Chejian Xu
Orcid: 0009-0009-7598-639X
According to our database1,
Chejian Xu
authored at least 21 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
CoRR, June, 2025
CoRR, April, 2025
CoRR, March, 2025
CoRR, January, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
CoRR, 2024
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.
IEEE Trans. Intell. Transp. Syst., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021