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20172026
most citedTITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction

20 citations · 31 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers

Amit Kumar, Elnur Adl Zarabi, Suranjana Trivedy +4

Large language models (LLMs) are increasingly used to provide prior causal knowledge for structural causal discovery, yet whether their direct-edge judgments and confidence can be…

cs.LG2023★ 4 cited

ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction

Shengkun Wang, YangXiao Bai, Kaiqun Fu +3

For both investors and policymakers, forecasting the stock market is essential as it serves as an indicator of economic well-being. To this end, we harness the power of social medi…

cs.LG2023

LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics

Kaiqun Fu, Yangxiao Bai, Weiwei Zhang +1

The COVID-19 pandemic has accentuated socioeconomic disparities across various racial and ethnic groups in the United States. While previous studies have utilized traditional surve…

cs.LG2023★ 4 cited

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks

Yanshen Sun, Kaiqun Fu, Chang-Tien Lu

The prompt estimation of traffic incident impacts can guide commuters in their trip planning and improve the resilience of transportation agencies' decision-making on resilience. H…

cs.LG2019★ 20 cited

TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction

Kaiqun Fu, Taoran Ji, Liang Zhao +1

Critical incident stages identification and reasonable prediction of traffic incident duration are essential in traffic incident management. In this paper, we propose a traffic inc…