| Colight: Learning network-level cooperation for traffic signal control H Wei, N Xu, H Zhang, G Zheng, X Zang, C Chen, W Zhang, Y Zhu, K Xu, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 267 | 2019 |
| Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control C Chen, H Wei, N Xu, G Zheng, M Yang, Y Xiong, K Xu, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3414-3421, 2020 | 243 | 2020 |
| Metalight: Value-based meta-reinforcement learning for traffic signal control X Zang, H Yao, G Zheng, N Xu, K Xu, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1153-1160, 2020 | 133 | 2020 |
| Diagnosing reinforcement learning for traffic signal control G Zheng, X Zang, N Xu, H Wei, Z Yu, V Gayah, K Xu, Z Li arXiv preprint arXiv:1905.04716, 2019 | 99 | 2019 |
| Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset C Meng, L Trinh, N Xu, J Enouen, Y Liu Scientific Reports 12 (1), 7166, 2022 | 72 | 2022 |
| Mimic-if: Interpretability and fairness evaluation of deep learning models on mimic-iv dataset C Meng, L Trinh, N Xu, Y Liu arXiv preprint arXiv:2102.06761, 2021 | 19 | 2021 |
| Targeted knowledge transfer for learning traffic signal plans N Xu, G Zheng, K Xu, Y Zhu, Z Li Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 16 | 2019 |
| A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids X Zheng, N Xu, L Trinh, D Wu, T Huang, S Sivaranjani, Y Liu, L Xie Scientific Data 9 (1), 359, 2022 | 10 | 2022 |
| Does your model classify entities reasonably? diagnosing and mitigating spurious correlations in entity typing N Xu, F Wang, B Li, M Dong, M Chen arXiv preprint arXiv:2205.12640, 2022 | 8 | 2022 |
| Autodan: Generating stealthy jailbreak prompts on aligned large language models X Liu, N Xu, M Chen, C Xiao arXiv preprint arXiv:2310.04451, 2023 | 6 | 2023 |
| Density-aware differentially private textual perturbations using truncated Gumbel noise N Xu, O Feyisetan, A Aggarwal, Z Xu, N Teissier The International FLAIRS Conference Proceedings 34, 2021 | 6 | 2021 |
| Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control HW Chacha Chen, N Xu, G Zheng, M Yang, Y Xiong, K Xu, Z Li Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence …, 2020 | 5 | 2020 |
| Differentially private adversarial robustness through randomized perturbations N Xu, O Feyisetan, A Aggarwal, Z Xu, N Teissier arXiv preprint arXiv:2009.12718, 2020 | 4 | 2020 |
| Attention-based hierarchical recurrent neural network for phenotype classification N Xu, Y Shen, Y Zhu Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 4 | 2019 |
| A multi-task learning framework for automatic early detection of Alzheimer’s N Xu, Y Shen, Y Zhu Database Systems for Advanced Applications: DASFAA 2019 International …, 2019 | 1 | 2019 |
| Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking N Xu, F Wang, B Zhou, BZ Li, C Xiao, M Chen arXiv preprint arXiv:2311.09827, 2023 | | 2023 |
| Look-back Decoding for Open-Ended Text Generation N Xu, C Zhou, A Celikyilmaz, X Ma arXiv preprint arXiv:2305.13477, 2023 | | 2023 |
| CEO: Corpus-based Open-Domain Event Ontology Induction N Xu, H Zhang, J Chen arXiv preprint arXiv:2305.13521, 2023 | | 2023 |
| An Examination of Preference-based Reinforcement Learning for Treatment Recommendation N Xu, N Kamra, Y Liu Deep Reinforcement Learning Workshop at NeurIPS 2020, 2020 | | 2020 |
