师资队伍

欧阳小草


认知计算与群智协同创新团队(CCCI

http://ccci.swufe.edu.cn


副教授、硕士生导师

E-mailoyxiaocao@swufe.edu.cn


教师简介

    

  欧阳小草,现任西南财经大学计算机与人工智能学院(认知计算与群智协同创新团队)副教授、硕士生导师。2023年毕业于西南交通大学,获得工学博士学位。欧阳小草博士主要研究方向涉及深度学习、城市计算、时空数据挖掘、联邦学习、持续学习等。在国际顶级期刊/会议、国内外知名期刊/会议发表关于深度学习、城市计算等相关领域研究论文多篇,包括IEEE Transactions on Knowledge and Data Engineering、 AAAIInformation FusionKnowledge-Based Systems等。在数据挖掘、大数据分析、人工智能、深度学习、城市计算应用等领域积累了丰富的研究经验和相关成果。

欢迎勤奋好学,具有良好编程能力和英语能力,对深度学习、数据挖掘、大数据分析、人工智能、城市计算、联邦学习、持续学习等方向感兴趣的同学与我联系,我会尽快回复邮件并安排面谈。期待你们的加入


研究领域

深度学习

城市计算

时空数据挖掘

联邦学习

持续学习


教育背景

2019-2023 西南交通大学 计算机科学与技术 博士

2016-2019 西南交通大学 计算机科学与技术 硕士(硕博连读)


职业经历

2024/012026/01 西南财经大学 讲师、硕士生导师

2026/01年至今  西南财经大学 副教授、硕士生导师


研究成果

代表性学术论文(*通讯作者)

[1] Xiaocao Ouyang, Yan Yang, Wei Zhou, Yiling Zhang, Hao Wang, Wei Huang. CityTrans: Domain-Adversarial Training with Knowledge Transfer for Spatio-Temporal Prediction across Cities [J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(1): 62-76. CCF A类期刊,SCI一区Top, 数据挖掘顶刊

[2] Xiaocao Ouyang, Yanhua Li, Dongyu Guo, Wei Huang, Xin Yang, Yan Yang, Junbo Zhang, Tianrui Li. Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network [J]. Information Fusion 121 (2025): 103149. ( SCI一区 Top,影响因子:15.5)

[3] Xiaocao Ouyang, Yanhua Li, Jie Zhang, Xin Yang, Yan Yang, Junbo Zhang, Wei Huang, Tianrui Li, Zhiquan Liu. Enhancing Cross-City Spatio-Temporal Prediction via Dynamic Multi-Scale Hypergraph Learning with Domain Adversarial Training[J]. Knowledge-Based Systems, 2025: 114352. ( SCI一区Top)

[4] Yanhua Li(博士生), Xiaocao Ouyang, Chaofan Pan, Jie Zhang, Sen Zhao, Shuyin Xia, Xin Yang, Guoyin Wang, Tianrui Li. Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary[C]. Proceedings of the AAAI Conference on Artificial Intelligence. 2025, 39(23): 24512-24520. (CCF A类会议,人工智能顶级会议)

[5] Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou, Jihong Wan, Shengdong Du. Domain Adversarial Graph Neural Network with Cross-city Graph Structure Learning for Traffic Prediction [J]. Knowledge-Based Systems. 2023: 110885. SCI一区Top

[6] Pengcheng Zhang (硕士生), Xiaocao Ouyang*, Ran Peng,  UWT-Net: Mining Low-Frequency Feature Information for Medical Image Segmentation[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025: 615-624. (CCF B类会议)

[7] Wei Huang, Dexian Wang, Xiaocao Ouyang, Jihong Wan, Jia Liu, Tianrui Li. Multimodal federated learning: Concept, methods, applications and future directions[J]. Information Fusion, 2024, 112: 102576. ( SCI一区 Top,影响因子:15.5)

[8] Xiaocao Ouyang , Yan Yang, Yiling Zhang, Wei Zhou, Dongyu Guo. Dual-Channel Spatial-Temporal Difference Graph Neural Network for PM2.5 Forecasting [J]. Neural Computing and Applications, 2023, 35(10): 7475-7494. SCI二区

[9] Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou. Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction [C]. International Joint Conference on Neural Networks (IJCNN), 2021.CCF C类会议

[10] Yiling Zhang, Hao Wang, Yan Yang, Wei Zhou, Tianrui Li, Xiaocao Ouyang. Deep Matrix Factorization with Knowledge Transfer for Lifelong Clustering and Semi-supervised Clustering [J]. Information Sciences, 2021, 570: 795-814.CCF B类期刊

[11] 张熠玲, 杨燕, 周威, 欧阳小草, 胡节. CMvSC: 知识迁移下的深度一致性多视 图谱聚类网络 [J]. 软件学报, 2021, 33(4): 1373-1389.中文CCF T1类期刊

[12] Xiong Ni, Yan Yang, Yongquan Jiang, Xiaocao Ouyang. Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction [C]. International Joint Conference on Neural Networks (IJCNN), 2023.CCF C 类会议

[13] Yiling Zhang, Yan Yang, Wei Zhou, Hao Wang, Xiaocao Ouyang. Multi-city Traffic Flow Forecasting via Multi-task Learning [J]. Applied Intelligence, 2021.SCI二区

[14] Yiling Zhang, Hao Wang, Yan Yang, Wei Zhou, Tianrui Li, Xiaocao Ouyang. Deep Matrix Factorization with Knowledge Transfer for Lifelong Clustering and Semi-supervised Clustering [J]. Information Sciences, 2021, 570: 795-814.CCF B类期刊, SCI一区, Top期刊

[15] Yiling Zhang, Yan Yang, Wei Zhou, Xiaocao Ouyang, Xiaobo Zhang. A Consensus Clustering Algorithm for Multitask Multiview Learning [C]. Proceedings of the IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, 2019: 1098-1106. 最佳论文奖

专利

[1] 杨燕, 欧阳小草, 江永全, 张熠玲, 周威. 一种基于领域自适应与知识迁移的交通流量预测方法. 授权号:CN115034478B. 已授权

主要科研项目

[1] 国家自然科学基金青年项目:基于深度表征和迁移学习的城市时空预测方法研究, 2025-012027-12主持

[2] 四川省自然科学基金青年项目,2026-012027-12主持

[3] 西南财经大学中央高校青年教师成长项目,2025-012025-12主持

[4] 国家自然科学基金面上项目:基于多粒度认知的联邦持续学习关键技术研究, 2025-012028-12, 主研

[5] 国家自然科学基金面上项目:基于多视图融合的序列数据深度学习模型研究, 2020-012023-12, 参研