Coexpression analysis of human genes across many microarray data sets HK Lee, AK Hsu, J Sajdak, J Qin, P Pavlidis Genome research 14 (6), 1085-1094, 2004 | 863 | 2004 |

What can we learn privately? SP Kasiviswanathan, HK Lee, K Nissim, S Raskhodnikova, A Smith SIAM Journal on Computing 40 (3), 793-826, 2011 | 735 | 2011 |

ErmineJ: tool for functional analysis of gene expression data sets HK Lee, W Braynen, K Keshav, P Pavlidis BMC bioinformatics 6 (1), 1-8, 2005 | 307 | 2005 |

Testing for concise representations I Diakonikolas, HK Lee, K Matulef, K Onak, R Rubinfeld, RA Servedio, ... 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 549-558, 2007 | 107 | 2007 |

Cryptographic strength of SSL/TLS servers: Current and recent practices HK Lee, T Malkin, E Nahum Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, 83-92, 2007 | 86 | 2007 |

Bioinformatic analysis of autism positional candidate genes using biological databases and computational gene network prediction AL Yonan, AA Palmer, KC Smith, I Feldman, HK Lee, JM Yonan, ... Genes, Brain and Behavior 2 (5), 303-320, 2003 | 71 | 2003 |

Submodular functions are noise stable HKL Mahdi Cheraghchi, Adam Klivans, Pravesh Kothari Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012 | 49* | 2012 |

The dual receiver cryptosystem and its applications T Diament, HK Lee, AD Keromytis, M Yung Proceedings of the 11th ACM conference on Computer and communications …, 2004 | 47 | 2004 |

Mansour's Conjecture is True for Random DNF Formulas. AR Klivans, HK Lee, A Wan COLT, 368-380, 2010 | 28 | 2010 |

Efficiently testing sparse GF (2) polynomials I Diakonikolas, HK Lee, K Matulef, RA Servedio, A Wan International Colloquium on Automata, Languages, and Programming, 502-514, 2008 | 20 | 2008 |

Lower bounds and hardness amplification for learning shallow monotone formulas V Feldman, HK Lee, RA Servedio Proceedings of the 24th Annual Conference on Learning Theory, 273-292, 2011 | 17 | 2011 |

DDSketch: A fast and fully-mergeable quantile sketch with relative-error guarantees C Masson, JE Rim, HK Lee arXiv preprint arXiv:1908.10693, 2019 | 11 | 2019 |

Learning random monotone DNF JC Jackson, HK Lee, RA Servedio, A Wan Approximation, Randomization and Combinatorial Optimization. Algorithms and …, 2008 | 11 | 2008 |

Optimal cryptographic hardness of learning monotone functions D Dachman-Soled, HK Lee, T Malkin, RA Servedio, A Wan, H Wee International Colloquium on Automata, Languages, and Programming, 36-47, 2008 | 10 | 2008 |

Learning random monotone DNF JC Jackson, HK Lee, RA Servedio, A Wan Discrete Applied Mathematics 159 (5), 259-271, 2011 | 8 | 2011 |

Learning random monotone DNF JC Jackson, HK Lee, RA Servedio, A Wan Discrete Applied Mathematics 159 (5), 259-271, 2011 | 8 | 2011 |

Optimal cryptographic hardness of learning monotone functions D Dachman-Soled, HK Lee, T Malkin, RA Servedio, A Wan, H Wee | 8 | 2009 |

What can we learn privately S Raskhodnikova, A Smith, HK Lee, K Nissim, SP Kasiviswanathan Proceedings of the 54th Annual Symposium on Foundations of Computer Science …, 2008 | 8 | 2008 |

DNF are teachable in the average case HK Lee, RA Servedio, A Wan International Conference on Computational Learning Theory, 214-228, 2006 | 8 | 2006 |

DNF are teachable in the average case HK Lee, RA Servedio, A Wan Machine learning 69 (2-3), 79-96, 2007 | 7 | 2007 |