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周奕毅
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副教授
博士生导师
硕士生导师
- 电子邮箱：593ec0a3c4eac62d218023c96a87ea8fd711f8493f57a619f9af1781de1f9ca30663857bbee0991d0d51f8d34b06b515ff6a82bc70092ea5188fecea5e8796a27ef1f400eb73afe6f667fac348f6ee3e3ef6d0edd92a4e91ebed781ccf3fc3aba9d8098e1d1abe8f64f32031b392c9fba14a221f725c1847e3c4485ed32c4328
- 入职时间：2022-06-09
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：工学博士学位
- 在职信息：在职
- 毕业院校：厦门大学
- 2026-04曾获荣誉当选：毅善青年学者
- 2025-07曾获荣誉当选：小米青年学者
- 2025-12曾获荣誉当选：厦门市科技进步一等奖
- 2025-12曾获荣誉当选：教育部工程技术二等奖
访问量：
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[41]周奕毅.Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting.arXiv,2023,
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[42]周奕毅.Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models.arXiv,2023,
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[43]周奕毅.Active Teacher for Semi-Supervised Object Detection.arXiv,2023,
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[44]周奕毅.Towards End-to-end Semi-supervised Learning for One-stage Object Detection.arXiv,2023,
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[45]周奕毅.Towards Efficient Visual Adaption via Structural Re-parameterization.arXiv,2023,
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[46]周奕毅.Towards Local Visual Modeling for Image Captioning.arXiv,2023,
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[47]周奕毅.Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network.arXiv,2023,
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[48]孙晓帅,周奕毅.Towards local visual modeling for image captioning.Pattern Recognition,2022,138
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[49]周奕毅.Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach.arXiv,2022,
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[50]周奕毅.Towards Open-Ended Text-to-Face Generation, Combination and Manipulation.MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia,2022,5045-5054.
