7 papers
Global Cross-Modal Geo-Localization: A Million-Scale Dataset and a Physical Consistency Learning Framework
Yutong Hu, Jinhui Chen, Chaoqiang Xu +6
Cross-modal Geo-localization (CMGL) matches ground-level text descriptions with geo-tagged aerial imagery, which is crucial for pedestrian navigation and emergency response. Howeve…
From GPS Points to Travel Patterns: Flexible and Semantic Trajectory Generation with LLMs
Silin Zhou, Chenhao Wang, Yuntao Wen +3
Urban trajectories play a crucial role in modeling urban dynamics and supporting various smart city applications. However, privacy concerns restrict access to large-scale and high-…
PACE: Prefix-Protected and Difficulty-Aware Compression for Efficient Reasoning
Ruixiang Feng, Yuntao Wen, Silin Zhou +14
Language Reasoning Models (LRMs) achieve strong performance by scaling test-time computation but often suffer from ``overthinking'', producing excessively long reasoning traces tha…
Region-Point Joint Representation for Effective Trajectory Similarity Learning
Hao Long, Silin Zhou, Lisi Chen +1
Recent learning-based methods have reduced the computational complexity of traditional trajectory similarity computation, but state-of-the-art (SOTA) methods still fail to leverage…
Blurred Encoding for Trajectory Representation Learning
Silin Zhou, Yao Chen, Shuo Shang +3
Trajectory representation learning (TRL) maps trajectories to vector embeddings and facilitates tasks such as trajectory classification and similarity search. State-of-the-art (SOT…
RED: Effective Trajectory Representation Learning with Comprehensive Information
Silin Zhou, Shuo Shang, Lisi Chen +2
Trajectory representation learning (TRL) maps trajectories to vectors that can then be used for various downstream tasks, including trajectory similarity computation, trajectory cl…