De-Chuan Zhan

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Han-Jia YeNanjing UniversityDirección de correo verificada de lamda.nju.edu.cn
Da-Wei ZhouAssociate Researcher, Nanjing UniversityDirección de correo verificada de nju.edu.cn
Yang YangNanjing University of Science and TechnologyDirección de correo verificada de njust.edu.cn
Zhi-Hua ZhouNanjing UniversityDirección de correo verificada de nju.edu.cn
Hexiang (Frank) HuGoogle DeepmindDirección de correo verificada de google.com
Dr. Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUSTDirección de correo verificada de ust.hk
Xin GengSchool of Computer Science and Engineering, Southeast UniversityDirección de correo verificada de seu.edu.cn
Yang YuProfessor, Nanjing UniversityDirección de correo verificada de nju.edu.cn
Ming LiNanjing UniversityDirección de correo verificada de lamda.nju.edu.cn
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairDirección de correo verificada de cse.ust.hk
Cam-Tu NguyenAssociate Professor of AI School, Nanjing University, ChinaDirección de correo verificada de lamda.nju.edu.cn
Yu-Feng LiProfessor, Nanjing UniversityDirección de correo verificada de lamda.nju.edu.cn
Nan Li 李楠MicrosoftDirección de correo verificada de microsoft.com
Xintao WuUniversity of ArkansasDirección de correo verificada de uark.edu
Juhua Hu (Ju-Hua Hu, 胡菊花)Associate Professor, University of Washington | TacomaDirección de correo verificada de uw.edu
Xu-Ying LiuSoutheast University, ChinaDirección de correo verificada de seu.edu.cn
Ming LiNanjing UniversityDirección de correo verificada de lamda.nju.edu.cn

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De-Chuan Zhan

Nanjing University, China

Dirección de correo verificada de nju.edu.cn - Página principal

Machine Learning Data Mining


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Few-shot learning via embedding adaptation with set-to-set functions HJ Ye, H Hu, DC Zhan, F Sha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	844	2020
Supervised nonlinear dimensionality reduction for visualization and classification X Geng, DC Zhan, ZH Zhou IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005	597	2005
Foster: Feature boosting and compression for class-incremental learning FY Wang, DW Zhou, HJ Ye, DC Zhan European conference on computer vision, 398-414, 2022	280	2022
Learning placeholders for open-set recognition DW Zhou, HJ Ye, DC Zhan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	256	2021
Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need DW Zhou, ZW Cai, HJ Ye, DC Zhan, Z Liu arXiv preprint arXiv:2303.07338, 2023	237	2023
Forward compatible few-shot class-incremental learning DW Zhou, FY Wang, HJ Ye, L Ma, S Pu, DC Zhan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	222	2022
Semi-supervised learning with very few labeled training examples ZH Zhou, DC Zhan, Q Yang AAAI, 675-680, 2007	221	2007
A model or 603 exemplars: Towards memory-efficient class-incremental learning DW Zhou, QW Wang, HJ Ye, DC Zhan arXiv preprint arXiv:2205.13218, 2022	149	2022
Few-shot class-incremental learning by sampling multi-phase tasks DW Zhou, HJ Ye, L Ma, D Xie, S Pu, DC Zhan IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2022	110	2022
Fedrs: Federated learning with restricted softmax for label distribution non-iid data XC Li, DC Zhan Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	104	2021
Identifying and compensating for feature deviation in imbalanced deep learning HJ Ye, HY Chen, DC Zhan, WL Chao arXiv preprint arXiv:2001.01385, 2020	103	2020
Adaptive deep models for incremental learning: Considering capacity scalability and sustainability Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	101	2019
Multi-modal image annotation with multi-instance multi-label LDA CT Nguyen, DC Zhan, ZH Zhou Proceedings of the Twenty-Third international joint conference on Artificial …, 2013	88	2013
Learning adaptive classifiers synthesis for generalized few-shot learning HJ Ye, H Hu, DC Zhan International Journal of Computer Vision 129 (6), 1930-1953, 2021	82	2021
Pycil: A python toolbox for class-incremental learning DW Zhou, FY Wang, HJ Ye, DC Zhan Science China Information Sciences 66 (9), 197101, 2023	75	2023
Learning embedding adaptation for few-shot learning HJ Ye, H Hu, DC Zhan, F Sha arXiv preprint arXiv:1812.03664 7, 2018	74	2018
The capacity and robustness trade-off: Revisiting the channel independent strategy for multivariate time series forecasting L Han, HJ Ye, DC Zhan IEEE Transactions on Knowledge and Data Engineering, 2024	72	2024
Complex object classification: A multi-modal multi-instance multi-label deep network with optimal transport Y Yang, YF Wu, DC Zhan, ZB Liu, Y Jiang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	69	2018
Fedphp: Federated personalization with inherited private models XC Li, DC Zhan, Y Shao, B Li, S Song Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021	66	2021
Co-transport for class-incremental learning DW Zhou, HJ Ye, DC Zhan Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021	65	2021

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