Personal Homepage

Personal Information

MORE+

Associate Professor
Supervisor of Doctorate Candidates

E-Mail:

Date of Employment:2023-01-16

School/Department:Institute of Artificial Intelligence

Education Level:博士研究生

Business Address:New Building B1007

Contact Information:shirongye@buaa.edu.cn

Alma Mater:Carnegie Mellon University

Rongye Shi

+

Education Level:博士研究生

Alma Mater:Carnegie Mellon University

Paper

Current position: Home / Paper
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation

Journal:ECML-PKDD 2021
Co-author:Gotz Brasche
First Author:Cristian Axenie,Rongye Shi,Daniele Foroni,Alexander Wieder,Mohamad Al Hajj Hassan,Paolo Sottovia,Margherita Grossi,Stefano Bortoli
Indexed by:Essay collection
First-Level Discipline:Computer Science and Technology
Document Type:C
Translation or Not:no
Date of Publication:2021-09-10
Included Journals:EI