Yang, Tien-Ju

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Sze, V., Chen, Y.-H., Yang, T.-J., & Emer, J. S. (2017) · Proceedings of the IEEE

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 4,215

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

Yang, T.-J., Chen, Y.-H., & Sze, V. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGreen IT and Sustainability

Cited by 732

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Yang, T.-J., Howard, A., Chen, B., Zhang, X., Go, A., Sandler, M., Sze, V., & Adam, H. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 572

SegSort: Segmentation by Discriminative Sorting of Segments

Hwang, J.-J., Yu, S., Shi, J., Collins, M., Yang, T.-J., Zhang, X., & Chen, L.-C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 124

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

Sze, V., Chen, Y.-H., Yang, T.-J., & Emer, J. S. (2020) · IEEE Solid-State Circuits Magazine

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 80

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

Yang, T.-J., & Sze, V. (2019) · 2019 IEEE International Electron Devices Meeting (IEDM)

Parallel Computing and Optimization TechniquesAdvanced Memory and Neural Computing

Cited by 55