Efficient Event-Driven Simulation of Excitable Hybrid Automata. - Mike R. True; Emilia Entcheva; Scott A. Smolka; Pei Ye; Radu Grosu (EMBC, 2006)

A Cycle-Linear Approach to Modeling Action Potentials. - Pei Ye; Emilia Entcheva; Scott A. Smolka; Mike R. True; Radu Grosu (EMBC, 2006)

Hybrid Automata as a Unifying Framework for Modeling Excitable Cells. - Pei Ye; Emilia Entcheva; Scott A. Smolka; Mike R. True; Radu Grosu (EMBC, 2006)

Learning Cycle-Linear Hybrid Automata for Excitable Cells. - Radu Grosu; Sayan Mitra; Pei Ye; Emilia Entcheva; I. V. Ramakrishnan; Scott A. Smolka (HSCC, 2007)

Formal Analysis of Abnormal Excitation in Cardiac Tissue. - Pei Ye; Radu Grosu; Scott A. Smolka; Emilia Entcheva (CMSB, 2008)

Parameter estimation of QFM signal based on MPKF. - Pei Ye; Huan Deng; Yachao Li; Mengqi Liu; Shengtao Yu; Yinghui Quan; Mengdao Xing (Digit. Signal Process., 2018)

ISAR Signal Tracking and High-Resolution Imaging by Kalman Filtering. - Pei Ye; Mengdao Xing; Xiang-Gen Xia 001; Guang-Cai Sun; Yachao Li; Yuexin Gao (Remote. Sens., 2021)

Improving IPC Video Lag in CCTV Systems by Machine Learning and Software Defined Networks. - Wei Chen; Jiachen Luo; Yihuang Luo; Pei Ye (ICCCS, 2023)

Fusion of Convolution Neural Network and Visual Transformer for Lithology Identification Using Tunnel Face Images. - Jianjun Tong; Lulu Xiang; Allen A. Zhang; Xingwang Miao; Mingnian Wang; Pei Ye (J. Comput. Civ. Eng., 2025)

Enhanced Clutter Suppression and GMTIm Algorithm With Modified DKP and NCS for Single-Channel Spaceborne- Maneuvering BFSAR. - Yuzhou Liu; Xuan Song 002; Yachao Li; Yitao Wang; Yanhong Guo; Pei Ye; Xuanqi Wang; Guangming Shi (IEEE Trans. Geosci. Remote. Sens., 2025)

Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks. - Songbin Liu; Zhaoshun Jiang; Pei Ye; Feidong Lv; Fei Tao; Yuxi Cai; Lina Yi; Shihong Li; Guoqing Wu; Jun Zhang; Weidong Gu (BMC Medical Imaging, 2025)