Chang Gao

According to our database, Chang Gao authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators.

Siyue Li, Shize Zhou, Yongqi Xue, Wenjie Fan, Tong Cheng, Jinlun Ji, Chenyang Dai, Wenqing Song, Qinyu Chen, Chang Gao, Li Li, Yuxiang Fu

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity.

Chang Gao, Tobi Delbruck, Shih-Chii Liu

IEEE Trans. Neural Networks Learn. Syst., January, 2024

DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm² Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion.

Ang Li, Haolin Wu, Yizhuo Wu, Qinyu Chen, Leo C. N. de Vreede, Chang Gao

CoRR, 2024

CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning.

Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao

CoRR, 2024

Hardware Neural Control of CartPole and F1TENTH Race Car.

Marcin Paluch, Florian Bolli, Xiang Deng, Antonio Rios-Navarro, Chang Gao, Tobi Delbruck

CoRR, 2024

A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM.

Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbrück, Shih-Chii Liu

CoRR, 2024

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers.

Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao

CoRR, 2024

OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion.

Yizhuo Wu, Gagan Deep Singh, Mohammadreza Beikmirza, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer.

Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Event-Based Eye Tracking. AIS 2024 Challenge Survey.

Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training.

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration.

Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting.

Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network.

Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation.

Qinyu Chen, Congyi Sun, Chang Gao, Xinyuan Fang, Haitao Luan

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Cerebron: A Reconfigurable Architecture for Spatiotemporal Sparse Spiking Neural Networks.

Qinyu Chen, Chang Gao, Yuxiang Fu

IEEE Trans. Very Large Scale Integr. Syst., 2022

Spiking Cochlea With System-Level Local Automatic Gain Control.

Ilya Kiselev, Chang Gao, Shih-Chii Liu

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance.

Qinyu Chen, Chang Gao, Xinyuan Fang, Haitao Luan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction.

Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu

IEEE J. Solid State Circuits, 2022

A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction.

Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference.

Johanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks.

Qinyu Chen, Congyi Sun, Zhonghai Lu, Chang Gao

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

EILE: Efficient Incremental Learning on the Edge.

Xi Chen, Chang Gao, Tobi Delbrück, Shih-Chii Liu

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference.

Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator.

Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück

CoRR, 2020

Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator.

Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference.

Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbrück, Shih-Chii Liu

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator.

Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator.

Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator.

Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbrück

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017

On-chip ID generation for multi-node implantable devices using SA-PUF.

Chang Gao, Sara S. Ghoreishizadeh, Yan Liu, Timothy G. Constandinou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017