|Be your own teacher: Improve the performance of convolutional neural networks via self distillation|
L Zhang, J Song, A Gao, J Chen, C Bao, K Ma
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
|Architecture exploration for ambient energy harvesting nonvolatile processors|
K Ma, Y Zheng, S Li, K Swaminathan, X Li, Y Liu, J Sampson, Y Xie, ...
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
|Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile devices|
X Ma, FM Guo, W Niu, X Lin, J Tang, K Ma, B Ren, Y Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5117-5124, 2020
|Ambient energy harvesting nonvolatile processors: From circuit to system|
Y Liu, Z Li, H Li, Y Wang, X Li, K Ma, S Li, MF Chang, S John, Y Xie, J Shu, ...
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
|Adversarial robustness vs. model compression, or both?|
S Ye, K Xu, S Liu, H Cheng, JH Lambrechts, H Zhang, A Zhou, K Ma, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 111-120, 2019
|Nonvolatile memory design based on ferroelectric FETs|
S George, K Ma, A Aziz, X Li, A Khan, S Salahuddin, MF Chang, S Datta, ...
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
|Improve object detection with feature-based knowledge distillation: Towards accurate and efficient detectors|
L Zhang, K Ma
International Conference on Learning Representations, 2021
|Tunnel FET RF rectifier design for energy harvesting applications|
H Liu, X Li, R Vaddi, K Ma, S Datta, V Narayanan
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 4 (4 …, 2014
|Enabling energy-efficient nonvolatile computing with negative capacitance FET|
X Li, J Sampson, A Khan, K Ma, S George, A Aziz, SK Gupta, ...
IEEE Transactions on Electron Devices 64 (8), 3452-3458, 2017
|Nonvolatile processor architecture exploration for energy-harvesting applications|
K Ma, X Li, S Li, Y Liu, JJ Sampson, Y Xie, V Narayanan
IEEE Micro 35 (5), 32-40, 2015
|Scan: A scalable neural networks framework towards compact and efficient models|
L Zhang, Z Tan, J Song, J Chen, C Bao, K Ma
Advances in Neural Information Processing Systems 32, 2019
|Self-distillation: Towards efficient and compact neural networks|
L Zhang, C Bao, K Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4388-4403, 2021
|Advancing nonvolatile computing with nonvolatile NCFET latches and flip-flops|
X Li, S George, K Ma, WY Tsai, A Aziz, J Sampson, SK Gupta, MF Chang, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 64 (11), 2907-2919, 2017
|Incidental computing on IoT nonvolatile processors|
K Ma, X Li, J Li, Y Liu, Y Xie, J Sampson, MT Kandemir, V Narayanan
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
|Low power adiabatic logic based on FinFETs|
N Liao, XX Cui, K Liao, KS Ma, D Wu, W Wei, R Li, DS Yu
Science China information sciences 57, 1-13, 2014
|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
|RF-powered systems using steep-slope devices|
X Li, H Liu, UD Heo, K Ma, S Datta, V Narayanan
New Circuits and Systems Conference (NEWCAS), 73-76, 2014
|Design of nonvolatile SRAM with ferroelectric FETs for energy-efficient backup and restore|
X Li, K Ma, S George, WS Khwa, J Sampson, S Gupta, Y Liu, MF Chang, ...
IEEE Transactions on Electron Devices 64 (7), 3037-3040, 2017
|Nonvolatile processor architectures: Efficient, reliable progress with unstable power|
K Ma, X Li, K Swaminathan, Y Zheng, S Li, Y Liu, Y Xie, JJ Sampson, ...
IEEE Micro 36 (3), 72-83, 2016
|Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power|
K Ma, X Li, K Swaminathan, Y Zheng, S Li, Y Liu, J Sampson, Y Xie, ...
IEEE Micro 36 (3), 72-83, 2016