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Chang Gao
Chang Gao
Assistant Professor, Delft University of Technology (TU Delft)
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator
C Gao, D Neil, E Ceolini, SC Liu, T Delbruck
FPGA 2018 (ACM/SIGDA International Symposium on Field-Programmable Gate …, 2018
1682018
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
C Gao, A Rios-Navarro, X Chen, SC Liu, T Delbruck
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020
482020
Real-time speech recognition for IoT purpose using a delta recurrent neural network accelerator
C Gao, S Braun, I Kiselev, J Anumula, T Delbruck, SC Liu
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
462019
Spartus: A 9.4 TOp/s FPGA-based LSTM accelerator exploiting spatio-temporal sparsity
C Gao, T Delbruck, SC Liu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
412022
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
C Gao, A Rios-Navarro, X Chen, T Delbruck, SC Liu
2020 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
252019
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction
K Kim*, C Gao*, R Graça, I Kiselev, HJ Yoo, T Delbruck, SC Liu
2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022
232022
A 23- W Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction
K Kim, C Gao, R Graça, I Kiselev, HJ Yoo, T Delbruck, SC Liu
IEEE Journal of Solid-State Circuits (JSSC), 2022
172022
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance
Q Chen*, C Gao*, X Fang, H Luan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
172022
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator
C Gao*, R Gehlhar*, AD Ames, SC Liu, T Delbruck
2020 IEEE International Conference on Robotics and Automation (ICRA), 5460-5466, 2020
162020
To spike or not to spike: A digital hardware perspective on deep learning acceleration
F Ottati, C Gao, Q Chen, G Brignone, MR Casu, JK Eshraghian, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
122023
Cerebron: A Reconfigurable Architecture for Spatiotemporal Sparse Spiking Neural Networks
Q Chen*, C Gao*, Y Fu
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (10 …, 2022
122022
Energy-efficient activity-driven computing architectures for edge intelligence
SC Liu, C Gao, K Kim, T Delbruck
2022 International Electron Devices Meeting (IEDM), 21.2. 1-21.2. 4, 2022
92022
Event-Based Eye Tracking. AIS 2024 Challenge Survey
Z Wang, C Gao, Z Wu, MV Conde, R Timofte, SC Liu, Q Chen, ZJ Zha, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
Q Chen, Z Wang, SC Liu, C Gao
2023 IEEE Biomedical Circuits and Systems (BIOCAS), 2023
82023
Spiking Cochlea with System-level Local Automatic Gain Control
I Kiselev, C Gao, SC Liu
IEEE Transactions on Circuits and Systems I - Regular Papers (TCAS-I), 2022
62022
EILE: Efficient Incremental Learning on the Edge
X Chen*, C Gao*, T Delbruck, SC Liu
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
62021
Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks
Q Chen, C Sun, Z Lu, C Gao
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022
42022
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator
C Gao, S Braun, I Kiselev, J Anumula, T Delbruck, SC Liu
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-1, 2019
42019
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference
JH Lindmar, C Gao, SC Liu
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022
32022
Energy-Efficient Recurrent Neural Network Accelerators for Real-Time Inference
C Gao
University of Zurich, 2022
22022
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