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Tan Sia Huat
Tan Sia Huat
Master student at Tsinghua University
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Non-structured DNN weight pruning—Is it beneficial in any platform?
X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ...
IEEE transactions on neural networks and learning systems 33 (9), 4930-4944, 2021
832021
Light-weight calibrator: a separable component for unsupervised domain adaptation
S Ye, K Wu, M Zhou, Y Yang, SH Tan, K Xu, J Song, C Bao, K Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
312020
Pcnn: Pattern-based fine-grained regular pruning towards optimizing cnn accelerators
Z Tan, J Song, X Ma, SH Tan, H Chen, Y Miao, Y Wu, S Ye, Y Wang, D Li, ...
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
232020
Potential drug discovery for COVID-19 treatment targeting Cathepsin L using a deep learning-based strategy
WL Yang, Q Li, J Sun, SH Tan, YH Tang, MM Zhao, YY Li, X Cao, JC Zhao, ...
Computational and Structural Biotechnology Journal 20, 2442-2454, 2022
152022
An unsupervised deep learning approach for real-world image denoising
D Zheng, SH Tan, X Zhang, Z Shi, K Ma, C Bao
International Conference on Learning Representations, 2020
152020
Non-structured dnn weight pruning considered harmful
Y Wang, S Ye, Z He, X Ma, L Zhang, S Lin, G Yuan, SH Tan, Z Li, D Fan, ...
arXiv preprint arXiv:1907.02124 2, 2019
122019
Brain-inspired reverse adversarial examples
S Ye, SH Tan, K Xu, Y Wang, C Bao, K Ma
arXiv preprint arXiv:1905.12171, 2019
52019
Multi-glimpse network: A robust and efficient classification architecture based on recurrent downsampled attention
SH Tan, R Dong, K Ma
arXiv preprint arXiv:2111.02018, 2021
32021
A 400MHz NPU with 7.8TOPS2/W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel …
Z Tan, SH Tan, JH Lambrechts, Y Zhang, Y Wu, K Ma
2021 IEEE Custom Integrated Circuits Conference (CICC), 1-2, 2021
22021
CORSD: Class-Oriented Relational Self Distillation
M Yu, SH Tan, K Wu, R Dong, L Zhang, K Ma
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
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