A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing. - BingBing Rao; Liqiang Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2017)

Log-based Abnormal Task Detection and Root Cause Analysis for Spark. - Siyang Lu; BingBing Rao; Xiang Wei 007; Byung-Chul Tak; Long Wang 003; Liqiang Wang 001 (ICWS, 2017)

A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment. - Zixia Liu; Hong Zhang 047; BingBing Rao; Liqiang Wang 001 (IEEE BigData, 2018)

LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark. - Siyang Lu; Xiang Wei 007; Bingbing Rao; Byung-Chul Tak; Long Wang 003; Liqiang Wang 001 (Future Gener. Comput. Syst., 2019)

Interaction Models for Detecting Nodal Activities in Temporal Social Media Networks. - Wingyan Chung; Bingbing Rao; Liqiang Wang 001 (ACM Trans. Manag. Inf. Syst., 2019)

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. - Bingbing Rao; Zixia Liu; Hong Zhang 047; Siyang Lu; Liqiang Wang 001 (CLOUD, 2021)

CTIN: Robust Contextual Transformer Network for Inertial Navigation. - Bingbing Rao; Ehsan Kazemi 003; Yifan Ding; Devu M. Shila; Frank M. Tucker; Liqiang Wang 001 (AAAI, 2022)

Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network. - Jie Yao; Bingbing Rao; Weiwei Xing; Liqiang Wang 001 (J. Circuits Syst. Comput., 2022)