Yuanqiang Liu

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 11

Top Topics

Unsupervised Feature Learning

Weakly Supervised

Top Venues

Int. J. Softw. Informatics

Publications

Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin
Multi-resource interleaving for deep learning training. SIGCOMM (2022)
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 (2021)
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)
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)
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 (2021)
Mengwei Xu, Yuanqiang Liu, Kang Huang, Xuanzhe Liu, Gang Huang
Autonomous Learning System Towards Mobile Intelligence. Int. J. Softw. Informatics 11 (2) (2021)
Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. CoRR (2020)
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 (2020)
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)
Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu
A First Look at Deep Learning Apps on Smartphones. WWW (2019)
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 (2018)