Bingbing Rao

11 papers A* 1A 1B 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network.
J. Circuits Syst. Comput.
Jie Yao, Bingbing Rao, Weiwei Xing, Liqiang Wang
2022 A* conf
CTIN: Robust Contextual Transformer Network for Inertial Navigation.
AAAI
Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang
2021 J jnl
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing.
CoRR
Bingbing Rao, Liqiang Wang
2021 J jnl
CTIN: Robust Contextual Transformer Network for Inertial Navigation.
CoRR
Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang
2021 B conf
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CLOUD
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2021 J jnl
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CoRR
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2019 J jnl
Interaction Models for Detecting Nodal Activities in Temporal Social Media Networks.
ACM Trans. Manag. Inf. Syst.
Wingyan Chung, Bingbing Rao, Liqiang Wang
2019 J jnl
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark.
Future Gener. Comput. Syst.
Siyang Lu, Xiang Wei, Bingbing Rao, Byung-Chul Tak, Long Wang, Liqiang Wang
2018 — conf
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment.
IEEE BigData
Zixia Liu, Hong Zhang, Bingbing Rao, Liqiang Wang
2017 — conf
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing.
DASC/PiCom/DataCom/CyberSciTech
Bingbing Rao, Liqiang Wang
2017 A conf
Log-based Abnormal Task Detection and Root Cause Analysis for Spark.
ICWS
Siyang Lu, Bingbing Rao, Xiang Wei, Byung-Chul Tak, Long Wang, Liqiang Wang