Traffic Signal Transition Time Prediction Based on Aerial Captures during Peak Hours. - Ruikang Luo; Rong Su 001 (ICARCV, 2020)

Domain Adaptation for Degraded Remote Scene Classification. - Jianfei Yang; Hailin Chen; Yuecong Xu; Ziji Shi; Ruikang Luo; Lihua Xie 001; Rong Su 001 (ICARCV, 2020)

FireWarn: Fire Hazards Detection Using Deep Learning Models. - Isaac Hogan; Donghao Qiao; Ruikang Luo; Mojtaba Moattari; Austin Carthy; Farhana H. Zulkernine; François Rivest; Mélanie Breton (CogMI, 2021)

Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability. - Ruikang Luo; Yicheng Zhang 001; Yao Zhou; Hailin Chen; Le Yang; Jianfei Yang; Rong Su 001 (ITSC, 2021)

MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework. - Juntian Chen; Ruikang Luo (CSSE, 2022)

Reinforcement Learning Method with Dynamic Learning Rate for Real-Time Route Guidance Based on SUMO. - Yuzhen Li; Jiawen Tang; Han Zhao; Ruikang Luo (ICARCV, 2022)

GraphSAGE-Based Generative Adversarial Network for Short-Term Traffic Speed Prediction Problem. - Han Zhao; Ruikang Luo; Bowen Yao; Yiyi Wang; Shaoqing Hu; Rong Su 001 (ICARCV, 2022)

A Scenario Encoding Model for Long-Term Lane-Change Prediction Using Self-Organizing Map. - Nanbin Zhao; Bohui Wang; Ruikang Luo; Yun Lu 002; Jialu Zhang; Rong Su 001 (ICARCV, 2022)

Traffic Sign Recognition Using Ulam's Game. - Haofeng Zheng; Ruikang Luo; Yaofeng Song; Yao Zhou; Jiawen Yu (ICARCV, 2022)

An Incremental Map Matching Approach with Speed Estimation Constraints for High Sampling Rate Vehicle Trajectories. - Liping Huang; Sida Zhao; Ruikang Luo; Rong Su 001; Mohit Sindhwani; Siew Kiat Chan; George Rosario Dhinesh (ICCA, 2022)

Coupling Urban Road Travel Time and Traffic Status from Vehicle Trajectories by Gaussian Distribution. - Liping Huang; Zhenghuan Li; Sida Zhao; Ruikang Luo; Rong Su 001; Yong Liang Guan 001 (ITSC, 2022)

Lane Change Intent Prediction Based on Multi-Channel CNN Considering Vehicle Time-Series Trajectory. - Yi Zhang 047; Sheng Zhang 023; Ruikang Luo (ITSC, 2022)

A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem. - Yaofeng Song; Han Zhao; Ruikang Luo; Liping Huang; Yicheng Zhang 001; Rong Su 001 (CoRR, 2022)

AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. - Ruikang Luo; Yaofeng Song; Liping Huang; Yicheng Zhang 001; Rong Su 001 (CoRR, 2022)

Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery. - Ruikang Luo; Yaofeng Song; Han Zhao; Yicheng Zhang 001; Yi Zhang 047; Nanbin Zhao; Liping Huang; Rong Su 001 (CoRR, 2022)

STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting. - Ruikang Luo; Yaofeng Song; Liping Huang; Yicheng Zhang 001; Rong Su 001 (CoRR, 2022)

I3D Light - A Simple Motion Information Stream for I3D. - Ruikang Luo; François Rivest; Farhana H. Zulkernine (Canadian AI, 2023)

Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis. - Liping Huang; Zhenghuan Li; Ruikang Luo; Rong Su 001 (Sensors, 2023)

AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. - Ruikang Luo; Yaofeng Song; Liping Huang; Yicheng Zhang 001; Rong Su 001 (Sensors, 2023)

STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting. - Ruikang Luo; Yaofeng Song; Yun Lu 002; Nanbin Zhao; Rong Su 001 (ITSC, 2024)

Trajectory and Velocity Prediction of Cut-In Vehicles With Deep Learning Method. - Hanfeng Wang; Yun Lu 002; Rong Su 001; Ruikang Luo; Nanbin Zhao; Niels de Boer; Yong Liang Guan 001 (ITSC, 2024)

Transferring Knowledge from Observed to Unknown: A Data-Driven Lane Change Trajectory Prediction Strategy Based on the Concept of Few-Shot Learning. - Nanbin Zhao; Yun Lu 002; Bohui Wang; Xinyi Cheng; Ruikang Luo; Yaofeng Song; Yao Zhou; Rong Su 001 (ITSC, 2024)

YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity Recognition. - Ruikang Luo; Aman Anand; Farhana H. Zulkernine; François Rivest (J. Imaging, 2024)

LC-RSS: A Lane-Change Responsibility-Sensitive Safety Framework Based on Data-Driven Lane-Change Prediction. - Nanbin Zhao; Bohui Wang; Kun Zhang 005; Yun Lu 002; Ruikang Luo; Rong Su 001 (IEEE Trans. Intell. Veh., 2024)

Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events. - Yaofeng Song; Ruikang Luo; Tianchen Zhou; Changgen Zhou; Rong Su 001 (Sensors, 2024)