On September 6th, Lin Lei, a senior research scientist at the University of Rochester in the United States, was invited to visit our base for a visit and exchange. In the conference room on the fourth floor of the School of Information, she gave a lecture entitled "Predicting Station-level Hourly Demand in a Large-scale". Bike-sharing Network: A Graph Convolutional Neural Network Approach. This report shows Dr. Lin's latest research results, based on graphical convolutional neural networks for large-scale shared bicycle network hourly demand forecasting. The study predicts the hourly demand for each station by establishing a new type of graphical convolutional neural network that considers data-driven image filters by learning the hidden differences between sites; the model explores two different architectures: containing volumes the normal architecture of the product and feedforward blocks, and the superposition considers an improved architecture that includes loop blocks from the long-term short-term memory neural network architecture. After the special report, Dr. Lin and the participating teachers and students had a heated discussion on topics such as “data-driven research and processing methods when data and actual needs did not match” and “vehicle pose prediction based on convolutional neural networks”. The content of the report was highly praised by the teachers and students. More than 20 young teachers and graduate students from the base participated in the seminar.

Expert introduction:

Lin Lei is a senior research scientist at the Georgene School of Data Science at the University of Rochester. He received his Ph.D. in Civil Engineering and a Masters in Computer Science from the State University of New York at Buffalo in 2015. Prior to joining Rochester University, Dr. Lin served as an associate researcher at Purdue University - US Department of Transportation Intelligent Network Transportation Research Center from 2017 to 2018 and as a research scientist at the Conduent/PARC/Xerox Research Center in the United States from 2015-2017. Dr. Lin Lei's main research interests include: data-driven traffic big data, intelligent networked vehicles, medical health and machine learning research. He has published more than 35 top journal articles and conference papers.

Professor Lin Lei is making a report