Smart display: A mobile self-adaptive projector-camera system. - Tien-Ju Yang; Yi-Min Tsai; Liang-Gee Chen (ICME, 2011)

A high speed feature matching architecture for real-time video stabilization. - Keng-Yen Huang; Yi-Min Tsai; Tien-Ju Yang; Liang-Gee Chen (ISCAS, 2012)

WarmL1: A warm-start homotopy-based reconstruction algorithm for sparse signals. - Tien-Ju Yang; Yi-Min Tsai; Chung-Te Li; Liang-Gee Chen (ISIT, 2012)

A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications. - Yi-Min Tsai; Tien-Ju Yang; Chih-Chung Tsai; Keng-Yen Huang; Liang-Gee Chen (VLSIC, 2012)

A method to estimate the energy consumption of deep neural networks. - Tien-Ju Yang; Yu-Hsin Chen; Joel S. Emer; Vivienne Sze (ACSSC, 2017)

Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. - Tien-Ju Yang; Yu-Hsin Chen; Vivienne Sze (CVPR, 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Tien-Ju Yang; Edward Choi (CoRR, 2017)

Efficient Processing of Deep Neural Networks: A Tutorial and Survey. - Vivienne Sze; Yu-Hsin Chen; Tien-Ju Yang; Joel S. Emer (Proc. IEEE, 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Hao Wu; Tien-Ju Yang; Edward Choi (CVPR, 2018)

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. - Tien-Ju Yang; Andrew G. Howard; Bo Chen 019; Xiao Zhang; Alec Go; Mark Sandler 002; Vivienne Sze; Hartwig Adam (ECCV (10), 2018)

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. - Tien-Ju Yang; Andrew G. Howard; Bo Chen 019; Xiao Zhang; Alec Go; Vivienne Sze; Hartwig Adam (CoRR, 2018)

SegSort: Segmentation by Discriminative Sorting of Segments. - Jyh-Jing Hwang; Stella X. Yu; Jianbo Shi; Maxwell D. Collins; Tien-Ju Yang; Xiao Zhang; Liang-Chieh Chen (ICCV, 2019)

FastDepth: Fast Monocular Depth Estimation on Embedded Systems. - Diana Wofk; Fangchang Ma; Tien-Ju Yang; Sertac Karaman; Vivienne Sze (ICRA, 2019)

DeeperLab: Single-Shot Image Parser. - Tien-Ju Yang; Maxwell D. Collins; Yukun Zhu; Jyh-Jing Hwang; Ting Liu 005; Xiao Zhang; Vivienne Sze; George Papandreou; Liang-Chieh Chen (CoRR, 2019)

Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. - Tien-Ju Yang; Vivienne Sze (CoRR, 2019)

Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. - Yu-Hsin Chen; Tien-Ju Yang; Joel S. Emer; Vivienne Sze (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Efficient Processing of Deep Neural Networks - Vivienne Sze; Yu-Hsin Chen; Tien-Ju Yang; Joel S. Emer (Morgan & Claypool Publishers, 2020)

NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. - Tien-Ju Yang; Yi-Lun Liao; Vivienne Sze (CVPR, 2021)

Enabling On-Device Training of Speech Recognition Models With Federated Dropout. - Dhruv Guliani; Lillian Zhou; Changwan Ryu; Tien-Ju Yang; Harry Zhang; Yonghui Xiao; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Partial Variable Training for Efficient on-Device Federated Learning. - Tien-Ju Yang; Dhruv Guliani; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Federated Pruning: Improving Neural Network Efficiency with Federated Learning. - Rongmei Lin; Yonghui Xiao; Tien-Ju Yang; Ding Zhao; Li Xiong 001; Giovanni Motta; Françoise Beaufays (INTERSPEECH, 2022)

Online Model Compression for Federated Learning with Large Models. - Tien-Ju Yang; Yonghui Xiao; Giovanni Motta; Françoise Beaufays; Rajiv Mathews; Mingqing Chen (ICASSP, 2023)

Heterogeneous Federated Learning Using Knowledge Codistillation. - Jared Lichtarge; Ehsan Amid; Shankar Kumar; Tien-Ju Yang; Rohan Anil; Rajiv Mathews (CoRR, 2023)

Contemplative Mechanism for Speech Recognition: Speech Encoders can Think. - Tien-Ju Yang; Andrew Rosenberg; Bhuvana Ramabhadran (INTERSPEECH, 2024)

Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. - Xuan Kan; Yonghui Xiao; Tien-Ju Yang; Nanxin Chen; Rajiv Mathews (CoRR, 2024)