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I am a PhD Student in the Department of Computer Science at the University of California, Davis, advised by Prof. Muhao Chen. I also worked closely with Dr. Peng Qi. I am driven by the aspiration to develop intelligent systems capable of seamless interactions with humans. Email: xfwe[at]ucdavis[dot]edu CV / Google Scholar / Twitter / Linkedin / Github |
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I'm interested in video audio alignment. Representative papers are highlighted. |
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When Vision Speaks for Sound
Xiaofei Wen, Wenjie Jacky Mo, Xingyu Fu, Rui Cai, Tinghui Zhu, Wendi Li, Yanan Xie, Muhao Chen, Peng Qi Preprint, 2026 arxiv / webpage / code / collection |
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Video Models Can Reason with Verifiable Rewards
Tinghui Zhu, Sheng Zhang, James Y. Huang, Selena Song, Xiaofei Wen, Yuankai Li, Hoifung Poon, Muhao Chen The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026 arxiv / webpage |
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ModelLens: Finding the Best for Your Task from Myriads of Models
Rui Cai, Wenjie Jacky Mo, Xiaofei Wen, Qiyao Ma, Wenhui Zhu, Xiwen Chen, Muhao Chen, Zhe Zhao The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026 arxiv / webpage |
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Robust and Efficient Guardrails with Latent Reasoning
Siddharth Sai, Xiaofei Wen, Muhao Chen The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 arxiv |
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DebugLM: Learning Traceable Training Data Provenance for LLMs
Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Wenxuan Zhou, Zhe Zhao, Muhao Chen The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 arxiv |
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OmniGuard: Unified Omni-Modal Guardrails with Deliberate Reasoning
Boyu Zhu, Xiaofei Wen, Wenjie Jacky Mo, Tinghui Zhu, Yanan Xie, Peng Qi, Muhao Chen Preprint, 2025 arxiv / webpage |
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Learning Efficient Guardrails for Compliance
Xiaofei Wen, Wenjie Jacky Mo, Yanan Xie, Peng Qi, Muhao Chen Forty-Third International Conference on Machine Learning (ICML), 2026 paper / webpage |
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REDCODER: Automated Multi-Turn Red Teaming for Code LLMs
Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Dongwon Jung, Hadi Askari, Wenxuan Zhou, Zhe Zhao, Muhao Chen The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026 paper / code |
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Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models
Rui Cai, Bangzheng Li, Xiaofei Wen, Muhao Chen, Zhe Zhao The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026 arxiv / code |
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Xiaofei Wen, Wenxuan Zhou, Wenjie Jacky Mo, Muhao Chen Findings of the Conference of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2025 paper / code / model |
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Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations), 2025 paper / demo |
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Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 paper / code |
Internship Experience
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Amazon @AlexaApplied Scientist Intern
Advised by Xiang Li and Chengyuan Ma
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I’m a pretty avid film-and-TV fan. A few favorites: The Godfather, The Irishman, Legal High, and Slow Horses. My favorite video game is God of War. Away from the screen, I enjoy heading out to sea to fish. I’m also slowly building my collection of national park stamps, one park at a time. And for the record, I’m proudly ShinRan / 新蘭派. |
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Website source code from Jon Barron. |