Chenxi Liu
Research Fellow
S-LAB, Nanyang Technological University
ABN-02b-11, Academic Block North, 61 Nanyang Dr, Singapore

Email: chenxi.liu@ntu.edu.sg

[Google Scholar] [ResearchGate] [ORCID]

About me | Publications | Selected Awards | Professional Activities

About Me

I am a research fellow at S-LAB, Nanyang Technological University (NTU), supervised by Prof. Cheng Long. Before that, I was a PhD student at the College of Computer Science and Electronic Engineering, Hunan University (HNU), advised by Prof. Dong Wang and Prof. Zhu Xiao. And I was a research intern at Zhejiang Lab, supervised by Prof. Hongyang Chen.

My research interests primarily focus on spatio-temporal data mining, trajectory analytics, and large language models.

Publications
  • [TITS] Chenxi Liu, Zhu Xiao, Cheng Long, Dong Wang, Tao Li, Hongbo Jiang: MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction. IEEE Transactions on Intelligent Transportation Systems , 2024.
  • [MDM] Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao: Spatial-Temporal Large Language Model for Traffic Prediction. IEEE International Conference on Mobile Data Management , 2024.
  • [ICDE] Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li: LightTR: A Lightweight Framework for Federated Trajectory Recovery. IEEE International Conference on Data Engineering, 2024.
  • [WWWJ] Jiawei Cai, Dong Wang, Hongyang Chen, Chenxi Liu, Zhu Xiao: Modeling Dynamic Spatiotemporal User Preference for Location Prediction: A Mutually Enhanced Method. World Wide Web, 2024.
  • [WWWJ] Chenxi Liu, Zhu Xiao, Dong Wang, Minhao Cheng, Hongyang Chen, Jiawei Cai: Foreseeing Private Car Transfer between Urban Regions with Multiple Graph-based Generative Adversarial Networks. World Wide Web, 2023.
  • [TNSE] Chenxi Liu, Zhu Xiao, Dong Wang, Lei Wang, Hongbo Jiang, Jiangxia Yu: Exploiting Spatiotemporal Correlations of Arrive-Stay-Leave Behaviors for Private Car Flow Prediction. IEEE Transactions on Network Science and Engineering, 2022.
  • [JSEN] Chenxi Liu, Jiawei Cai, Dong Wang, Jiaxin Tang, Lei Wang, Huiling Chen, Zhu Xiao: Understanding the Regular Travel Behavior of Private Vehicles: An Empirical Evaluation and A Semi-supervised Model. IEEE Sensors Journal, 2021.
  • [TITS] Jianhua Xiao, Zhu Xiao, Dong Wang, Vincent Havyarimana, Chenxi Liu, Chengming Zhou, Di Wu: Vehicle Trajectory Interpolation Based on Ensemble Transfer Regression. IEEE Transactions on Intelligent Transportation Systems, 2021.
  • [JOC] Chenxi Liu, Dong Wang, Huiling Chen, Renfa Li: Forecasting Urban Private Car Volumes based on Multi-source Heterogeneous Data Fusion. Journal on Communication, 2021.
  • [ISCI] Guangyin Jin, Chenxi Liu, Zhexu Xi, Hengyu Sha, Yanyun Liu, Jincai Huang: Adaptive Dual-View WaveNet for Urban Spatial-temporal Event Prediction. Information Sciences, 2021.
  • [HPCC] Huiling Chen, Dong Wang, Chenxi Liu: Towards Semantic Travel Behavior Prediction for Private Car Users. IEEE International Conference on High Performance Computing and Communications, 2020.

Selected Awards

Contributed Book
  • 2022, Practical Applications of Deep Learning in Traffic Big Data, Tsinghua University Press (ISBN: 978-7-302-60292-7)
    • Authored Chapter 9, which provides an exploration of practical approaches to private vehicle trajectory data mining.

Professional Activities

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