Metric learning for adversarial robustness C Mao, Z Zhong, J Yang, C Vondrick, B Ray Advances in Neural Information Processing Systems 32, 2019 | 216 | 2019 |
Phasepack: A phase retrieval library R Chandra, Z Zhong, J Hontz, V McCulloch, C Studer, T Goldstein 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1617-1621, 2017 | 98 | 2017 |
Noise-tolerant fair classification AL Lamy, Z Zhong, AK Menon, N Verma Advances in Neural Information Processing Systems 32, 2019 | 83 | 2019 |
Guided conditional diffusion for controllable traffic simulation Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone 2023 IEEE International Conference on Robotics and Automation (ICRA), 3560-3566, 2023 | 74* | 2023 |
Testing DNN image classifiers for confusion & bias errors Y Tian, Z Zhong, V Ordonez, G Kaiser, B Ray Proceedings of the acm/ieee 42nd international conference on software …, 2020 | 57* | 2020 |
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles Z Zhong, G Kaiser, B Ray IEEE Transactions on Software Engineering, 1-15, 2022 | 54 | 2022 |
A survey on scenario-based testing for automated driving systems in high-fidelity simulation Z Zhong, Y Tang, Y Zhou, VO Neves, Y Liu, B Ray arXiv preprint arXiv:2112.00964, 2021 | 52 | 2021 |
A tutorial on fairness in machine learning Z Zhong Towards data science 22, 2018 | 41 | 2018 |
Detecting multi-sensor fusion errors in advanced driver-assistance systems Z Zhong, Z Hu, S Guo, X Zhang, Z Zhong, B Ray proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 29* | 2022 |
Language-guided traffic simulation via scene-level diffusion Z Zhong, D Rempe, Y Chen, B Ivanovic, Y Cao, D Xu, M Pavone, B Ray Conference on Robot Learning, 144-177, 2023 | 20 | 2023 |
Understanding local robustness of deep neural networks under natural variations Z Zhong, Y Tian, B Ray Fundamental Approaches to Software Engineering: 24th International …, 2021 | 18 | 2021 |
Automatic map generation for autonomous driving system testing Y Tang, Y Zhou, K Yang, Z Zhong, B Ray, Y Liu, P Zhang, J Chen arXiv preprint arXiv:2206.09357, 2022 | 4 | 2022 |
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems MS Iqbal, Z Zhong, I Ahmad, B Ray, P Jamshidi Proceedings of the 2023 ACM Symposium on Cloud Computing, 555-571, 2023 | 1 | 2023 |
Simulation Based Testing for Autonomous Driving Systems Z Zhong Columbia University, 2024 | | 2024 |
Repairing Group-Level Errors for DNNs Using Weighted Regularization Z Zhong, Y Tian, CJ Sweeney, V Ordonez, B Ray arXiv preprint arXiv:2203.13612, 2022 | | 2022 |
PhasePack User Guide R Chandra, Z Zhong, J Hontz, V McCulloch, C Studer, T Goldstein arXiv preprint arXiv:1711.09777, 2017 | | 2017 |