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方敏
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Professor Supervisor of Doctorate Candidates graduate teacher
Paper Publications
[1]Generalized zero-shot domain adaptation with target unseen class prototype learning.NEURAL COMPUTING & APPLICATIONS.2022, Vol.34, No.20,pp17793-17807, WOS:000805925400002, ISSN :0941-0643
[2]An active unseen sample selection framework for generalized zero-shot classification.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS. 2022,Vol.13,No.8,pp:2119-2134.
[3]Partial Label Dimensional Reduction via Semantic Difference Information and Manifold Regularization.INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 31(02),2022,DOI 10.1142/S0218213022500257
[4]Bias alleviating generative adversarial network for generalized zero-shot classification.Image and Vision Computing .2021,Vol.105,WOS号:WOS:000611984800011
[5]Low-rank embedded orthogonal subspace learning for zero-shot classification.Journal of Visual Communication and Image Representation (2021): 102981
[6]Generalized zero-shot classification via iteratively generating and selecting unseen samples.Signal Processing: Image Communication, 2021.92(3):116115
[7]RSU-Assisted Traffic-Aware Routing Based on Reinforcement Learning for Urban Vanets.IEEE Access, 2020, Vol. 8:5733-5748. WOS:000524645300001
[8]Learning discriminative and meaningful samples for generalized zero shot classification.Signal Processing: Image Communication, 2020, 87:115920.
[9]Zero shot Learning Based on Class Visual Prototypes and Semantic Consistency.Pattern Recognition Letters, 2020. Vol.135,,pp:368-374.
[10]Learning domain invariant unseen features for generalized zero-shot classification.Knowledge-Based Systems, 2020, Vol.206, WOS:000571534300003
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