ProfessorsProfessors of University of California, BerkeleyYulin Liu

Yulin Liu

University of California, Berkeley

H-index: 9

North America-United States

About Yulin Liu

Yulin Liu, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Transportation Engineering, Aviation Economics, Machine Learning, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling Household Online Shopping Demand in the US: A Machine Learning Approach and Comparative Investigation between 2009 and 2017

Causal Analysis of Flight En Route Inefficiency

Modeling Go-Around Occurrence Using Principal Component Logistic Regression

Quantity-Contingent Auctions and Allocation of Airport Slots

Dispatch of Autonomous Vehicles for Taxi Services: A Deep Reinforcement Learning Approach

Trajectory Modeling in the National Airspace System: Data Mining, Inference, and Deep Generative Models

Predicting Go-around Occurrence with Input-Output Hidden Markov Model

On the Existence of System-Optimum–Inducing Tolling Functions for Transportation Networks

Yulin Liu Information

University	University of California, Berkeley
Position	Institute of Transportation Studies
Citations(all)	360
Citations(since 2020)	347
Cited By	83
hIndex(all)	9
hIndex(since 2020)	9
i10Index(all)	9
i10Index(since 2020)	9
Email	Access Email
University Profile Page	University of California, Berkeley
Google Scholar	View Google Scholar Profile

Yulin Liu Skills & Research Interests

Transportation Engineering

Aviation Economics

Machine Learning

Reinforcement Learning

Top articles of Yulin Liu

Title	Journal	Author(s)	Publication Date
Modeling Household Online Shopping Demand in the US: A Machine Learning Approach and Comparative Investigation between 2009 and 2017	Transportation	Limon Barua Bo Zou Yan Zhou Yulin Liu	2021/12
Causal Analysis of Flight En Route Inefficiency	Transportation Research Part B: Methodological	Yulin Liu Mark Hansen Michael O Ball David J Lovell	2021/9/1
Modeling Go-Around Occurrence Using Principal Component Logistic Regression	Transportation Research Part C: Emerging Technologies	Lu Dai Yulin Liu Mark Hansen	2021/8/1
Quantity-Contingent Auctions and Allocation of Airport Slots	Transportation Science	Michael O Ball Alexander S Estes Mark Hansen Yulin Liu	2020/7
Dispatch of Autonomous Vehicles for Taxi Services: A Deep Reinforcement Learning Approach	Transportation Research Part C: Emerging Technologies	Chao Mao Yulin Liu Zuo-Jun Max Shen	2020/6/1
Trajectory Modeling in the National Airspace System: Data Mining, Inference, and Deep Generative Models		Yulin Liu	2020
Predicting Go-around Occurrence with Input-Output Hidden Markov Model		Lu Dai Yulin Liu Mark Hansen	2020
On the Existence of System-Optimum–Inducing Tolling Functions for Transportation Networks	Transportation Science	Xi Lin Fang He Meng Li Yulin Liu	2020/9/4