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聂飞平
发布时间: 2023-09-01 浏览次数:



姓名:聂飞平

籍贯:江西新干

出生:1977.05

学历:博士

职称:教授

职务:

电子邮件:feipingnie@gmail.com

个人简历:

2020年入选国家万人计划科技创新领军人才。主要研究兴趣为机器学习理论和方法,已在TPAMI、ICML等高水平期刊会议上发表系列学术论文,其中中科院一区期刊论文200余篇,CCF A类会议长文100余篇。论文总被引用30000余次,H指数99。入选科睿唯安“全球高被引科学家”,爱思唯尔“中国高被引学者”,Guide2Research“全球顶尖计算机科学家”,斯坦福大学“全球前2%顶尖科学家”等榜单,在新智元发布的“华人AI学术影响力Top100”名单中排名第9,在清华大学发布的2021年“人工智能最具影响力学者”榜单中位居经典AI子领域全球第3。荣获CCF自然科学奖一等奖、吴文俊人工智能自然科学奖二等奖等奖项。


研究方向:人工智能、机器学习、多模态认知计算、群体智能决策



主讲课程:机器学习


社会兼职及荣誉:

期刊审稿人:T-PAMI, IJCV, JMLR

编委会成员:T-NNLS, Information Fusion, Information Science, Pattern Recognition, Neural Processing Letters

Senior Program committee member:Association for the Advance of Artificial Intelligence(2017,2018)

Senior Program committee member:International Joint Conference on Artificial Intelligence(2018,2019)

Area Chair:Chinese Conference on Pattern Recognition(2016)

Area Chair:International Conference on Pattern Recognition(2016,2018)

Area Chair:International Conference on Data Mining(2018)


科研及成果:

CCF科学技术奖自然科学一等奖

吴文俊人工智能科学技术奖二等奖

中国图象图形学学会科学技术奖二等奖

入选科睿唯安“全球高被引科学家”榜单

入选爱思唯尔“中国高被引学者”榜单

入选Guide2Research“全球顶尖计算机科学家”榜单

在新智元发布的全球首个华人AI学术影响力TOP100名单中排名第9

在清华大学发布的2020年人工智能最具影响力学者榜单中位居经典AI子领域全球第5


论文:

1. Feiping Nie*; Lai Tian; Rong Wang; Xuelong Li; Learning Feature-Sparse Principal Subspace,  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

2. Shenfei Pei; Huimin Chen; Feiping Nie*; Rong Wang; Xuelong Li; Centerless Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

3. Zhengxin Li; Feiping Nie*; Jintang Bian; Danyang Wu; Xuelong Li; Sparse PCA via ℓ2,p-Norm Regularization for Unsupervised Feature Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

4. Feiping Nie*; Danyang Wu; Rong Wang; Xuelong Li*; Truncated Robust Principle Component Analysis with A General Optimization Framework, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

5. Feiping Nie*; Jingjing Xue; Danyang Wu; Rong Wang; Hui Li; Xuelong Li; Coordinate Descent Method for k-means, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

6. Feiping Nie*; Xiaowei Zhao; Rong Wang; Xuelong Li; Fast Locality Discriminant Analysis with Adaptive Manifold Embedding, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

7. Xuelong Li ; Han Zhang; Rong Wang; Feiping Nie*; Multi-view Clustering: A Scalable and Parameter-free Bipartite Graph Fusion Method, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

8. Jingyu Wang; Hongmei Wang; Feiping Nie*; Xuelong Li; Ratio Sum vs. Sum Ratio for Linear Discriminant Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

9. Zhen Wang; Zhaoqing Li; Rong Wang; Feiping Nie*; Xuelong Li*; Large Graph Clustering with Simultaneous Spectral Embedding and Discretization, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

10. Feiping Nie*; Zheng Wang; Rong Wang; Zhen Wang; Xuelong Li ; Towards Robust Discriminative Projections Learning via Non-greedy l2,1-Norm MinMax, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.


发明专利:

1. 聂飞平;车昊轩;王宏;王榕;于为中;李学龙; 一种基于树策略与平衡K均值聚类的快速近似K近邻方法,2021-08-10,中国,CN201910297553.0 (专利)

2. 聂飞平;户战选;王榕;李学龙;王政;王瀚; 一种基于局部近邻成分分析的图像特征提取方法,2022-06-07,中国,CN202010104785.2 (专利)

3. 聂飞平;常伟;王榕;李学龙; 基于多任务协同学习的图像分类方法,2022-04-26,中国,CN202110253803.8 (专利)

4. 聂飞平;裴朝;于为中;王榕;李学龙; 一种基于二部图的新型随机游走的推荐方法,2022-7-26,中国, CN201910037640.2 (专利)

 
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