718 citations · 1k across the 45 of their papers we have counts for
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A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li, Lei Bai, Lina Yao +2
Transportation is the backbone of the economy and urban development. Improving the efficiency, sustainability, resilience, and intelligence of transportation systems is critical an…
Jointly Contrastive Representation Learning on Road Network and Trajectory
Zhenyu Mao, Ziyue Li, Dedong Li +2
Road network and trajectory representation learning are essential for traffic systems since the learned representation can be directly used in various downstream tasks (e.g., traff…
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection
Xinzhu Ma, Yuan Meng, Yinmin Zhang +4
Image-based 3D detection is an indispensable component of the perception system for autonomous driving. However, it still suffers from the unsatisfying performance, one of the main…
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches
Yuanzheng Ci, Chen Lin, Lei Bai +1
Contrastive-based self-supervised learning methods achieved great success in recent years. However, self-supervision requires extremely long training epochs (e.g., 800 epochs for M…
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
Can Li, Lei Bai, Wei Liu +2
Considering the multimodal nature of transport systems and potential cross-modal correlations, there is a growing trend of enhancing demand forecasting accuracy by learning from mu…
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Haiyang Yang, Meilin Chen, Yizhou Wang +5
Generalizing learned representations across significantly different visual domains is a fundamental yet crucial ability of the human visual system. While recent self-supervised lea…