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Ruimin Ke
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2020 – today
- 2024
- [i10]Yifan Zhuang, Talha Azfar, Yinhai Wang, Wei Sun, Xiaokun Wang, Qianwen Guo, Ruimin Ke:
Quantum Computing in Intelligent Transportation Systems: A Survey. CoRR abs/2406.00862 (2024) - [i9]Shuyang Li, Talha Azfar, Ruimin Ke:
ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility. CoRR abs/2409.09040 (2024) - [i8]Xuan Cai, Zhiyong Cui, Xuesong Bai, Ruimin Ke, Zhenshu Ma, Haiyang Yu, Yilong Ren:
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness. CoRR abs/2409.12997 (2024) - 2023
- [j11]Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang:
Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging. IEEE Trans. Intell. Veh. 8(4): 2737-2747 (2023) - 2022
- [j10]Hao (Frank) Yang, Ruimin Ke, Zhiyong Cui, Yinhai Wang, Karthik Murthy:
Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning. Int. J. Intell. Syst. 37(8): 4437-4470 (2022) - [j9]Chunsheng Liu, Ye Song, Faliang Chang, Shuang Li, Ruimin Ke, Yinhai Wang:
Posture Calibration Based Cross-View & Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 23(10): 19246-19257 (2022) - [j8]Chenxi Liu, Hao (Frank) Yang, Ruimin Ke, Yinhai Wang:
Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme. IEEE Trans. Intell. Transp. Syst. 23(12): 23311-23323 (2022) - [c5]Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian:
STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction. DTPI 2022: 1-6 - [i7]Talha Azfar, Jinlong Li, Hongkai Yu, Ruey Long Cheu, Yisheng Lv, Ruimin Ke:
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review. CoRR abs/2211.05120 (2022) - 2021
- [j7]Xinqiang Chen, Zhibin Li, Yongsheng Yang, Lei Qi, Ruimin Ke:
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos. IEEE Trans. Intell. Transp. Syst. 22(5): 3190-3202 (2021) - [j6]Ruimin Ke, Yifan Zhuang, Ziyuan Pu, Yinhai Wang:
A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices. IEEE Trans. Intell. Transp. Syst. 22(8): 4962-4974 (2021) - 2020
- [j5]Rui Qiu, Jiuping Xu, Ruimin Ke, Ziqiang Zeng, Yinhai Wang:
Carbon pricing initiatives-based bi-level pollution routing problem. Eur. J. Oper. Res. 286(1): 203-217 (2020) - [j4]Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang:
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. IEEE Trans. Intell. Transp. Syst. 21(11): 4883-4894 (2020) - [i6]Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang:
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values. CoRR abs/2005.11627 (2020) - [i5]Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang:
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. CoRR abs/2008.00549 (2020)
2010 – 2019
- 2019
- [j3]Ruimin Ke, Zhibin Li, Jinjun Tang, Zewen Pan, Yinhai Wang:
Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow. IEEE Trans. Intell. Transp. Syst. 20(1): 54-64 (2019) - [i4]Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke:
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. CoRR abs/1902.00089 (2019) - [i3]Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang:
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. CoRR abs/1903.01678 (2019) - 2018
- [j2]Jinjun Tang, Fang Liu, Wenhui Zhang, Ruimin Ke, Yajie Zou:
Lane-changes prediction based on adaptive fuzzy neural network. Expert Syst. Appl. 91: 452-463 (2018) - [i2]Zhiyong Cui, Ruimin Ke, Yinhai Wang:
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction. CoRR abs/1801.02143 (2018) - [i1]Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang:
High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. CoRR abs/1802.07007 (2018) - 2017
- [j1]Ruimin Ke, Zhibin Li, Sung Kim, John Ash, Zhiyong Cui, Yinhai Wang:
Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos. IEEE Trans. Intell. Transp. Syst. 18(4): 890-901 (2017) - [c4]Ruimin Ke, Jerome Lutin, Jerry Spears, Yinhai Wang:
A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision. CVPR Workshops 2017: 898-905 - 2015
- [c3]Zhiyong Cui, Ying Long, Ruimin Ke, Yinhai Wang:
Characterizing evolution of extreme public transit behavior using smart card data. ISC2 2015: 1-6 - [c2]Ruimin Ke, Sung Kim, Zhibin Li, Yinhai Wang:
Motion-vector clustering for traffic speed detection from UAV video. ISC2 2015: 1-5 - [c1]Yanwei Wang, Li Li, Juntang Yu, Zhiheng Li, Shuofeng Wang, Ruimin Ke:
Identifying the urban transportation corridor based on mobile phone data. ISC2 2015: 1-6
Coauthor Index
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