He is an Associate Professor at Tiangong University, China. Before that, he received the Ph.D degree from Tianjin University in Jan. 2017. After finishing the Ph.D degree, he worked as a postdoc researcher at Tianjin University from Jul. 2020 to Jul. 2022, under the supervision of Prof. Yanwei Pang. His research interests are in graph neural networks, machine learning, and intelligent healthcare. He has published 40 peer reviewed papers in top venues in AI.

Latest News

• [05/2025] One paper was accepted by ICML.

• [03/2025] One paper was accepted by PR.

• [02/2025] One paper was accepted by MedIA.

• [02/2025] One paper was accepted by IEEE TNNLS.

• [09/2024] One paper was accepted by IEEE J-BHI.

• [08/2024] One paper was accepted by IEEE TNNLS.

• [02/2024] One paper was accepted by PR.

• [01/2023] One paper was accepted by IEEE TBD.

• [01/2023] One paper was accepted by IEEE TNNLS.

• [01/2023] One paper was accepted by IJCAI.

• [01/2023] One paper was accepted by IEEE TMI.

Selected Publications

• HGBER: Heterogeneous graph neural network via bidirectional encoding representation
  Yanbei Liu, Lianxi Fan, Xiao Wang, Zhitao Xiao, Shuai Ma, Yanwei Pang, Jerry Chun-Wei Lin
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
  [Paper] [Code] [Bibtex]
  

      @article{liu2023hgber,
        title={HGBER: Heterogeneous graph neural network with bidirectional encoding representation},
        author={Liu, Yanbei and Fan, Lianxi and Wang, Xiao and Xiao, Zhitao and Ma, Shuai and Pang, Yanwei and Lin, Jerry Chun-Wei},
        journal={IEEE Transactions on Neural Networks and Learning Systems},
        volume={35},
        number={7},
        pages={9340--9351},
        year={2023},
        publisher={IEEE}
  }
      

• Structural attention graph neural network for diagnosis and prediction of COVID-19 severity
  Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
  IEEE Transaction on Medical Imaging (TMI), 2023
  [Paper] [Bibtex]
  

     @article{liu2022structural,
      title={Structural attention graph neural network for diagnosis and prediction of COVID-19 severity},
      author={Liu, Yanbei and Li, Henan and Luo, Tao and Zhang, Changqing and Xiao, Zhitao and Wei, Ying and Gao, Yaozong and Shi, Feng and Shan, Fei and Shen, Dinggang},
      journal={IEEE Transactions on Medical Imaging},
      volume={42},
      number={2},
      pages={557--567},
      year={2022},
      publisher={IEEE}
  }
      

• Self-consistent graph neural networks for semi-supervised node classification
  Yanbei Liu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Jerry Chun-Wei Lin
  IEEE Transaction on Big Data (TBD), 2023
  [Paper] [Code] [Bibtex]
  

      @article{liu2023self,
        title={Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification},
        author={Liu, Yanbei and Zhao, Shichuan and Wang, Xiao and Geng, Lei and Xiao, Zhitao and Lin, Jerry Chun-Wei},
        journal={IEEE Transactions on Big Data},
        volume={9},
        number={4},
        pages={1186--1197},
        year={2023},
        publisher={IEEE}
  }
    

• Cross-scale contrastive triplet networks for graph representation learning
  Yanbei Liu, Wanjin Shan, Xiao Wang, Zhitao Xiao, Lei Geng, Fang Zhang, Dongdong Du, Yanwei Pang
  Pattern Recognition, 2024
  [Paper] [Code] [Bibtex]
  

      @article{liu2024cross,
        title={Cross-scale contrastive triplet networks for graph representation learning},
        author={Liu, Yanbei and Shan, Wanjin and Wang, Xiao and Xiao, Zhitao and Geng, Lei and Zhang, Fang and Du, Dongdong and Pang, Yanwei},
        journal={Pattern Recognition},
        volume={145},
        pages={1--10},
        year={2024},
        publisher={Elsevier}
  }
  

• Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis
  Yanbei Li, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen
  Medical Image Analysis (MedIA), 2021
  [Paper] [Code] [Bibtex]
  

      @article{liu2021incomplete,
        title={Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis},
        author={Liu, Yanbei and Fan, Lianxi and Zhang, Changqing and Zhou, Tao and Xiao, Zhitao and Geng, Lei and Shen, Dinggang},
        journal={Medical Image Analysis},
        volume={69},
        pages={1--11},
        year={2021},
        publisher={Elsevier}
  }
  

• Independence promoted graph disentangled networks
  Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao
  The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
  [Paper] [Code] [Bibtex]
  

      @inproceedings{liu2020independence,
        title={Independence promoted graph disentangled networks},
        author={Liu, Yanbei and Wang, Xiao and Wu, Shu and Xiao, Zhitao},
        booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
        volume={34},
        number={04},
        pages={4916--4923},
        year={2020}
  }
      

Services

• Conference Reviewer
  AAAI Conference on Artificial Intelligence (AAAI)
  The International Joint Conference on Artificial Intelligence (IJCAI)
  The International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  ACM International Conference on Multimedia (ACM-MM) ...

• Journal Reviewer
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  IEEE Transactions on Knowledge and Data Engineering (TKDE)
  IEEE Transactions on Cybernetics (TCYB)
  IEEE Transactions on Big Data (TBD)
  IEEE Transcations on Image Processing (TIP)
  IEEE Transaction on Medical Imaging (TMI)
  Pattern Recognition (PR) ...