Chang Gao
Orcid: 0000-0002-3284-4078Affiliations:
- University of Zurich and ETH Zurich, Zurich, Switzerland
According to our database1,
Chang Gao
authored at least 29 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM.
CoRR, 2024
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers.
CoRR, 2024
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
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.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023
An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation.
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.
IEEE Trans. Very Large Scale Integr. Syst., 2022
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction.
IEEE J. Solid State Circuits, 2022
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference.
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.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator.
CoRR, 2020
Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
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.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2018
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018
2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017