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ORCIDChang Gao 0002
Person information
- affiliation: Delft University of Technology (TU Delft), Department of Microelectronics, Faculty of Electrical Engineering, Mathematics and Computer Science, Netherlands
- affiliation: University of Zurich, Switzerland
- affiliation: ETH Zurich, Zurich, Switzerland
Other persons with the same name
- Chang Gao — disambiguation page
- Chang Gao 0001
![[0000-0002-6464-8952]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6464-8952")
— University of Hong Kong, Department of Computer Science, Hong Kong - Chang Gao 0003 — Yanshan University, Qinhuangdao, China
- Chang Gao 0004 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Chang Gao 0005 — Xidian University, School of Electronic Engineering, Xi'an, China (and 1 more)
- Chang Gao 0006 — University of the Chinese Academy of Sciences, Sino-Danish College, Beijing, China
- Chang Gao 0007 — Beijing Jiaotong University, Beijing, China
- Chang Gao 0008 — University of California Los Angeles, Los Angeles, CA, USA
- Chang Gao 0009 — Liaoning Technical University, Huludao, Liaoning, China
- Chang Gao 0010 — Beijing University of Posts and Telecommunications, Beijing, China
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2020 – today
- 2025
[j10]Sheng Zhou, Zixiao Li, Longbiao Cheng, Jérôme Hadorn, Chang Gao, Qinyu Chen, Tobi Delbruck, Kwantae Kim, Shih-Chii Liu:
An 8.62-μW 75-dB DRSoC Fully Integrated SoC for Spoken Language Understanding. IEEE J. Solid State Circuits 60(11): 4002-4017 (2025)- [j9]Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbruck, Shih-Chii Liu:
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. 2(1): 79-87 (2025) - [c24]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:
Event-based eye tracking. Even-based Vision Workshop 2025. CVPR Workshops 2025: 5164-5176 - [c23]Junyuan Ding, Ziteng Wang, Chang Gao, Min Liu, Qinyu Chen:
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality. ICRA 2025: 10347-10354 - [c22]Marcin Paluch, Florian Bolli, Xiang Deng, Antonio Rios-Navarro, Chang Gao, Tobi Delbruck:
FPGA Hardware Neural Control of CartPole and F1TENTH Race Car. IROS 2025: 21803-21810 - [c21]Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao:
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning. ISCAS 2025: 1-5 - [c20]Ang Li, Haolin Wu, Yizhuo Wu, Qinyu Chen, Leo C. N. de Vreede, Chang Gao:
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm2 Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion. ISCAS 2025: 1-5 - [c19]Guorui Lu, Jing Peng, Bingyuan Huang, Chang Gao, Todor Stefanov, Yong Hao, Qinyu Chen:
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network. ISCAS 2025: 1-5 - [c18]Heng Zhang, Linxiang Wang, Wenjie Fan, Zhenglin Gu, Youbin Luo, Xingjie Zou, Chang Gao, Qinyu Chen, Yuxiang Fu, Li Li:
HengNet: An Ultra-lightweight Model with Two-level Reuse Algorithm for Seizure Detection and Prediction. ISCAS 2025: 1-5 - [i25]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:
Event-Based Eye Tracking. 2025 Event-based Vision Workshop. CoRR abs/2504.18249 (2025) - [i24]Yizhuo Wu, Yi Zhu, Kun Qian, Qinyu Chen, Anding Zhu, John R. Gajadharsing, Leo C. N. de Vreede, Chang Gao:
DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion. CoRR abs/2505.06250 (2025) - [i23]Chen Bao, Chuanbing Huo, Qinyu Chen, Chang Gao:
AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition. CoRR abs/2506.06566 (2025) - [i22]Huanqiang Duan, Manno Versluis, Qinyu Chen, Leo C. N. de Vreede, Chang Gao:
TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion. CoRR abs/2506.12165 (2025) - [i21]Jiawen Qi, Chang Gao, Zhaochun Ren, Qinyu Chen:
DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference. CoRR abs/2507.19608 (2025) - [i20]Tao Han, Ang Li, Qinyu Chen, Chang Gao:
JaneEye: A 12-nm 2K-FPS 18.9-μJ/Frame Event-based Eye Tracking Accelerator. CoRR abs/2510.01213 (2025) - 2024
- [j8]Siyue Li, Shize Zhou, Yongqi Xue, Wenjie Fan, Tong Cheng, Jinlun Ji, Chenyang Dai, Wenqing Song, Qinyu Chen, Chang Gao, Li Li, Yuxiang Fu:
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1863-1875 (2024) - [j7]Chang Gao, Tobi Delbruck, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1098-1112 (2024) - [c17]Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. AAAI 2024: 11399-11406 - [c16]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:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CVPR Workshops 2024: 5810-5825 - [c15]Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu:
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. ISCAS 2024: 1-5 - [c14]Yizhuo Wu, Gagan Deep Singh, Mohammadreza Beikmirza, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao:
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion. ISCAS 2024: 1-5 - [i19]Yizhuo Wu, Gagan Deep Singh, Mohammadreza Beikmirza, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao:
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion. CoRR abs/2401.08318 (2024) - [i18]Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu:
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. CoRR abs/2402.09424 (2024) - [i17]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:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CoRR abs/2404.11770 (2024) - [i16]Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, Morteza S. Alavi, Chang Gao:
