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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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[1]纪荣嵘,周奕毅.Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models.ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023),
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[2]纪荣嵘,周奕毅.Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models.ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023),
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[3]曹刘娟,周奕毅.SeqTR: A Simple Yet Universal Network for Visual Grounding.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13695 LNCS598-615.
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[4]周奕毅,孙晓帅,TRAR: Routing the Attention Spans in Transformer for Visual Question Answering.Proceedings of the IEEE International Conference on Computer Vision,2054-2064.
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[5]周奕毅.RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2023-June2681-2690.
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[6]周奕毅.Knowing What it is: Semantic-Enhanced Dual Attention Transformer.IEEE Transactions on Multimedia,253723-3736.
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[7]周奕毅.Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models.Advances in Neural Information Processing Systems,36
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[8]周奕毅,A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension.IEEE Transactions on Neural Networks and Learning Systems,
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[9]纪荣嵘,周奕毅.Multi-task collaborative network for joint referring expression comprehension and segmentation.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,10031-10040.
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[10]周奕毅,纪荣嵘,Dynamic capsule attention for visual question answering.33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019,9324-9331.
