Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach. - Yanbo Pang; Kota Tsubouchi; Takahiro Yabe; Yoshihide Sekimoto (PredictGIS@SIGSPATIAL, 2017)

Replicating urban dynamics by generating human-like agents from smartphone GPS data. - Yanbo Pang; Kota Tsubouchi; Takahiro Yabe; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2018)

A Power-Enhanced Active Rectifier with Offset-Controlled Comparator for Self-Powered PEH Systems. - Lianxi Liu; Yanbo Pang; Xufeng Liao; Zhangming Zhu; Yintang Yang (J. Circuits Syst. Comput., 2018)

Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning. - Yanbo Pang; Kota Tsubouchi; Takahiro Yabe; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2020)

Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. - Yanbo Pang; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2021)

Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics. - Mingfei Cai; Yanbo Pang; Takehiro Kashiyama; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2021)

Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. - Mingfei Cai; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2022)

Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. - Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2022)

Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. - Aayush Tewari; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2022)

Throughput-Constrained Energy Efficiency Optimization for CSMA Networks. - Yanbo Pang; Wen Zhan; Xinghua Sun; Zhiyong Luo; Yue Zhang (GLOBECOM, 2022)

Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data. - Takehiro Kashiyama; Yanbo Pang; Yoshihide Sekimoto; Takahiro Yabe (CoRR, 2022)

Adaptive multilabel image segmentation model with prior constraints based on geometric structure characteristics. - Yuzhu Tian; Liping Pang 001; Yanbo Pang; Hongwei Zhang (J. Electronic Imaging, 2022)

Trajectory Tracking Control for Robot Manipulator Under Dynamic Environment. - Yushi Wang; Yanbo Pang; Qingkai Li; Wenhan Cai; Mingguo Zhao (ICIRA (4), 2023)

Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling. - Kunyi Zhang; Yanbo Pang; Yoshihide Sekimoto (ITSC, 2023)

A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data. - Ziheng Liu; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2024)

Agentic Large Language Models for Generating Large-Scale Urban Daily Activity Patterns. - Yurong Zhang; Kunyi Zhang; Yanbo Pang; Yoshihide Sekimoto (IEEE Big Data, 2024)

Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction. - Mingfei Cai; Yanbo Pang; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2024)

MobGLM: A Large Language Model for Synthetic Human Mobility Generation. - Kunyi Zhang; Yanbo Pang; Yurong Zhang; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2024)

CBMC-V2: A CNS-inspired Framework for Real-time Robotic Arm Control. - Yanbo Pang; Qingkai Li; Yushi Wang; Mingguo Zhao (Humanoids, 2024)

Nationwide synthetic human mobility dataset construction from limited travel surveys and open data. - Takehiro Kashiyama; Yanbo Pang; Yuya Shibuya; Takahiro Yabe; Yoshihide Sekimoto (Comput. Aided Civ. Infrastructure Eng., 2024)