Joint reasoning for temporal and causal relations Q Ning, Z Feng, H Wu, D Roth arXiv preprint arXiv:1906.04941, 2019 | 172 | 2019 |

A structured learning approach to temporal relation extraction Q Ning, Z Feng, D Roth arXiv preprint arXiv:1906.04943, 2019 | 123 | 2019 |

CogCompTime: A tool for understanding time in natural language Q Ning, B Zhou, Z Feng, H Peng, D Roth Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 69 | 2018 |

Tofu: A task of fictitious unlearning for llms P Maini, Z Feng, A Schwarzschild, ZC Lipton, JZ Kolter arXiv preprint arXiv:2401.06121, 2024 | 44* | 2024 |

Does data augmentation lead to positive margin? S Rajput, Z Feng, Z Charles, PL Loh, D Papailiopoulos International Conference on Machine Learning, 5321-5330, 2019 | 43 | 2019 |

Learning-Augmented -means Clustering JC Ergun, Z Feng, S Silwal, DP Woodruff, S Zhou arXiv preprint arXiv:2110.14094, 2021 | 34 | 2021 |

Cogcompnlp: Your swiss army knife for nlp D Khashabi, M Sammons, B Zhou, T Redman, C Christodoulopoulos, ... Proceedings of the eleventh international conference on Language Resources …, 2018 | 21 | 2018 |

Dimensionality reduction for the sum-of-distances metric Z Feng, P Kacham, D Woodruff International conference on machine learning, 3220-3229, 2021 | 16 | 2021 |

Text descriptions are compressive and invariant representations for visual learning Z Feng, A Bair, JZ Kolter Transactions on Machine Learning Research, 2023 | 11* | 2023 |

Strong coresets for subspace approximation and k-median in nearly linear time Z Feng, P Kacham, DP Woodruff CoRR, abs/1912.12003 19, 2019 | 9 | 2019 |

Online learning with graph-structured feedback against adaptive adversaries Z Feng, PL Loh 2018 IEEE International Symposium on Information Theory (ISIT), 931-935, 2018 | 8 | 2018 |

Rethinking llm memorization through the lens of adversarial compression A Schwarzschild, Z Feng, P Maini, ZC Lipton, JZ Kolter arXiv preprint arXiv:2404.15146, 2024 | 4 | 2024 |

Provable adaptation across multiway domains via representation learning Z Feng, S Han, SS Du arXiv preprint arXiv:2106.06657, 2021 | 4 | 2021 |

On the Neural Tangent Kernel of Equilibrium Models Z Feng, JZ Kolter arXiv preprint arXiv:2310.14062, 2023 | 2 | 2023 |

Monotone deep Boltzmann machines Z Feng, E Winston, JZ Kolter arXiv preprint arXiv:2307.04990, 2023 | 2 | 2023 |

Non-PSD matrix sketching with applications to regression and optimization Z Feng, F Roosta, DP Woodruff Uncertainty in Artificial Intelligence, 1841-1851, 2021 | 2 | 2021 |

RankCLIP: Ranking-Consistent Language-Image Pretraining Y Zhang, Z Zhao, Z Chen, Z Feng, Z Ding, Y Sun arXiv preprint arXiv:2404.09387, 2024 | 1 | 2024 |

Monotone mean-field inference in deep markov random fields Z Feng, E Winston, J Kolter, DT Willmott, JD Semedo US Patent App. 17/487,322, 2023 | 1 | 2023 |

An Axiomatic Approach to Model-Agnostic Concept Explanations Z Feng, M Moshkovitz, D Di Castro, JZ Kolter arXiv preprint arXiv:2401.06890, 2024 | | 2024 |

An Axiomatic Approach to Model-Agnostic Concept Explanations M Moshkovitz, Z Feng, D Di Castro, JZ Kolter | | |