Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks.
ACM Trans. Embed. Comput. Syst., 2022
BitSystolic: A 26.7 TOPS/W 2b~8b NPU With Configurable Data Flows for Edge Devices.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.
ACM J. Emerg. Technol. Comput. Syst., 2021
Algorithm-hardware co-optimization for neural network efficiency improvement.
PhD thesis, 2020
Joint Pruning on Activations and Weights for Efficient Neural Networks.
CoRR, 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
A Quantized Training Method to Enhance Accuracy of ReRAM-based Neuromorphic Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array.
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Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
A memristor-based neuromorphic engine with a current sensing scheme for artificial neural network applications.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016
An on-chip security guard based on zero-power authentication for implantable medical devices.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014