Tien-Ju Yang

Tien-Ju Yang

Massachusetts Institute of Technology

H-index: 15

North America-United States

About Tien-Ju Yang

Tien-Ju Yang, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Artificial Intelligence, Computer Vision, Neural Network, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Knowledge Distillation with Domain Mismatch For Speech Recognition

Heterogeneous Federated Learning Using Knowledge Codistillation

Online Model Compression for Federated Learning with Large Models

Enabling on-device training of speech recognition models with federated dropout

Federated pruning: Improving neural network efficiency with federated learning

Partial variable training for efficient on-device federated learning

Netadaptv2: Efficient neural architecture search with fast super-network training and architecture optimization

Designing DNN Accelerators

Tien-Ju Yang Information

University

Position

___

Citations(all)

7919

Citations(since 2020)

7435

Cited By

3261

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

18

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Tien-Ju Yang Skills & Research Interests

Artificial Intelligence

Computer Vision

Neural Network

Deep Learning

Top articles of Tien-Ju Yang

Title

Journal

Author(s)

Publication Date

Knowledge Distillation with Domain Mismatch For Speech Recognition

2024/4/25

Heterogeneous Federated Learning Using Knowledge Codistillation

arXiv preprint arXiv:2310.02549

Jared Lichtarge

Ehsan Amid

Shankar Kumar

Tien-Ju Yang

Rohan Anil

...

2023/10/4

Online Model Compression for Federated Learning with Large Models

Tien-Ju Yang

Yonghui Xiao

Giovanni Motta

Françoise Beaufays

Rajiv Mathews

...

2023/6/4

Enabling on-device training of speech recognition models with federated dropout

Dhruv Guliani

Lillian Zhou

Changwan Ryu

Tien-Ju Yang

Harry Zhang

...

2022/5/23

Federated pruning: Improving neural network efficiency with federated learning

arXiv preprint arXiv:2209.06359

Rongmei Lin

Yonghui Xiao

Tien-Ju Yang

Ding Zhao

Li Xiong

...

2022/9/14

Partial variable training for efficient on-device federated learning

Tien-Ju Yang

Dhruv Guliani

Françoise Beaufays

Giovanni Motta

2022/5/23

Netadaptv2: Efficient neural architecture search with fast super-network training and architecture optimization

Tien-Ju Yang

Yi-Lun Liao

Vivienne Sze

2021

Designing DNN Accelerators

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Reducing precision

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Key Metrics and Design Objectives

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

How to evaluate deep neural network processors: Tops/w (alone) considered harmful

IEEE Solid-State Circuits Magazine

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020/8/25

Overview of Deep Neural Networks

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Hardware-aware efficient deep neural network design

Tien-Ju Yang

2020/8/21

Kernel Computation

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Exploiting sparsity

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Advanced Technologies

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Operation Mapping on Specialized Hardware

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

Designing Efficient DNN Models

Vivienne Sze

Yu-Hsin Chen

Tien-Ju Yang

Joel S Emer

2020

See List of Professors in Tien-Ju Yang University(Massachusetts Institute of Technology)