Qing-Long Lu

According to our database, Qing-Long Lu authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Two-Stage Transport Data Imputation with Changepoint Detection and Tucker Decomposition.

Cheng Lyu, Qing-Long Lu, Xinhua Wu, Constantinos Antoniou

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting.

Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan

CoRR, 2022

2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter

Proceedings of the NeurIPS 2022 Competition Track, 2021

Crash risk analysis for the mixed traffic flow with human-driven and connected and autonomous vehicles.

Qing-Long Lu, Kui Yang, Constantinos Antoniou

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021