Yichen Ding

Orcid: 0000-0002-6242-3506

According to our database1, Yichen Ding authored at least 14 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Virtual Reality for Interactive Medical Analysis.
Frontiers Virtual Real., 2022

Multi-Agent Path Finding with Priority Transfer Accompanied with Moving Obstacles.
Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Robust Feedback Controller Design based on Bode's Integrals for General Minimum-phase Systems.
Proceedings of the American Control Conference, 2022

2021
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2021

Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation.
IEEE Trans. Biomed. Eng., 2021

A hybrid of light-field and light-sheet imaging to study myocardial function and intracardiac blood flow during zebrafish development.
PLoS Comput. Biol., 2021

Blockchain-Based Cooperative Incentive System for Emergency Road Right Transferring.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020
A Multi-Dimensional Analysis of a Novel Approach for Wireless Stimulation.
IEEE Trans. Biomed. Eng., 2020

Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query.
IEEE Trans. Big Data, 2019

An Ensemble Method for Data Imputation.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2017
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Data-driven inverse learning of passenger preferences in urban public transits.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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