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.