| Enforcing hard constraints with soft barriers: Safe reinforcement learning in unknown stochastic environments Y Wang, SS Zhan, R Jiao, Z Wang, W Jin, Z Yang, Z Wang, C Huang, ... International Conference on Machine Learning, 36593-36604, 2023 | 40 | 2023 |
| Safety-assured design and adaptation of learning-enabled autonomous systems Q Zhu, C Huang, R Jiao, S Lan, H Liang, X Liu, Y Wang, Z Wang, S Xu Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 32* | 2021 |
| Semi-supervised semantics-guided adversarial training for robust trajectory prediction R Jiao, X Liu, T Sato, QA Chen, Q Zhu International Conference on Computer Vision (ICCV 2023), 2023 | 28* | 2023 |
| Tae: A semi-supervised controllable behavior-aware trajectory generator and predictor R Jiao, X Liu, B Zheng, D Liang, Q Zhu 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 23 | 2022 |
| End-to-end uncertainty-based mitigation of adversarial attacks to automated lane centering R Jiao, H Liang, T Sato, J Shen, QA Chen, Q Zhu 2021 IEEE Intelligent Vehicles Symposium (IV), 266-273, 2021 | 19 | 2021 |
| Leveraging weakly-hard constraints for improving system fault tolerance with functional and timing guarantees H Liang, Z Wang, R Jiao, Q Zhu Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 19 | 2020 |
| Safety-driven interactive planning for neural network-based lane changing X Liu, R Jiao, B Zheng, D Liang, Q Zhu Proceedings of the 28th Asia and South Pacific design automation conference …, 2023 | 18 | 2023 |
| Learning Representation for Anomaly Detection of Vehicle Trajectories R Jiao, J Bai, X Liu, T Sato, X Yuan, QA Chen, Q Zhu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023 | 14 | 2023 |
| Empowering Autonomous Driving with Large Language Models: A Safety Perspective Y Wang, R Jiao, C Lang, SS Zhan, C Huang, Z Wang, Z Yang, Q Zhu ICLR 2024 LLM Agents Workshop; arXiv preprint arXiv:2312.00812, 2023 | 13 | 2023 |
| State-wise safe reinforcement learning with pixel observations S Zhan, Y Wang, Q Wu, R Jiao, C Huang, Q Zhu 6th Annual Learning for Dynamics & Control Conference, 1187-1201, 2024 | 10 | 2024 |
| Safety-Assured Speculative Planning with Adaptive Prediction X Liu, R Jiao, Y Wang, Y Han, B Zheng, Q Zhu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023 | 10 | 2023 |
| Efficient stuttering event detection using siamese networks P Mohapatra, B Islam, MT Islam, R Jiao, Q Zhu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Waving the double-edged sword: Building resilient cavs with edge and cloud computing X Liu, Y Luo, A Goeckner, T Chakraborty, R Jiao, N Wang, Y Wang, T Sato, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-4, 2023 | 7 | 2023 |
| A tool for neural network global robustness certification and training Z Wang, Y Wang, F Fu, R Jiao, C Huang, W Li, Q Zhu arXiv preprint arXiv:2208.07289, 2022 | 7 | 2022 |
| Wip: End-to-end analysis of adversarial attacks to automated lane centering systems H Liang, R Jiao, T Sato, J Shen, QA Chen, Q Zhu Workshop on Automotive and Autonomous Vehicle Security (AutoSec'21), 2021 | 7 | 2021 |
| Kinematics-aware trajectory generation and prediction with latent stochastic differential modeling R Jiao, Y Wang, X Liu, SS Zhan, C Huang, Q Zhu 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
| Connectivity enhanced safe neural network planner for lane changing in mixed traffic X Liu, R Jiao, B Zheng, D Liang, Q Zhu arXiv preprint arXiv:2302.02513, 2023 | 5 | 2023 |
| Neural network based interactive lane changing planner in dense traffic with safety guarantee X Liu, R Jiao, B Zheng, D Liang, Q Zhu arXiv preprint, 2022 | 4 | 2022 |
| Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles X Chen, J Fan, C Huang, R Jiao, W Li, X Liu, Y Wang, Z Wang, W Zhou, ... Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | 1 | 2023 |
| Exploring Backdoor Attacks against Large Language Model-based Decision Making R Jiao, S Xie, J Yue, T Sato, L Wang, Y Wang, QA Chen, Q Zhu arXiv preprint arXiv:2405.20774, 2024 | | 2024 |
Qi ZhuAssociate Professor of Computer EngineeringVerified email at northwestern.edu
