Jianing Bai 白佳凝

This is Jianing Bai’s personal homepage.

A short introduction

Jianing Bai is a Ph.D. student in Computer Science at The University of Texas at Arlington (UTA). Her research focuses on artificial intelligence for healthcare, particularly medical image analysis, multimodal neuroimaging, and machine learning for neurological disorders. Her current work explores the integration of structural MRI, PET imaging, and clinical information to model and predict cognitive decline and Alzheimer’s disease progression.

Publications

Jianing Bai, Ren Wang, and Zuyi Li. Physics-Constrained Backdoor Attacks on Power System Fault Localization. IEEE Power and Energy Society General Meeting 2023, IEEE. Download paper here

Jianing Bai, Tianhao Zhang, Chen Wang, and Guangming Xie. MA-CC: Cross-Layer Congestion Control via Multi-Agent Reinforcement Learning. Computing Conference 2023, Springer. Download paper here

Yan Cao, Zhijun Jin, Rukai Zhu, Kouqi Liu, and Jianing Bai. Comprehensive Evaluation of the Organic-Rich Saline Lacustrine Shale in the Lucaogou Formation, Jimusar Sag, Junggar Basin, NW China. Energy 2024, Elsevier. Download paper here

Miscellaneous

I’m also engaged (but an amateur) in Yoga / Guitar.

For more information

More info about Jianing Bai can be found in CV.