About Me
Rao
I am currently working as a vice president software enginer for risk analytics, modeling, and validation in Consumer Risk and FinCRO Project mangement, a division of Citiβs Risk Management organization.
I am currently working as a vice president software enginer for risk analytics, modeling, and validation in Consumer Risk and FinCRO Project mangement, a division of Citiβs Risk Management organization.
I was pursuing my bachelor of science (B.S.) in Electrical and Information Engineering at Wuhan University of Science and Technology.
September 2008 to June 2012Designed embedding algorithms of microcontroller and FPGA to generate arbitrary waveform and measure precise frequencies of input signals; Won the provincial third prize at 2011 National Undergraduate Electronics Design Contest
September 2010 to June 2012I was pursuing my minor bachelor of arts (B.A.) in Public Administration at Huazhong University of Science and Technology.
September 2010 to June 2012Awarded 22ππ R & D Honor due to developing a new and faster direct memory access (DMA) model and collaborating with Linux kernel upstream on providing efficient solutions to the Linux kernel issues
February 2012 to March 2014Analyzed requirements of all departments to improve their business processes and determine the technology needs; Received the outstanding staff award in 2014 for coordinating IT resources to increase employee efficiency
March 2014 to Augest 2015I was pursuing my master of science (M.S.) in computer science at University of Central Florida.
Augest 2015 to May 2017Innovating techniques of program analysis and deep learning (e.g., Transformer, RNN, ResNet) towards efficient and intelligent big data systems (e.g., Apache Spark) as well as neural repair models for big code
July 2016 to May 2022I worked as a graduate teaching assistant for the course of COP4020 Functional Programming Languages
Augest 2017 to December 2018Deployed and maintained big data (e.g., Apache Spark) and deep learning infrastructures for researchers; provided systematic technical support in developing efficient algorithms of big data and deep learning to perform social media analytics tasks
May 2019 to Augest 2019Investigated Transformer-based and GAN-based neural models for inertial navigation using IMU measurements and synthesizing tabular data without leaking any sensitive information, respectively
July 2020 to July 2021Design and optimize a framework for model driven computations using knowledge of compiler, graph and grid computing, data storage and access.
May 2022 to Augest Present
2022:
Bug2Fix: An Enhanced Transformer Model with Context-Aware Alignment for Automated Program RepairBingbing Rao, Jie Yao, Weiwei Xing, Liqiang Wang[Under Review] |
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CTIN: Robust Contextual Transformer Network for Inertial NavigationBingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M Shila, Frank M. Tucker Liqiang WangIn Proceedings of the AAAI Conference on Artificial Intelligence, 2022[Project page] [Paper] [Code] [Citation] |
2021:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program AnalysisBingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang WangIn IEEE 14th International Conference on Cloud Computing (CLOUD), pages 433β444, 2021.[Paper] [Slide] [Citation] |
2019:
Interaction models for detecting nodal activities in temporal social media networksWinyan Chung, Bingbing Rao, Liqiang WangACM Transactions on Management Information Systems (TMIS), 10(4):1β30, 2019.[Paper] [Citation] |
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LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with SparkSiyang Lu, Xiang Wei, Bingbing Rao, Byungchul Tak, Long Wang, Liqiang WangFuture Generation Computer Systems, 95:392β403, 2019[Paper] [Citation] |
2018:
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing EnvironmentZixia Liu, Hong Zhang, Bingbing Rao, Liqiang WangIn IEEE International Conference on Big Data (Big Data), pages 252β261, 2018[Paper] [Citation] |
2017:
A Survey of Semantics-Aware Performance Optimization for Data-Intensive ComputingBingbing Rao, Liqiang WangIn IEEE Cyber Science and Technology Congress (CyberSciTech), pages 81β88, 2017[Paper] [Citation] |
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Log-based Abnormal Task Detection and Root Cause Analysis for SparkSiyang Lu,Bingbing Rao, Xiang Wei, Byungchul Tak, Long Wang, Liqiang WangIn the the 24th IEEE International Conference on Web Services (ICWS), pages 389β396, 2017.[Paper] [Citation] |
2016:
Dynamic Trend Detection in U.S. Border Security Social-Media NetworksWingyan Chung, Bingbing Rao, Liqiang WangIn Interservice/Industry Training, Simulation and Education Conference, 2016[Paper] [Slide] [Citation] |
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© 2022 Bingbing Rao
