| Mest: Accurate and fast memory-economic sparse training framework on the edge G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ... Advances in Neural Information Processing Systems 34, 20838-20850, 2021 | 93 | 2021 |
| Fault sneaking attack: A stealthy framework for misleading deep neural networks P Zhao, S Wang, C Gongye, Y Wang, Y Fei, X Lin Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 88 | 2019 |
| E-RNN: Design optimization for efficient recurrent neural networks in FPGAs Z Li, C Ding, S Wang, W Wen, Y Zhuo, C Liu, Q Qiu, W Xu, X Lin, X Qian, ... 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 88 | 2019 |
| Defensive dropout for hardening deep neural networks under adversarial attacks S Wang, X Wang, P Zhao, W Wen, D Kaeli, P Chin, X Lin 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 88 | 2018 |
| Rtmobile: Beyond real-time mobile acceleration of rnns for speech recognition P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ... 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 64 | 2020 |
| Protecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses X Wang, S Wang, PY Chen, Y Wang, B Kulis, X Lin, P Chin arXiv preprint arXiv:1908.07116, 2019 | 58 | 2019 |
| Aircraft recognition based on landmark detection in remote sensing images A Zhao, K Fu, S Wang, J Zuo, Y Zhang, Y Hu, H Wang IEEE Geoscience and Remote Sensing Letters 14 (8), 1413-1417, 2017 | 51 | 2017 |
| Towards query-efficient black-box adversary with zeroth-order natural gradient descent P Zhao, PY Chen, S Wang, X Lin Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6909-6916, 2020 | 49 | 2020 |
| Defending dnn adversarial attacks with pruning and logits augmentation S Wang, X Wang, S Ye, P Zhao, X Lin 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 41* | 2018 |
| Block switching: a stochastic approach for deep learning security X Wang, S Wang, PY Chen, X Lin, P Chin arXiv preprint arXiv:2002.07920, 2020 | 31 | 2020 |
| Characteristic examples: High-robustness, low-transferability fingerprinting of neural networks S Wang, X Wang, PY Chen, P Zhao, X Lin International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2021 | 26 | 2021 |
| Robust destriping of MODIS and hyperspectral data using a hybrid unidirectional total variation model G Zhou, H Fang, C Lu, S Wang, Z Zuo, J Hu Optik 126 (7-8), 838-845, 2015 | 26 | 2015 |
| Autoattacker: A large language model guided system to implement automatic cyber-attacks J Xu, JW Stokes, G McDonald, X Bai, D Marshall, S Wang, ... arXiv preprint arXiv:2403.01038, 2024 | 23 | 2024 |
| Effective classification of local climate zones based on multi-source remote sensing data H Jing, Y Feng, W Zhang, Y Zhang, S Wang, K Fu, K Chen IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 15 | 2019 |
| Universal approximation property and equivalence of stochastic computing-based neural networks and binary neural networks Y Wang, Z Zhan, L Zhao, J Tang, S Wang, J Li, B Yuan, W Wen, X Lin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5369-5376, 2019 | 15 | 2019 |
| Intrinsic examples: Robust fingerprinting of deep neural networks S Wang, P Zhao, X Wang, S Chin, T Wahl, Y Fei, QA Chen, X Lin British Machine Vision Conference (BMVC), 2021 | 11 | 2021 |
| Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery T Wang, G Zhang, Y Jiang, S Wang, W Huang, L Li Photogrammetric Engineering & Remote Sensing 82 (4), 291-298, 2016 | 8 | 2016 |
| Fault-tolerant deep neural networks for processing-in-memory based autonomous edge systems S Wang, G Yuan, X Ma, Y Li, X Lin, B Kailkhura 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 424-429, 2022 | 5 | 2022 |
| Emshepherd: Detecting adversarial samples via side-channel leakage R Ding, C Gongye, S Wang, AA Ding, Y Fei Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023 | 4 | 2023 |
| Towards Robust and Secure Deep Learning Models and Beyond S Wang Northeastern University, 2022 | | 2022 |
Xue LinNortheastern UniversityVerified email at northeastern.edu