Tao Lin

I am Tao Lin, a first-year Ph.D. student in the School of Artificial Intelligence at Shanghai Jiao Tong University, advised by Prof. Bo Zhao.

My research focuses on Embodied AI and Multimodal Learning. I am particularly interested in developing embodied systems that tightly integrate perception, language understanding, and action. I sincerely welcome opportunities for discussion and collaboration with researchers in related fields.

Research Interests

Embodied AI
Multimodal learning

Selected Publications

VLA-Pruner: Temporal-Aware Dual-Level Visual Token Pruning for Efficient Vision-Language-Action Inference

Z. Liu, Y. Chen, H. Cai, T Lin, and 3 more authors

arXiv, 2025

Bib Paper

@article{liu2025vlapruner,
  title = {VLA-Pruner: Temporal-Aware Dual-Level Visual Token Pruning for Efficient Vision-Language-Action Inference},
  author = {Liu, Z. and Chen, Y. and Cai, H. and Lin, Tao and Yang, S. and Liu, Z. and Zhao, B.},
  journal = {arXiv preprint arXiv:2511.16449},
  year = {2025},
}

Evo-1: Lightweight vision-language-action model with preserved semantic alignment

T Lin, Y. Zhong, Yuxin Du, and 7 more authors

CVPR, 2026

Bib Paper

@inproceedings{lin2026evo1,
  title = {Evo-1: Lightweight vision-language-action model with preserved semantic alignment},
  author = {Lin, Tao and Zhong, Y. and Du, Yuxin and Zhang, J. and Liu, J. and Chen, Y. and Gu, E. and Liu, Z. and Cai, H. and Zou, Y.},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2026},
}

Evo-0: Vision-language-action model with implicit spatial understanding

T Lin, Gen Li, Y. Zhong, and 5 more authors

arXiv, 2025

Bib Paper

@article{lin2025evo0,
  title = {Evo-0: Vision-language-action model with implicit spatial understanding},
  author = {Lin, Tao and Li, Gen and Zhong, Y. and Zou, Y. and Du, Yuxin and Liu, J. and Gu, E. and Zhao, B.},
  journal = {arXiv preprint arXiv:2507.00416},
  year = {2025},
}

Robofac: A comprehensive framework for robotic failure analysis and correction

Zewei Ye, Weifeng Lu, Minghao Ye, T Lin, and 3 more authors

arXiv, 2025

Bib Paper

@article{ye2025robofac,
  title = {Robofac: A comprehensive framework for robotic failure analysis and correction},
  author = {Ye, Zewei and Lu, Weifeng and Ye, Minghao and Lin, Tao and Yang, Shuo and Yan, Junchi and Zhao, Bo},
  journal = {arXiv preprint arXiv:2505.12224},
  year = {2025},
}

Sti-bench: Are mllms ready for precise spatial-temporal world understanding?

Y. Li, Y. Zhang, T Lin, and 4 more authors

ICCV, 2025

Bib Paper

@inproceedings{li2025stibench,
  title = {Sti-bench: Are mllms ready for precise spatial-temporal world understanding?},
  author = {Li, Y. and Zhang, Y. and Lin, Tao and Liu, X. R. and Cai, W. and Liu, Z. and Zhao, B.},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year = {2025},
}