Conference Program

Conference venue: Meeting Room, 10/F, Nakanoshima center, Osaka University.
Registration desk: The registration desk is located in front of this meeting room. The registration desk opens at 9am daily and closes at 5pm, except on the last day when it closes at 3pm.

Day 1 – Monday, August 25

Time Session Details
09:00-09:45 Registration
09:45-10:00 Opening Remarks
10:00-11:00 Keynote Talk #1 - Engineering the Digital Twin Society: Harnessing Spatiotemporal Data through AIProf. Hirozumi Yamaguchi (Osaka University)
11:20-11:55 Session 1 - Spatial and Spatio-temporal Data and Language ModelsSession Chair: Kyoungsook Kim, AIST, Japan SNC: A Framework for Verification and Generation of Spatial NLQ Corpora Weijia Yi (Nanjing University of Aeronautics and Astronautics); Xieyang Wang (Nanjing University of Aeronautics and Astronautics); Mengyi Liu (Nanjing University of Aeronautics and Astronautics); Jianqiu Xu (Nanjing University of Aeronautics and Astronautics) - LONG Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models Panos Kalnis (King Abdullah University of Science and Technology); Shuo Shang (University of Electronic Science and Technology of China); Christian Jensen (Aalborg University) - SHORT
11:55-12:45 Session 2 - Data Mining and ForecastingSession Chair: Panos Kalnis, KAUST, Saudi Arabia Multivariate Tests for Point and Probabilistic Forecasts, with an Application to Spatio-temporal Weather Forecast Evaluation Annette Jing (Stanford University); Phillip Jang (Amazon) - LONG Distributed Community Detection in Temporal Graphs Konstantinos Christopoulos (University of Patras); Konstantinos Tsichlas (University of Patras) - SHORT Discovering Super-Colocation Patterns: A Summary of Results Shuai An (University of Minnesota); Shesha Sai Kumar Reddy Sadu (University of Minnesota); Arun Sharma (University of Minnesota); Majid Farhadloo (University of Minnesota); Shashi Shekhar (University of Minnesota) - SHORT
13:45-15:10 Tutorial 1 - Spatial Regionalization: Algorithms and Challenges Amr Magdy (University of California, Riverside)*; Yongyi Liu (University of California, Riverside)
15:10-16:10 Session 3 - Maritime DataSession Chair: Chiara Pugliese, IIT-CNR, Italy A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction Haomin Yu (Aalborg University); Tianyi Li (Aalborg University); Kristian Torp (Aalborg University); Christian S. Jensen (Aalborg University) - LONG Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences Md Mahbub Alam (Dalhousie University); José F. Rodrigues-Jr (University of Sao Paulo); Amilcar Soares-Jr (Linnaeus University); Gabriel Spadon (Dalhousie University) - LONG ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency Emanuele Carlini (ISTI/CNR); Domenico Di Gangi (ISTI/CNR); Vinicius Monteiro de Lira (UFC); Hanna Kavalionak (ISTI/CNR); Amilcar Soares (Linnaeus University); Gabriel Spadon (Dalhousie University) - LONG
16:30-17:55 Tutorial 2 - Heterogeneity in Multivariate Time Series: Comprehensive Analysis and Adaptive Modeling Zezhi Shao (Institute of Computing Technology, Chinese Academy of Sciences)*; Chengqing Yu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Fei Wang ( Institute of Computing Technology, Chinese Academy of Sciences)

Day 2 – Tuesday, August 26

Time Session Details
09:00–10:00 Keynote Talk #2 - Mapping Cultural Values Across Regions for AI AlignmentProf. Xing Xie (Microsoft Research Asia)
10:20–11.00 Session 4 - Road NetworksSession Chair: Aamir Cheema, Monash University, Australia BRkNN-light: Batch Processing of Reverse k-Nearest Neighbor Queries for Moving Objects on Road Networks Anbang Song (Yantai University); Ziqiang Yu (Yantai University); Wei Liu (Yantai University); Yating Xu (Yantai University); Mingjin Tao (Yantai University) - LONG The Batch Insertion Operator for Shared Mobility Route Planning on Time-Dependent Road Networks Aaditya Mukherjee (University of Victoria); Sean Chester (University of Victoria); Mario Nascimento (Northeastern University) - LONG
11:00–12:25 Tutorial 3 - LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions Chenxi Liu (Nanyang Technological University)*; Hao Miao (Hong Kong Polytechnic University); Cheng Long (Nanyang Technological University); Yan Zhao (University of Electronic Science and Technology of China); Ziyue Li (Technical University of Munich); Panos Kalnis (King Abdullah University of Science and Technology)
13:25–14:50 Tutorial 4 - Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends Zijian Zhang (Jilin University )*; Xiao Han (City University of Hong Kong); Xiangyu Zhao (City University of Hong Kong); Chenjuan Guo (East China Normal University); Bin Yang (East China Normal University)
15:50–18:30 Ph.D. Forum


