Publications

2025

1. 

   Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning

   Pengxiang Li* , Zhi Gao* , Bofei Zhang , Yapeng Mi , Xiaojian Ma , Chenrui Shi , Tao Yuan , Yuwei Wu^✉ , Yunde Jia , Song-Chun Zhu , and Qing Li^✉

   arXiv preprint arXiv:2504.21561, 2025

   arXiv Bib Website

   @article{2025iterative,
     title = {Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning },
     author = {Li, Pengxiang and Gao, Zhi and Zhang, Bofei and Mi, Yapeng and Ma, Xiaojian and Shi, Chenrui and Yuan, Tao and Wu, Yuwei and Jia, Yunde and Zhu, Song-Chun and Li, Qing},
     equalauthor = { Li, Pengxiang and Gao, Zhi},
     journal = {arXiv preprint arXiv:2504.21561},
     year = {2025},
     correspondence = {Wu, Yuwei and Li, Qing},
   }

2. 

   Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage Spotlight

   Zhi Gao* , Bofei Zhang* , Pengxiang Li* , Xiaojian Ma , Tao Yuan , Yue Fan , Yuwei Wu^✉ , Yunde Jia , Song-Chun Zhu , and Qing Li^✉

   International Conference on Learning Representations (ICLR), 2025

   Bib Website

   Spotlight

   @article{2025mat,
     title = {Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage},
     author = {Gao, Zhi and Zhang, Bofei and Li, Pengxiang and Ma, Xiaojian and Yuan, Tao and Fan, Yue and Wu, Yuwei and Jia, Yunde and Zhu, Song-Chun and Li, Qing},
     equalauthor = {Gao, Zhi and Zhang, Bofei and Li, Pengxiang},
     correspondence = {Wu, Yuwei and Li, Qing},
     year = {2025},
     journal = {International Conference on Learning Representations (ICLR)},
   }

2024

1. 

   Task-oriented Sequential Grounding in 3D Scenes

   Zhuofan Zhang , Ziyu Zhu , Pengxiang Li , Tengyu Liu , Xiaojian Ma , Yixin Chen , Baoxiong Jia , Siyuan Huang , and Qing Li^✉

   arXiv preprint arXiv:2408.04034, 2024

   arXiv Bib Website

   @article{2024sg3d,
     title = {Task-oriented Sequential Grounding in 3D Scenes},
     author = {Zhang, Zhuofan and Zhu, Ziyu and Li, Pengxiang and Liu, Tengyu and Ma, Xiaojian and Chen, Yixin and Jia, Baoxiong and Huang, Siyuan and Li, Qing},
     journal = {arXiv preprint arXiv:2408.04034},
     year = {2024},
     correspondence = {Wu, Yuwei and Li, Qing},
   }

2. 

   FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

   Pengxiang Li* , Zhi Gao* , Bofei Zhang* , Tao Yuan , Yuwei Wu^✉ , Mehrtash Harandi , Yunde Jia , Song-Chun Zhu , and Qing Li^✉

   Neural Information Processing Systems: Datasets and Benchmarks (NeurIPS D&B), 2024

   arXiv Bib Website

   @article{2024fire,
     title = {FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models},
     author = {Li, Pengxiang and Gao, Zhi and Zhang, Bofei and Yuan, Tao and Wu, Yuwei and Harandi, Mehrtash and Jia, Yunde and Zhu, Song-Chun and Li, Qing},
     journal = {Neural Information Processing Systems: Datasets and Benchmarks (NeurIPS D&B)},
     year = {2024},
     equalauthor = {Li, Pengxiang and Gao, Zhi and Zhang, Bofei},
     correspondence = {Wu, Yuwei and Li, Qing},
   }

3. 

   Inter-Scale Similarity Guided Cost Aggregation for Stereo Matching

   Pengxiang Li , Chengtang Yao , Yuwei Wu^✉ , and Yunde Jia

   IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024

   Bib

   @article{2024issga,
     title = {Inter-Scale Similarity Guided Cost Aggregation for Stereo Matching},
     author = {Li, Pengxiang and Yao, Chengtang and Wu, Yuwei and Jia, Yunde},
     journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
     year = {2024},
     correspondence = {Wu, Yuwei},
     paper = {https://ieeexplore.ieee.org/document/10663688},
   }

2023

1. 

   Hyperbolic Learning: Theory and Applications

   Pengxiang Li , Peilin Yu , Yangkai Xue , Yuwei Wu , and Zhi Gao

   2023

   Bib Slides

   @article{2023hyperbolicTutorial,
     title = {Hyperbolic Learning: Theory and Applications},
     author = {Li, Pengxiang and Yu, Peilin and Xue, Yangkai and Wu, Yuwei and Gao, Zhi},
     year = {2023},
   }

2021

1. 

   A decomposition model for stereo matching

   Chengtang Yao , Yunde Jia , Huijun Di , Pengxiang Li , and Yuwei Wu^✉

   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

   arXiv Bib

   @article{yao2021decomposition,
     title = {A decomposition model for stereo matching},
     author = {Yao, Chengtang and Jia, Yunde and Di, Huijun and Li, Pengxiang and Wu, Yuwei},
     journal = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2021},
     correspondence = {Wu, Yuwei},
   }