信息与通信工程学院
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导师代码: |
21450
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导师姓名: |
陈飞宇
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性 别: |
女 |
特 称: |
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职 称: |
副教授
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学 位: |
工学博士学位
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属 性: |
专职 |
电子邮件: |
chenfeiyu@uestc.edu.cn
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学术经历:
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2018年9月-2022年6月,电子科技大学,博士;
2022年6月任职电子科技大学与四川省人工智能研究院(宜宾)博士后;
2024年11月至今,任职电子科技大学信息与通信工程学院副教授。
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个人简介:
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研究方向为多模态分析,在多模态信息融合、多模态语义挖掘与多模态序列协同建模等方面取得一系列创新性研究成果,在IEEE TCYB、IEEE TNNLS、IEEE TMM、NN等国际顶级期刊以及CVPR、ACM MM、AAAI、ICDE等CCF A类国际会议上发表学术论文10余篇;作为第一发明人申请5项中国发明专利,授权1项,申请1项美国发明专利;主持国家自然科学基金青年科学基金项目、中国博士后科学基金面上项目、科技部外国青年人才计划等国家级与省部级科研项目4项,入选2023年度四川省博士后创新人才支持项目。受邀担任IEEE TMM、IEEE TCSVT、PR、ACM MM等多个国际期刊会议的审稿人。指导本科生科研训练及毕设,指导本科生与研究生在中科院一区期刊、ACM MM等国际高水平期刊和会议上发表学术论文。
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科研项目:
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主持国家自然科学基金青年科学基金项目、中国博士后科学基金面上项目、科技部外国青年人才计划、四川省科技创新创业苗子工程重点项目,主研科技部国家重点研发计划、四川省科技厅重点研发项目等。
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研究成果:
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代表性论文:
[1] Feiyu Chen, Jie Shao, Shuyuan Zhu, Heng Tao Shen. Multivariate, Multi-frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation. The IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 10761-10770.(CCF A类会议)
[2] Feiyu Chen, Jie Shao, Anjie Zhu, Deqiang Ouyang, Xueliang Liu, Heng Tao Shen. Modeling Hierarchical Uncertainty for Multimodal Emotion Recognition in Conversation. IEEE Transactions on Cybernetics, 2024, 54(1): 187-198.(中科院一区)
[3] Feiyu Chen, Zhengxiao Sun, Deqiang Ouyang, Xueliang Liu, Jie Shao. Learning What and When to Drop: Adaptive Multimodal and Contextual Dynamics for Emotion Recognition in Conversation. Proceedings of the 29th ACM International Conference on Multimedia. 2021: 1064-1073.(CCF A类会议)
[4] Feiyu Chen, Junjie Wang, Yinwei Wei, Hai-Tao Zheng, Jie Shao. Breaking Isolation: Multimodal Graph Fusion for Multimedia Recommendation by Edge-wise Modulation. Proceedings of the 30th ACM International Conference on Multimedia. 2022: 385-394.(CCF A类会议)
[5] Feiyu Chen, Jie Shao, Yonghui Zhang, Xing Xu, Heng Tao Shen. Interclass-Relativity-Adaptive Metric Learning for Cross-Modal Matching and Beyond. IEEE Transactions on Multimedia, 2021, 23: 3073-3084.(中科院一区)
[6] Qiang Zhu, Feiyu Chen*, Shuyuan Zhu*, Yu Liu, Xue Zhou, Ruiqin Xiong, Bing Zeng. DVSRNet: Deep Video Super-Resolution Based on Progressive Deformable Alignment and Temporal-Sparse Enhancement. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3347450, 2024.(中科院一区)
[7] Derong Chen, Feiyu Chen*, Deqiang Ouyang, Jie Shao. Mutual Correlation Network for few-shot learning. Neural Networks, 2024, 175: 106289.(中科院一区)
[8] Xiaoyang Tian, Jie Shao, Deqiang Ouyang, Anjie Zhu, Feiyu Chen*. SMDT: Cross-View Geo-Localization with Image Alignment and Transformer. IEEE International Conference on Multimedia and Expo. IEEE, 2022: 1-6. (CCF B类会议)
[9] Anjie Zhu, Feiyu Chen, Hui Xu, Deqiang Ouyang, Jie Shao. Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(8): 4816-4825.(中科院一区)
[10] Zetao Zheng, Jie Shao, Feiyu Chen, Anjie Zhu, Shilong Deng, Heng Tao Shen. HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning. IEEE 40th International Conference on Data Engineering. 2024: 4709-4721. (CCF A类会议)
[11] Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao. Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. AAAI Conference on Artificial Intelligence. 2024, 38(11): 12358-12366.(CCF A类会议)
[12] Xin Man, Jie Shao, Feiyu Chen, Mingxing Zhang, Heng Tao Shen. TEVL: Trilinear Encoder for Video-Language Representation Learning. ACM Transactions on Multimedia Computing, Communications and Application, 2023, 19(5s): 168:1-168:20.(CCF B类期刊)
[13] Qiao Mo, Yukang Ding, Jinhua Hao, Qiang Zhu, Ming Sun, Chao Zhou, Feiyu Chen, Shuyuan Zhu. OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal. European Conference on Computer Vision. 2024: 38-56.(CCF B类会议)
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专业研究方向:
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专业名称 |
研究领域/方向 |
招生类别 |
081000信息与通信工程 |
06图像与视频处理,09机器学习与人工智能,10信号与信息智能处理 |
硕士学术学位 |
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