Workshop Schedule

Papers are posted here: https://drive.google.com/drive/folders/1tHlfn1Fm71Za9ZSD-TJe02qFdGdf0sP_

Workshop date and place: October 29th (Tuesday) at the Georgia Tech Hotel and Conference Center, “Conference 2” room. 

Workshop Schedule: 

time event presenter(s) title
1pm-1:15pm Opening remarks Takahiro Yabe  
1:15-1:30pm Description of data and tasks Toru Shimizu  
1:30-1:45pm paper presentation Ruochen Kong (Emory University)
Human Mobility Challenge: Are Transformers Effective for Human Mobility Prediction?
1:45pm-2pm paper presentation Masahiro Suzuki (Sophia University)
Human Mobility Prediction using Personalized Spatiotemporal Models
2pm-2:15pm paper presentation Haoyu He (Northeastern University)
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
2:15pm-2:30pm coffee break    
2:30-2:45pm paper presentation Chuang Yang (University of Tokyo)
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction
2:45-3pm paper presentation Shoko Nukaya (KDDI Research)
Multiple Systems Combination to Improve Human Mobility Prediction
3pm-3:15pm paper presentation JangHyeon Lee (University of Minnesota)
CrossBag: A Bag of Tricks for Cross-City Mobility Prediction
3:15-3:30pm paper presentation Haru Terashima (Nagoya University)
Time-series Stay Frequency for Multi-City Next Location Prediction using Multiple BERTs
3:30-3:45pm coffee break    
3:45-4pm paper presentation Jonas Gunkel (Institute for the Protection of Terrestrial Infrastructures, German Aerospace Center)
The Story of Mobility: Combining State Space Models and Transformers for Multi-Step Trajectory Prediction
4pm-4:15pm paper presentation Ryo Koyama (NTT DOCOMO) Cross-city-aware Spatiotemporal BERT
4:15-4:30pm paper presentation Ling-Huan Meng (National Chung Hsing University)  Using the Temporal-Trajectory-based K Nearest Neighbor Algorithm to Predict Human Mobility Patterns
4:30-4:45pm paper presentation Shogo Imai (ARISE Analytics)
Urban Human Mobility Prediction Using Support Vector Regression: A Classical Data-Driven Approach
4:45-5pm Awards ceremony Kota Tsubouchi  
5pm-5:05pm Announcements and closing remarks Organizing team  

 

All talks are 10 minutes long + 3 minutes for Q&A. 

Multi-City Human Mobility Prediction