Kai Liu

Zhejiang University

Hangzhou, 38 Zheda Road.

Email: kail@zju.edu.cn

I am a Ph.D. student at the College of Biomedical Engineering and Instrument Science, Zhejiang University, during the supervision from Prof. Fan Zhou and Prof. Yaowu Chen from 2020 to present. I am currently a research intern at Apsara Lab, Alibaba Cloud.

My research interests lie in uncertainty estimation, open-world learning, middle-level image analysis (recognition, detection, tracking, etc.), vision-language applications, and large language models. I’m always looking for related collaboration. If you are interested to chat with me, feel free to drop me an email. Here is my CV.

Listed below are the accepted papers in top conferences and journals where I worked as the first author. Here are the full lists of publications and the repositories will come soon. I look forward to continuing to make valuable contributions to computer vision as well as natural language processing.

news

Jul 28, 2024	A number of ArXiv papers are released! Code will come soon!
Feb 4, 2024	More ArXiv papers and GitHub repositories are coming soon!
Feb 1, 2024	Recipient of Alibaba Cloud’s Outstanding Research Intern Award (top-5%)!
Jan 15, 2024	One paper is accpted by ICLR’24!
Dec 14, 2023	Two papers are accpted by NeurIPS’23!

selected publications

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

Bib PDF

@inproceedings{chen2024inside,
  title = {INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection},
  author = {Chen, Chao and Liu, Kai and Chen, Ze and Gu, Yi and Tao, Mingyuan and Fu, Zhihang and Ye, Jieping},
  booktitle = {International Conference on Learning Representations},
  month = may,
  year = {2024},
}

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

Bib PDF

@inproceedings{liu2023category,
  title = {Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions},
  author = {Liu, Kai and Fu, Zhihang and Chen, Chao and Jin, Sheng and Chen, Ze and Tao, Mingyuan and Jiang, Rongxin and Ye, Jieping},
  booktitle = {Conference on Neural Information Processing Systems},
  month = nov,
  year = {2023},
}

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

Bib PDF Code

@inproceedings{liu2023u2mot,
  title = {Uncertainty-aware Unsupervised Multi-Object Tracking},
  author = {Liu, Kai and Jin, Sheng and Fu, Zhihang and Chen, Ze and Jiang, Rongxin and Ye, Jieping},
  booktitle = {International Conference of Computer Vision},
  month = oct,
  year = {2023},
  pages = {9996-10005},
}