| A comprehensive survey on imputation of missing data in internet of things D Adhikari, W Jiang, J Zhan, Z He, DB Rawat, U Aickelin, HA Khorshidi ACM Computing Surveys 55 (7), 1-38, 2022 | 82 | 2022 |
| Optimized co-scheduling of mixed-precision neural network accelerator for real-time multitasking applications W Jiang, Z Song, J Zhan, Z He, X Wen, K Jiang Journal of Systems Architecture 110, 101775, 2020 | 46 | 2020 |
| Attack-aware detection and defense to resist adversarial examples W Jiang, Z He, J Zhan, W Pan IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 26 | 2020 |
| Research progress and challenges on application-driven adversarial examples: A survey W Jiang, Z He, J Zhan, W Pan, D Adhikari ACM Transactions on Cyber-Physical Systems (TCPS) 5 (4), 1-25, 2021 | 21 | 2021 |
| A low-cost image encryption method to prevent model stealing of deep neural network W Jiang, Z Gong, J Zhan, Z He, W Pan Journal of Circuits, Systems and Computers 29 (16), 2050252, 2020 | 11 | 2020 |
| Rigid: A training-free and model-agnostic framework for robust ai-generated image detection Z He, PY Chen, TY Ho arXiv preprint arXiv:2405.20112, 2024 | 10 | 2024 |
| Be your own neighborhood: Detecting adversarial example by the neighborhood relations built on self-supervised learning Z He, Y Yang, PY Chen, Q Xu, TY Ho arXiv preprint arXiv:2209.00005, 2022 | 7 | 2022 |
| Interpretability derived backdoor attacks detection in deep neural networks: Work-in-progress X Wen, W Jiang, J Zhan, X Wang, Z He 2020 International Conference on Embedded Software (EMSOFT), 13-14, 2020 | 1 | 2020 |
| Heatmap-Aware Low-Cost Design to Resist Adversarial Attacks: Work-in-Progress Z He, W Jiang, J Zhan, X Wang, X Wen 2020 International Conference on Hardware/Software Codesign and System …, 2020 | | 2020 |
Tsung-Yi HoChinese University of Hong KongE-mailová adresa ověřena na: cse.cuhk.edu.hk