publications

publications by categories in reversed chronological order.

2024

  1. arxiv_struct.jpg
    Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge
    Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, and Jieping Ye
    arXiv preprint arXiv:2407.16724, Jul 2024
  2. nips24_struxgpt.jpg
    Enhancing LLM’s Cognition via Structurization
    Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, and Jieping Ye
    In Conference on Neural Information Processing Systems, Nov 2024
  3. nips24_imood.jpg
    Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
    Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, and Jieping Ye
    In Conference on Neural Information Processing Systems, Nov 2024
  4. arxiv_esod.jpg
    ESOD: Efficient Small Object Detection on High-Resolution Images
    Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, and Jieping Ye
    arXiv preprint arXiv:2407.16424, Jul 2024
  5. arxiv_aggdet.jpg
    Training-free Boost for Open-Vocabulary Object Detection with Confidence Aggregation
    Yanhao Zheng, and Kai Liu
    arXiv preprint arXiv:2404.08603, May 2024
  6. iclr24_inside.png
    INSIDE: LLMs’ Internal States Retain the Power of Hallucination Detection
    Chao Chen, Kai Liu, Ze Chen, Yi Gu, Mingyuan Tao, Zhihang Fu, and Jieping Ye
    In International Conference on Learning Representations, May 2024

2023

  1. nips23_catex.png
    Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
    Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, and Jieping Ye
    In Conference on Neural Information Processing Systems, Nov 2023
  2. nips23_opnp.png
    Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
    Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, and Jieping Ye
    In Conference on Neural Information Processing Systems, Nov 2023
  3. iccv23_u2mot.png
    Uncertainty-aware Unsupervised Multi-Object Tracking
    Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, and Jieping Ye
    In International Conference of Computer Vision, Oct 2023