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers. CoRR abs/2404.15364 (2024) - [i15]Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbruck, Shih-Chii Liu:
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM. CoRR abs/2405.03905 (2024) - [i14]Marcin Paluch, Florian Bolli, Xiang Deng, Antonio Rios-Navarro, Chang Gao, Tobi Delbruck:
Hardware Neural Control of CartPole and F1TENTH Race Car. CoRR abs/2407.08681 (2024) - [i13]Junyuan Ding, Ziteng Wang, Chang Gao, Min Liu, Qinyu Chen:
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality. CoRR abs/2409.15584 (2024) - [i12]Guorui Lu, Jing Peng, Bingyuan Huang, Chang Gao, Todor Stefanov, Yong Hao, Qinyu Chen:
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network. CoRR abs/2410.09998 (2024) - [i11]Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao:
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning. CoRR abs/2410.11062 (2024) - [i10]Ang Li, Haolin Wu, Yizhuo Wu, Qinyu Chen, Leo C. N. de Vreede, Chang Gao:
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm2 Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion. CoRR abs/2410.11766 (2024) - 2023
- [j6]Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno:
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1015-1025 (2023) - [c13]Qinyu Chen, Congyi Sun, Chang Gao, Xinyuan Fang, Haitao Luan:
FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation. AICAS 2023: 1-5 - [c12]Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao:
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. BioCAS 2023: 1-5 - [c11]Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu:
An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting. ISCAS 2023: 1-5 - [i9]Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno:
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration. CoRR abs/2306.15749 (2023) - [i8]Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao:
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. CoRR abs/2308.11771 (2023) - [i7]Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. CoRR abs/2312.09391 (2023) - 2022
- [j5]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu:
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction. IEEE J. Solid State Circuits 57(11): 3298-3311 (2022) - [j4]Qinyu Chen, Chang Gao, Xinyuan Fang, Haitao Luan:
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5732-5736 (2022) - [j3]Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea With System-Level Local Automatic Gain Control. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2156-2166 (2022) - [j2]Qinyu Chen, Chang Gao, Yuxiang Fu:
Cerebron: A Reconfigurable Architecture for Spatiotemporal Sparse Spiking Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 30(10): 1425-1437 (2022) - [c10]Qinyu Chen, Congyi Sun, Zhonghai Lu, Chang Gao:
Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks. AICAS 2022: 25-28 - [c9]Johanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu:
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference. AICAS 2022: 126-129 - [c8]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu:
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction. ISSCC 2022: 1-3 - [i6]Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea with System-level Local Automatic Gain Control. CoRR abs/2202.06707 (2022) - [i5]Qinyu Chen, Chang Gao, Xinyuan Fang, Haitao Luan:
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance. CoRR abs/2203.07516 (2022) - [i4]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu:
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction. CoRR abs/2208.00693 (2022) - 2021
- [c7]Xi Chen, Chang Gao, Tobi Delbruck, Shih-Chii Liu:
EILE: Efficient Incremental Learning on the Edge. AICAS 2021: 1-4 - [i3]Chang Gao, Tobi Delbruck, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity. CoRR abs/2108.02297 (2021) - 2020
- [j1]Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbruck:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 419-432 (2020) - [c6]Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbruck, Shih-Chii Liu:
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference. AICAS 2020: 41-45 - [c5]Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbruck:
Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator. ICRA 2020: 5460-5466 - [i2]Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbruck:
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator. CoRR abs/2002.03197 (2020) - [i1]Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbruck:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. CoRR abs/2012.13600 (2020)
2010 – 2019
- 2019
- [c4]Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbruck, Shih-Chii Liu:
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator. ISCAS 2019: 1 - [c3]Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbruck, Shih-Chii Liu:
Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator. ISCAS 2019: 1-5 - 2018
- [c2]Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbruck:
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. FPGA 2018: 21-30 - 2017
- [c1]Chang Gao, Sara S. Ghoreishizadeh, Yan Liu, Timothy G. Constandinou:
On-chip ID generation for multi-node implantable devices using SA-PUF. ISCAS 2017: 1-4
Coauthor Index
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