Deep learning of feature representation with multiple instance learning for medical image analysis Y Xu, T Mo, Q Feng, P Zhong, M Lai, I Eric, C Chang 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 477 | 2014 |

Low rank approximation with entrywise l_{1}-norm errorZ Song, DP Woodruff, P Zhong Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017 | 150 | 2017 |

Optimal principal component analysis in distributed and streaming models C Boutsidis, DP Woodruff, P Zhong Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016 | 145 | 2016 |

Relative error tensor low rank approximation Z Song, DP Woodruff, P Zhong Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019 | 128 | 2019 |

Enhancing adversarial defense by k-winners-take-all C Xiao, P Zhong, C Zheng arXiv preprint arXiv:1905.10510, 2019 | 120 | 2019 |

Parallel graph connectivity in log diameter rounds A Andoni, Z Song, C Stein, Z Wang, P Zhong 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018 | 118 | 2018 |

Bourgan: Generative networks with metric embeddings C Xiao, P Zhong, C Zheng Advances in neural information processing systems 31, 2018 | 75 | 2018 |

Parallel approximate undirected shortest paths via low hop emulators A Andoni, C Stein, P Zhong Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020 | 69 | 2020 |

Subspace embedding and linear regression with orlicz norm A Andoni, C Lin, Y Sheng, P Zhong, R Zhong International Conference on Machine Learning, 224-233, 2018 | 38 | 2018 |

Towards a zero-one law for column subset selection Z Song, D Woodruff, P Zhong Advances in Neural Information Processing Systems 32, 2019 | 37 | 2019 |

Distributed low rank approximation of implicit functions of a matrix DP Woodruff, P Zhong 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 847-858, 2016 | 34 | 2016 |

Log Diameter Rounds Algorithms for -Vertex and -Edge Connectivity A Andoni, C Stein, P Zhong arXiv preprint arXiv:1905.00850, 2019 | 27 | 2019 |

Efficient symmetric norm regression via linear sketching Z Song, R Wang, L Yang, H Zhang, P Zhong Advances in Neural Information Processing Systems 32, 2019 | 27 | 2019 |

Average Case Column Subset Selection for Entrywise -Norm Loss Z Song, D Woodruff, P Zhong Advances in Neural Information Processing Systems 32, 2019 | 26 | 2019 |

Polysketchformer: Fast transformers via sketches for polynomial kernels P Kacham, V Mirrokni, P Zhong arXiv preprint arXiv:2310.01655, 2023 | 24 | 2023 |

Differentially private continual releases of streaming frequency moment estimations A Epasto, J Mao, AM Medina, V Mirrokni, S Vassilvitskii, P Zhong arXiv preprint arXiv:2301.05605, 2023 | 23 | 2023 |

Rethinking generative mode coverage: A pointwise guaranteed approach P Zhong, Y Mo, C Xiao, P Chen, C Zheng Advances in Neural Information Processing Systems 32, 2019 | 22 | 2019 |

Planning with general objective functions: Going beyond total rewards R Wang, P Zhong, SS Du, RR Salakhutdinov, L Yang Advances in Neural Information Processing Systems 33, 14486-14497, 2020 | 21 | 2020 |

Differentially private graph learning via sensitivity-bounded personalized pagerank A Epasto, V Mirrokni, B Perozzi, A Tsitsulin, P Zhong Advances in Neural Information Processing Systems 35, 22617-22627, 2022 | 19 | 2022 |

Resisting adversarial attacks by k-winners-take-all C Xiao, P Zhong, C Zheng arXiv preprint arXiv:1905.10510 1 (2), 2019 | 18 | 2019 |