Tien-Ju Yang
Cited by
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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
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
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
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
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
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
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
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
Hardware architectures for deep neural networks
J Emer, V Sze, YH Chen, TJ Yang
CICS/MTL Tutorial, Mar 27, 258, 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
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
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
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
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
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
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
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
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
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
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
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