Field of experts: Optimal structured Bayesian compressed sensing. - Xinjie Lan; Kenneth E. Barner (GlobalSIP, 2017)

From MRFS to CNNS: A novel image restoration method. - Xinjie Lan; Kenneth E. Barner (CISS, 2018)

Regularization Learning for Image Recognition. - Xinjie Lan; Kenneth E. Barner (ICMLA, 2019)

A synthetic dataset for deep learning. - Xinjie Lan (CoRR, 2019)

A Probabilistic Representation of Deep Learning. - Xinjie Lan; Kenneth E. Barner (CoRR, 2019)

Explicitly Bayesian Regularizations in Deep Learning. - Xinjie Lan; Kenneth E. Barner (CoRR, 2019)

Multi-rate Attention Based GRU Model for Engagement Prediction. - Bin Zhu; Xinjie Lan; Xin Guo 007; Kenneth E. Barner; Charles Boncelet (ICMI, 2020)

PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons. - Xinjie Lan; Xin Guo 007; Kenneth E. Barner (CoRR, 2020)

A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability. - Xinjie Lan; Kenneth E. Barner (CoRR, 2020)

An Information Theoretic Defense Algorithm against Adversarial Attacks on Deep Learning. - Xinjie Lan; Samet Bayram; Kenneth E. Barner (AISS, 2021)

Beyond the Bias Variance Trade-Off: A Mutual Information Trade-Off in Deep Learning. - Xinjie Lan; Bin Zhu; Charles Boncelet; Kenneth E. Barner (MLSP, 2021)

A Probabilistic Representation of DNNs: Bridging Mutual Information and Generalization. - Xinjie Lan; Kenneth E. Barner (CoRR, 2021)