Yunlai Zhou

PhD Student

Yunlai Zhou

Yunlai Zhou

PhD Student

Computer Vision, 3D Vision.

Email: yunlai.zhou@case.edu

Personal page: https://github.com/Allen-Zhou729

Google Scholar: Profile

Location: VU Lab, Case Western Reserve University, Cleveland, USA

Team page: Back to Team

Yunlai Zhou is a Ph.D. student in Computer Science at Case Western Reserve University (CWRU), advised by Prof. Yu Yin. His research focuses on Computer Vision and 3D Vision.

Education

  • B.S. in Software Engineering, Beijing Normal University, Zhuhai
  • M.S. in Computer Science, Case Western Reserve University
  • Visiting Student, Westlake University

Research Interests

  • Computer Vision
  • 3D Reconstruction
  • 3D Generation

Selected Publications

Experience

  • Research Intern, Westlake University, Machine Intelligence Lab
  • Research Intern, OpsiClear LLC

Academic Service

  • Reviewer, BSPC, EAAI

Publications

  1. AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models.
    Yiran Qiao, Yiren Lu, Yunlai Zhou, Ruize Yang, Lufan Hou, Yu Yin and Jing Ma.
    In arXiv preprint arXiv:2603.23686, 2026.

    @article{qiao2026advsplat,
      title = {AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models},
      author = {Qiao, Yiran and Lu, Yiren and Zhou, Yunlai and Yang, Ruize and Hou, Lufan and Yin, Yu and Ma, Jing},
      journal = {arXiv preprint arXiv:2603.23686},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2603.23686.pdf}
    }
    
  2. GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning.
    Yiren Lu, Yi Du, Disheng Liu, Yunlai Zhou, Chen Wang and Yu Yin.
    In arXiv preprint arXiv:2603.19137, 2026.

    @article{lu2026gsmem,
      title = {GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning},
      author = {Lu, Yiren and Du, Yi and Liu, Disheng and Zhou, Yunlai and Wang, Chen and Yin, Yu},
      journal = {arXiv preprint arXiv:2603.19137},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2603.19137.pdf},
      website = {https://yiren-lu.com/project_pages/GSMem/}
    }
    
  3. DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering.
    Yiran Qiao, Yiren Lu, Yunlai Zhou, Ruize Yang, Lufan Hou, Yu Yin and Jing Ma.
    In arXiv preprint arXiv:2602.19323, 2026.

    @article{qiao2026defensesplat,
      title = {DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering},
      author = {Qiao, Yiran and Lu, Yiren and Zhou, Yunlai and Yang, Ruize and Hou, Lufan and Yin, Yu and Ma, Jing},
      journal = {arXiv preprint arXiv:2602.19323},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2602.19323}
    }
    
  4. When ’YES’ Meets ’BUT’: Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?
    Tuo Liang, Zhe Hu, Jing Li, Hao Zhang, Yiren Lu, Yunlai Zhou, Yiran Qiao, Disheng Liu, Jierui Peng, Jing Ma and others.
    In arXiv preprint arXiv:2503.23137, 2025.

    @article{liang2025yesbut,
      title = {When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?},
      author = {Liang, Tuo and Hu, Zhe and Li, Jing and Zhang, Hao and Lu, Yiren and Zhou, Yunlai and Qiao, Yiran and Liu, Disheng and Peng, Jierui and Ma, Jing and others},
      journal = {arXiv preprint arXiv:2503.23137},
      year = {2025},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2503.23137.pdf}
    }
    
  5. Causal3D: A Comprehensive Benchmark for Causal Learning from Visual Data.
    Disheng Liu, Yiran Qiao, Wuche Liu, Yiren Lu, Yunlai Zhou, Tuo Liang, Yu Yin and Jing Ma.
    In arXiv preprint arXiv:2503.04852, 2025.

    @article{liu2025causal3d,
      title = {Causal3D: A Comprehensive Benchmark for Causal Learning from Visual Data},
      author = {Liu, Disheng and Qiao, Yiran and Liu, Wuche and Lu, Yiren and Zhou, Yunlai and Liang, Tuo and Yin, Yu and Ma, Jing},
      journal = {arXiv preprint arXiv:2503.04852},
      year = {2025},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2503.04852.pdf},
      data = {https://huggingface.co/datasets/LLDDSS/Causal3D_Dataset}
    }
    
  6. Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting.
    Yiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song, Tuo Liang, Jing Ma, Huan Wang and Yu Yin.
    In Advances in Neural Information Processing Systems (NeurIPS), 2025.

    @article{lu2025segment,
      title = {Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting},
      author = {Lu, Yiren and Zhou, Yunlai and Qiao, Yiran and Song, Chaoda and Liang, Tuo and Ma, Jing and Wang, Huan and Yin, Yu},
      journal = {Advances in Neural Information Processing Systems (NeurIPS)},
      year = {2025},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2503.22204v2},
      website = {https://yiren-lu.com/project_pages/Segment-then-Splat/},
      code = {https://github.com/luyr/Segment-then-Splat}
    }
    
  7. BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting.
    Yiren Lu, Yunlai Zhou, Disheng Liu, Tuo Liang and Yu Yin.
    In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), pp. 16532–16542, 2025.

    @inproceedings{lu2025bard,
      title = {BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting},
      author = {Lu, Yiren and Zhou, Yunlai and Liu, Disheng and Liang, Tuo and Yin, Yu},
      booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
      pages = {16532--16542},
      year = {2025},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2503.15835},
      website = {https://yiren-lu.com/project_pages/BARD-GS/},
      code = {https://github.com/luyr/BARD-GS},
      data = {https://drive.google.com/drive/u/0/folders/1CRBQ_HR3yKhT3G9_ttTWA1PWXWL6DtsV}
    }
    
  8. Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.
    Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma and Yu Yin.
    In Advances in Neural Information Processing Systems (NeurIPS), vol. 37, pp. 47166–47188, 2024.

    @article{hu2024cracking,
      title = {Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions},
      author = {Hu, Zhe and Liang, Tuo and Li, Jing and Lu, Yiren and Zhou, Yunlai and Qiao, Yiran and Ma, Jing and Yin, Yu},
      journal = {Advances in Neural Information Processing Systems (NeurIPS)},
      volume = {37},
      pages = {47166--47188},
      year = {2024},
      status = {accepted},
      pdf = {https://openreview.net/pdf?id=bCMpdaQCNW},
      website = {https://vulab-ai.github.io/YESBUT_Homepage/},
      dataset = {https://huggingface.co/datasets/zhehuderek/YESBUT_Benchmark},
      code = {https://github.com/Derekkk/VIVA_EMNLP24}
    }