Implementation of a FPGA-Based Feature Detection and Networking System for Real-time Traffic Monitoring. - Jieshi Chen; Benjamin Carrión Schäfer; Ivan Wang Hei Ho (CoRR, 2016)

Novel Prediction Techniques Based on Clusterwise Linear Regression. - Igor Gitman; Jieshi Chen; Eric Lei; Artur Dubrawski (CoRR, 2018)

Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. - David Bethge; Jieshi Chen; Oliver Grothe; Jonathan Elmer; Artur Dubrawski (ICDM Workshops, 2019)

Statistical outbreak detection by joining medical records and pathogen similarity. - James Kyle Miller; Jieshi Chen; Alexander Sundermann; Jane W. Marsh; Melissa I. Saul; Kathleen A. Shutt; Marissa Pacey; Mustapha M. Mustapha; Lee H. Harrison; Artur Dubrawski (J. Biomed. Informatics, 2019)

Accurate characterization of weld appearance induced by T-joint laser stake-welding by integration of ANFIS approach and numerical simulation. - Di Wu 020; Jieshi Chen; Hongbing Liu; Peilei Zhang; Zhishui Yu (J. Intell. Fuzzy Syst., 2019)

Using Machine Learning to Support Transfer of Best Practices in Healthcare. - Sebastian Caldas; Jieshi Chen; Artur Dubrawski (AMIA, 2021)

Classifying Unstructured Clinical Notes via Automatic Weak Supervision. - Chufan Gao; Mononito Goswami; Jieshi Chen; Artur Dubrawski (MLHC, 2022)

Optimization of laser spiral welding using Response surface methodology and genetic algorithms. - Bin Zhou; Jieshi Chen; Yang Zhang; Shanglei Yang; Hao Lu (J. Intell. Fuzzy Syst., 2023)

Multimodal Structure Preservation Learning. - Chang Liu; Jieshi Chen; Lee H. Harrison; Artur Dubrawski (CoRR, 2024)

Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection. - Chang Liu; Jieshi Chen; Lee H. Harrison; Artur Dubrawski (CHIL, 2025)