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Umeå universitet
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Huvudmenyn dold.

Siyu Luan

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073-866 18 90

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Anknytning
Anknuten som forskarstuderande till Institutionen för tillämpad fysik och elektronik
Plats
X, Håken Gullessons väg 20, Teknikhuset, TB421 Umeå universitet, 901 87 Umeå
Towards safe and efficient application of deep neural networks in resource-constrained real-time embedded systems
Umeå: Umeå University 2023
Luan, Siyu
Timing performance benchmarking of out-of-distribution detection algorithms
Journal of Signal Processing Systems
Luan, Siyu; Gu, Zonghua; Saremi, Amin; et al.
Efficient performance prediction of end-to-end autonomous driving under continuous distribution shifts based on anomaly detection
Journal of Signal Processing Systems
Luan, Siyu; Gu, Zonghua; Wan, Shaohua
LRP-based network pruning and policy distillation of robust and non-robust DRL agents for embedded systems
Concurrency and Computation, John Wiley & Sons 2023, Vol. 35, (19)
Luan, Siyu; Gu, Zonghua; Xu, Rui; et al.
LRP-based Policy Pruning and Distillation of Reinforcement Learning Agents for Embedded Systems
2022 IEEE 25th International Symposium on Real-Time Distributed Computing, ISORC 2022
Xu, Rui; Luan, Siyu; Gu, Zonghua; et al.
CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection
ACM Transactions on Embedded Computing Systems, Association for Computing Machinery (ACM) 2022, Vol. 21, (4)
Zhao, Qingling; Chen, Mingqiang; Gu, Zonghua; et al.
Out-of-Distribution Detection for Deep Neural Networks with Isolation Forest and Local Outlier Factor
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) 2021, Vol. 9 : 132980-132989
Luan, Siyu; Gu, Zonghua; Freidovich, Leonid B.; et al.
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