Lei Lin
Lei Lin
Principal Data Scientist at Fidelity Investments
Verified email at - Homepage
Cited by
Cited by
Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
L Lin, Z He, S Peeta
Transportation Research Part C: Emerging Technologies 97, 258-276, 2018
A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction
L Lin, Q Wang, AW Sadek
Transportation Research Part C: Emerging Technologies 55, 444-459, 2015
Anonymousnet: Natural face de-identification with measurable privacy
T Li, L Lin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
A combined M5P tree and hazard-based duration model for predicting urban freeway traffic accident durations
L Lin, Q Wang, AW Sadek
Accident Analysis & Prevention 91, 114-126, 2016
Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach
S Ren, TM Choi, KM Lee, L Lin
Transportation Research Part E: Logistics and Transportation Review 134, 101834, 2020
Modeling the impacts of inclement weather on freeway traffic speed: exploratory study with social media data
L Lin, M Ni, Q He, J Gao, AW Sadek
Transportation research record 2482 (1), 82-89, 2015
A k nearest neighbor based local linear wavelet neural network model for on-line short-term traffic volume prediction
L Lin, Y Li, A Sadek
Procedia-Social and Behavioral Sciences 96, 2066-2077, 2013
Data Mining and Complex Networks Algorithms for Traffic Accident Analysis
L Lin, Q Wang, AW Sadek
Transportation Research Record: Journal of the Transportation Research Board …, 2014
Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development
L Lin, JC Handley, Y Gu, L Zhu, X Wen, AW Sadek
Transportation Research Part C: Emerging Technologies 92, 323-348, 2018
Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms
L Lin, W Li, H Bi, L Qin
IEEE Intelligent Transportation Systems Magazine 14 (2), 197-208, 2021
Border crossing delay prediction using transient multi-server queueing models
L Lin, Q Wang, AW Sadek
Transportation Research Part A: Policy and Practice 64, 65-91, 2014
Deep learning-based human-driven vehicle trajectory prediction and its application for platoon control of connected and autonomous vehicles
L Lin, S Gong, T Li, S Peeta
The Automated Vehicles Symposium 2018, 2018
Youtube av 50k: an annotated corpus for comments in autonomous vehicles
T Li, L Lin, M Choi, K Fu, S Gong, J Wang
2018 International Joint Symposium on Artificial Intelligence and Natural …, 2018
On-line prediction of border crossing traffic using an enhanced Spinning Network method
L Lin, Q Wang, S Huang, AW Sadek
Transportation Research Part C: Emerging Technologies 43, 158-173, 2013
Music sequence prediction with mixture hidden markov models
T Li, M Choi, K Fu, L Lin
2019 IEEE International Conference on Big Data (Big Data), 6128-6132, 2019
Short-term forecasting of traffic volume: evaluating models based on multiple data sets and data diagnosis measures
L Lin, Q Wang, A Sadek
Transportation Research Record: Journal of the Transportation Research Board …, 2013
A novel dynamic pricing scheme for a large-scale electric vehicle sharing network considering vehicle relocation and vehicle-grid-integration
S Ren, F Luo, L Lin, SC Hsu, XI Li
International Journal of Production Economics, 2019
Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data
L Zhu, J Gonder, L Lin
Journal of Advanced Transportation, 2017
Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19
L Lin, F Shi, W Li
Scientific reports 11 (1), 1-7, 2021
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
L Lin, B Xu, W Wu, TW Richardson, EA Bernal
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
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