Yang Liu

Doctor at Geology and Geotechnics

Dr. Yang Liu is a Marie Curie Fellow at Chalmers University of Technology. He serves as a Young Editor for two top-tier academic journals, including the Innovation (Cell Press’ flagship journal, Impact factor = 32.1) and IEEE/CAA Journal of Automatica Sinica (Impact factor = 11.8). In addition, he is an Associate Editor of IEEE Transactions on Intelligent Vehicles (Impact factor = 8.2) and Journal of Intelligent and Connected Vehicles. Dr. Yang Liu leads a European Union project and a project funded by the Swedish Innovation Agency. His work has been published in top international journals in the fields of intelligent transportation and automation, such as The Innovation, IEEE TCYB, IEEE TITS, IEEE TIV, IEEE/CAA JAS, IEEE ITSM, and CACAIE Transportation Research Part A/C/E. Dr. Yang Liu has received numerous awards for his research, including the IEEE ITSM Best Paper High Commendation Award, Honorable Mention of the COTA Best Dissertation Award, ICME Grand Challenge Second Runner-up Award, and the China Highway Society Outstanding Doctoral Dissertation Award. He is experienced in the practice of AI techniques and has won several world prizes in AI competitions organized by leading international AI conferences or research institutes (e.g., KDD, IJCAI, NeurIPS, CVPR, ICME, TRB), including the 1st place of KDD Cup, the most well-known algorithm competition in data mining.

Source: chalmers.se
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Showing 24 publications

2024

A Low-Rank Bayesian Temporal Matrix Factorization for the Transfer Time Prediction Between Metro and Bus Systems

Pan Wu, Mingyang Pei, Tao Wang et al
IEEE Transactions on Intelligent Transportation Systems. Vol. In Press
Journal article
2024

Insights into Travel Pattern Analysis and Demand Prediction: A Data-Driven Approach in Bike-Sharing Systems

Hongyi Lin, Yixu He, Shen Li et al
Journal of Transportation Engineering Part A: Systems. Vol. 150 (2)
Journal article
2024

An overview of solutions to the bus bunching problem in urban bus systems

Ying Yang, Junchi Cheng, Yang Liu
Frontiers of Engineering Management. Vol. In Press
Review article
2024

Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review

Ying Yang, Yang Liu, Guorong Li et al
Transportation Research Part E: Logistics and Transportation Review. Vol. 183
Journal article
2024

Exploring the design of reward functions in deep reinforcement learning-based vehicle velocity control algorithms

Yixu He, Yang Liu, Lan Yang et al
Transportation Letters. Vol. In Press
Journal article
2024

The role of intelligent technology in the development of urban air mobility systems: A technical perspective

Yang Liu, Cheng Lyu, Fan Bai et al
Fundamental Research. Vol. In Press
Journal article
2024

A Dynamic Transformation Car-Following Model for the Prediction of the Traffic Flow Oscillation

Shan Fang, Lan Yang, Xiangmo Zhao et al
IEEE Intelligent Transportation Systems Magazine. Vol. 16 (1), p. 174-198
Journal article
2023

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
2023

Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation

Kun Gao, Aoyong Li, Yang Liu et al
Sustainable Cities and Society. Vol. 98
Journal article
2023

Analysis of Driving Behavior in Unprotected Left Turns for Autonomous Vehicles using Ensemble Deep Clustering

Zichao Shen, Shen Li, Yang Liu et al
IEEE Transactions on Intelligent Vehicles. Vol. In Press
Journal article
2023

Envisioning the future of transportation: Inspiration of ChatGPT and large models

Xiaobo Qu, Hongyi Lin, Yang Liu
Communications in Transportation Research. Vol. 3
Other text in scientific journal
2023

How generative adversarial networks promote the development of intelligent transportation systems: A survey

Hongyi Lin, Yang Liu, Shen Li et al
IEEE/CAA Journal of Automatica Sinica. Vol. 10 (9), p. 1781-1796
Journal article
2023

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. 11 (1), p. 869-895
Journal article
2023

