Detailed Program

Please find the detailed program [here]

Program at a Glance

DAY ONE (Monday 7/3)

Workshops

*Cocktails and Welcome Reception from 5.30 pm onwards

DAY TWO (Tuesday 7/4) 

8:00:00 AM Registration

8:45:00 AM Welcome                                    15 

9:00:00 AM Keynote 1                                   60 

10:00:00 AM Coffee Break                              30 

10:30:00 AM Research Session 1                   90 

Recommendation Systems 

4. POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN (regular) 

5. LRS4DP: Location Recommendation System for Destination Prediction (regular)

29. TrustGAT: Sparse Trust Data Mining with Graph Attention for Mobile Social Networks (regular)

64. Utilization of Spatio-Temporal and Social Information for POI Group Recommendation (short)

12:00:00 PM Lunch                                         90 

1:30:00 PM Invited Seminar                       90 

Recent Trends in Sensor-based Activity Recognition 

3:00:00 PM Coffee Break                              30 

3:30:00 PM Research Session 2                   65 

Mobility Data Science Applications 

17. Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study(short)

60. One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes (regular)

80. ML-based Individual Contribution Assessment of Basketball Players from Their Trajectories (regular) 

4:35:00 PM Application & industry Session 100 

33. An IoT Data System for Solar Self-Consumption (regular)

36. Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantander (regular)

81. A Decentralised Super App (regular)

86. A System for Monitoring and Analyzing Human Indoor Mobility And Air Quality (regular)

6:15:00 PM

DAY THREE (Wed 7/5)

8:55:00 AM Opening

9:00:00 AM Keynote 2                                    60 

10:00:00 AM Coffee Break                               30 

10:30:00 AM Research Session 3                    90 

Queries and mobile data processing 

3. Approximate Reverse Top-k Spatial-Keyword Queries (regular)

6. On Spatial Crowdsourcing Query under Pandemics (regular)

25. Scalable Communication for Mobile Multi-Agent Cooperative Detection (short)

34. DDCEL: Efficient Distributed Doubly Connected Edge List for Large Spatial Networks (regular)

12:00:00 PM Lunch                                          90 

1:30:00 PM Research Session 4                    90 

Learning and Analytics 

46. A multi-view anomalous co-location detection framework considering both intra- and inter-feature coupling (short)

61. RIPGeo: Robust Street-Level IP Geolocation(regular)

63. CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN (regular)

71. Trajectory-User Linking using Higher-order Mobility Flow Representations (regular)

3:00:00 PM Coffee Break                               30 

3:30:00 PM Demo Session (room: sr6g)         75 

4:45:00 PM Panel                                           60 

5:45:00 PM Awards and Test-of-Time talk      45  

6:30:00 PM Depart for Banquet

*Buses have been arranged at 6.30 PM to leave from the conference venue to the Yantra restaurant.

Conference banquet location: Yantra (https://www.yantra.com.sg/contact-us).

7:00:00 PM Conference Dinner

DAY FOUR (Thu 7/6) 

8:55:00 AM Opening

9:00:00 AM D&I Keynote 3                              60 

10:00:00 AM Coffee Break                                30 

10:30:00 AM Research Session 5                     80

Localization and Privacy

49. AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning (regular)

70. RaFID: A Lightweight Approach to Radio Frequency Interference Detection in Time Domain using LSTM and Statistical Analysis (short)

75. Balancing Privacy and Utility of Spatio-Temporal Data for Taxi-Demand Prediction (short)

78. Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA (regular)

11:50:00 AM Lunch                                       100 

1:30:00 PM Invited Seminar                        90 

Kernel Density Visualization for
Big Geospatial Data: Algorithms and Applications 

3:00:00 PM Coffee Break                               30 

3:30:00 PM Research Session 6                  100

Transport and Urban Analytics

27. Pairwise and Hyper-correlations Based Spatio-temporal Neural Networks for Traffic Speed Predictions (regular)

28. Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model (regular)

69. Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services (regular)

85. Time-variant road network-based bridgelets (regular)

5:10:00 PM Closing