On-chip ID generation for multi-node implantable devices using SA-PUF. - Chang Gao 002; Sara S. Ghoreishizadeh; Yan Liu 016; Timothy G. Constandinou (ISCAS, 2017)

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. - Chang Gao 002; Daniel Neil; Enea Ceolini; Shih-Chii Liu; Tobi Delbruck (FPGA, 2018)

Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator. - Chang Gao 002; Stefan Braun 005; Ilya Kiselev; Jithendar Anumula; Tobi Delbruck; Shih-Chii Liu (ISCAS, 2019)

Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator. - Chang Gao 002; Stefan Braun 005; Ilya Kiselev; Jithendar Anumula; Tobi Delbruck; Shih-Chii Liu (ISCAS, 2019)

EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference. - Chang Gao 002; Antonio Rios-Navarro; Xi Chen; Tobi Delbruck; Shih-Chii Liu (AICAS, 2020)

Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator. - Chang Gao 002; Rachel Gehlhar; Aaron D. Ames; Shih-Chii Liu; Tobi Delbruck (ICRA, 2020)

Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator. - Chang Gao 002; Rachel Gehlhar; Aaron D. Ames; Shih-Chii Liu; Tobi Delbruck (CoRR, 2020)

EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. - Chang Gao 002; Antonio Rios-Navarro; Xi Chen; Shih-Chii Liu; Tobi Delbruck (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

EILE: Efficient Incremental Learning on the Edge. - Xi Chen; Chang Gao 002; Tobi Delbruck; Shih-Chii Liu (AICAS, 2021)

Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks. - Qinyu Chen; Congyi Sun; Zhonghai Lu; Chang Gao 002 (AICAS, 2022)

Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference. - Johanna Hedlund Lindmar; Chang Gao 002; Shih-Chii Liu (AICAS, 2022)

A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction. - Kwantae Kim; Chang Gao 002; Rui Graça; Ilya Kiselev; Hoi-Jun Yoo; Tobi Delbruck; Shih-Chii Liu (ISSCC, 2022)

A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction. - Kwantae Kim; Chang Gao 002; Rui Graça; Ilya Kiselev; Hoi-Jun Yoo; Tobi Delbruck; Shih-Chii Liu (IEEE J. Solid State Circuits, 2022)

Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance. - Qinyu Chen; Chang Gao 002; Xinyuan Fang; Haitao Luan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Spiking Cochlea With System-Level Local Automatic Gain Control. - Ilya Kiselev; Chang Gao 002; Shih-Chii Liu (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Cerebron: A Reconfigurable Architecture for Spatiotemporal Sparse Spiking Neural Networks. - Qinyu Chen; Chang Gao 002; Yuxiang Fu (IEEE Trans. Very Large Scale Integr. Syst., 2022)

FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation. - Qinyu Chen; Congyi Sun; Chang Gao 002; Xinyuan Fang; Haitao Luan (AICAS, 2023)

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. - Qinyu Chen; Zuowen Wang; Shih-Chii Liu; Chang Gao 002 (BioCAS, 2023)

An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting. - Qinyu Chen; Yaoxing Chang; Kwantae Kim; Chang Gao 002; Shih-Chii Liu (ISCAS, 2023)

To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration. - Fabrizio Ottati; Chang Gao 002; Qinyu Chen; Giovanni Brignone; Mario R. Casu; Jason K. Eshraghian; Luciano Lavagno (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. - Xi Chen; Chang Gao 002; Zuowen Wang; Longbiao Cheng; Sheng Zhou; Shih-Chii Liu; Tobi Delbruck (AAAI, 2024)

Event-Based Eye Tracking. AIS 2024 Challenge Survey. - Zuowen Wang; Chang Gao 002; Zongwei Wu; Marcos V. Conde; Radu Timofte; Shih-Chii Liu; Qinyu Chen; Zhengjun Zha; Wei Zhai; Han Han; Bohao Liao; Yuliang Wu; et al. (CVPR Workshops, 2024)

Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. - Qinyu Chen; Congyi Sun; Chang Gao 002; Shih-Chii Liu (ISCAS, 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 002 (ISCAS, 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 002 (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 002; Sheng Zhou; Taekwang Jang; Tobi Delbruck; Shih-Chii Liu (CoRR, 2024)

Hardware Neural Control of CartPole and F1TENTH Race Car. - Marcin Paluch; Florian Bolli; Xiang Deng; Antonio Rios-Navarro; Chang Gao 002; Tobi Delbruck (CoRR, 2024)

Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. - Chang Gao 002; Tobi Delbruck; Shih-Chii Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators. - Siyue Li; Shize Zhou; Yongqi Xue; Wenjie Fan 004; Tong Cheng; Jinlun Ji; Chenyang Dai; Wenqing Song; Qinyu Chen; Chang Gao 002; Li Li 003; Yuxiang Fu (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Event-based eye tracking. Even-based Vision Workshop 2025. - Qinyu Chen; Chang Gao 002; Min Liu; Daniele Perrone; Yan Ru Pei; Zuowen Wang; Zhuo Zou; Shihang Tan; Tao Han; Guorui Lu; Zhen Xu; Junyuan Ding; et al. (CVPR Workshops, 2025)

CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning. - Sjoerd Groot; Qinyu Chen; Jan C. van Gemert; Chang Gao 002 (ISCAS, 2025)

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 002 (ISCAS, 2025)

SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network. - Guorui Lu; Jing Peng; Bingyuan Huang; Chang Gao 002; Todor Stefanov; Yong Hao; Qinyu Chen (ISCAS, 2025)

HengNet: An Ultra-lightweight Model with Two-level Reuse Algorithm for Seizure Detection and Prediction. - Heng Zhang; Linxiang Wang; Wenjie Fan 004; Zhenglin Gu; Youbin Luo; Xingjie Zou; Chang Gao 002; Qinyu Chen; Yuxiang Fu; Li Li 003 (ISCAS, 2025)

Event-Based Eye Tracking. 2025 Event-based Vision Workshop. - Qinyu Chen; Chang Gao 002; Min Liu; Daniele Perrone; Yan Ru Pei; Zuowen Wang; Zhuo Zou; Shihang Tan; Tao Han; Guorui Lu; Zhen Xu; Junyuan Ding; et al. (CoRR, 2025)

DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion. - Yizhuo Wu; Yi Zhu; Kun Qian; Qinyu Chen; Anding Zhu; John R. Gajadharsing; Leo C. N. de Vreede; Chang Gao 002 (CoRR, 2025)

TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion. - Huanqiang Duan; Manno Versluis; Qinyu Chen; Leo C. N. de Vreede; Chang Gao 002 (CoRR, 2025)