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2020 – today
- 2022
[c5]Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin:
Multi-resource interleaving for deep learning training. SIGCOMM 2022: 428-440- 2021
- [j2]Mengwei Xu, Yuanqiang Liu, Kang Huang, Xuanzhe Liu, Gang Huang:
Autonomous Learning System Towards Mobile Intelligence. Int. J. Softw. Informatics 11(2): 149-168 (2021) - [c4]Zhenpeng Chen
, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. ICSE 2021: 674-685 - [c3]Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu:
Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. EMDL@MobiSys 2021: 31-36 - [i4]Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. CoRR abs/2101.04930 (2021) - [i3]Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu:
Demystifying Developers' Issues in Distributed Training of Deep Learning Software. CoRR abs/2112.06222 (2021) - 2020
- [j1]Yanjie Song, Han Zhang, Yuanqiang Liu, Jinzhang Liu, Hongbo Zhang, Xiuguang Song:
Background Filtering and Object Detection With a Stationary LiDAR Using a Layer-Based Method. IEEE Access 8: 184426-184436 (2020) - [c2]Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu:
A comprehensive study on challenges in deploying deep learning based software. ESEC/SIGSOFT FSE 2020: 750-762 - [i2]Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu:
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. CoRR abs/2005.00760 (2020)
2010 – 2019
- 2019
- [c1]Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu:
A First Look at Deep Learning Apps on Smartphones. WWW 2019: 2125-2136 - 2018
- [i1]Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu:
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning. CoRR abs/1812.05448 (2018)
Coauthor Index
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