Yiran Qiao
Ph.D. Student from CRAKEN Lab
Causal Reasoning, Adversarial Robustness, and 3D Reconstruction & Generation.
Yiran Qiao is a long-term collaborator of the VU Lab. He is currently a Ph.D. student in the Department of Computer and Data Sciences at Case Western Reserve University, where he is also a member of the CRAKEN Lab, advised by Prof. Jing Ma.
Experience
- Research Intern
- Emerson China, Xi’an, Shaanxi
- Jun 2019 - Jun 2020
- Research Assistant
- Xi’an Jiaotong University
- Jun 2020 - Jan 2021
Education
- Ph.D. in Computer Science
- Case Western Reserve University
- Aug 2023 - Present
- M.S. in Electrical and Computer Engineering
- The Ohio State University
- Jan 2021 - May 2023
- B.S. in Electrical Engineering
- Xi’an Jiaotong University
- Aug 2015 - Jun 2019
Awards
- Outstanding Graduate Teaching Award
Research Interests
- Causal Reasoning
- Adversarial Attack and Defense
- 3D Reconstruction and Generation
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} } - 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} } - 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} } - Certified Causal Defense with Generalizable Robustness.In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 39, no. 19, 2025.
@inproceedings{qiao2025certified, title = {Certified Causal Defense with Generalizable Robustness}, author = {Qiao, Yiran and Yin, Yu and Chen, Chen and Ma, Jing}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)}, volume = {39}, number = {19}, year = {2025}, status = {accepted}, pdf = {https://arxiv.org/pdf/2408.15451} } - Counterfactual Visual Explanation via Causally-Guided Adversarial Steering.In arXiv preprint arXiv:2507.09881, 2025.
@article{qiao2025counterfactual, title = {Counterfactual Visual Explanation via Causally-Guided Adversarial Steering}, author = {Qiao, Yiran and Liu, Disheng and Lu, Yiren and Yin, Yu and Du, Mengnan and Ma, Jing}, journal = {arXiv preprint arXiv:2507.09881}, year = {2025}, status = {preprint}, pdf = {https://arxiv.org/pdf/2507.09881.pdf} } - 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} }