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Nan Xu
Nan Xu
Ph.D. Student of Computer Science, University of Southern California
在 usc.edu 的电子邮件经过验证 - 首页
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年份
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
3332019
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
3072020
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
1642020
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
1122019
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
1032022
Autodan: Generating stealthy jailbreak prompts on aligned large language models
X Liu, N Xu, M Chen, C Xiao
ICLR 2024, 2023
942023
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
212022
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
212021
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
162019
Cognitive overload: Jailbreaking large language models with overloaded logical thinking
N Xu, F Wang, B Zhou, BZ Li, C Xiao, M Chen
NAACL 2024 (Findings), 2023
142023
Evaluating Large Language Models on Controlled Generation Tasks
J Sun, Y Tian, W Zhou, N Xu, Q Hu, R Gupta, JF Wieting, N Peng, X Ma
EMNLP 2023, 2023
132023
Does your model classify entities reasonably? diagnosing and mitigating spurious correlations in entity typing
N Xu, F Wang, B Li, M Dong, M Chen
EMNLP 2022, 2022
122022
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
122021
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
52020
Look-back Decoding for Open-Ended Text Generation
N Xu, C Zhou, A Celikyilmaz, X Ma
EMNLP 2023, 2023
42023
Differentially private adversarial robustness through randomized perturbations
N Xu, O Feyisetan, A Aggarwal, Z Xu, N Teissier
arXiv preprint arXiv:2009.12718, 2020
42020
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
42019
Dense Retrieval as Indirect Supervision for Large-space Decision Making
N Xu, F Wang, M Dong, M Chen
EMNLP 2023 (Findings), 2023
22023
CEO: Corpus-based Open-Domain Event Ontology Induction
N Xu, H Zhang, J Chen
EACL 2024 (Findings), 2023
12023
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
12019
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