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Changxin Bai
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2020 – today
- 2023
- [j3]Junwen Liu
, Ziyun Xiao, Shiyong Lu, Dunren Che, Ming Dong, Changxin Bai
Infrastructure-level Support for GPU-Enabled Deep Learning in DATAVIEW. Future Gener. Comput. Syst. 141: 723-737 (2023) - [c6]Changxin Bai
A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution. SSE 2023: 98-103 - 2020
- [c5]Ishtiaq Ahmed, Saeid Mofrad
SEED: Confidential Big Data Workflow Scheduling with Intel SGX Under Deadline Constraints. SCC 2020: 108-115
2010 – 2019
- 2019
- [c4]Changxin Bai
LPOD: A Local Path Based Optimized Scheduling Algorithm for Deadline-Constrained Big Data Workflows in the Cloud. BigData Congress 2019: 35-44 - [c3]Jerome Dinal Herath, Changxin Bai
RAMP: Real-Time Anomaly Detection in Scientific Workflows. IEEE BigData 2019: 1367-1374 - [c2]Dinuni K. Fernando, Siddharth Kulshrestha, Jerome Dinal Herath, Nitin Mahadik, Yanzhe Ma, Changxin Bai
SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance. CIC 2019: 81-90 - 2018
- [c1]Ishtiaq Ahmed, Shiyong Lu, Changxin Bai
Diagnosis Recommendation Using Machine Learning Scientific Workflows. BigData Congress 2018: 82-90 - 2017
- [j2]Lu Wang, Lipi R. Acharya, Changxin Bai
Transcriptome assembly strategies for precision medicine. Quant. Biol. 5(4): 280-290 (2017) - 2016
- [j1]Yan Li, Changxin Bai
A distributed ensemble approach for mining healthcare data under privacy constraints. Inf. Sci. 330: 245-259 (2016)
Coauthor Index
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