution samples and adversarial attacks K Lee, K Lee, H Lee, J Shin Advances in Neural Information Processing Systems, 7167-7177, 2018 | 35 | 2018 |

Distributed averaging via lifted Markov chains K Jung, D Shah, J Shin IEEE Transactions on Information Theory 56 (1), 634-647, 2010 | 33 | 2010 |

Distributed averaging via lifted Markov chains K Jung, D Shah, J Shin IEEE Transactions on Information Theory 56 (1), 634-647, 2010 | 33 | 2010 |

Approximating spectral sums of large-scale matrices using stochastic Chebyshev approximations I Han, D Malioutov, H Avron, J Shin SIAM Journal on Scientific Computing 39 (4), A1558-A1585, 2017 | 32 | 2017 |

Approximating spectral sums of large-scale matrices using stochastic Chebyshev approximations I Han, D Malioutov, H Avron, J Shin SIAM Journal on Scientific Computing 39 (4), A1558-A1585, 2017 | 32 | 2017 |

Optimality of belief propagation for crowdsourced classification J Ok, S Oh, J Shin, Y Yi International Conference on Machine Learning, 535-544, 2016 | 27 | 2016 |

Counting independent sets using the Bethe approximation V Chandrasekaran, M Chertkov, D Gamarnik, D Shah, J Shin SIAM Journal on Discrete Mathematics 25 (2), 1012-1034, 2011 | 26 | 2011 |