| Deeptest: Automated testing of deep-neural-network-driven autonomous cars Y Tian, K Pei, S Jana, B Ray Proceedings of the 40th international conference on software engineering …, 2018 | 1663 | 2018 |
| Code prediction by feeding trees to transformers S Kim, J Zhao, Y Tian, S Chandra 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 206 | 2021 |
| Automatically diagnosing and repairing error handling bugs in C Y Tian, B Ray Proceedings of the 2017 11th joint meeting on foundations of software …, 2017 | 94 | 2017 |
| Code prediction by feeding trees to transformers. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) S Kim, J Zhao, Y Tian, S Chandra IEEE, 2021 | 65 | 2021 |
| 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 | 54 | 2020 |
| Understanding local robustness of deep neural networks under natural variations Z Zhong, Y Tian, B Ray Fundamental Approaches to Software Engineering: 24th International …, 2021 | 22 | 2021 |
| Testing deep neural network based image classifiers Y Tian, Z Zhong, V Ordonez, B Ray CoRR, abs/1905.07831, 2019 | 8 | 2019 |
| Repairing confusion and bias errors for DNN-based image classifiers Y Tian Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 4 | 2020 |
| Detect and repair errors for DNN-based software Y Tian Columbia University, 2021 | 2 | 2021 |
| Bringing engineering rigor to Deep Learning K Pei, S Wang, Y Tian, J Whitehouse, C Vondrick, Y Cao, B Ray, S Jana, ... ACM SIGOPS Operating Systems Review 53 (1), 59-67, 2019 | 2 | 2019 |
| 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 |
Baishakhi RayAssociate Professor, Columbia UniversityDirección de correo verificada de cs.columbia.edu
