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Ting-Wei Liu
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2020 – today
- 2021
- [c5]Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun:
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. CVPR 2021: 15699-15708 - [c4]Po-Tsang Huang, Ting-Wei Liu, Wei Lu, Yu-Hsien Lin, Wei Hwang:
An Energy-Efficient Ring-Based CIM Accelerator using High-Linearity eNVM for Deep Neural Networks. ISOCC 2021: 260-261 - 2020
- [c3]Yen-Hao Huang
, Ting-Wei Liu, Ssu-Rui Lee, Fernando Henrique Calderon Alvarado, Yi-Shin Chen:
Conquering Cross-source Failure for News Credibility: Learning Generalizable Representations beyond Content Embedding. WWW 2020: 774-784 - [i1]Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Bârsan, Wenyuan Zeng, Raquel Urtasun:
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks. CoRR abs/2010.15703 (2020)
2010 – 2019
- 2018
- [c2]Jenq-Haur Wang, Ting-Wei Liu, Xiong Luo, Long Wang:
An LSTM Approach to Short Text Sentiment Classification with Word Embeddings. ROCLING 2018: 214-223
2000 – 2009
- 2003
- [c1]Kual-Zheng Lee, Ting-Wei Liu, Shinn-Ying Ho:
Model-Based Pose Estimation of Human Motion Using Orthogonal Simulated Annealing. IDEAL 2003: 983-991
Coauthor Index
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