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

LA4VLA: Learning to Act without Seeing via Language-Action Pretraining

T Lin, Yuxin Du, Yiran Mao, and 13 more authors

Alibaba Technology Report, 2026

Bib Paper Code

@article{lin2026la4vla,
  title = {LA4VLA: Learning to Act without Seeing via Language-Action Pretraining},
  author = {Lin, Tao and Du, Yuxin and Mao, Yiran and Ye, Zewei and Zhong, Yilei and Cheng, Bing and Wang, Yiming and Liu, Jiting and Tian, Yang and Yan, Junchi and Wu, Feiran and Meng, Zenan and Wei, Hu and Fu, Yuqian and Li, Gen and Zhao, Bo},
  journal = {Alibaba Technology Report},
  year = {2026},
}

Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model

T Lin, Yuxin Du, Jiting Liu, and 14 more authors

arXiv, 2026

Bib Paper Code

@article{lin2026evodepth,
  title = {Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model},
  author = {Lin, Tao and Du, Yuxin and Liu, Jiting and Zhu, Nuobei and Li, Yunhe and Fu, Yuqian and Chen, Yinxinyu and Cai, Hongyi and Ye, Zewei and Cheng, Bing and Ye, Kai and Mao, Yiran and Zhong, Yilei and Dong, MingKang and Yan, Junchi and Li, Gen and Zhao, Bo},
  journal = {arXiv preprint arXiv:2605.14950},
  year = {2026},
}

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},
}

Focusable Monocular Depth Estimation

Yuxin Du, T Lin, Zile Zhong, and 7 more authors

arXiv, 2026

Bib Paper

@article{du2026focusable,
  title = {Focusable Monocular Depth Estimation},
  author = {Du, Yuxin and Lin, Tao and Zhong, Zile and Li, Runting and Chen, Xiyao and Liu, Jiting and Liu, Chenglin and Chen, Ying-Cong and Fu, Yuqian and Zhao, Bo},
  journal = {arXiv preprint arXiv:2605.11756},
  year = {2026},
}

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},
}

Robofac: A comprehensive framework for robotic failure analysis and correction

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

WAICA, 2026

Bib Paper

@inproceedings{ye2026robofac,
  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},
  booktitle = {WAICA},
  year = {2026},
}

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},
}

Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance

Runze Wang, Yuqian Fu, Yu Li, T Lin, and 6 more authors

arXiv, 2026

Bib Paper Code

@article{wang2026affordvla,
  title = {Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance},
  author = {Wang, Runze and Fu, Yuqian and Li, Yu and Lin, Tao and Qian, Tianwen and Elhoseiny, Mohamed and Zhao, Bo and Fu, Yanwei and Jiang, Yu-Gang and Xue, Xiangyang},
  journal = {arXiv preprint arXiv:2605.24203},
  year = {2026},
}