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30余篇，其中以第一作者或通讯作者身份发表CCF-A类论文14篇，获评2022年ACM北京分会优博，2022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

课程：Python人工智能实践（本科）；数据挖掘（研究生）；数据挖掘高级专题（研究生）
成果：华中科技大学2023-2024学年教师教学竞赛二等奖

研究领域

小样本学习、表示学习、开放世界识别、计算机视觉、多模态大模型

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
4. 苏莉，邹逸雄，姚敦洁，张婉君，周鑫红，吴瑞哲，王养怡，吴秋晗，周鑫炜. 一种乳腺癌细胞类群鉴定、以及转移或耐药亚型肿瘤细胞特征识别方法及系统（申请号：2024109668731）. 申请日：2024.7.18

学术论文

 代表性论文：
     1. Yixiong Zou, et al; A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning, Annual Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A类论文), Vancouver, CA, 2024-12-15 - 2024-12-15
     2. Yixiong Zou, et al; Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning, Annual Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A类论文), Vancouver, CA, 2024-12-15 - 2024-12-15
     3. Yiman Hu, Yixiong Zou (通讯), et al; Generate Universal Adversarial Perturbations for Few-Shot Learning, Annual Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A类论文), Vancouver, CA, 2024-12-15 - 2024-12-15
     4. Jintao Tong, Yixiong Zou (通讯), et al; Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation, Annual Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A类论文), Vancouver, CA, 2024-12-15 - 2024-12-15
     5. 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
     6. 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
     7. 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.
     8. 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.
     9. 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.
     10. 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, Oral, CCF-A类论文), Melbourne, Australia, Oct 28 - Nov 1, 2024.
     11. 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
     12. 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
     13. 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
     14. 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
     15. 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, 一区SCI期刊), 2024, https://doi.org/10.1016/j. neunet.2024.106536
     16. Yixiong Zou, et al; Adaptation-Oriented Feature Projection for One-shot Action Recognition, IEEE Transactions on Multimedia (TMM 2020, CCF-B类论文, 一区SCI期刊), 2020, 22(12): 3166-3179

其他论文:
     请见 https://scholar.google.com/citations?user=VXxF0mcAAAAJ&hl=zh-CN

竞赛获奖:
     2023年第五届全球校园人工智能算法精英大赛 - AIGC驱动的小样本分类 - 全国一等奖（唯一指导老师）

   

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