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ORCIDYujun Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2020
[j7]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
:
Hardware-Centric AutoML for Mixed-Precision Quantization. Int. J. Comput. Vis. 128(8): 2035-2048 (2020)- [j6]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han:
AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro 40(1): 75-82 (2020) - [j5]Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang:
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4707-4720 (2020) - [c16]Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han:
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR 2020: 2075-2084 - [c15]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) 2020: 685-702 - [c14]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. ICLR 2020 - [c13]Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. NeurIPS 2020 - [i8]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. CoRR abs/2004.11886 (2020) - [i7]Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. CoRR abs/2007.10319 (2020) - [i6]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR abs/2007.16100 (2020) - [i5]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
Hardware-Centric AutoML for Mixed-Precision Quantization. CoRR abs/2008.04878 (2020)
2010 – 2019
- 2019
- [c12]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. CVPR 2019: 8612-8620 - [c11]Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang:
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC 2019: 56 - [c10]Shulin Zeng, Yujun Lin, Shuang Liang, Junlong Kang, Dongliang Xie, Yi Shan, Song Han, Yu Wang, Huazhong Yang:
A Fine-Grained Sparse Accelerator for Multi-Precision DNN. FPGA 2019: 185 - [c9]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. NeurIPS 2019: 963-973 - [i4]Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin:
Design Automation for Efficient Deep Learning Computing. CoRR abs/1904.10616 (2019) - [i3]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. CoRR abs/1907.03739 (2019) - 2018
- [j4]Zhijun Zhang, Yujun Lin, Shuai Li, Yuanqing Li, Zhuliang Yu, Yamei Luo:
Tricriteria Optimization-Coordination Motion of Dual-Redundant-Robot Manipulators for Complex Path Planning. IEEE Trans. Control. Syst. Technol. 26(4): 1345-1357 (2018) - [c8]Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang:
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. DAC 2018: 107:1-107:6 - [c7]Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally:
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) 2018 - [i2]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization. CoRR abs/1811.08886 (2018) - 2017
- [j3]Weiwu Yan, Di Tang, Yujun Lin:
A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application. IEEE Trans. Ind. Electron. 64(5): 4237-4245 (2017) - [c6]Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li:
On the Understanding of Interdependency of Mobile App Usage. MASS 2017: 471-475 - [c5]Yo-Hao Tu, Kai-Wen Yao, Minghao Huang, Yu-Yun Lin, Hao-Yu Chi, Po-Min Cheng, Pei-Yun Tsai, Muh-Tian Shiue, Chien-Nan Liu, Kuo-Hsing Cheng, Jia-Shiang Fu:
A body sensor node SoC for ECG/EMG applications with compressed sensing and wireless powering. VLSI-DAT 2017: 1-4 - [i1]Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally:
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. CoRR abs/1712.01887 (2017) - 2016
- [j2]Fengli Xu, Yu-Yun Lin, Jiaxin Huang, Di Wu, Hongzhi Shi, Jeungeun Song, Yong Li:
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. IEEE Trans. Serv. Comput. 9(5): 796-805 (2016) - 2015
- [c4]Yujun Lin, Weiwu Yan:
Study of soft sensor modeling based on deep learning. ACC 2015: 5830-5835 - 2014
- [j1]Lei Wang, Jui-Yu Yang, Yu-Yun Lin, Wei-Jun Lin:
Keeping Desired QoS by a Partial Coverage Algorithm for Cluster-Based Wireless Sensor Networks. J. Networks 9(12): 3221-3229 (2014) - [c3]Peng-Hsiang Kao, Xuan-Bo Wang, Yu-Yun Lin, Lei Wang:
Extending lifespan of a sensor network by partial coverage strategy. ICS 2014: 401-411 - 2012
- [c2]Yujun Lin, Ting Luo, Sheng Yao, Kaikai Mo, Tingting Xu, Caiming Zhong:
An improved clustering method based on k-means. FSKD 2012: 734-737 - [c1]Yujun Lin, Qiaodi Zhuang, Ran Yang:
Image reconstruction of dynamic MRI based on adaptive motion estimation. ICARCV 2012: 1586-1590
Coauthor Index
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