4 citations · 4 across the 5 of their papers we have counts for
5 papers
HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting
Yongyao Wang, Xie Yu, Jingyuan Wang +2
Traffic forecasting task is significant to modern urban management. Recently, there is growing attention on large-scale forecasting, as it better reflects the complexity of real-wo…
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng +5
Anomaly detection (AD) is a fundamental task of critical importance across numerous domains. Current systems increasingly operate in rapidly evolving environments that generate div…
Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection
Alice Zhang, Chao Li
State-space modeling has emerged as a powerful paradigm for sequence analysis in various tasks such as natural language processing, time-series forecasting, and signal processing.…
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han, Jingyuan Wang, Yongyao Wang +4
Effective urban traffic management is vital for sustainable city development, relying on intelligent systems with machine learning tasks such as traffic flow prediction and travel…
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Jiawei Jiang, Dayan Pan, Houxing Ren +3
Trajectory Representation Learning (TRL) is a powerful tool for spatial-temporal data analysis and management. TRL aims to convert complicated raw trajectories into low-dimensional…