GISCUP Workshop Schedule

Room "Think 2", on November 3rd (Monday)

GISCUP Workshop Program

Time Presenter Title Memo
8:15 – 8:30Takahiro Yabe & Kota TsubouchiGISCUP Workshop Welcome
8:30 – 8:45Toru ShimizuOrganizers' Data Description
8:45 – 9:00Yijun Lin (University of Minnesota)MoVER: Modeling User Heterogeneity with Enriched Trajectory Representations for Human Mobility Prediction
9:00 – 9:15Tianye Fang (Technical University of Munich)Human Mobility Prediction with Multi-Task Curriculum Training
9:15 – 9:30Masahiro Suzuki (Sony Group Corporation)Lightweight Personalized Human Mobility Prediction using Gradient-Boosted Decision Trees and Graph Neural Networks
9:30 – 9:45Chenhao Wang (University of Electronic Science and Technology of China) (Zoom)Building Efficient LLM Pipeline for Human Mobility PredictionZoom
9:45 – 10:00Keiichi Ochiai (Yokohama City University)Trajectory Prediction Using Spatiotemporal BERT Leveraging Collective Trajectories
10:00 – 10:15Coffee Break
10:15 – 10:30Yueyang Liu (Emory University)Human Mobility Prediction via Sparse Mixture-of-Experts and Hybrid Multi-Scale Encoding
10:30 – 10:45Zhaoya Gong (Peking University) (Zoom)Simple Yet Effective: Supervised Fine-Tuning of Large Language Models for Multi-City Human Mobility PredictionZoom
10:45 – 11:00Sehoon Oh (Yonsei University)CityCondBERT: Cross-City Transfer with GEO-BLEU-Sinkhorn Loss for Human Mobility Prediction
11:00 – 11:15Meisaku Suzuki (NTT DOCOMO, INC.)Spatiotemporal Mobility Prediction via Cross-City-Aware Llama-3-8B-Mob
11:15 – 11:30Break
11:30 – 11:45Xu Yang (Hong Kong Polytechnic University) (Zoom)HuMob Predictor: Towards a Generalizable Model for Multi-City Individual Mobility PredictionZoom
11:45 – 12:00Shoko Nukaya (KDDI Research)BERT-based Human Mobility Prediction with Enhanced Features, Data Augmentation, and Epoch-wise Ensemble
12:00 – 12:15Haru Terashima (Nagoya University)Multi-City Next Location Prediction through Mobility-Derived Multi-Pattern Transfer Learning
12:15 – 12:30Takahiro Yabe & Kota TsubouchiClosing