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Xuewei (Tony) Qi, Ph.D.
Xuewei (Tony) Qi, Ph.D.
Principal AI Researcher at Toyota Research Labs
Verified email at toyota.com
Title
Cited by
Cited by
Year
Personalized keystroke dynamics for self-powered human–machine interfacing
J Chen, G Zhu, J Yang, Q Jing, P Bai, W Yang, X Qi, Y Su, ZL Wang
ACS nano 9 (1), 105-116, 2015
2372015
Deep reinforcement learning enabled self-learning control for energy efficient driving
X Qi, Y Luo, G Wu, K Boriboonsomsin, M Barth
Transportation Research Part C: Emerging Technologies 99, 67-81, 2019
1452019
Reinforcement learning for hybrid and plug-in hybrid electric vehicle energy management: Recent advances and prospects
X Hu, T Liu, X Qi, M Barth
IEEE Industrial Electronics Magazine 13 (3), 16-25, 2019
1322019
Data-driven decomposition analysis and estimation of link-level electric vehicle energy consumption under real-world traffic conditions
X Qi, G Wu, K Boriboonsomsin, MJ Barth
Transportation Research Part D: Transport and Environment 64, 36-52, 2018
1022018
Data-Driven Reinforcement Learning–Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles
JG Xuewei Qi, Guoyuan Wu,Matthew Barth
Transportation Research Record:Journal of the Transportation Research Board, 1-8, 2016
91*2016
Data-driven reinforcement learning–based real-time energy management system for plug-in hybrid electric vehicles
X Qi, G Wu, K Boriboonsomsin, MJ Barth, J Gonder
Transportation Research Record 2572 (1), 1-8, 2016
912016
Data-driven reinforcement learning–based real-time energy management system for plug-in hybrid electric vehicles
X Qi, G Wu, K Boriboonsomsin, MJ Barth, J Gonder
Transportation Research Record 2572 (1), 1-8, 2016
912016
Development and Evaluation of an Evolutionary Algorithm-Based Online Energy Management System for Plug-In Hybrid Electric Vehicles
X Qi
IEEE transactions on Intelligent Transportation System, 2016
702016
Prediction-based eco-approach and departure at signalized intersections with speed forecasting on preceding vehicles
F Ye, P Hao, X Qi, G Wu, K Boriboonsomsin, MJ Barth
IEEE Transactions on Intelligent Transportation Systems 20 (4), 1378-1389, 2018
662018
Deep reinforcement learning-based vehicle energy efficiency autonomous learning system
X Qi, Y Luo, G Wu, K Boriboonsomsin, MJ Barth
2017 IEEE intelligent vehicles symposium (IV), 1228-1233, 2017
562017
Integrated-connected eco-driving system for phevs with co-optimization of vehicle dynamics and powertrain operations
X Qi, G Wu, P Hao, K Boriboonsomsin, MJ Barth
IEEE Transactions on Intelligent Vehicles 2 (1), 2-13, 2017
562017
A novel blended real-time energy management strategy for plug-in hybrid electric vehicle commute trips
X Qi, G Wu, K Boriboonsomsin, MJ Barth
2015 IEEE 18th international conference on intelligent transportation …, 2015
342015
Energy impact of connected eco-driving on electric vehicles
X Qi, MJ Barth, G Wu, K Boriboonsomsin, P Wang
Road vehicle automation 4, 97-111, 2018
292018
Connected cooperative ecodriving system considering human driver error
X Qi, P Wang, G Wu, K Boriboonsomsin, MJ Barth
IEEE Transactions on Intelligent Transportation Systems 19 (8), 2721-2733, 2018
262018
Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network optimization
X Qi, K Li, WD Potter
Frontiers of environmental science & engineering 10 (2), 341-351, 2016
232016
An on-line energy management strategy for plug-in hybrid electric vehicles using an Estimation Distribution Algorithm
X Qi, G Wu, K Boriboonsomsin, MJ Barth
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
172014
Developing and evaluating an eco-speed harmonization strategy for connected vehicles
G Wu, D Kari, X Qi, K Boriboonsomsin, MJ Barth
2015 International Conference on Connected Vehicles and Expo (ICCVE), 373-378, 2015
122015
Intersection and stop bar position extraction from crowdsourced gps trajectories
C Wang, P Hao, G Wu, X Qi, T Lyu, M Barth
Proc. 96th Annu. Meeting Transportation Research Board, 1-18, 2017
112017
Infrastructure-based object detection and tracking for cooperative driving automation: A survey
Z Bai, G Wu, X Qi, Y Liu, K Oguchi, MJ Barth
2022 IEEE Intelligent Vehicles Symposium (IV), 1366-1373, 2022
102022
Predicting the number of uber pickups by deep learning
C Wang, P Hao, G Wu, X Qi, M Barth
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
102018
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Articles 1–20