Trend of Intelligent Robot Application Based on Intelligent Agriculture System. - Xia Han; Lu Xu; Yifei Peng; Zefeng Wang (AIAM (IEEE), 2021)

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings. - Yifei Peng; Yu Jin; Zhexu Luo; Yao-Xiang Ding 001; Wang-Zhou Dai; Zhong Ren 001; Kun Zhou 001 (CoRR, 2023)

Recent Advances in Time-Sensitive Network Configuration Management: A Literature Review. - Boxin Shi; Xiaodong Tu; Bin Wu; Yifei Peng (J. Sens. Actuator Networks, 2023)

A Survey on In-Vehicle Time-Sensitive Networking. - Yifei Peng; Boxin Shi; Tigang Jiang; Xiaodong Tu; Du Xu; Kun Hua (IEEE Internet Things J., 2023)

Exploration of Influencing Factors of Land Surface Temperature in Cities Within the Beijing-Tianjin-Hebei Region Based on Local Climate Zone Scheme. - Zheng Wang; Yifei Peng; Youfang Li; Xilin Zhou; Yuquan Xie (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

ESC-YOLO: optimizing apple fruit recognition with efficient spatial and channel features in YOLOX. - Jun Sun; Yifei Peng; Chen Chen; Bing Zhang; Zhaoqi Wu; Yilin Jia; Lei Shi (J. Real Time Image Process., 2024)

Material-Driven Mechanical Programming of Soft Robotic Tentacles. - Yao Lu; Asmaa Amraouza; Yifei Peng; Dan Li; John Nassour; Gordon Cheng (SII, 2025)

Gl-MambaNet: A global-local hybrid Mamba network for medical image segmentation. - Xiaoyan Kui; Shen Jiang; Qinsong Li; Yifei Peng; Zhipeng Hu; Beiji Zou 001 (Neurocomputing, 2025)

KDFF-DETR: Knowledge-Driven Feature Fusion DETR for Spaceborne Infrared Ship Detection. - Yifei Peng; Ze Tao; Jian Zhang 048; Rongchang Zhao; Chao Liu 058; Hui Sun (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Spatial Differentiation of Ecological Environment Quality and the Influencing Factors in Cities Within the Beijing-Tianjin-Hebei Region Based on LCZ and RSEI. - Chaoguang Zhang; Zheng Wang; Jinze Wang; Xiaoying Ding; Yifei Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning. - Yu Jin; Jingming Liu; Zhexu Luo; Yifei Peng; Ziang Qin; Wang-Zhou Dai; Yao-Xiang Ding 001; Kun Zhou 001 (CoRR, 2025)