Ke Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Exact And Approximate

Computing Paradigms

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

IEEE Trans. Computers

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Bi Wu, Tianyang Yu, Ke Chen, Weiqiang Liu
Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (3) (2024)
Tianyang Yu, Bi Wu, Ke Chen, Gong Zhang, Weiqiang Liu
Fully Learnable Hyperdimensional Computing Framework With Ultratiny Accelerator for Edge-Side Applications. IEEE Trans. Computers 73 (2) (2024)
Haonan Zhu, Bi Wu, Tianyang Yu, Ke Chen, Chenggang Yan, Weiqiang Liu
A Potential Enabler for High-Performance In-Memory Multi-Bit Arithmetic Schemes With Unipolar Switching SOT-MRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (7) (2024)
Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Yu Gong, Weiqiang Liu
A Time Efficient Comprehensive Model of Approximate Multipliers for Design Space Exploration. ARITH (2024)
Bin Gong, Ke Chen, Pengfei Huang, Bi Wu, Weiqiang Liu
Most Significant One-Driven Shifting Dynamic Efficient Multipliers for Large Language Models. ISCAS (2024)
Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu
Toward Efficient Retraining: A Large-Scale Approximate Neural Network Framework With Cross-Layer Optimization. IEEE Trans. Very Large Scale Integr. Syst. 32 (6) (2024)
Wenzhuo Xie, Chenggang Yan, Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu
A High Accuracy and Hardware Efficient Adaptive Filter Design with Approximate Computing. MWSCAS (2023)
Ke Chen, Chenyu Xu, Haroon Waris, Weiqiang Liu, Paolo Montuschi, Fabrizio Lombardi
Exact and Approximate Squarers for Error-Tolerant Applications. IEEE Trans. Computers 72 (7) (2023)
Shuo Ran, Bi Wu, Ke Chen, Weiqiang Liu
VLCP: A High-Performance FPGA-based CNN Accelerator with Vector-level Cluster Pruning. NANOARCH (2023)
Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu
An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Haonan Wang, Ke Chen, Chenggang Yan, Bi Wu, Weiqiang Liu
Hardware-Efficient Accurate and Approximate FPGA Multipliers for Error-Tolerant Applications. MWSCAS (2023)
Ke Chen, Yue Gao, Haroon Waris, Weiqiang Liu, Fabrizio Lombardi
Approximate Softmax Functions for Energy-Efficient Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 31 (1) (2023)
Chenggang Yan, Yuxuan Cui, Ke Chen, Bi Wu, Weiqiang Liu
Hardware Efficient Successive-Cancellation Polar Decoders Using Approximate Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Bi Wu, Haonan Zhu, Ke Chen, Chenggang Yan, Weiqiang Liu
MLiM: High-Performance Magnetic Logic in-Memory Scheme With Unipolar Switching SOT-MRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Bi Wu, Zhengkuan Wang, Ke Chen, Chenggang Yan, Weiqiang Liu
GBC: An Energy-Efficient LSTM Accelerator With Gating Units Level Balanced Compression Strategy. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (9) (2022)
Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan, Weiqiang Liu
Data Stream Oriented Fine-grained Sparse CNN Accelerator with Efficient Unstructured Pruning Strategy. ACM Great Lakes Symposium on VLSI (2022)
Shanshan Liu, Bi Wu, Ke Chen, Weiqiang Liu, Máire O'Neill, Fabrizio Lombardi
Editorial Special Issue on Circuits and Systems for Emerging Computing Paradigms. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (7) (2022)
Ke Chen, Peipei Yin, Weiqiang Liu, Fabrizio Lombardi
A survey of approximate arithmetic circuits and blocks. it Inf. Technol. 64 (3) (2022)
Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Weiqiang Liu
An Energy-efficient and High-precision Approximate MAC with Distributed Arithmetic Circuits. ACM Great Lakes Symposium on VLSI (2022)
Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi
HEADiv: A High-accuracy Energy-efficient Approximate Divider with Error Compensation. NANOARCH (2022)
Pengfei Huang, Chenghua Wang, Ke Chen, Weiqiang Liu
PAxC: A Probabilistic-oriented Approximate Computing Methodology for ANNs. DATE (2022)
Shanshan Liu, Ke Chen, Pedro Reviriego, Weiqiang Liu, Ahmed Louri, Fabrizio Lombardi
Reduced Precision Redundancy for Reliable Processing of Data. IEEE Trans. Emerg. Top. Comput. 9 (4) (2021)
Jinhe Du, Ke Chen, Peipei Yin, Chenggang Yan, Weiqiang Liu
Design of An Approximate FFT Processor Based on Approximate Complex Multipliers. ISVLSI (2021)
Ke Chen, Weiqiang Liu, Jie Han, Fabrizio Lombardi
Profile-Based Output Error Compensation for Approximate Arithmetic Circuits. IEEE Trans. Circuits Syst. (12) (2020)
Ke Chen, Linbin Chen, Pedro Reviriego, Fabrizio Lombardi
Efficient Implementations of Reduced Precision Redundancy (RPR) Multiply and Accumulate (MAC). IEEE Trans. Computers 68 (5) (2019)
Ke Chen, Jie Han, Paolo Montuschi, Weiqiang Liu, Fabrizio Lombardi
Design and Application of an Approximate 2-D Convolver with Error Compensation. ISCAS (2018)
Ke Chen, Fabrizio Lombardi, Jie Han
Partially universal modules for high performance logic circuit design. MWSCAS (2017)
Ke Chen, Jie Han, Fabrizio Lombardi
Two Approximate Voting Schemes for Reliable Computing. IEEE Trans. Computers 66 (7) (2017)
Ke Chen, Fabrizio Lombardi, Jie Han
Design and analysis of an approximate 2D convolver. DFT (2016)
Ke Chen, Jie Han, Fabrizio Lombardi
On the Restore Operation in MTJ-Based Nonvolatile SRAM Cells. IEEE Trans. Very Large Scale Integr. Syst. 23 (11) (2015)
Ke Chen, Jie Han, Fabrizio Lombardi
On the Nonvolatile Performance of Flip-Flop/SRAM Cells With a Single MTJ. IEEE Trans. Very Large Scale Integr. Syst. 23 (6) (2015)
Ke Chen, Fabrizio Lombardi, Jie Han
Matrix multiplication by an inexact systolic array. NANOARCH (2015)
Ke Chen, Fabrizio Lombardi, Jie Han
An approximate voting scheme for reliable computing. DATE (2015)