Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. - Ali Hashemi 002; Yijing Gao; Chang Cai; Sanjay Ghosh; Klaus-Robert Müller; Srikantan S. Nagarajan; Stefan Haufe (NeurIPS, 2021)

Empirical Bayesian localization of event-related time-frequency neural activity dynamics. - Chang Cai; Leighton B. N. Hinkley; Yijing Gao; Ali Hashemi 002; Stefan Haufe; Kensuke Sekihara; Srikantan S. Nagarajan (NeuroImage, 2022)

Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging. - Fei Jiang 003; Huaqing Jin; Yijing Gao; Xihe Xie; Jennifer Cummings; Ashish Raj; Srikantan S. Nagarajan (NeuroImage, 2022)

Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise. - Sanjay Ghosh; Chang Cai; Yijing Gao; Ali Hashemi 002; Stefan Haufe; Kensuke Sekihara; Ashish Raj; Srikantan S. Nagarajan (ISBI, 2023)

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. - Chang Cai; Yuanshun Long; Sanjay Ghosh; Ali Hashemi 002; Yijing Gao; Mithun Diwakar; Stefan Haufe; Kensuke Sekihara; Wei Wu 022; Srikantan S. Nagarajan (IEEE Trans. Medical Imaging, 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 003 (NeuroImage, 2023)

A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation. - Phoebe Jing; Yijing Gao; Xianlong Zeng (CoRR, 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)

Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. - Ali Hashemi 002; Chang Cai; Yijing Gao; Sanjay Ghosh; Klaus-Robert Müller; Srikantan S. Nagarajan; Stefan Haufe (IEEE Trans. Medical Imaging, 2024)