| SECO: A scalable accuracy approximate exponential function via cross-layer optimization D Wu, T Chen, C Chen, O Ahia, J San Miguel, M Lipasti, Y Kim 2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019 | 24 | 2019 |
| Approximate hardware techniques for energy-quality scaling across the system Y Kim, J San Miguel, S Behroozi, T Chen, K Lee, Y Lee, J Li, D Wu 2020 International Conference on Electronics, Information, and Communication …, 2020 | 12 | 2020 |
| Synthnet: A high-throughput yet energy-efficient combinational logic neural network T Chen, T Kemp, Y Kim 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 232-237, 2022 | 2 | 2022 |
| Latent weight-based pruning for small binary neural networks T Chen, N Anderson, Y Kim Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 1 | 2023 |
| Demo Abstract: N-Hot Weight Quantization and Approximate Multiplication for Low-Power Machine Learning T Chen, J Rupel, A Mahmood, L Ricotta, Y Kim, JS Miguel Proceedings of the 2020 International Symposium on Low Power Electronics and …, 2020 | 1 | 2020 |
| Content-aware Input Scaling and Deep Learning Computation Offloading for Low-Latency Embedded Vision O Prabhune, T Chen, Y Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Designing Efficient Machine Learning Architectures for Edge Devices T Chen The University of Wisconsin-Madison, 2023 | | 2023 |
| LoRD: Low Power Real Time Digit Recognition T Chen, A Mahmood, L Ricotta, J Rupel | | |
