STRL 2023
Spatio-Temporal Reasoning and Learning 2023

Table of Contents

• Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 5 as regular papers and 1 as short paper. Finally, the proceedings were supplemented with 2 keynotes and 1 invited paper.

Keynotes

• Spatial and Temporal Reasoning with LLMs for Natural Language Comprehension and Grounding (Abstract)
  Parisa Kordjamshidi
• Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning (Abstract)
  Shufeng Kong

Peer-reviewed Papers

• Listening Style-Aware Dyadic Facial Motion Generation
  Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal
• Geographical Cellular Traffic Prediction with Multivariate Spatio-Temporal Modeling
  ChungYi Lin, Shen-Lung Tung, Winston H. Hsu
• Geospatial Prediction Using Road Topology: A Graph-based Perspective
  Yameng Guo, Seppe vanden Broucke
• An Evolutionary Geospatial Regression Tree
  Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
• On Neuro-Symbolic Challenges in Directional Relation Prediction
  Junjie Peng, Michael Sioutis, Zhiguo Long
• Dual-Phase Models for Extracting Information and Symbolic Reasoning: A Case-Study in Spatial Reasoning
  Roshanak Mirzaee, Parisa Kordjamshidi

Invited Papers

• IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning (Invited Paper)
  Shufeng Kong, Caihua Liu, Carla Gomes