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Ran Chen
Ran Chen
Huawei Noah's Ark Lab HKRC
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
Pcl: Proxy-based contrastive learning for domain generalization
X Yao, Y Bai, X Zhang, Y Zhang, Q Sun, R Chen, R Li, B Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
812022
Faster region-based hotspot detection
R Chen, W Zhong, H Yang, H Geng, X Zeng, B Yu
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
532019
VLSI mask optimization: From shallow to deep learning
H Yang, W Zhong, Y Ma, H Geng, R Chen, W Chen, B Yu
Integration 77, 96-103, 2021
212021
A unified approximation framework for compressing and accelerating deep neural networks
Y Ma, R Chen, W Li, F Shang, W Yu, M Cho, B Yu
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
162019
Dive deeper into box for object detection
R Chen, Y Liu, M Zhang, S Liu, B Yu, YW Tai
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
142020
Fit: Fill insertion considering timing
B Jiang, X Zhang, R Chen, G Chen, P Tu, W Li, EFY Young, B Yu
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
122019
Hotspot detection via multi-task learning and transformer encoder
B Zhu, R Chen, X Zhang, F Yang, X Zeng, B Yu, MDF Wong
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-8, 2021
92021
A unified framework for layout pattern analysis with deep causal estimation
R Chen, S Hu, Z Chen, S Zhu, B Yu, P Li, C Chen, Y Huang, J Hao
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
82022
Learning point clouds in eda
W Li, G Chen, H Yang, R Chen, B Yu
Proceedings of the 2021 International Symposium on Physical Design, 55-62, 2021
62021
A unified approximation framework for deep neural networks
Y Ma, R Chen, W Li, F Shang, W Yu, M Cho, B Yu
arXiv preprint arXiv:1807.10119, 2018
32018
IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration
Z Yu, C Bail, S Hu, R Chen, T He, M Yuan, B Yu, M Wong
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
22023
Small is beautiful: Compressing deep neural networks for partial domain adaptation
Y Ma, X Yao, R Chen, R Li, X Shen, B Yu
IEEE Transactions on Neural Networks and Learning Systems, 2022
12022
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