Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks. - Likai Pei; Yifan Qin; Zephan M. Enciso; Boyang Cheng; Jianbo Liu; Steven Davis; Zhenge Jia; Michael T. Niemier; Yiyu Shi 001; Xiaobo Sharon Hu; Ningyuan Cao (ICCAD, 2024)

A Novel Digital-Controlled Current-Mode Single-Inductor-Multiple-Output Buck Converter With Individual Output Overload Protection. - Likai Pei; Xiaodong Meng; Xing Li 004 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

15.3 A 65nm Uncertainty-Quantifiable Ventricular Arrhythmia Detection Engine with 1.75µJ Per Inference. - Jianbo Liu; Zephan M. Enciso; Boyang Cheng; Likai Pei; Steven Davis; Yifan Qin; Zhenge Jia; Xiaobo Sharon Hu; Yiyu Shi 001; Ningyuan Cao (ISSCC, 2025)

A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation. - Zephan M. Enciso; Boyang Cheng; Likai Pei; Jianbo Liu; Steven Davis; Michael T. Niemier; Ningyuan Cao (CoRR, 2025)