Tien-Ju Yang - RankMe

34 papers A* 5A 3B 1C 1Misc 4Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Contemplative Mechanism for Speech Recognition: Speech Encoders can Think. INTERSPEECH Tien-Ju Yang, Andrew Rosenberg, Bhuvana Ramabhadran
2024	J	`jnl`	Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. CoRR Xuan Kan, Yonghui Xiao, Tien-Ju Yang, Nanxin Chen, Rajiv Mathews
2023	J	`jnl`	Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews
2023	Misc	`conf`	Online Model Compression for Federated Learning with Large Models. ICASSP Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
2022	Misc	`conf`	Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta
2022	A	`conf`	Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
2022	J	`jnl`	Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
2022	J	`jnl`	Online Model Compression for Federated Learning with Large Models. CoRR Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
2022	Misc	`conf`	Partial Variable Training for Efficient on-Device Federated Learning. ICASSP Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
2021	J	`jnl`	Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta
2021	A*	`conf`	NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. CVPR Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
2021	J	`jnl`	NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. CoRR Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
2021	J	`jnl`	Partial Variable Training for Efficient On-Device Federated Learning. CoRR Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
2020	—	`book`	Efficient Processing of Deep Neural Networks Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
2019	J	`jnl`	DeeperLab: Single-Shot Image Parser. CoRR Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
2019	J	`jnl`	Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. CoRR Tien-Ju Yang, Vivienne Sze
2019	J	`jnl`	Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer, Vivienne Sze
2019	A*	`conf`	FastDepth: Fast Monocular Depth Estimation on Embedded Systems. ICRA Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
2019	J	`jnl`	FastDepth: Fast Monocular Depth Estimation on Embedded Systems. CoRR Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
2019	A*	`conf`	SegSort: Segmentation by Discriminative Sorting of Segments. ICCV Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2019	J	`jnl`	SegSort: Segmentation by Discriminative Sorting of Segments. CoRR Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2018	A*	`conf`	MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CVPR Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi
2018	—	`conf`	NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. ECCV (10) Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam
2018	J	`jnl`	NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. CoRR Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Vivienne Sze, Hartwig Adam
2017	Misc	`conf`	A method to estimate the energy consumption of deep neural networks. ACSSC Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2017	A*	`conf`	Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
2017	J	`jnl`	Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
2017	J	`jnl`	Efficient Processing of Deep Neural Networks: A Tutorial and Survey. Proc. IEEE Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
2017	J	`jnl`	MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi
2016	J	`jnl`	Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
2012	—	`conf`	A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications. VLSIC Yi-Min Tsai, Tien-Ju Yang, Chih-Chung Tsai, Keng-Yen Huang, Liang-Gee Chen
2012	C	`conf`	A high speed feature matching architecture for real-time video stabilization. ISCAS Keng-Yen Huang, Yi-Min Tsai, Tien-Ju Yang, Liang-Gee Chen
2012	B	`conf`	WarmL1: A warm-start homotopy-based reconstruction algorithm for sparse signals. ISIT Tien-Ju Yang, Yi-Min Tsai, Chung-Te Li, Liang-Gee Chen
2011	A	`conf`	Smart display: A mobile self-adaptive projector-camera system. ICME Tien-Ju Yang, Yi-Min Tsai, Liang-Gee Chen