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Ke Chen
Ke Chen
Verified email at nuaa.edu.cn
Title
Cited by
Cited by
Year
Approximate softmax functions for energy-efficient deep neural networks
K Chen, Y Gao, H Waris, W Liu, F Lombardi
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 31 (1), 4-16, 2022
402022
Efficient implementations of reduced precision redundancy (RPR) multiply and accumulate (MAC)
K Chen, L Chen, P Reviriego, F Lombardi
IEEE Transactions on Computers 68 (5), 784-790, 2018
402018
Edge-side fine-grained sparse CNN accelerator with efficient dynamic pruning scheme
B Wu, T Yu, K Chen, W Liu
IEEE Transactions on Circuits and Systems I: Regular Papers 71 (3), 1285-1298, 2024
322024
MLiM: High-performance magnetic logic in-memory scheme with unipolar switching SOT-MRAM
B Wu, H Zhu, K Chen, C Yan, W Liu
IEEE Transactions on Circuits and Systems I: Regular Papers 70 (6), 2412-2424, 2023
282023
Two approximate voting schemes for reliable computing
K Chen, J Han, F Lombardi
IEEE Transactions on Computers 66 (7), 1227-1239, 2017
242017
Matrix multiplication by an inexact systolic array
K Chen, F Lombardi, J Han
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale …, 2015
242015
Fully learnable hyperdimensional computing framework with ultratiny accelerator for edge-side applications
T Yu, B Wu, K Chen, G Zhang, W Liu
IEEE Transactions on Computers 73 (2), 574-585, 2023
192023
Profile-based output error compensation for approximate arithmetic circuits
K Chen, W Liu, J Han, F Lombardi
IEEE Transactions on Circuits and Systems I: Regular Papers 67 (12), 4707-4718, 2020
192020
Design of an approximate FFT processor based on approximate complex multipliers
J Du, K Chen, P Yin, C Yan, W Liu
2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 308-313, 2021
182021
Reduced precision redundancy for reliable processing of data
S Liu, K Chen, P Reviriego, W Liu, A Louri, F Lombardi
IEEE Transactions on Emerging Topics in Computing 9 (4), 1960-1971, 2019
172019
An energy-efficient computing-in-memory (CiM) scheme using field-free spin-orbit torque (SOT) magnetic RAMs
B Wu, H Zhu, D Reis, Z Wang, Y Wang, K Chen, W Liu, F Lombardi, ...
IEEE Transactions on Emerging Topics in Computing 11 (2), 331-342, 2023
142023
GBC: An energy-efficient LSTM accelerator with gating units level balanced compression strategy
B Wu, Z Wang, K Chen, C Yan, W Liu
IEEE Transactions on Circuits and Systems I: Regular Papers 69 (9), 3655-3665, 2022
132022
Design and evaluation of two MTJ-based content addressable non-volatile memory cells
K Chen, J Han, F Lombardi
2013 13th IEEE International Conference on Nanotechnology (IEEE-NANO 2013 …, 2013
122013
Toward efficient retraining: A large-scale approximate neural network framework with cross-layer optimization
T Yu, B Wu, K Chen, C Yan, W Liu
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 32 (6 …, 2024
102024
On the nonvolatile performance of flip-flop/SRAM cells with a single MTJ
K Chen, J Han, F Lombardi
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (6 …, 2014
102014
On the restore operation in MTJ-based nonvolatile SRAM cells
K Chen, J Han, F Lombardi
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (11 …, 2014
92014
Exact and approximate squarers for error-tolerant applications
K Chen, C Xu, H Waris, W Liu, P Montuschi, F Lombardi
IEEE Transactions on Computers 72 (7), 2120-2126, 2022
82022
Data stream oriented fine-grained sparse CNN accelerator with efficient unstructured pruning strategy
T Yu, B Wu, K Chen, C Yan, W Liu
Proceedings of the Great Lakes Symposium on VLSI 2022, 243-248, 2022
82022
An approximate voting scheme for reliable computing
K Chen, F Lombardi, J Han
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 293-296, 2015
82015
Memristor-based approximate query architecture for in-memory hyperdimensional computing
T Yu, B Wu, K Chen, G Zhang, W Liu
IEEE Transactions on Computers, 2024
72024
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Articles 1–20