Junfeng Liu

11 papers A* 1A 1B 2Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2021 — conf
GPU resource scheduling using CNN-based deep reinforcement learning.
CASCON
Xingye Fan, Zana Rashidi, Bon Ryu, Hossein Pourmodheji, Aijun An, Junfeng Liu, Yonggang Hu
2021 B conf
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model.
DSAA
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu
2021 J jnl
ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model.
Mach. Learn.
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu
2020 J jnl
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning.
CoRR
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu
2020 — conf
Multiple pedestrian tracking based on modified mask R-CNN and enhanced particle filter using an adaptive information driven motion model.
CASCON
Mufleh Al-Shatnawi, Amir Asif, Vida Movahedi, Aijun An, Yonggang Hu, Junfeng Liu
2020 — conf
Towards topology aware pre-emptive job scheduling with deep reinforcement learning.
CASCON
Bon Ryu, Aijun An, Zana Rashidi, Junfeng Liu, Yonggang Hu
2019 B conf
Dynamic Graph Embedding via LSTM History Tracking.
DSAA
Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu
2019 J jnl
Dynamic Graph Embedding via LSTM History Tracking.
CoRR
Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu
2019 A conf
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning.
ICDCS
Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen
2019 J jnl
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning.
CoRR
Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen
2019 A* conf
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning.
ICDM
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu