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)