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Fan Liu

Hohai University

8 Focheng West Road

Jiangning District

Nanjing, 211100

China

SCHOLARLY PAPERS

5

DOWNLOADS

292

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Few-Shot Classification Guided by Generalization Error Bound

Number of pages: 30 Posted: 12 Jun 2023
Hohai University, Nantong University, Hohai University, Government of the Commonwealth of Australia - Data61 and Griffith University
Downloads 113 (626,371)

Abstract:

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Few-shot classification, Generalization error bound, self-supervised learning, knowledge distillation

2.

A Comprehensive Review for Generalized Few-Shot Imageclassification

Number of pages: 36 Posted: 03 Jan 2025
Nantong University, Nantong University, Hohai University, Nantong University, Nantong University and Griffith University
Downloads 103 (674,591)

Abstract:

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Deep learning, Generalized few-shot image classification, Implemented Artificial Intelligence, Application of Artificial Intelligence

3.

Image Restoration Model Compression via Mamba-oriented Heterogeneous Knowledge Distillation

Number of pages: 26 Posted: 28 Aug 2025 Last Revised: 02 Oct 2025
Nantong University, Nantong University, Nantong University, Hohai University and Griffith University
Downloads 39 (1,196,171)

Abstract:

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image restoration, Model Compression, Heterogeneous Knowledge

4.

Heterogeneous Knowledge Distillation Fostered Pre-training for Remote Sensing Object Detection

Number of pages: 26 Posted: 31 Oct 2025
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, Hohai University and Macquarie University
Downloads 32 (1,304,549)

Abstract:

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object detection, pre-training, heterogeneous distillation, remote sensing

5.

Robust Noisy Correspondence Learning via Self-Drop and Dual-Weight

Number of pages: 29 Posted: 02 Feb 2026
Hohai University, Hohai University, Hohai University, Hohai University, affiliation not provided to SSRN, Nantong University and Macquarie University
Downloads 5 (1,571,455)

Abstract:

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Cross-modal Matching Noisy Correspondence Multi-modal Learning.