Chang Gao

61 papers A* 3A 2B 1C 10Journal 35Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
JaneEye: A 12-nm 2K-FPS 18.9-μJ/Frame Event-based Eye Tracking Accelerator.
ASP-DAC
Tao Han, Ang Li, Qinyu Chen, Chang Gao
2025 J jnl
AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition.
CoRR
Chen Bao, Chuanbing Huo, Qinyu Chen, Chang Gao
2025 J jnl
An 8.62-μW 75-dB DR
IEEE J. Solid State Circuits
Sheng Zhou, Zixiao Li, Longbiao Cheng, Jérôme Hadorn, Chang Gao, Qinyu Chen, Tobi Delbruck, Kwantae Kim, Shih-Chii Liu
2025 C conf
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning.
ISCAS
Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao
2025 C conf
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm
ISCAS
Ang Li, Haolin Wu, Yizhuo Wu, Qinyu Chen, Leo C. N. de Vreede, Chang Gao
2025 J jnl
DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion.
CoRR
Yizhuo Wu, Yi Zhu, Kun Qian, Qinyu Chen, Anding Zhu, John R. Gajadharsing, Leo C. N. de Vreede, Chang Gao
2025 J jnl
DeltaKWS: A 65nm 36nJ/Decision Bio-Inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC With 0.6V Near-Threshold SRAM.
IEEE Trans. Circuits Syst. Artif. Intell.
Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbruck, Shih-Chii Liu
2025 J jnl
DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference.
CoRR
Jiawen Qi, Chang Gao, Zhaochun Ren, Qinyu Chen
2025 J jnl
Event-Based Eye Tracking. 2025 Event-based Vision Workshop.
CoRR
Qinyu Chen, Chang Gao, Min Liu, Daniele Perrone, Yan Ru Pei, Zuowen Wang, Zhuo Zou, Shihang Tan, Tao Han, Guorui Lu, Zhen Xu, Junyuan Ding, Ziteng Wang, Zongwei Wu, Han Han, Yuliang Wu, Jinze Chen, Wei Zhai, Yang Cao, Zhengjun Zha, Nuwan Sriyantha Bandara, Thivya Kandappu, Archan Misra, Xiaopeng Lin, Hongxiang Huang, Hongwei Ren, Bojun Cheng, Hoang M. Truong, Vinh-Thuan Ly, Huy G. Tran, Thuan-Phat Nguyen, Tram T. Doan
2025 — conf
Event-based eye tracking. Even-based Vision Workshop 2025.
CVPR Workshops
Qinyu Chen, Chang Gao, Min Liu, Daniele Perrone, Yan Ru Pei, Zuowen Wang, Zhuo Zou, Shihang Tan, Tao Han, Guorui Lu, Zhen Xu, Junyuan Ding, Ziteng Wang, Zongwei Wu, Han Han, Yuliang Wu, Jinze Chen, Wei Zhai, Yang Cao, Zhengjun Zha, Nuwan Bandara, Thivya Kandappu, Archan Misra, Xiaopeng Lin, Hongxiang Huang, Hongwei Ren, Bojun Cheng, Hoang M. Truong, Vinh-Thuan Ly, Huy G. Tran, Thuan-Phat Nguyen, Tram T. Doan
2025 A* conf
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality.
ICRA
Junyuan Ding, Ziteng Wang, Chang Gao, Min Liu, Qinyu Chen
2025 A conf
FPGA Hardware Neural Control of CartPole and F1TENTH Race Car.
IROS
Marcin Paluch, Florian Bolli, Xiang Deng, Antonio Rios-Navarro, Chang Gao, Tobi Delbruck
2025 C conf
HengNet: An Ultra-lightweight Model with Two-level Reuse Algorithm for Seizure Detection and Prediction.
ISCAS
Heng Zhang, Linxiang Wang, Wenjie Fan, Zhenglin Gu, Youbin Luo, Xingjie Zou, Chang Gao, Qinyu Chen, Yuxiang Fu, Li Li
2025 J jnl
JaneEye: A 12-nm 2K-FPS 18.9-μJ/Frame Event-based Eye Tracking Accelerator.
CoRR
Tao Han, Ang Li, Qinyu Chen, Chang Gao
2025 C conf
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network.
ISCAS
Guorui Lu, Jing Peng, Bingyuan Huang, Chang Gao, Todor Stefanov, Yong Hao, Qinyu Chen
2025 B conf
SparseDPD: A Sparse Neural Network-Based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization.
FPL
Manno Versluis, Yizhuo Wu, Chang Gao
2025 J jnl
TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion.
CoRR
Huanqiang Duan, Manno Versluis, Qinyu Chen, Leo C. N. de Vreede, Chang Gao
2024 J jnl
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM.
