Yang Liu

Postdoc at GeoEngineering

​Yang Liu is a Marie Skłodowska-Curie Fellow (MSCA-IF) in the Department of Architecture and Civil Engineering. Dr. Yang Liu has gained a wealth of experience in the theory of interdisciplinary applications of machine learning techniques and has published 10 JCR Q1 journal papers. Yang Liu is also experienced in the practice of AI techniques such as reinforcement learning and deep learning and has also won several world prizes in AI competitions organized by leading international AI conferences or research institutes, including the 1st place of KDD Cup, the most well-known algorithm competition in data mining.

Source: chalmers.se
Image of Yang Liu

Showing 8 publications

2022

Full-scale spatio-temporal traffic flow estimation for city-wide networks: a transfer learning based approach

Yuan Zhang, Qixiu Cheng, Yang Liu et al
Transportmetrica B. Vol. In Press
Journal article
2022

Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control

Shen Li, Yang Liu, Xiaobo Qu
IEEE/CAA Journal of Automatica Sinica. Vol. 9 (6), p. 1107-1110
Other text in scientific journal
2022

Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

Yang Liu, Fanyou Wu, Cheng Lyu et al
Transportation Research Part E: Logistics and Transportation Review. Vol. 161
Journal article
2022

A spatio-temporal deep learning model for short-term bike-sharing demand prediction

Ruo Jia, Richard Chamoun, Alexander Wallenbring et al
ELECTRONIC RESEARCH ARCHIVE. Vol. 31 (2), p. 1031-1047
Journal article
2022

How machine learning informs ride-hailing services: A survey

Yang Liu, Ruo Jia, Jieping Ye et al
Communications in Transportation Research. Vol. 2
Review article
2022

Editorial for the Special Issue on Laser Additive Manufacturing: Design, Processes, Materials and Applications

Jie Yin, Yang Liu, Ping Zhao
Micromachines. Vol. 13 (12)
Other text in scientific journal
2022

Personalized Modeling of Travel Behaviors and Traffic Dynamics

Cheng Lyu, Yang Liu, Liang Wang et al
Journal of Transportation Engineering Part A: Systems. Vol. 148 (10)
Journal article
2021

DeepTSP: Deep traffic state prediction model based on large-scale empirical data

Yang Liu, Cheng Lyu, Yuan Zhang et al
Communications in Transportation Research. Vol. 1
Journal article

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.

Showing 3 research projects

2021–2023

ATEM - Accelerating transport electrification by machine learning

Xiaobo Qu GeoEngineering
Jiaming Wu GeoEngineering
Yang Liu Transportgruppen
European Commission (EC)

2021–2023

Accelerating transport electrification by machine learning

Xiaobo Qu GeoEngineering
Yang Liu GeoEngineering
Ziling Zeng GeoEngineering
Mingyang Pei Automatic Control
Jiaming Wu GeoEngineering
European Commission (EC)
Chalmers

2020–2023

ICV-Safe: Testing safety of intelligent connected vehicles in open and mixed road environment

Xiaobo Qu GeoEngineering
Jiaming Wu GeoEngineering
Kun Gao GeoEngineering
Yang Liu GeoEngineering
VINNOVA

There might be more projects where Yang Liu participates, but you have to be logged in as a Chalmers employee to see them.