个人简介
华中科技大学-计算机科学与技术学院讲师,硕士生导师,博士。2016年6月于南开大学-软件学院获得学士学位,2022年1月于北京大学-信息科学与技术学院获博士学位,2019年9月-2020年9月赴美国卡内基梅隆大学(CMU)访学。作为项目负责人主持国家自然科学基金1项,在NeurIPS、ICML、CVPR、AAAI、ACM MM、IJCAI、TMM、Neural Networks等国际权威会议、期刊发表论文20余篇,获评2022年ACM北京分会优博,2023年湖北省科技进步一等奖(第10)。目前主要从事小样本学习、表示学习、开放世界识别、计算机视觉等方面的研究工作。
社会兼职
CCF-YOCSEF武汉-学术秘书
教学课程
Python大数据与人工智能实践; 数据挖掘
研究领域
小样本学习、表示学习、开放世界识别、计算机视觉
研究课题
1. 面向开放世界的模块化终生学习方法研究(国家自然科学基金)(2023-2025)(主持)
2. 高可信联邦图学习基础理论与方法研究(国家自然科学基金)(2024-2027)(参与)
专利&软件著作权
1. José M. F. Moura, Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian. FEW SHOT ACTION RECOGNITION IN UNTRIMMED VIDEOS (US Patent App. 17/529,011), App Date: 2022.5.26
2. 田永鸿,邹逸雄,史业民,王耀威. 一种小样本视频识别方法(专利号:ZL201810184700.9). 授权日:2020.7.10
3. 王耀威,李诗文,田永鸿,邹逸雄,曾炜. 基于深度学习的车牌检测与识别方法和装置(申请号:201810600935.1),申请日:2018.6.12
学术论文
代表性论文:
1. Yixiong Zou, et al; Compositional Few-Shot Class-Incremental Learning. International Conference on Machine Learning (ICML 2024, CCF-A类论文), Vienna, Austria, July 21-27, 2024
2. Yixiong Zou, et al; Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024, CCF-A类论文), Seattle, USA, June 17-21, 2024
3. Haichen Zhou, Yixiong Zou (通讯), et al; Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning. International Joint Conference on Artificial Intelligence (IJCAI 2024, CCF-A类论文), Jeju Island, South Korea, August 3-9, 2024.
4. Jie Han, Yixiong Zou (通讯), et al; Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. Annual AAAI Conference on Artificial Intelligence (AAAI 2024, CCF-A类论文), Vancouver, Canada, February 20th-27th, 2024.
5. Zhenyu Zhang, Guangyao Chen, Yixiong Zou (通讯), et al; Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition. ACM International Conference on Multimedia (ACM MM 2024, CCF-A类论文), Melbourne, Australia, Oct 28 - Nov 1, 2024.
6. Zhenyu Zhang, Guangyao Chen, Yixiong Zou (通讯), et al; MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning. ACM International Conference on Multimedia (ACM MM 2024, CCF-A类论文), Melbourne, Australia, Oct 28 - Nov 1, 2024.
7. Yixiong Zou, et al; Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation, Annual Conference on Neural Information Processing Systems (NeurIPS 2022, CCF-A类论文), New Orleans, LA, USA, 2022-11-28 - 2022-12-3
8. Yixiong Zou, et al; Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition, ACM International Conference on Multimedia (ACM MM 2021, CCF-A类论文), Chengdu, China, 2021-10-20 - 2021-10-24
9. Yixiong Zou, et al; Annotation-Efficient Untrimmed Video Action Recognition, ACM International Conference on Multimedia (ACM MM 2021, CCF-A类论文, Chengdu, China, 2021-10-20 - 2021-10-24
10. Yixiong Zou, et al; Compositional Few-Shot Recognition with Primitive Discovery and Enhancing, ACM International Conference on Multimedia (ACM MM 2020, Oral, CCF-A类论文), Seattle, WA, USA, 2020-10-12 - 2020-10-16
11. Yicong Liu, Yixiong Zou (通讯), et al; Spectral Decomposition and Transformation for Cross-Domain Few-Shot Learning, Neural Networks (CCF-B类论文, 中科院一区期刊), 2024, https://doi.org/10.1016/j. neunet.2024.106536
12. Yixiong Zou, et al; Adaptation-Oriented Feature Projection for One-shot Action Recognition, IEEE Transactions on Multimedia (TMM 2020, CCF-B类论文, 中科院一区期刊), 2020, 22(12): 3166-3179
其他论文:
请见 https://scholar.google.com/citations?user=VXxF0mcAAAAJ&hl=zh-CN
专业活动