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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
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[11]孙晓帅,周奕毅.Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks.THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 7,7864-7872.
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[12]喻骁,周奕毅.Semantic-Guided Selective Representation for Image Captioning.IEEE Access,1114500-14510.
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[13]周奕毅.Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks.IEEE Transactions on Image Processing,313386-3398.
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[14]周奕毅.HSM-QA: Question Answering System Based on Hierarchical Semantic Matching.IEEE Access,111-1.
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[15]周奕毅.Knowledge-Driven Generative Adversarial Network for Text-to-Image Synthesis.IEEE Transactions on Multimedia,244356-4366.
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[16]孙晓帅,周奕毅.RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words.2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021,15460-15469.
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[17]周奕毅.A Survivor in the Era of Large-Scale Pretraining: An Empirical Study of One-Stage Referring Expression Comprehension.IEEE Transactions on Multimedia,261-12.
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[18]周奕毅.Active Teacher for Semi-Supervised Object Detection.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2022-June14462-14471.
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[19]周奕毅.Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach.Advances in Neural Information Processing Systems,35
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[20]周奕毅,PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13674 LNCS643-660.
