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个人简介
Feiping Nie (Senior Member, IEEE) received the Ph.D. degree in computer science from Tsinghua University, Beijing, China, in 2009.
He is currently a Full Professor with Northwestern Polytechnical University, Xi’an, China. He has published more than 100 papers in the following journals and conferences: IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, International Conference on Machine Learning (ICML), Neural Information Processing Systems (NIPS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), International Joint Conferences on Artificial Intelligence (IJCAI), Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), International Conference on Computer Vision (ICCV), Computer Vision and Pattern Recognition (CVPR), and ACM Multimedia (ACM MM). His papers have been cited more than 20000 times and the H-index is 84. His research interests are machine learning and its applications, such as pattern recognition, data mining, computer vision, image processing, and information retrieval.
Dr. Nie is serving as an associate editor or a PC member for several prestigious journals and conferences in the related fields.
研究兴趣
论文共 19 篇作者统计合作学者相似作者
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)
IEEE transactions on neural networks and learning systemsno. 99 (2024): 1-6
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.3585-3589, (2024)
IEEE transactions on neural networks and learning systemsno. 99 (2024): 1-14
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.6895-6899, (2024)
Information Fusionpp.102483, (2024)
arxiv(2024)
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IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-13
IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-12
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