publications

2025

1. ICLR

   

   LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation

   Can Jin , Ying Li , Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, and Dimitris N. Metaxas

   In The Thirteenth International Conference on Learning Representations, 2025

   Bib PDF Code

   @inproceedings{jin2025lorvp,
     title = {LoR-{VP}: Low-Rank Visual Prompting for Efficient Vision Model Adaptation},
     author = {Jin, Can and Li, Ying and Zhao, Mingyu and Zhao, Shiyu and Wang, Zhenting and He, Xiaoxiao and Han, Ligong and Che, Tong and Metaxas, Dimitris N.},
     booktitle = {The Thirteenth International Conference on Learning Representations},
     year = {2025},
     url = {https://openreview.net/forum?id=5btFIv2PNb},
   }

2. WWW

   

   APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking

   Can Jin^*, Hongwu Peng^*, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han , Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, and Dimitris N Metaxas

   In Companion Proceedings of the ACM Web Conference 2025, Sydney, NSW, Australia, 2025

   DOI Bib PDF Code

   @inproceedings{jin2025apeer,
     title = {APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking},
     author = {Jin, Can and Peng, Hongwu and Zhao, Shiyu and Wang, Zhenting and Xu, Wujiang and Han, Ligong and Zhao, Jiahui and Zhong, Kai and Rajasekaran, Sanguthevar and Metaxas, Dimitris N},
     booktitle = {Companion Proceedings of the ACM Web Conference 2025},
     location = {Sydney, NSW, Australia},
     series = {WWW '25},
     year = {2025},
     doi = {10.1145/3701716.3717574},
     isbn = {979-8-4007-1331-6/2025/04},
     url = {https://arxiv.org/abs/2406.14449},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     keywords = {Prompt engineering, Information Retrieval, Large Language Model, ReRanking},
   }

3. WWW

   

   RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models

   Can Jin^*, Hongwu Peng^* , Anxiang Zhang , Nuo Chen , Jiahui Zhao, Xi Xie , Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, and Dimitris N Metaxas

   In Companion Proceedings of the ACM Web Conference 2025, Sydney, NSW, Australia, 2025

   DOI Bib PDF Code

   @inproceedings{jin2025rankflow,
     title = {RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models},
     author = {Jin, Can and Peng, Hongwu and Zhang, Anxiang and Chen, Nuo and Zhao, Jiahui and Xie, Xi and Li, Kuangzheng and Feng, Shuya and Zhong, Kai and Ding, Caiwen and Metaxas, Dimitris N},
     booktitle = {Companion Proceedings of the ACM Web Conference 2025},
     location = {Sydney, NSW, Australia},
     series = {WWW '25},
     year = {2025},
     doi = {10.1145/3701716.3717575},
     isbn = {979-8-4007-1331-6/2025/04},
     url = {https://arxiv.org/abs/2502.00709},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     keywords = {Information Retrieval, Large Language Model, ReRanking},
   }

2024

1. NeurIPS

   

   Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate

   Can Jin^*, Tong Che^*, Hongwu Peng^†, Yiyuan Li^†, Dimitris Metaxas^‡, and Marco Pavone^‡

   In Advances in Neural Information Processing Systems, 2024

   Bib PDF Code Poster Website

   @inproceedings{jin2024lot,
     author = {Jin, Can and Che, Tong and Peng, Hongwu and Li, Yiyuan and Metaxas, Dimitris and Pavone, Marco},
     booktitle = {Advances in Neural Information Processing Systems},
     editor = {Globerson, A. and Mackey, L. and Belgrave, D. and Fan, A. and Paquet, U. and Tomczak, J. and Zhang, C.},
     pages = {966--994},
     publisher = {Curran Associates, Inc.},
     title = {Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate},
     url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/01ce1ae7f94d139e4917f9e4425a4f38-Paper-Conference.pdf},
     volume = {37},
     year = {2024},
   }

2. AAAI

   

   Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective

   Can Jin^*, Tianjin Huang^*, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu , Shiwei Liu, and Tianlong Chen

   In The 39th Annual AAAI Conference on Artificial Intelligence, 2024

   Bib PDF Code

   @inproceedings{jin2024visual,
     title = {Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective},
     author = {Jin, Can and Huang, Tianjin and Zhang, Yihua and Pechenizkiy, Mykola and Liu, Sijia and Liu, Shiwei and Chen, Tianlong},
     booktitle = {The 39th Annual AAAI Conference on Artificial Intelligence},
     year = {2024},
     url = {https://arxiv.org/pdf/2312.01397},
   }

3. arXiv

   Graph Canvas for Controllable 3D Scene Generation

   Libin Liu , Shen Chen, Sen Jia, Jingzhe Shi, Zhongyu Jiang, Can Jin, Wu Zongkai, Jenq-Neng Hwang , and Lei Li

   arXiv preprint arXiv:2412.00091, 2024

   Bib PDF

   @article{liu2024graph,
     title = {Graph Canvas for Controllable 3D Scene Generation},
     author = {Liu, Libin and Chen, Shen and Jia, Sen and Shi, Jingzhe and Jiang, Zhongyu and Jin, Can and Zongkai, Wu and Hwang, Jenq-Neng and Li, Lei},
     journal = {arXiv preprint arXiv:2412.00091},
     year = {2024},
   }