5 citations · 15 across the 19 of their papers we have counts for
6 papers · 1 filter
RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting
Haochen Lv, Yan Lin, Shengnan Guo +5
Accurate traffic flow forecasting is crucial for intelligent transportation services such as navigation and ride-hailing. In such applications, uncertainty estimation in forecastin…
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
Yichen Liu, Yan Lin, Shengnan Guo +3
Vehicle GPS trajectories record how vehicles move over time, storing valuable travel semantics, including movement patterns and travel purposes. Learning travel semantics effective…
A Survey of LLM Prompt Datasets: Taxonomy, Linguistic Patterns, and Practical Uses
Yuanming Zhang, Yan Lin, Arijit Khan +1
We compile 129 public LLM prompt datasets with more than 1.22TB and more than 673M instances and organize them into a unified taxonomy. We use seven datasets for detailed analysis…
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
Shuo Liu, Di Yao, Yan Lin +2
Building a general model capable of analyzing human trajectories across different geographic regions and different tasks becomes an emergent yet important problem for various appli…
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou +6
Vehicle GPS trajectories provide valuable movement information that supports various downstream tasks and applications. A desirable trajectory learning model should be able to tran…
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
Evan Chen, Run-Jun Zhan, Yan-Bai Lin +1
Large Language Models (LLMs) have revolutionized natural language processing, yet concerns persist regarding their tendency to reflect or amplify social biases. This study introduc…