Ruikang Luo - RankMe

26 papers C 6Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	GMDNet: A Graph-Dynamics-Aware Multi-Scale Decoupling Network for Spatio-Temporal Traffic Flow Prediction. ITSC Yaofeng Song, Yifan Ma, Zhiyao Chu, Haonan Zhao, Ruikang Luo, Rong Su
2024	J	`jnl`	Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events. Sensors Yaofeng Song, Ruikang Luo, Tianchen Zhou, Changgen Zhou, Rong Su
2024	J	`jnl`	LC-RSS: A Lane-Change Responsibility-Sensitive Safety Framework Based on Data-Driven Lane-Change Prediction. IEEE Trans. Intell. Veh. Nanbin Zhao, Bohui Wang, Kun Zhang, Yun Lu, Ruikang Luo, Rong Su
2024	—	`conf`	STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting. ITSC Ruikang Luo, Yaofeng Song, Yun Lu, Nanbin Zhao, Rong Su
2024	—	`conf`	Trajectory and Velocity Prediction of Cut-In Vehicles With Deep Learning Method. ITSC Hanfeng Wang, Yun Lu, Rong Su, Ruikang Luo, Nanbin Zhao, Niels de Boer, Yong Liang Guan
2024	—	`conf`	Transferring Knowledge from Observed to Unknown: A Data-Driven Lane Change Trajectory Prediction Strategy Based on the Concept of Few-Shot Learning. ITSC Nanbin Zhao, Yun Lu, Bohui Wang, Xinyi Cheng, Ruikang Luo, Yaofeng Song, Yao Zhou, Rong Su
2024	J	`jnl`	YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity Recognition. J. Imaging Ruikang Luo, Aman Anand, Farhana H. Zulkernine, François Rivest
2023	J	`jnl`	AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. Sensors Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su
2023	—	`conf`	I3D Light - A Simple Motion Information Stream for I3D. Canadian AI Ruikang Luo, François Rivest, Farhana H. Zulkernine
2023	J	`jnl`	Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis. Sensors Liping Huang, Zhenghuan Li, Ruikang Luo, Rong Su
2022	J	`jnl`	A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem. CoRR Yaofeng Song, Han Zhao, Ruikang Luo, Liping Huang, Yicheng Zhang, Rong Su
2022	C	`conf`	A Scenario Encoding Model for Long-Term Lane-Change Prediction Using Self-Organizing Map. ICARCV Nanbin Zhao, Bohui Wang, Ruikang Luo, Yun Lu, Jialu Zhang, Rong Su
2022	J	`jnl`	AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. CoRR Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su
2022	—	`conf`	An Incremental Map Matching Approach with Speed Estimation Constraints for High Sampling Rate Vehicle Trajectories. ICCA Liping Huang, Sida Zhao, Ruikang Luo, Rong Su, Mohit Sindhwani, Siew Kiat Chan, George Rosario Dhinesh
2022	—	`conf`	Coupling Urban Road Travel Time and Traffic Status from Vehicle Trajectories by Gaussian Distribution. ITSC Liping Huang, Zhenghuan Li, Sida Zhao, Ruikang Luo, Rong Su, Yong Liang Guan
2022	J	`jnl`	Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery. CoRR Ruikang Luo, Yaofeng Song, Han Zhao, Yicheng Zhang, Yi Zhang, Nanbin Zhao, Liping Huang, Rong Su
2022	C	`conf`	GraphSAGE-Based Generative Adversarial Network for Short-Term Traffic Speed Prediction Problem. ICARCV Han Zhao, Ruikang Luo, Bowen Yao, Yiyi Wang, Shaoqing Hu, Rong Su
2022	—	`conf`	Lane Change Intent Prediction Based on Multi-Channel CNN Considering Vehicle Time-Series Trajectory. ITSC Yi Zhang, Sheng Zhang, Ruikang Luo
2022	—	`conf`	MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework. CSSE Juntian Chen, Ruikang Luo
2022	C	`conf`	Reinforcement Learning Method with Dynamic Learning Rate for Real-Time Route Guidance Based on SUMO. ICARCV Yuzhen Li, Jiawen Tang, Han Zhao, Ruikang Luo
2022	J	`jnl`	STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting. CoRR Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su
2022	C	`conf`	Traffic Sign Recognition Using Ulam's Game. ICARCV Haofeng Zheng, Ruikang Luo, Yaofeng Song, Yao Zhou, Jiawen Yu
2021	—	`conf`	Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability. ITSC Ruikang Luo, Yicheng Zhang, Yao Zhou, Hailin Chen, Le Yang, Jianfei Yang, Rong Su
2021	—	`conf`	FireWarn: Fire Hazards Detection Using Deep Learning Models. CogMI Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton
2020	C	`conf`	Domain Adaptation for Degraded Remote Scene Classification. ICARCV Jianfei Yang, Hailin Chen, Yuecong Xu, Ziji Shi, Ruikang Luo, Lihua Xie, Rong Su
2020	C	`conf`	Traffic Signal Transition Time Prediction Based on Aerial Captures during Peak Hours. ICARCV Ruikang Luo, Rong Su