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2020 – today
- 2024
[j3]Takehiro Kashiyama, Yanbo Pang, Yuya Shibuya, Takahiro Yabe, Yoshihide Sekimoto:
Nationwide synthetic human mobility dataset construction from limited travel surveys and open data. Comput. Aided Civ. Infrastructure Eng. 39(21): 3337-3353 (2024)- [c16]Yurong Zhang, Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto:
Agentic Large Language Models for Generating Large-Scale Urban Daily Activity Patterns. IEEE Big Data 2024: 6815-6822 - [c15]Ziheng Liu, Yanbo Pang, Yoshihide Sekimoto:
A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data. IEEE Big Data 2024: 6834-6841 - [c14]Mingfei Cai
, Yanbo Pang, Yoshihide Sekimoto:
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction. SIGSPATIAL/GIS 2024: 573-576 - [c13]Kunyi Zhang, Yanbo Pang, Yurong Zhang, Yoshihide Sekimoto:
MobGLM: A Large Language Model for Synthetic Human Mobility Generation. SIGSPATIAL/GIS 2024: 629-632 - [c12]Yanbo Pang, Qingkai Li, Yushi Wang, Mingguo Zhao:
CBMC-V2: A CNS-inspired Framework for Real-time Robotic Arm Control. Humanoids 2024: 121-128 - [i2]Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction. CoRR abs/2408.14762 (2024) - 2023
- [c11]Yushi Wang, Yanbo Pang, Qingkai Li, Wenhan Cai, Mingguo Zhao:
Trajectory Tracking Control for Robot Manipulator Under Dynamic Environment. ICIRA (4) 2023: 513-524 - [c10]Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto:
Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling. ITSC 2023: 2535-2542 - 2022
- [j2]Yuzhu Tian, Liping Pang, Yanbo Pang, Hongwei Zhang:
Adaptive multilabel image segmentation model with prior constraints based on geometric structure characteristics. J. Electronic Imaging 31(6) (2022) - [c9]Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. IEEE Big Data 2022: 485-494 - [c8]Yanbo Pang, Yoshihide Sekimoto:
Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. IEEE Big Data 2022: 1900-1905 - [c7]Aayush Tewari, Yanbo Pang, Yoshihide Sekimoto:
Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. IEEE Big Data 2022: 3854-3863 - [c6]Yanbo Pang, Wen Zhan, Xinghua Sun, Zhiyong Luo, Yue Zhang:
Throughput-Constrained Energy Efficiency Optimization for CSMA Networks. GLOBECOM 2022: 4117-4122 - [i1]Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Takahiro Yabe:
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data. CoRR abs/2205.00657 (2022) - 2021
- [c5]Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto:
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. IEEE BigData 2021: 3755-3759 - [c4]Mingfei Cai, Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto:
Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics. SIGSPATIAL/GIS 2021: 411-414 - 2020
- [c3]Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto:
Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning. SIGSPATIAL/GIS 2020: 293-302
2010 – 2019
- 2018
- [j1]Lianxi Liu, Yanbo Pang, Xufeng Liao, Zhangming Zhu, Yintang Yang:
A Power-Enhanced Active Rectifier with Offset-Controlled Comparator for Self-Powered PEH Systems. J. Circuits Syst. Comput. 27(5): 1850079:1-1850079:17 (2018) - [c2]Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto:
Replicating urban dynamics by generating human-like agents from smartphone GPS data. SIGSPATIAL/GIS 2018: 440-443 - 2017
- [c1]Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto:
Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach. PredictGIS@SIGSPATIAL 2017: 5:1-5:9
Coauthor Index
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