@article{liu2024educating,title={Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge},author={Liu, Kai and Chen, Ze and Fu, Zhihang and Jiang, Rongxin and Zhou, Fan and Chen, Yaowu and Wu, Yue and Ye, Jieping},journal={arXiv preprint arXiv:2407.16724},month=jul,year={2024},}
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
@inproceedings{liu2024enhancing,title={Enhancing LLM's Cognition via Structurization},author={Liu, Kai and Fu, Zhihang and Chen, Chao and Zhang, Wei and Jiang, Rongxin and Zhou, Fan and Chen, Yaowu and Wu, Yue and Ye, Jieping},booktitle={Conference on Neural Information Processing Systems},month=nov,year={2024},}
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
@inproceedings{liu2024rethinking,title={Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution},author={Liu, Kai and Fu, Zhihang and Jin, Sheng and Chen, Chao and Chen, Ze and Jiang, Rongxin and Zhou, Fan and Chen, Yaowu and Ye, Jieping},booktitle={Conference on Neural Information Processing Systems},month=nov,year={2024},}
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
@article{liu2024esod,title={ESOD: Efficient Small Object Detection on High-Resolution Images},author={Liu, Kai and Fu, Zhihang and Jin, Sheng and Chen, Ze and Zhou, Fan and Jiang, Rongxin and Chen, Yaowu and Ye, Jieping},journal={arXiv preprint arXiv:2407.16424},month=jul,year={2024},}
Training-free Boost for Open-Vocabulary Object Detection with Confidence Aggregation
@article{zheng2024training,title={Training-free Boost for Open-Vocabulary Object Detection with Confidence Aggregation},author={Zheng, Yanhao and Liu, Kai},journal={arXiv preprint arXiv:2404.08603},month=may,year={2024},}
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
@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},}
2023
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
@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},}
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
@inproceedings{chen2023optimal,title={Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection},author={Chen, Chao and Fu, Zhihang and Liu, Kai and Chen, Ze and Tao, Mingyuan and Ye, Jieping},booktitle={Conference on Neural Information Processing Systems},month=nov,year={2023},}
@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},}