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
Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning.
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