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Cheng Lyu
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Year
DeepTSP: Deep traffic state prediction model based on large-scale empirical data
Y Liu, C Lyu, Y Zhang, Z Liu, W Yu, X Qu
Communications in Transportation Research 1, 100012, 2021
842021
Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform
Y Liu, F Wu, C Lyu, S Li, J Ye, X Qu
Transportation Research Part E: Logistics and Transportation Review 161, 102694, 2022
702022
Exploring a large-scale multi-modal transportation recommendation system
Y Liu, C Lyu, Z Liu, J Cao
Transportation Research Part C: Emerging Technologies 126, 103070, 2021
522021
A static bike repositioning model in a hub-and-spoke network framework
D Huang, X Chen, Z Liu, C Lyu, S Wang, X Chen
Transportation Research Part E: Logistics and Transportation Review 141, 102031, 2020
512020
Building personalized transportation model for online taxi-hailing demand prediction
Z Liu, Y Liu, C Lyu, J Ye
IEEE Transactions on Cybernetics 51 (9), 4602-4610, 2020
462020
A spatio‐temporal ensemble method for large‐scale traffic state prediction
Y Liu, Z Liu, HL Vu, C Lyu
Computer‐Aided Civil and Infrastructure Engineering 35 (1), 26-44, 2020
462020
Attention-based deep ensemble net for large-scale online taxi-hailing demand prediction
Y Liu, Z Liu, C Lyu, J Ye
IEEE transactions on intelligent transportation systems 21 (11), 4798-4807, 2019
452019
Automatic feature engineering for bus passenger flow prediction based on modular convolutional neural network
Y Liu, C Lyu, X Liu, Z Liu
IEEE Transactions on Intelligent Transportation Systems 22 (4), 2349-2358, 2020
372020
Spatio-temporal ensemble method for car-hailing demand prediction
Y Liu, C Lyu, A Khadka, W Zhang, Z Liu
IEEE Transactions on Intelligent Transportation Systems 21 (12), 5328-5333, 2019
362019
Building effective short video recommendation
Y Liu, C Lyu, Z Liu, D Tao
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019
212019
Behavior2vector: Embedding users’ personalized travel behavior to Vector
Y Liu, F Wu, C Lyu, X Liu, Z Liu
IEEE Transactions on Intelligent Transportation Systems 23 (7), 8346-8355, 2021
202021
Gaussian process regression for transportation system estimation and prediction problems: the Deformation and a Hat Kernel
Z Liu, C Lyu, J Huo, S Wang, J Chen
IEEE Transactions on Intelligent Transportation Systems 23 (11), 22331-22342, 2022
172022
Modelling the energy consumption of electric vehicles under uncertain and small data conditions
Y Liu, Q Zhang, C Lyu, Z Liu
Transportation Research Part A: Policy and Practice 154, 313-328, 2021
172021
A partial-Fréchet-distance-based framework for bus route identification
C Lyu, X Wu, Y Liu, Z Liu
IEEE Transactions on Intelligent Transportation Systems 23 (7), 9275-9280, 2021
162021
Exploring multi-scale spatial relationship between built environment and public bicycle ridership
C Lyu, Y Liu, Z Liu, X Wu, X Yang
Journal of Transport and Land Use 13 (1), 447-467, 2020
152020
A personalized recommendation system for multi-modal transportation systems
F Wu, C Lyu, Y Liu
Multimodal Transportation 1 (2), 100016, 2022
142022
Quantify the road link performance and capacity using deep learning models
J Huo, X Wu, C Lyu, W Zhang, Z Liu
IEEE Transactions on Intelligent Transportation Systems 23 (10), 18581-18591, 2022
142022
A Gaussian-process-based data-driven traffic flow model and its application in road capacity analysis
Z Liu, C Lyu, Z Wang, S Wang, P Liu, Q Meng
IEEE Transactions on Intelligent Transportation Systems 24 (2), 1544-1563, 2023
92023
Station-level hourly bike demand prediction for dynamic repositioning in bike sharing systems
X Wu, C Lyu, Z Wang, Z Liu
Smart transportation systems 2019, 19-27, 2019
92019
A holistic data-driven framework for developing a complete profile of bus passengers
S Chen, X Liu, C Lyu, L Vlacic, T Tang, Z Liu
Transportation Research Part A: Policy and Practice 173, 103692, 2023
42023
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