When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning. - Mengwei Xu; Jiawei Liu; Yuanqiang Liu; Felix Xiaozhu Lin; Yunxin Liu 001; Xuanzhe Liu (CoRR, 2018)

A First Look at Deep Learning Apps on Smartphones. - Mengwei Xu; Jiawei Liu; Yuanqiang Liu; Felix Xiaozhu Lin; Yunxin Liu 001; Xuanzhe Liu (WWW, 2019)

A comprehensive study on challenges in deploying deep learning based software. - Zhenpeng Chen; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Tao Xie 001; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2020)

Background Filtering and Object Detection With a Stationary LiDAR Using a Layer-Based Method. - Yanjie Song 003; Han Zhang 039; Yuanqiang Liu; Jinzhang Liu; Hongbo Zhang; Xiuguang Song (IEEE Access, 2020)

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. - Zhenpeng Chen; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Tao Xie 001; Xuanzhe Liu (CoRR, 2020)

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. - Zhenpeng Chen; Huihan Yao; Yiling Lou; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Xuanzhe Liu (ICSE, 2021)

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. - Dongqi Cai 001; Qipeng Wang; Yuanqiang Liu; Yunxin Liu 001; Shangguang Wang; Mengwei Xu (EMDL@MobiSys, 2021)

Demystifying Developers' Issues in Distributed Training of Deep Learning Software. - Diandian Gu; Zhenpeng Chen; Yuanqiang Liu; Zili Zhang; Yun Ma 002; Xin Jin 008; Xuanzhe Liu (CoRR, 2021)

Autonomous Learning System Towards Mobile Intelligence. - Mengwei Xu; Yuanqiang Liu; Kang Huang; Xuanzhe Liu; Gang Huang 001 (Int. J. Softw. Informatics, 2021)

Multi-resource interleaving for deep learning training. - Yihao Zhao; Yuanqiang Liu; Yanghua Peng; Yibo Zhu; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2022)