| When intelligent transportation systems sensing meets edge computing: Vision and challenges X Zhou, R Ke, H Yang, C Liu Applied Sciences 11 (20), 9680, 2021 | 39 | 2021 |
| How fast you will drive? predicting speed of customized paths by deep neural network H Yang, C Liu, M Zhu, X Ban, Y Wang IEEE transactions on intelligent transportation systems 23 (3), 2045-2055, 2021 | 34 | 2021 |
| Resilience modeling method of airport network affected by global public health events J Guo, X Zhu, C Liu, SS Ge Mathematical problems in engineering 2021, 1-13, 2021 | 28 | 2021 |
| Adaptive dual-view wavenet for urban spatial–temporal event prediction G Jin, C Liu, Z Xi, H Sha, Y Liu, J Huang Information Sciences 588, 315-330, 2022 | 23 | 2022 |
| Meta: A city-wide taxi repositioning framework based on multi-agent reinforcement learning C Liu, CX Chen, C Chen IEEE Transactions on Intelligent Transportation Systems 23 (8), 13890-13895, 2021 | 20 | 2021 |
| Vehicle trajectory interpolation based on ensemble transfer regression J Xiao, Z Xiao, D Wang, V Havyarimana, C Liu, C Zou, D Wu IEEE Transactions on Intelligent Transportation Systems 23 (7), 7680-7691, 2021 | 19 | 2021 |
| A hybrid neural network for large-scale expressway network OD prediction based on toll data X Fu, H Yang, C Liu, J Wang, Y Wang PloS one 14 (5), e0217241, 2019 | 18 | 2019 |
| Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning HF Yang, J Cai, C Liu, R Ke, Y Wang Transportation research part C: emerging technologies 148, 103982, 2023 | 16 | 2023 |
| Traffic-informed multi-camera sensing (TIMS) system based on vehicle re-identification H Yang, J Cai, M Zhu, C Liu, Y Wang IEEE Transactions on Intelligent Transportation Systems 23 (10), 17189-17200, 2022 | 16 | 2022 |
| Truck parking pattern aggregation and availability prediction by deep learning H Yang, C Liu, Y Zhuang, W Sun, K Murthy, Z Pu, Y Wang IEEE Transactions on Intelligent Transportation Systems 23 (8), 12778-12789, 2021 | 16 | 2021 |
| Exploiting spatiotemporal correlations of arrive-stay-leave behaviors for private car flow prediction C Liu, Z Xiao, D Wang, L Wang, H Jiang, H Chen, J Yu IEEE Transactions on Network Science and Engineering 9 (2), 834-847, 2021 | 13 | 2021 |
| Real-time crash identification using connected electric vehicle operation data M Zhu, HF Yang, C Liu, Z Pu, Y Wang Accident Analysis & Prevention 173, 106708, 2022 | 12 | 2022 |
| Real-time traffic and road surveillance with parallel edge intelligence R Ke, C Liu, H Yang, W Sun, Y Wang IEEE Journal of Radio Frequency Identification 6, 693-696, 2022 | 11 | 2022 |
| Cell-speed prediction neural network (CPNN): A deep learning approach for trip-based speed prediction H Yang, C Liu, C Gottsacker, X Ban, C Zhang, Y Wang Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | 7 | 2019 |
| Cooperative perception of roadside unit and onboard equipment with edge artificial intelligence for driving assistance Y Wang, W Sun, C Liu, Z Cui, M Zhu, Z Pu Connected Cities for Smart Mobility toward Accessible and Resilient …, 2021 | 4 | 2021 |
| Bi-level optimization algorithm for dynamic reversible lane control based on short-term traffic flow prediction C Liu University of Washington, 2020 | 4 | 2020 |
| Cooperative and comprehensive multi-task surveillance sensing and interaction system empowered by edge artificial intelligence C Liu, H Yang, R Ke, W Sun, J Wang, Y Wang Transportation research record 2677 (9), 652-668, 2023 | 3 | 2023 |
| Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme C Liu, H Yang, R Ke, Y Wang IEEE Transactions on Intelligent Transportation Systems 23 (12), 23311-23323, 2022 | 3 | 2022 |
| Hybrid data-fusion model for short-term road hazardous segments identification based on the acceleration and deceleration information H Yang, C Liu, M Zhu, W Sun, Y Wang International Conference on Transportation and Development 2020, 313-326, 2020 | 3 | 2020 |
| An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting MJ Tsai, Z Cui, C Liu, H Yang, Y Wang 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 2 | 2022 |
Hao (Frank) YangAssistant Professor, Johns Hopkins University, CaSEVerified email at jhu.edu
