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Ruikang Luo
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Journal Articles
- 2024
- [j4]Yaofeng Song, Ruikang Luo, Tianchen Zhou, Changgen Zhou, Rong Su:
Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events. Sensors 24(15): 4796 (2024) - [j3]Nanbin Zhao
, Bohui Wang
, Kun Zhang
, Yun Lu
, Ruikang Luo
, Rong Su
:
LC-RSS: A Lane-Change Responsibility-Sensitive Safety Framework Based on Data-Driven Lane-Change Prediction. IEEE Trans. Intell. Veh. 9(1): 2531-2541 (2024) - 2023
- [j2]Liping Huang
, Zhenghuan Li, Ruikang Luo, Rong Su:
Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis. Sensors 23(1): 204 (2023) - [j1]Ruikang Luo
, Yaofeng Song
, Liping Huang
, Yicheng Zhang, Rong Su:
AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. Sensors 23(4): 1975 (2023)
Conference and Workshop Papers
- 2023
- [c13]Ruikang Luo, François Rivest, Farhana H. Zulkernine:
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI 2023 - 2022
- [c12]Juntian Chen
, Ruikang Luo
:
MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework. CSSE 2022: 517-521 - [c11]Yuzhen Li, Jiawen Tang, Han Zhao, Ruikang Luo:
Reinforcement Learning Method with Dynamic Learning Rate for Real-Time Route Guidance Based on SUMO. ICARCV 2022: 820-824 - [c10]Haofeng Zheng, Ruikang Luo, Yaofeng Song, Yao Zhou, Jiawen Yu:
Traffic Sign Recognition Using Ulam's Game. ICARCV 2022: 825-830 - [c9]Nanbin Zhao, Bohui Wang, Ruikang Luo, Yun Lu, Jialu Zhang, Rong Su:
A Scenario Encoding Model for Long-Term Lane-Change Prediction Using Self-Organizing Map. ICARCV 2022: 831-836 - [c8]Han Zhao, Ruikang Luo, Bowen Yao, Yiyi Wang, Shaoqing Hu, Rong Su:
GraphSAGE-Based Generative Adversarial Network for Short-Term Traffic Speed Prediction Problem. ICARCV 2022: 837-842 - [c7]Liping Huang
, Sida Zhao, Ruikang Luo, Rong Su, Mohit Sindhwani, Siew Kiat Chan, George Rosario Dhinesh:
An Incremental Map Matching Approach with Speed Estimation Constraints for High Sampling Rate Vehicle Trajectories. ICCA 2022: 758-765 - [c6]Yi Zhang, Sheng Zhang, Ruikang Luo:
Lane Change Intent Prediction Based on Multi-Channel CNN Considering Vehicle Time-Series Trajectory. ITSC 2022: 287-292 - [c5]Liping Huang
, Zhenghuan Li, Sida Zhao, Ruikang Luo, Rong Su, Yong Liang Guan:
Coupling Urban Road Travel Time and Traffic Status from Vehicle Trajectories by Gaussian Distribution. ITSC 2022: 4056-4061 - 2021
- [c4]Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton:
FireWarn: Fire Hazards Detection Using Deep Learning Models. CogMI 2021: 1-10 - [c3]Ruikang Luo, Yicheng Zhang
, Yao Zhou, Hailin Chen, Le Yang, Jianfei Yang, Rong Su
:
Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability. ITSC 2021: 3334-3339 - 2020
- [c2]Ruikang Luo, Rong Su
:
Traffic Signal Transition Time Prediction Based on Aerial Captures during Peak Hours. ICARCV 2020: 104-110 - [c1]Jianfei Yang, Hailin Chen, Yuecong Xu
, Ziji Shi, Ruikang Luo, Lihua Xie, Rong Su
:
Domain Adaptation for Degraded Remote Scene Classification. ICARCV 2020: 111-117
Informal and Other Publications
- 2022
- [i4]Yaofeng Song, Han Zhao, Ruikang Luo, Liping Huang, Yicheng Zhang, Rong Su:
A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem. CoRR abs/2209.02921 (2022) - [i3]Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su:
AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. CoRR abs/2209.03356 (2022) - [i2]Ruikang Luo, Yaofeng Song, Han Zhao, Yicheng Zhang, Yi Zhang, Nanbin Zhao, Liping Huang, Rong Su:
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery. CoRR abs/2209.13500 (2022) - [i1]Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su:
STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting. CoRR abs/2210.01799 (2022)
Coauthor Index
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