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Yuguang Yao
Yuguang Yao
在 msu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Deeplora: Learning accurate path loss model for long distance links in lpwan
L Liu, Y Yao, Z Cao, M Zhang
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
462021
Understanding and improving visual prompting: A label-mapping perspective
A Chen, Y Yao, PY Chen, Y Zhang, S Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
432023
Advancing model pruning via bi-level optimization
Y Zhang, Y Yao, P Ram, P Zhao, T Chen, M Hong, Y Wang, S Liu
Advances in Neural Information Processing Systems 35, 18309-18326, 2022
342022
Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging
C Li, Z Liu, Y Yao, Z Cao, M Zhang, Y Liu
Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 436-448, 2020
272020
Rethinking Machine Unlearning for Large Language Models
S Liu, Y Yao, J Jia, S Casper, N Baracaldo, P Hase, X Xu, Y Yao, H Li, ...
arXiv preprint arXiv:2402.08787, 2024
252024
Visual prompting for adversarial robustness
A Chen, P Lorenz, Y Yao, PY Chen, S Liu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
242023
Model sparsification can simplify machine unlearning
J Jia, J Liu, P Ram, Y Yao, G Liu, Y Liu, P Sharma, S Liu
arXiv preprint arXiv:2304.04934, 2023
192023
How to robustify black-box ml models? a zeroth-order optimization perspective
Y Zhang, Y Yao, J Jia, J Yi, M Hong, S Chang, S Liu
arXiv preprint arXiv:2203.14195, 2022
192022
Reverse engineering of imperceptible adversarial image perturbations
Y Gong, Y Yao, Y Li, Y Zhang, X Liu, X Lin, S Liu
arXiv preprint arXiv:2203.14145, 2022
192022
Model sparsity can simplify machine unlearning
J Liu, P Ram, Y Yao, G Liu, Y Liu, P SHARMA, S Liu
Advances in Neural Information Processing Systems 36, 2024
162024
LoSee: Long-range shared bike communication system based on LoRaWAN protocol.
Y Yao, Z Ma, Z Cao
EWSN, 407-412, 2019
152019
Patronus: Preventing unauthorized speech recordings with support for selective unscrambling
L Li, M Liu, Y Yao, F Dang, Z Cao, Y Liu
Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 245-257, 2020
142020
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning
Y Zhang, P Khanduri, I Tsaknakis, Y Yao, M Hong, S Liu
IEEE Signal Processing Magazine 41 (1), 38-59, 2024
122024
CryoRL: reinforcement learning enables efficient cryo-EM data collection
Q Fan, Y Li, Y Yao, J Cohn, S Liu, Z Xu, S Vos, M Cianfrocco
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
72024
Learning to generate image source-agnostic universal adversarial perturbations
P Zhao, P Ram, S Lu, Y Yao, D Bouneffouf, X Lin, S Liu
arXiv preprint arXiv:2009.13714, 2020
62020
Towards understanding how self-training tolerates data backdoor poisoning
S Pal, R Wang, Y Yao, S Liu
arXiv preprint arXiv:2301.08751, 2023
52023
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
Y Zhang, Y Zhang, Y Yao, J Jia, J Liu, X Liu, S Liu
arXiv preprint arXiv:2402.11846, 2024
32024
SMUG: Towards robust MRI reconstruction by smoothed unrolling
H Li, J Jia, S Liang, Y Yao, S Ravishankar, S Liu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
When does backdoor attack succeed in image reconstruction? a study of heuristics vs. bi-level solution
V Taneja, PY Chen, Y Yao, S Liu
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
22022
Reverse Engineering of Deceptions on Machine-and Human-Centric Attacks
Y Yao, X Guo, V Asnani, Y Gong, J Liu, X Lin, X Liu, S Liu
Foundations and Trends® in Privacy and Security 6 (2), 53-152, 2024
12024
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