| Efficient processing of deep neural networks: A tutorial and survey V Sze, YH Chen, TJ Yang, JS Emer Proceedings of the IEEE 105 (12), 2295-2329, 2017 | 3740 | 2017 |
| Designing energy-efficient convolutional neural networks using energy-aware pruning TJ Yang, YH Chen, V Sze Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 883 | 2017 |
| Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices YH Chen, TJ Yang, J Emer, V Sze IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 833 | 2019 |
| Netadapt: Platform-aware neural network adaptation for mobile applications TJ Yang, A Howard, B Chen, X Zhang, A Go, M Sandler, V Sze, H Adam Proceedings of the European Conference on Computer Vision (ECCV), 285-300, 2018 | 613 | 2018 |
| Morphnet: Fast & simple resource-constrained structure learning of deep networks A Gordon, E Eban, O Nachum, B Chen, H Wu, TJ Yang, E Choi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 366 | 2018 |
| Fastdepth: Fast monocular depth estimation on embedded systems D Wofk, F Ma, TJ Yang, S Karaman, V Sze 2019 International Conference on Robotics and Automation (ICRA), 6101-6108, 2019 | 301 | 2019 |
| A method to estimate the energy consumption of deep neural networks TJ Yang, YH Chen, J Emer, V Sze 2017 51st asilomar conference on signals, systems, and computers, 1916-1920, 2017 | 198 | 2017 |
| Deeperlab: Single-shot image parser TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ... arXiv preprint arXiv:1902.05093, 2019 | 192 | 2019 |
| Hardware architectures for deep neural networks J Emer, V Sze, YH Chen, TJ Yang CICS/MTL Tutorial, Mar 27, 258, 2017 | 112 | 2017 |
| Segsort: Segmentation by discriminative sorting of segments JJ Hwang, SX Yu, J Shi, MD Collins, TJ Yang, X Zhang, LC Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 107 | 2019 |
| Understanding the limitations of existing energy-efficient design approaches for deep neural networks Y Chen, TJ Yang, J Emer, V Sze Energy 2 (L1), L3, 2018 | 91 | 2018 |
| How to evaluate deep neural network processors: Tops/w (alone) considered harmful V Sze, YH Chen, TJ Yang, JS Emer IEEE Solid-State Circuits Magazine 12 (3), 28-41, 2020 | 57 | 2020 |
| Design considerations for efficient deep neural networks on processing-in-memory accelerators TJ Yang, V Sze 2019 IEEE International Electron Devices Meeting (IEDM), 22.1. 1-22.1. 4, 2019 | 54 | 2019 |
| Netadaptv2: Efficient neural architecture search with fast super-network training and architecture optimization TJ Yang, YL Liao, V Sze Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
| Partial variable training for efficient on-device federated learning TJ Yang, D Guliani, F Beaufays, G Motta ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 18 | 2022 |
| A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications YM Tsai, TJ Yang, CC Tsai, KY Huang, LG Chen 2012 Symposium on VLSI Circuits (VLSIC), 152-153, 2012 | 15 | 2012 |
| Smart display: A mobile self-adaptive projector-camera system TJ Yang, YM Tsai, LG Chen 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 11 | 2011 |
| Enabling on-device training of speech recognition models with federated dropout D Guliani, L Zhou, C Ryu, TJ Yang, H Zhang, Y Xiao, F Beaufays, G Motta ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
| Federated pruning: improving neural network efficiency with federated learning R Lin, Y Xiao, TJ Yang, D Zhao, L Xiong, G Motta, F Beaufays arXiv preprint arXiv:2209.06359, 2022 | 3 | 2022 |
| WarmL1: A warm-start homotopy-based reconstruction algorithm for sparse signals TJ Yang, YM Tsai, CT Li, LG Chen 2012 IEEE International Symposium on Information Theory Proceedings, 2226-2230, 2012 | 3 | 2012 |
