Tien-Ju Yang

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 27

Top Topics

Temporal Segmentation

Neural Architecture

Top Venues

Publications

Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews
Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR (2023)
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
Online Model Compression for Federated Learning with Large Models. ICASSP (2023)
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)
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
Online Model Compression for Federated Learning with Large Models. CoRR (2022)
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 (2022)
Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
Partial Variable Training for Efficient on-Device Federated Learning. ICASSP (2022)
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)
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. CVPR (2021)
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 (2021)
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. CoRR (2021)
Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
Partial Variable Training for Efficient On-Device Federated Learning. CoRR (2021)
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. ICRA (2019)
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. CoRR (2019)
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)
Tien-Ju Yang, Vivienne Sze
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. CoRR (2019)
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 (2019)
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 (2019)
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) (2019)
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 (2018)
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)
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)
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) (2017)
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR (2017)
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR (2017)
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR (2017)
Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
A method to estimate the energy consumption of deep neural networks. ACSSC (2017)
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR (2016)
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)
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)
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)
Tien-Ju Yang, Yi-Min Tsai, Liang-Gee Chen
Smart display: A mobile self-adaptive projector-camera system. ICME (2011)