HuMob-Challenge@SIGSPATIAL

Keyphrases

Publications

2023

Xiaogang Guo, Guangyue Li, Zhixing Chen, Huazu Zhang, Yulin Ding, Jinghan Wang, Zilong Zhao, Luliang Tang
Large-Scale Human Mobility Prediction Based on Periodic Attenuation and Local Feature Match. HuMob-Challenge@SIGSPATIAL (2023)
Akihiro Kobayashi, Naoto Takeda, Yudai Yamazaki, Daisuke Kamisaka
Modeling and generating human mobility trajectories using transformer with day encoding. HuMob-Challenge@SIGSPATIAL (2023)
Ryo Koyama, Meisaku Suzuki, Yusuke Nakamura, Tomohiro Mimura, Shin Ishiguro
Estimating future human trajectories from sparse time series data. HuMob-Challenge@SIGSPATIAL (2023)
Jiaxin Du, Xinyue Ye
Batch and negative sampling design for human mobility graph neural network training. HuMob-Challenge@SIGSPATIAL (2023)
Masahiro Suzuki, Shomu Furuta, Yusuke Fukazawa
Personalized human mobility prediction for HuMob challenge. HuMob-Challenge@SIGSPATIAL (2023)
Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi
Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT. HuMob-Challenge@SIGSPATIAL (2023)
Proceedings of the 1st International Workshop on the Human Mobility Prediction Challenge, HuMob-Challenge 2023, Hamburg, Germany, 13 November 2023 HuMob-Challenge@SIGSPATIAL (2023)
Taehoon Kim, Kyoung-Sook Kim, Akiyoshi Matono
Cell-Level Trajectory Prediction Using Time-embedded Encoder-Decoder Network. HuMob-Challenge@SIGSPATIAL (2023)
Chenglong Wang, Zhicheng Deng
Multi-perspective Spatiotemporal Context-aware Neural Networks for Human Mobility Prediction. HuMob-Challenge@SIGSPATIAL (2023)
Haoyu He, Xinhua Wu, Qi Wang
Forecasting Urban Mobility using Sparse Data: A Gradient Boosted Fusion Tree Approach. HuMob-Challenge@SIGSPATIAL (2023)
Aivin V. Solatorio
GeoFormer: Predicting Human Mobility using Generative Pre-trained Transformer (GPT). HuMob-Challenge@SIGSPATIAL (2023)