2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models
Yang Zhao, Pu Wang, Yibo Zhao +2
Predicting crash events is crucial for understanding crash distributions and their contributing factors, thereby enabling the design of proactive traffic safety policy intervention…
cs.AI2024
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
Jianyi Zhang, Hao Frank Yang, Ang Li +5
Previous studies on federated learning (FL) often encounter performance degradation due to data heterogeneity among different clients. In light of the recent advances in multimodal…
cs.CV2024★ 2 cited
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
Zhiwen Fan, Pu Wang, Yang Zhao +5
The increasing rate of road accidents worldwide results not only in significant loss of life but also imposes billions financial burdens on societies. Current research in traffic c…