Tien-Ju Yang

发表

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Bo Chen, Xiao Zhang, Vivienne Sze, 2018, ECCV.

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Vivienne Sze, Joel S. Emer, Yu-Hsin Chen, 2017, Proceedings of the IEEE.

Smart display: A mobile self-adaptive projector-camera system

Liang-Gee Chen, Yi-Min Tsai, Tien-Ju Yang, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

Vivienne Sze, Tien-Ju Yang, Yu-Hsin Chen, 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Understanding the Limitations of Existing Energy-Efficient Design Approaches for Deep Neural Networks

J. Emer, Yu-hsin Chen, Tien-Ju Yang, 2018 .

FastDepth: Fast Monocular Depth Estimation on Embedded Systems

Sertac Karaman, Vivienne Sze, Fangchang Ma, 2019, 2019 International Conference on Robotics and Automation (ICRA).

TOPS/W (alone) Considered Harmful

V. Sze, J. Emer, Yu-hsin Chen, 2020 .

Federated Pruning: Improving Neural Network Efficiency with Federated Learning

Li Xiong, Rongmei Lin, Yonghui Xiao, 2022, INTERSPEECH.

SegSort: Segmentation by Discriminative Sorting of Segments

Stella X. Yu, Liang-Chieh Chen, Maxwell D. Collins, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

DeeperLab: Single-Shot Image Parser pdf

George Papandreou, Ting Liu, Xiao Zhang, 2019, ArXiv.

A method to estimate the energy consumption of deep neural networks

Joel Emer, Vivienne Sze, Tien-Ju Yang, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Efficient Processing of Deep Neural Networks

Joel Emer, Vivienne Sze, Tien-Ju Yang, 2020, Synthesis Lectures on Computer Architecture.

Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning

Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful

Vivienne Sze, Joel S. Emer, Tien-Ju Yang, 2020, IEEE Solid-State Circuits Magazine.

Partial Variable Training for Efficient on-Device Federated Learning pdf

Franccoise Beaufays, Tien-Ju Yang, Dhruv Guliani, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Enabling On-Device Training of Speech Recognition Models With Federated Dropout pdf

Francoise Beaufays, Dhruv Guliani, Lillian Zhou, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Elad Eban, Edward Choi, Ofir Nachum, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Online Model Compression for Federated Learning with Large Models

F. Beaufays, Mingqing Chen, Rajiv Mathews, 2022, IEEE International Conference on Acoustics, Speech, and Signal Processing.

NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization

Vivienne Sze, Tien-Ju Yang, Yi-Lun Liao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators

Vivienne Sze, Tien-Ju Yang, V. Sze, 2019, 2019 IEEE International Electron Devices Meeting (IEDM).

Efficient Processing of Deep Neural Networks

V. Sze, J. Emer, Yu-hsin Chen, 2020, Synthesis Lectures on Computer Architecture.

Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging

V. Sze, J. Emer, Yu-hsin Chen, 2021 .