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Ziyuan Zhong
Ziyuan Zhong
Columbia University
Geverifieerd e-mailadres voor columbia.edu
Titel
Geciteerd door
Geciteerd door
Jaar
Metric learning for adversarial robustness
C Mao, Z Zhong, J Yang, C Vondrick, B Ray
Advances in Neural Information Processing Systems 32, 2019
2472019
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
1442023
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
1052017
Noise-tolerant fair classification
AL Lamy, Z Zhong, AK Menon, N Verma
Advances in Neural Information Processing Systems 32, 2019
942019
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
862022
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
792021
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
682023
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
61*2020
A tutorial on fairness in machine learning
Z Zhong
Towards data science 22, 2018
442018
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
36*2022
Understanding local robustness of deep neural networks under natural variations
Z Zhong, Y Tian, B Ray
Fundamental Approaches to Software Engineering: 24th International …, 2021
242021
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
92022
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
22023
PhasePack User Guide
R Chandra, Z Zhong, J Hontz, V McCulloch, C Studer, T Goldstein
arXiv preprint arXiv:1711.09777, 2017
22017
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
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Artikelen 1–16