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Tien-Ju Yang
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2020 – today
- 2023
- [c15]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. ICASSP 2023: 1-5 - [i14]Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews:
Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR abs/2310.02549 (2023) - 2022
- [c14]Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Partial Variable Training for Efficient on-Device Federated Learning. ICASSP 2022: 4348-4352 - [c13]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP 2022: 8757-8761 - [c12]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [i13]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. CoRR abs/2205.03494 (2022) - [i12]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - 2021
- [c11]Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze:
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. CVPR 2021: 2402-2411 - [i11]Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze:
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. CoRR abs/2104.00031 (2021) - [i10]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR abs/2110.03634 (2021) - [i9]Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Partial Variable Training for Efficient On-Device Federated Learning. CoRR abs/2110.05607 (2021) - 2020
- [b1]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00638-8
2010 – 2019
- 2019
- [j2]Yu-Hsin Chen
, Tien-Ju Yang
, Joel S. Emer
, Vivienne Sze
:
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 292-308 (2019) - [c10]Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen:
SegSort: Segmentation by Discriminative Sorting of Segments. ICCV 2019: 7333-7343 - [c9]Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze:
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. ICRA 2019: 6101-6108 - [i8]Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen:
DeeperLab: Single-Shot Image Parser. CoRR abs/1902.05093 (2019) - [i7]Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze:
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. CoRR abs/1903.03273 (2019) - [i6]Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen:
SegSort: Segmentation by Discriminative Sorting of Segments. CoRR abs/1910.06962 (2019) - [i5]Tien-Ju Yang, Vivienne Sze:
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. CoRR abs/1912.12167 (2019) - 2018
- [c8]Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi
:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CVPR 2018: 1586-1595 - [c7]Tien-Ju Yang
, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam:
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. ECCV (10) 2018: 289-304 - [i4]Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Vivienne Sze, Hartwig Adam:
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. CoRR abs/1804.03230 (2018) - 2017
- [j1]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. Proc. IEEE 105(12): 2295-2329 (2017) - [c6]Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
A method to estimate the energy consumption of deep neural networks. ACSSC 2017: 1916-1920 - [c5]Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze:
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR 2017: 6071-6079 - [i3]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR abs/1703.09039 (2017) - [i2]Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR abs/1711.06798 (2017) - 2016
- [i1]Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze:
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR abs/1611.05128 (2016) - 2012
- [c4]Keng-Yen Huang, Yi-Min Tsai, Tien-Ju Yang, Liang-Gee Chen
:
A high speed feature matching architecture for real-time video stabilization. ISCAS 2012: 1436-1439 - [c3]Tien-Ju Yang, Yi-Min Tsai, Chung-Te Li, Liang-Gee Chen
:
WarmL1: A warm-start homotopy-based reconstruction algorithm for sparse signals. ISIT 2012: 2226-2230 - [c2]Yi-Min Tsai, Tien-Ju Yang, Chih-Chung Tsai, Keng-Yen Huang, Liang-Gee Chen
:
A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications. VLSIC 2012: 152-153 - 2011
- [c1]Tien-Ju Yang, Yi-Min Tsai, Liang-Gee Chen
:
Smart display: A mobile self-adaptive projector-camera system. ICME 2011: 1-6
Coauthor Index
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