✉ Corresponding author; * Equal contribution.

Conference Papers

  1. Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors.
    K. Liu, S. Gao, Y. Fu, S. Gao
    Proc. Advances in Neural Information Processing Systems, 2025 (NeurIPS'25), .
    [Code] [Paper] [BibTeX] [Project]
  2. Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading.
    S. Tong, S. Gao, K. Liu, Z. Huang, H. Xu, H. Ying, J. Wu
    Proc. International Conference on Medical Image Computing and Computing Assisted Intervention (MICCAI'25), .
    [Code] [Paper] [BibTeX] [Project]
  3. Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models.
    K. Liu, S. Gao, Y. Fu, X. Wu, S. Tong, A. Rajan
    The 34th International Joint Conference on Artificial Intelligence (IJCAI'25), .
    [Code] [Paper] [BibTeX] [Project]
  4. A Denoising Pre-training Framework for Accelerating Novel Material Discovery.
    S. Shen*, K. Liu*✉, M. Zhu, H. Chen
    Proc. Annual AAAI Conference on Artificial Intelligence (AAAI'25), .
    [Code] [Paper] [BibTeX] [Project]
  5. KA2ER: Knowledge Adaptive Amalgamation of Experts for Medical Images Segmentation.
    S. Gao, Y. Fu, K. Liu, H. Xu, J. Wu
    Proc. International Conference on Medical Image Computing and Computing Assisted Intervention (MICCAI'24), CARE Challenge, .
    [Code] [Paper] [BibTeX] [Project]
  6. Boost Your Crystal Model with Denoising Pre-training.
    S. Shen*, K. Liu*, M. Zhu, H. Chen
    Proc. International Conference on Machine Learning (ICML'24), AI4Science Workshop, .
    [Code] [Paper] [BibTeX] [Project]
  7. Floating Anchor Diffusion Model for Multi-motif Scaffolding.
    K. Liu, S. Shen, W. Mao, X. Jiao, Z. Sun, H. Chen, C. Shen
    Proc. International Conference on Machine Learning (ICML'24), .
    [Code] [Paper] [BibTeX] [Project]
  8. Contrastive Knowledge Amalgamation for Unsupervised Image Classification.
    S. Gao*, Y. Fu*, K. Liu*, Y. Han
    Proc. International Conference on Artificial Neural Networks (ICANN'23), .
    Oral presentation
  9. Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling.
    B. Yang, J. Gu, K. Liu, X. Xu, R. Xu, H. Liu, H. Xu
    Proc. Knowledge Discovery and Data Mining (SIGKDD'23), .
  10. Group Equivariant Vision Transformer.
    R. Xu*, K. Yang*, K. Liu*✉, F. He
    Proc. Conference on Uncertainty in Artificial Intelligence (UAI'23), .
    [Code] [Paper] [BibTeX]
  11. PCVAE: A Physics-Informed Neural Network for Determining the Symmetry and Geometry of Crystals.
    K. Liu, S. Gao, K. Yang, Y. Han
    Proc. International Joint Conference on Neural Networks (IJCNN'23), .
    Oral presentation
    [Code] [Paper] [BibTeX]
  12. Learning Interest-oriented Universal User Representation via Self-supervision.
    Q. Sun, J. Gu, X. Xu, R. Xu, K. Liu, B. Yang, H. Liu, H. Xu
    Proc. International Conference on Multimedia (MM'22), .
    [Paper]
  13. S2SNet: A Pretrained Neural Network for Superconductivity Discovery.
    K. Liu, K. Yang, J. Zhang, R. Xu
    Proc. International Joint Conference on Artificial Intelligence (IJCAI'22), .
    [Code] [Paper] [BibTeX]

Journal Papers

  1. A Deep-Learning Approach for Low-Spatial-Coherence Imaging in Computer-Generated Holography.
    X. Tong, R. Xu, K. Liu, L. Zhao, W. Zhu, D. Zhao
    Advanced Photonics Research.
    [Paper] [Code] [BibTeX]
  2. Low-Data Drug Design with Few-Shot Generative Domain Adaptation.
    K. Liu, Y. Han, Z. Gong, H. Xu
    BioEngineering.
  3. Collaborative Knowledge Amalgamation: Preserving Discriminability and Transferability in Unsupervised Learning.
    S. Gao*, Y. Fu*, K. Liu*, W. Gao, H. Xu, J. Wu, Y. Han
    Information Sciences.
  4. A Periodicity Aware Transformer for Crystal Property Prediction.
    K. Liu, K. Yang, S. Gao
    Neural Computing and Applications.