Ruimin Ke

According to our database, Ruimin Ke authored at least 39 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decoupled Intelligence: A Multi-Agent LLM Framework for Controllable Traffic Scenario Generation in SUMO.

Shuyang Li, Ruimin Ke

CoRR, May, 2026

Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes.

Kaicong Huang, Talha Azfar, Weisong Shi, Ruimin Ke

CoRR, May, 2026

iPay: Integrated Payment Action Recognition via Multimodal Networks and Adaptive Spatial Prior Learning.

Kaicong Huang, Weiheng Oh, Thomas Guggisberg, Ruimin Ke

CoRR, May, 2026

Impact-Driven Quantum Decomposition for Traffic Zone Partitioning: A Hybrid Gate-Model Framework.

Ruimin Ke, Talha Azfar, Kaicong Huang, Shuyang Li

CoRR, May, 2026

Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models.

Bo Yu, Fengze Yang, Yiming Liu, Chao Wang, Xuewen Luo, Taozhe Li, Ruimin Ke, Xiaofang Zhou, Chenxi Liu

CoRR, March, 2026

2025

ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility.

Shuyang Li, Talha Azfar, Ruimin Ke

IEEE Trans. Intell. Veh., November, 2025

Background Matters Too: A Language-Enhanced Adversarial Framework for Person Re-Identification.

Kaicong Huang, Talha Azfar, Jack Reilly, Thomas Guggisberg, Ruimin Ke

CoRR, September, 2025

Quantum-Assisted Vehicle Routing: Realizing QAOA-based Approach on Gate-Based Quantum Computer.

Talha Azfar, Ruimin Ke, Osama Muhammad Raisuddin, José Holguín-Veras

CoRR, May, 2025

TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification.

Kaicong Huang, Talha Azfar, Jack Reilly, Ruimin Ke

CoRR, April, 2025

Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices.

Talha Azfar, Kaicong Huang, Ruimin Ke

CoRR, January, 2025

Q-RESTORE: Quantum-Driven Framework for Resilient and Equitable Transportation Network Restoration.

Daniel Udekwe, Ruimin Ke, Jiaqing Lu, Qianwen Guo

CoRR, January, 2025

Vulnerability-aware and Curiosity-driven Adversarial Reinforcement Learning Policy for Safety-Critical Scenario Generation.

Xuan Cai, Zhiyong Cui, Xuesong Bai, Ruimin Ke, Haiyang Yu, Yilong Ren, Zechang Ye

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Onboard Decisions and Cloud-Scale LLM Planning: Split Reasoning and Collaborative Intelligence for Autonomous Driving.

Meng Ma, Shuyang Li, Kaicong Huang, Talha Azfar, Naigang Wang, Ruimin Ke

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

2024

Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning.

Talha Azfar, Ruimin Ke

CoRR, 2024

VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness.

Xuan Cai, Zhiyong Cui, Xuesong Bai, Ruimin Ke, Zhenshu Ma, Haiyang Yu, Yilong Ren

CoRR, 2024

Quantum Computing in Intelligent Transportation Systems: A Survey.

Yifan Zhuang, Talha Azfar, Yinhai Wang, Wei Sun, Xiaokun Wang, Qianwen Guo, Ruimin Ke

CoRR, 2024

2023

Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang

IEEE Trans. Intell. Veh., April, 2023

2022

Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme.

Chenxi Liu, Hao (Frank) Yang, Ruimin Ke, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Posture Calibration Based Cross-View & Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification.

Chunsheng Liu, Ye Song, Faliang Chang, Shuang Li, Ruimin Ke, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning.

Hao (Frank) Yang, Ruimin Ke, Zhiyong Cui, Yinhai Wang, Karthik Murthy

Int. J. Intell. Syst., 2022

Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review.

Talha Azfar, Jinlong Li, Hongkai Yu, Ruey Long Cheu, Yisheng Lv, Ruimin Ke

CoRR, 2022

STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction.

Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

2021

A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices.

Ruimin Ke, Yifan Zhuang, Ziyuan Pu, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2021

High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos.

Xinqiang Chen, Zhibin Li, Yongsheng Yang, Lei Qi, Ruimin Ke

IEEE Trans. Intell. Transp. Syst., 2021

2020

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.

Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2020

Carbon pricing initiatives-based bi-level pollution routing problem.

Rui Qiu, Jiuping Xu, Ruimin Ke, Ziqiang Zeng, Yinhai Wang

Eur. J. Oper. Res., 2020

IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang

CoRR, 2020

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values.

Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang

CoRR, 2020

2019

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow.

Ruimin Ke, Zhibin Li, Jinjun Tang, Zewen Pan, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2019

Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact.

Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang

CoRR, 2019

Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving.

Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke

CoRR, 2019

2018

Lane-changes prediction based on adaptive fuzzy neural network.

Jinjun Tang, Fang Liu, Wenhui Zhang, Ruimin Ke, Yajie Zou

Expert Syst. Appl., 2018

High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.

Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang

CoRR, 2018

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.

Zhiyong Cui, Ruimin Ke, Yinhai Wang

CoRR, 2018

2017

Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos.

Ruimin Ke, Zhibin Li, Sung Kim, John Ash, Zhiyong Cui, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2017

A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision.

Ruimin Ke, Jerome Lutin, Jerry Spears, Yinhai Wang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

Identifying the urban transportation corridor based on mobile phone data.

Yanwei Wang, Li Li, Juntang Yu, Zhiheng Li, Shuofeng Wang, Ruimin Ke

Proceedings of the IEEE First International Smart Cities Conference, 2015

Motion-vector clustering for traffic speed detection from UAV video.

Ruimin Ke, Sung Kim, Zhibin Li, Yinhai Wang

Proceedings of the IEEE First International Smart Cities Conference, 2015

Characterizing evolution of extreme public transit behavior using smart card data.

Zhiyong Cui, Ying Long, Ruimin Ke, Yinhai Wang

Proceedings of the IEEE First International Smart Cities Conference, 2015