Yijing Gao

According to our database, Yijing Gao authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models.

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

IEEE Trans. Medical Imaging, February, 2024

Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics.

Phoebe Jing, Yijing Gao, Yuanhang Zhang, Xianlong Zeng

CoRR, 2024

A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation.

Phoebe Jing, Yijing Gao, Xianlong Zeng

CoRR, 2024

2023

Dynamic functional connectivity MEG features of Alzheimer's disease.

Huaqing Jin, Kamalini G. Ranasinghe, Pooja Prabhu, Corby Dale, Yijing Gao, Kiwamu Kudo, Keith Vossel, Ashish Raj, Srikantan S. Nagarajan, Fei Jiang

NeuroImage, November, 2023

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution.

Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan

IEEE Trans. Medical Imaging, September, 2023

Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise.

Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging.

Fei Jiang, Huaqing Jin, Yijing Gao, Xihe Xie, Jennifer Cummings, Ashish Raj, Srikantan S. Nagarajan

NeuroImage, 2022

Empirical Bayesian localization of event-related time-frequency neural activity dynamics.

Chang Cai, Leighton B. N. Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2022

2021

Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.

Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021