Publications

• Yanbei Liu, Chongxu Wang, Zhitao Xiao, Lei Geng, Yanwei Pang. HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport. International Conference on Machine Learning (ICML), 2025. ( CCF-A会议 )

• Die Hu, Yanbei Liu, Xiao Wang, Lei Geng, Fang Zhang, Zhitao Xiao, Jerry Chun-Wei Lin. Multi-information fusion graph convolutional network for cancer driver gene identification. Pattern Recognition, 2025. ( SCI 一区, TOP期刊, IF=7.52 )

• Xin Wei, Yanbei Liu, Fang Zhang, Lei Geng, Chunyan Shan, Xiangyu Cao and Zhitao Xiao. MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification.Medical Image Analysis (MedIA), 2025. ( SCI一区, Top期刊, IF:10.71 )

• Yanbei Liu, Yu Zhao, Zhitao Xiao, Lei Geng, Xiao Wang, Yanwei Pang, Jerry Chun-Wei Lin. Multi-scale subgraph adversarial contrastive learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025. ( SCI 一区, TOP期刊, IF=10.21 )

• Yanbei Liu, Xinwen Peng, Xin Wei, Lei Geng, Fang Zhang, Zhitao Xiao, Jerry Chun-Wei Lin. Label-Aware Dual Graph Neural Networks for Multi-Label Fundus Image Classification. IEEE Journal of Biomedical and Health Informatics (J-BHI), 2024. ( Q1, TOP期刊, IF=7.7 )

• Yanbei Liu, Lu Yu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Shuai Ma, Yanwei Pang. Graph neural networks with adaptive confidence discrimination. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. ( SCI 一区, TOP期刊, IF=10.21 )

• Yanbei Liu, Lianxi Fan, Xiao Wang, Zhitao Xiao, Shuai Ma, Yanwei Pang, Jerry Chun-Wei Lin. HGBER: Heterogeneous graph neural network via bidirectional encoding representation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, 35(7):9340-9351. ( SCI 一区, TOP期刊, IF=14.255 ) [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}
  }
      

• Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen. Structural attention graph neural network for diagnosis and prediction of COVID-19 severity. IEEE Transaction on Medical Imaging(TMI), 2022, 42(2):557-567.( SCI 一区, TOP期刊, IF=11.037 )

• Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen. Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis. Medical Image Analysis (MedIA), 2021,69: 1-10. ( SCI一区, Top期刊, IF:11.148 ) [Code]

• Yanbei Liu, Wanjin Shan, Xiao Wang, Zhitao Xiao, Lei Geng, Fang Zhang, Dongdong Du, Yanwei Pang. Cross-scale contrastive triplet networks for graph representation learning. Pattern Recognition, 2024, 145: 1-11. ( SCI 一区, TOP期刊, IF=8.48 ) [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--11},
        year={2024},
        publisher={Elsevier}
  }
  

• Yanbei Liu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Jerry Chun-Wei Lin. Self-consistent graph neural networks for semi-supervised node classification. IEEE Transaction on Big Data (TBD), 2023, 9(4):1186-1197. ( Q1, IF=7.21 ) [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}
  }
    

• Yanbei Liu, Jinxin Liu, Zhongqiang Wang, Xiao Wang, Fang Zhang, Zhitao Xiao. Binarized network embedding with community structural information. Information Science, 2022,616: 204-216. ( SCI 一区, TOP期刊, IF=8.233 )

• Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao. Multi-Scale subgraph contrastive learning. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2023. ( CCF-A会议 ) [Paper] [Code] [Bibtex]
  

     @article{liu2024multi,
      title={Multi-scale subgraph contrastive learning},
      author={Liu, Yanbei and Zhao, Yu and Wang, Xiao and Geng, Lei and Xiao, Zhitao},
      journal={arXiv preprint arXiv:2403.02719},
      year={2024}
  } 
    

• Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao. Independence promoted graph disentangled networks. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.( CCF-A会议 ) [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}
  }
      

• Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang. Unsupervised feature selection via diversity-induced self-representation. Neurocomputing, 2017, 219: 350-363.

• Yanbei Liu, Qi Wang, Xiao Wang, Fang Zhang, Lei Geng, Jun Wu, Zhitao Xiao. Community enhanced graph convolutional networks. Pattern Recognition Letters (PRL), 2020, 138: 462-468.

• Yanbei Liu, Lei Geng, Fang Zhang, Jun Wu, Liang Zhang, Zhitao Xiao. Unsupervised feature selection based on ideal local structure learning. Multimedia Tools and Applications, 2019: 1-15.

• Yanbei Liu, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang, Zhitao Xiao. Entropy-based active sparse subspace clustering. Multimedia Tools and Applications, 2018(3):1-17.

• Zhitao Xiao, Xiaomeng Zhang, Yanbei Liu*, Lei Geng, Jun Wu, Wen Wang, Fang Zhang. RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation. Signal, Image and Video Processing, 2023:1-7.

• Fang Zhang, Wen Qin, Yanbei Liu*, Zhitao Xiao, Jinxin Liu, Qi Wang, Kaihua Liu. A dual-channel convolution neural network for image smoke detection. Multimedia Tools and Applications, 2020, 79: 34587-34603.

• Jun Wu, Juan Le, Zhitao Xiao, Fang Zhang, Lei Geng, Yanbei Liu, Wen Wang. Automatic fabric defect detection using a wide-and-light network[J]. Applied Intelligence, 2021, 51(7): 4945-4961.

• Zhitao Xiao, Naichao Du, Lei Geng, Fang Zhang, Jun Wu, Yanbei Liu. Multi-scale heterogeneous 3D CNN for false-positive reduction in pulmonary nodule detection, based on chest CT images[J]. Applied Sciences, 2019, 9(16): 3261-3272.

• Yu Qin, Yihan Guo, Liyu Wang, Yanbei Liu*, Xiaomeng Zhang, Zijun Li, Zixin Cai, Jieyang He. CNN-Transformer combined with skip structure for tuberculosis cavity segmentation. In Proceedings of the International Conference on Computing and Artificial Intelligence (ICCAI), 2023:131-138.

• Lijun Jiao,Yanbei Liu*,Yaning Gu, Jun Wu, Fang Zhang. Multi-Scale TransUnet Combined with CBAM for Nuclear Image Segmentation. In Proceedings of the 12th International Conference on Computing and Pattern Recognition (ICCPR), 2023.

• 刘彦北,李赫南,张长青,肖志涛,张芳,隗英,高耀宗,石峰,单飞,沈定刚.结构图注意力网络的新冠肺炎轻重症诊断算法[J].中国图象图形学报, 2022, (27) 3:750-761.

• 张芳,赵东旭,肖志涛,耿磊,吴骏,刘彦北.单幅图像超分辨率重建技术研究进展[J].自动化学报, 2021, 47:10001-10021.