Mentor: Mario Nascimento (Northeastern University, Canada)

Mentor: Hua Lu (Aalborg University, Denmark)

 Towards Advanced Natural Language Interfaces for Moving Objects Databases Xieyang Wang (Nanjing University of Aeronautics and Astronautics); Jianqiu Xu (Nanjing University of Aeronautics and Astronautics)* CA-Gen: Trajectory Generation with Co-Movement Awareness Ke Li (UESTC)*; Ziwen Chen (UESTC); Yoshiharu Ishikawa (Nagoya University) Optimization of Exposure-Aware Routing for Vehicles and Pedestrians Gurban Aliyev (University of Pisa)* Lightweight Safety Assistance System for E-Scooters: Current Results and Future Directions Congzhi Ren (University of Osaka)* Device-Independent Wireless Sensing: Time-Series Analysis of Continuous Round Trip Time for Indoor Environment Haruki Yonekura (Osaka University)*; Hamada Rizk (The University of Osaka/ Tanta University/ RIKEN Center for Computational Science); Hirozumi Yamaguchi (The University of Osaka/ RIKEN Center for Computational Science) A Spatiotemporal Framework for Underwater Noise Modelling Giulia Rovinelli (Ca' Foscari University of Venice)* Entropy-based Pre-filtering of High-density Forest Point Clouds for Individual Tree Detection Algorithms Kasparas Karlauskas (Vilnius University )*; Povilas Treigys (Vilnius University) No Labels, No Problem: Adaptive Disaster Prediction Using Physics-Hybrid AI Ren Ozeki (Osaka university)*; Hamada Rizk (The University of Osaka); Hirozumi Yamaguchi (The University of Osaka) LLM-Powered Embodied Intelligence for Socially-Aware Robot Navigation in Human-Robot Interaction Xuqing Liu (The University of Osaka)*; Ahmed Farid (Waseda University); Tatsuya Amano (The University of Osaka); Hamada Rizk (The University of Osaka); Hirozumi Yamaguchi (The University of Osaka)

Day 3 – Wednesday, August 27

Time Session Details
09:00–10:20 Session 5 - Mobility Analysis and IndustrySession Chair: Gabriel Spadon, Dalhousie University, Canada Scalable Processing of Moving Flock Patterns Andres Oswaldo Calderon Romero (Pontificia Universidad Javeriana); Vassilis J. Tsotras (University of California); Petko Balakov (Esri); Marcos Vieira (Google) - LONG Generalized Origin-Destination-Time Flow Patterns Chrysanthi Kosyfaki (The University of Hong Kong ); Nikos Mamoulis (University of Ioannina); Reynold Cheng (The University of Hong Kong); Ben Kao (The University of Hong Kong) - LONG Private Next Location Prediction using Transformers: Enhancing Accuracy under Differential Privacy Constraints Andrei Ouatu (Politehnica University Bucharest); Gabriel Ghinita (Hamad Bin Khalifa University); Razvan Rughinis (Politehnica University Bucharest) - LONG Target and Non-target Category Classification from GPS and Check-in Data Ryo Shirai (The University of Osaka); Ryo Imai (LY Coorporation); Daichi Amagata (Osaka University) - LONG
10:40-12:05 Tutorial 5 - Towards Foundation Model for Spatiotemporal Data Analysis Yuankai Wu (Sichuan University)*; Dingyi Zhuang (Massachusetts Institute of Technology); Xinyu Chen (Massachusetts Institute of Technology)
13:05-14:05 Session 6 - Time Series and Interval DataSession Chair: Mario Nascimento, Northeastern University, Canada ReefsDB: An Efficient Design and Implementation of Time-Series Store on SSDs Shuai Liu (The Institute of Software, Chinese Academy of Sciences (ISCAS)); Ying Qiao (The Institute of Software, Chinese Academy of Sciences (ISCAS)); Chang Leng (The Institute of Software, Chinese Academy of Sciences (ISCAS)); Hongan Wang (The Institute of Software, Chinese Academy of Sciences (ISCAS)) - LONG TIDE: Indexing Time Intervals by Duration and Endpoint Kai Wang (HKUST); Moin Moti (HKUST); Dimitris Papadias (HKUST) - LONG Top-k Range Search on Weighted Interval Data Daichi Amagata (Osaka University); Jimin Lee (The University of Osaka) - LONG
14:05–15:20 Panel Discussion - My Classic Papers in Spatial and Spatiotemporal Data
15:20–15:30 Closing Remarks