Yunlai Zhou
PhD Student
Computer Vision, 3D Vision.
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
- AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models.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} } - GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning.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/} } - DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering.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} } - When ’YES’ Meets ’BUT’: Can AI Comprehend Contradictory Humor in Comics?In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.(Impact Factor: 20.4)
@article{liang2026yesbut, title = {When 'YES' Meets 'BUT': Can AI Comprehend Contradictory Humor in Comics?}, 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 Yin, Yu}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, year = {2026}, doi = {10.1109/TPAMI.2026.3688191}, note = {Impact Factor: 20.4}, status = {accepted}, pdf = {https://arxiv.org/pdf/2503.23137.pdf}, website = {/projects/yesbut-v2/}, data = {https://huggingface.co/datasets/zhehuderek/YESBUT_Benchmark} } - Expo-GS: Exposure-Aware Signed Distance Function in Gaussian Splatting for High Dynamic Range.In International Conference on Machine Learning (ICML), 2026.
@article{song2026expo, title = {Expo-GS: Exposure-Aware Signed Distance Function in Gaussian Splatting for High Dynamic Range}, author = {Song, Chaoda and Lu, Yiren and Li, Xinpeng and Zhou, Yunlai and Zhang, Yanyan and Yin, Yu and Chaudhary, Vipin}, journal = {International Conference on Machine Learning (ICML)}, year = {2026}, status = {accepted}, pdf = {https://icml.cc/virtual/2026/poster/66548} } - Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting.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} } - BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting.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} } - Causal3D: A Comprehensive Benchmark for Causal Learning from Visual Data.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} } - Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.In Advances in Neural Information Processing Systems (NeurIPS), vol. 37, pp. 47166–47188, 2024.(Oral)
@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}, note = {Oral}, pdf = {https://openreview.net/pdf?id=bCMpdaQCNW}, website = {https://vulab-ai.github.io/YESBUT_Homepage/}, data = {https://huggingface.co/datasets/zhehuderek/YESBUT_Benchmark}, code = {https://github.com/Derekkk/VIVA_EMNLP24} }