A Reconfigurable Approximate Computing Architecture With Dual-VDD for Low-Power Binarized Weight Network Deployment.
IEEE Trans. Circuits Syst. II Express Briefs, 2023
An Efficient BCNN Deployment Method Using Quality-Aware Approximate Computing.
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IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
A Low Power DNN-based Speech Recognition Processor with Precision Recoverable Approximate Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
A Target-Separable BWN Inspired Speech Recognition Processor with Low-power Precision-adaptive Approximate Computing.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Mutual Error Compensation based Area and Power efficient Approximate Multiplier.
Proceedings of the 14th IEEE International Conference on ASIC, 2021
An Always-on Ultra-Low Power Speaker Verification Accelerator based on Binary Weighted Neural Network with System Co-optimization.
Proceedings of the 14th IEEE International Conference on ASIC, 2021