High-performance Architecture of Network Intrusion Prevention Systems. - Yueai Zhao; Pengcheng Hou; Ling Wang; Suqing Han (EAI Endorsed Trans. Scalable Inf. Syst., 2014)

Design of A Holistic Thoracoabdominal Phantom for Respiration Tracking Test in Robotic Radiosurgery*. - Pengcheng Hou; Rongchuan Sun; Shumei Yu; Lining Sun (ICARM, 2018)

Correlation between Thoracic-abdominal Surface and Tumor Motion based on 3D Point Cloud: A Preliminary Study. - Pengcheng Hou; Rongchuan Sun; Shumei Yu; Shaolong Kuang; Lining Sun (ICIA, 2018)

Two Dimensional Indoor Localization with Multiple Leaky Coaxial Cables. - Junjie Zhu; Pengcheng Hou; Yafei Hou; Satoshi Denno; Minoru Okada (GCCE, 2020)

Correlated Skin Surface and Tumor Motion Modeling for Treatment Planning in Robotic Radiosurgery. - Shumei Yu; Pengcheng Hou; Rongchuan Sun; Shaolong Kuang; Fengfeng Zhang; Mingchuan Zhou; Jing Guo; Lining Sun (Frontiers Neurorobotics, 2020)

RSSI-Based Indoor Localization Using Leaky Coaxial Cable with a PNN Approach. - Junjie Zhu; Pengcheng Hou; Kenta Nagayama; Yafei Hou; Satoshi Denno (GCCE, 2021)

Prediction Evaluation for RSSI Data Generated from Leaky Coaxial Cables over Indoor Environment. - Pengcheng Hou; Junjie Zhu; Kenta Nagayama; Yafei Hou; Satoshi Denno (ICCE, 2022)

A Proposal of Spatial Modulation Using On/Off the Slots of Leaky Coaxial Cable. - Kenta Nagayama; Junjie Zhu; Pengcheng Hou; Yafei Hou; Satoshi Denno (LifeTech, 2022)

Indoor Simultaneous TOA Estimation of Multiple Users Using Leaky Coaxial Cable. - Junjie Zhu; Erika Kouda; Pengcheng Hou; Kenta Nagayama; Yafei Hou; Satoshi Denno (LifeTech, 2022)

Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network. - Junjie Zhu; Pengcheng Hou; Kenta Nagayama; Yafei Hou; Satoshi Denno; Rian Ferdian (IEEE Access, 2022)

Feynman Diagrams as Computational Graphs. - Pengcheng Hou; Tao Wang; Daniel Cerkoney; Xiansheng Cai; Zhiyi Li; Youjin Deng; Lei Wang; Kun Chen (CoRR, 2024)

ES-NeRF: Enhancing Segmentation in NeRF with CLIP. - Chong Zhao; Pengcheng Hou; Yan Zhai; Xing Wei; Fan Yang; Xiang Bi (ICASSP, 2025)