A distributed ensemble approach for mining healthcare data under privacy constraints. - Yan Li 052; Changxin Bai; Chandan K. Reddy (Inf. Sci., 2016)

Transcriptome assembly strategies for precision medicine. - Lu Wang 004; Lipi R. Acharya; Changxin Bai; Dongxiao Zhu (Quant. Biol., 2017)

Diagnosis Recommendation Using Machine Learning Scientific Workflows. - Ishtiaq Ahmed; Shiyong Lu; Changxin Bai; Fahima Amin Bhuyan (BigData Congress, 2018)

LPOD: A Local Path Based Optimized Scheduling Algorithm for Deadline-Constrained Big Data Workflows in the Cloud. - Changxin Bai; Shiyong Lu; Ishtiaq Ahmed; Dunren Che; Aravind Mohan (BigData Congress, 2019)

RAMP: Real-Time Anomaly Detection in Scientific Workflows. - Jerome Dinal Herath; Changxin Bai; Guanhua Yan; Ping Yang 002; Shiyong Lu (IEEE BigData, 2019)

SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance. - Dinuni K. Fernando; Siddharth Kulshrestha; Jerome Dinal Herath; Nitin Mahadik; Yanzhe Ma; Changxin Bai; Ping Yang 002; Guanhua Yan; Shiyong Lu (CIC, 2019)

SEED: Confidential Big Data Workflow Scheduling with Intel SGX Under Deadline Constraints. - Ishtiaq Ahmed; Saeid Mofrad; Shiyong Lu; Changxin Bai; Fengwei Zhang; Dunren Che (SCC, 2020)

A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution. - Changxin Bai; Junwen Liu; Anik Tahabilder; M. M. Imran; Shiyong Lu; Dunren Che (SSE, 2023)

Infrastructure-level Support for GPU-Enabled Deep Learning in DATAVIEW. - Junwen Liu; Ziyun Xiao; Shiyong Lu; Dunren Che; Ming Dong 001; Changxin Bai (Future Gener. Comput. Syst., 2023)

Integration of Blockchain Technology in Collaborative Scientific Workflows. - Shiyong Lu; Junwen Liu; Yong Zhao 009; Changxin Bai (IEEE Big Data, 2024)