Bus timetable optimization model in response to the diverse and uncertain requirements of passengers for travel comfort

Peiqun Lin, Chenxing He, Lingshu Zhong et al
Electronic Research Archive. Vol. 31 (4), p. 2315-2336
Journal article
2023

Traffic flow prediction under multiple adverse weather based on self-attention mechanism and deep learning models

Wensong Zhang, Ronghan Yao, Xiaojing Du et al
Physica A: Statistical Mechanics and its Applications. Vol. 625
Journal article
2023

Jointly estimating the most likely driving paths and destination locations with incomplete vehicular trajectory data

Qi Cao, Yue Deng, Gang Ren et al
Transportation Research, Part C: Emerging Technologies. Vol. 155
Journal article
2023

Prospects of eVTOL and Modular Flying Cars in China Urban Settings

Chunlei Zheng, Yiping Yan, Yang Liu
Journal of Intelligent and Connected Vehicles. Vol. 6 (4), p. 187-189
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

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
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

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

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

A personalized recommendation system for multi-modal transportation systems

Fanyou Wu, Cheng Lyu, Yang Liu
Multimodal Transportation. Vol. 1 (2)
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

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Showing 10 research projects

2023–2025

Digital solutions for sustainable planning and management of shared micromobility using Big Data

Kun Gao Transportgruppen
Marina Wiemers Geology and Geotechnics 2
Yang Liu Geology and Geotechnics
VINNOVA

2023–2026

Electric Multimodal Transport Systems for Enhancing Urban Accessibility and Connectivity (eMATS)

Kun Gao Transportgruppen
Arsalan Najafi Geology and Geotechnics 2
Yang Liu Transportgruppen
Yuan Liao Physical Resource Theory 2
Omkar Parishwad Transportgruppen
Swedish Energy Agency
European Commission (EC)

1 publication exists
2022–2024

Facilitating sustainable development of sharing micro-mobility and transit multi-modal transport systems (eFAST)

Kun Gao Transportgruppen
Yang Liu Transportgruppen
Marina Wiemers Geology and Geotechnics 2
Ruo Jia Transportgruppen
AoA Transport
Swedish Energy Agency

2 publications exist
2022–2023

Applied AI for Connected and Autonomous Transportation Systems

Yang Liu Transportgruppen
VINNOVA

3 publications exist
2022–2023

Analyzing and promoting micro-shared mobility system leveraging big data

Kun Gao Geology and Geotechnics
Xiaobo Qu Geology and Geotechnics
Majid Astaneh Fluid Dynamics
Ruo Jia Transportgruppen
Yang Liu Geology and Geotechnics
AoA Transport Funds

2021–2023

Simulation-based and field tests for evaluating multi-dimensional performances of intelligent connected vehicles

Yang Liu Geology and Geotechnics
Kun Gao Geology and Geotechnics
Jelena Andric Vehicle Engineering and Autonomous Systems
Jiaming Wu Automatic Control
Xiaobo Qu Geology and Geotechnics
Ziling Zeng Geology and Geotechnics
VINNOVA

2 publications exist
2021–2023

ATEM - Accelerating transport electrification by machine learning

Yang Liu Geology and Geotechnics
Jiaming Wu Geology and Geotechnics
Xiaobo Qu Transportgruppen
European Commission (EC)

1 publication exists
2021–2023

Battery Ageing Prediction and Optimization in a Fleet of Electric Autonomous Vehicles

Kun Gao Transportgruppen
Xiaobo Qu Transportgruppen
Yang Liu Transportgruppen
Chalmers

2021–2023

Accelerating transport electrification by machine learning

Yang Liu Geology and Geotechnics
Ziling Zeng Geology and Geotechnics
Mingyang Pei Automatic Control
Jiaming Wu Geology and Geotechnics
Xiaobo Qu Transportgruppen
European Commission (EC)
Chalmers

2020–2023

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

Xiaobo Qu Geology and Geotechnics
Jiaming Wu Geology and Geotechnics
Kun Gao Geology and Geotechnics
Yang Liu Geology and Geotechnics
VINNOVA

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