CoRR
Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbruck, Shih-Chii Liu
2024 J jnl
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning.
CoRR
Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao
2024 J jnl
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm
CoRR
Ang Li, Haolin Wu, Yizhuo Wu, Qinyu Chen, Leo C. N. de Vreede, Chang Gao
2024 C conf
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer.
ISCAS
Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu
2024 J jnl
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer.
CoRR
Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu
2024 — conf
Event-Based Eye Tracking. AIS 2024 Challenge Survey.
CVPR Workshops
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
2024 J jnl
Event-Based Eye Tracking. AIS 2024 Challenge Survey.
CoRR
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
2024 A* conf
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training.
AAAI
Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck
2024 J jnl
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality.
CoRR
Junyuan Ding, Ziteng Wang, Chang Gao, Min Liu, Qinyu Chen
2024 J jnl
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap.
Siyue Li, Shize Zhou, Yongqi Xue, Wenjie Fan, Tong Cheng, Jinlun Ji, Chenyang Dai, Wenqing Song, Qinyu Chen, Chang Gao, Li Li, Yuxiang Fu
2024 J jnl
Hardware Neural Control of CartPole and F1TENTH Race Car.
CoRR
Marcin Paluch, Florian Bolli, Xiang Deng, Antonio Rios-Navarro, Chang Gao, Tobi Delbruck
2024 J jnl
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers.
CoRR
Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao
2024 C conf
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion.
ISCAS
Yizhuo Wu, Gagan Deep Singh, Mohammadreza Beikmirza, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao
2024 J jnl
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion.
CoRR
Yizhuo Wu, Gagan Deep Singh, Mohammadreza Beikmirza, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao
2024 J jnl
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network.
CoRR
Guorui Lu, Jing Peng, Bingyuan Huang, Chang Gao, Todor Stefanov, Yong Hao, Qinyu Chen
2024 J jnl
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity.
IEEE Trans. Neural Networks Learn. Syst.
Chang Gao, Tobi Delbruck, Shih-Chii Liu
2023 — conf
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network.
BioCAS
Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao
2023 J jnl
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network.
CoRR
Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao
2023 C conf
An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting.
ISCAS
Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu
2023 J jnl
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training.
CoRR
Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck
2023 — conf
FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation.
AICAS
Qinyu Chen, Congyi Sun, Chang Gao, Xinyuan Fang, Haitao Luan
2023 J jnl
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration.
CoRR
Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno
2023 J jnl
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno
2022 J jnl
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction.
CoRR
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu
2022 J jnl
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction.
IEEE J. Solid State Circuits
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu
2022 — conf
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction.
ISSCC
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu
2022 J jnl
Cerebron: A Reconfigurable Architecture for Spatiotemporal Sparse Spiking Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst.
Qinyu Chen, Chang Gao, Yuxiang Fu
2022 — conf
Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks.
AICAS
Qinyu Chen, Congyi Sun, Zhonghai Lu, Chang Gao
2022 — conf
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference.
AICAS
Johanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu
2022 J jnl
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance.
CoRR
Qinyu Chen, Chang Gao, Xinyuan Fang, Haitao Luan
2022 J jnl
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Qinyu Chen, Chang Gao, Xinyuan Fang, Haitao Luan
2022 J jnl
Spiking Cochlea With System-Level Local Automatic Gain Control.
IEEE Trans. Circuits Syst. I Regul. Pap.
Ilya Kiselev, Chang Gao, Shih-Chii Liu
2022 J jnl
Spiking Cochlea with System-level Local Automatic Gain Control.
CoRR
Ilya Kiselev, Chang Gao, Shih-Chii Liu
2021 — conf
EILE: Efficient Incremental Learning on the Edge.
AICAS
Xi Chen, Chang Gao, Tobi Delbruck, Shih-Chii Liu
2021 J jnl
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity.
CoRR
Chang Gao, Tobi Delbruck, Shih-Chii Liu
2020 — conf
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference.
AICAS
Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbruck, Shih-Chii Liu
2020 J jnl
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference.
CoRR
Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbruck
2020 J jnl
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbruck
2020 J jnl
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator.
CoRR
Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbruck
2020 A* conf
Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator.
ICRA
Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbruck
2019 C conf
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator.
ISCAS
Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbruck, Shih-Chii Liu
2019 C conf
Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator.
ISCAS
Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbruck, Shih-Chii Liu
2018 A conf
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator.
FPGA
Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbruck
2017 C conf
On-chip ID generation for multi-node implantable devices using SA-PUF.
ISCAS
Chang Gao, Sara S. Ghoreishizadeh, Yan Liu, Timothy G. Constandinou