| Parametric noise injection: Trainable randomness to improve deep neural network robustness against adversarial attack Z He, AS Rakin, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 251 | 2019 |
| Spin-transfer torque devices for logic and memory: Prospects and perspectives X Fong, Y Kim, K Yogendra, D Fan, A Sengupta, A Raghunathan, K Roy IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015 | 218 | 2015 |
| Bit-flip attack: Crushing neural network with progressive bit search AS Rakin, Z He, D Fan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 180 | 2019 |
| Tbt: Targeted neural network attack with bit trojan AS Rakin, Z He, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 173 | 2020 |
| Noise injection adaption: End-to-end ReRAM crossbar non-ideal effect adaption for neural network mapping Z He, J Lin, R Ewetz, JS Yuan, D Fan Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 159 | 2019 |
| A semi-supervised two-stage approach to learning from noisy labels Y Ding, L Wang, D Fan, B Gong 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1215-1224, 2018 | 108 | 2018 |
| Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator S Angizi, Z He, AS Rakin, D Fan Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 104 | 2018 |
| {DeepHammer}: Depleting the intelligence of deep neural networks through targeted chain of bit flips F Yao, AS Rakin, D Fan 29th USENIX Security Symposium (USENIX Security 20), 1463-1480, 2020 | 96 | 2020 |
| MRIMA: An MRAM-based in-memory accelerator S Angizi, Z He, A Awad, D Fan IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019 | 83 | 2019 |
| Aligns: A processing-in-memory accelerator for dna short read alignment leveraging sot-mram S Angizi, J Sun, W Zhang, D Fan Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 76 | 2019 |
| Simultaneously optimizing weight and quantizer of ternary neural network using truncated gaussian approximation Z He, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 76 | 2019 |
| STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks D Fan, Y Shim, A Raghunathan, K Roy Nanotechnology, IEEE Transactions on, 1, 2015 | 74 | 2015 |
| IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network S Angizi, Z He, F Parveen, D Fan 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 111-116, 2018 | 72 | 2018 |
| Hierarchical temporal memory based on spin-neurons and resistive memory for energy-efficient brain-inspired computing D Fan, M Sharad, A Sengupta, K Roy IEEE transactions on neural networks and learning systems 27 (9), 1907-1919, 2015 | 72 | 2015 |
| Spin-neurons: A possible path to energy-efficient neuromorphic computers M Sharad, D Fan, K Roy Journal of Applied Physics 114 (23), 2013 | 72 | 2013 |
| Coupled spin torque nano oscillators for low power neural computation K Yogendra, D Fan, K Roy IEEE Transactions on Magnetics 51 (10), 1-9, 2015 | 71 | 2015 |
| PIMA-logic: A novel processing-in-memory architecture for highly flexible and energy-efficient logic computation S Angizi, Z He, D Fan Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 70 | 2018 |
| Non-structured DNN weight pruning—Is it beneficial in any platform? X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ... IEEE transactions on neural networks and learning systems 33 (9), 4930-4944, 2021 | 66 | 2021 |
| Defending and harnessing the bit-flip based adversarial weight attack Z He, AS Rakin, J Li, C Chakrabarti, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 66 | 2020 |
| Graphide: A graph processing accelerator leveraging in-dram-computing S Angizi, D Fan Proceedings of the 2019 on Great Lakes Symposium on VLSI, 45-50, 2019 | 65 | 2019 |
Zhezhi HeAssistant Professor, Shanghai Jiao Tong UniversityEmail verificata su sjtu.edu.cn
