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2025

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Computer Science

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6577
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  • 2025 - Research.com Rising Stars Award

Overview

Yang Xing is affiliated with Cranfield University in the United Kingdom, with a focus on research in engineering, particularly in the subfields of automotive engineering, control and systems engineering, computer vision and pattern recognition, social psychology, and building and construction.

Their research portfolio includes a strong emphasis on topics related to autonomous vehicle technology and safety, traffic control and management, human-automation interaction and safety, traffic prediction and management techniques, traffic and road safety, vehicle emissions and performance, and vehicular ad hoc networks (VANETs).

Yang Xing has contributed to several recent publications, notably:

  • Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys (2022), published in IEEE Transactions on Intelligent Vehicles
  • Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives (2022), published in IEEE Transactions on Intelligent Vehicles
  • Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network (2022), published in IEEE Transactions on Intelligent Transportation Systems
  • An ensemble deep learning approach for driver lane change intention inference (2020), published in Transportation Research Part C Emerging Technologies

Frequent co-authors in Yang Xing's work include Chen Lv, Dongpu Cao, Zhongxu Hu, Peng Hang, and Chao Huang.

Their research has been published extensively across various venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Intelligent Transportation Systems Magazine
  • Sensors

Best Publications

  • Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach

    Yang Xing;Chen Lv;Huaji Wang;Dongpu Cao

  • Levenberg–Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System

    Chen Lv;Yang Xing;Junzhi Zhang;Xiaoxiang Na

  • Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network

    Unknown

  • Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

    Peng Hang;Chen Lv;Yang Xing;Chao Huang

  • Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

    Yang Xing;Chen Lv;Huaji Wang;Hong Wang

  • Personalized Vehicle Trajectory Prediction Based on Joint Time-Series Modeling for Connected Vehicles

    Yang Xing;Chen Lv;Dongpu Cao

  • An ensemble deep learning approach for driver lane change intention inference

    Yang Xing;Chen Lv;Huaji Wang;Dongpu Cao

  • Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision

    Yang Xing;Chen Lv;Long Chen;Huaji Wang

  • An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors

    Peng Hang;Chen Lv;Chao Huang;Jiacheng Cai

  • Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

    Yang Xing;Chen Lv;Dongpu Cao;Peng Hang

  • Decision-making in driver-automation shared control: A review and perspectives

    Wenshuo Wang;Xiaoxiang Na;Dongpu Cao;Jianwei Gong

  • Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding

    Zhiyu Huang;Chen Lv;Yang Xing;Jingda Wu

  • Driving conditions-driven energy management strategies for hybrid electric vehicles: A review

    Teng Liu;Teng Liu;Wenhao Tan;Xiaolin Tang;Jinwei Zhang

  • Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition

    Yang Xing;Chen Lv;Zhaozhong Zhang;Huaji Wang

  • Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach

    Peng Hang;Chen Lv;Chao Huang;Yang Xing

  • Risk Assessment and Mitigation in Local Path Planning for Autonomous Vehicles With LSTM Based Predictive Model

    Hong Wang;Bing Lu;Jun Li;Teng Liu

  • Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle

    Chen Lv;Yang Xing;Chao Lu;Yahui Liu

  • Dynamic State Estimation for the Advanced Brake System of Electric Vehicles by Using Deep Recurrent Neural Networks

    Yang Xing;Chen Lv

  • Decision Making of Connected Automated Vehicles at an Unsignalized Roundabout Considering Personalized Driving Behaviours

    Peng Hang;Chao Huang;Zhongxu Hu;Yang Xing

  • Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features

    Zhongxu Hu;Chen Lv;Peng Hang;Chao Huang

  • Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling

    Yang Xing;Chen Lv;Dongpu Cao;Chao Lu

  • CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit

    Wenbo Li;Guanzhong Zeng;Juncheng Zhang;Yan Xu

Frequent Co-Authors

Chen Lv
Chen Lv Nanyang Technological University
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Weihua Zhuang
Weihua Zhuang University of Waterloo

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