Hongyu Zheng
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Hongyu Zheng 001 (Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA)
- Hongyu Zheng 002 (Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China)
- Hongyu Zheng 003 (Huanghuai University, School of Intelligent Manufacturing, Zhumadian, China)
Bibliography
2024
How Many Are Too Many? Analyzing Dockless Bike-Sharing Systems with a Parsimonious Model.
Transp. Sci., 2024
Control Simulation of Flapping-Wing Micro Aerial Vehicle Based on Multi-Level Optimization Model Predictive Control.
IEEE Access, 2024
2023
Eng. Appl. Artif. Intell., May, 2023
On the size-dependent bending and buckling of the partially covered laminated microplate.
Eng. Comput., February, 2023
2022
M2FN: A Multilayer and Multiattention Fusion Network for Remote Sensing Image Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022
Consensus-based clustering of single cells by reconstructing cell-to-cell dissimilarity.
Briefings Bioinform., 2022
2021
BMC Bioinform., 2021
TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs.
Briefings Bioinform., 2021
2019
Compatibility mix degree index: A novel measure to characterize urban land use mix pattern.
Comput. Environ. Urban Syst., 2019
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services.
IEEE Trans. Intell. Transp. Syst., 2019
How Does On-Demand Ridesplitting Influence Vehicle Use and Purchase Willingness? A Case Study in Hangzhou, China.
IEEE Intell. Transp. Syst. Mag., 2019
CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering.
CoRR, 2019
2018
Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018
2017
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach.
CoRR, 2017