Yanan Li | DeepAI

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Featured Co-authors

Hao Wang
366 publications
Li Zhang
240 publications
Radu Timofte
174 publications
Wei Wu
172 publications
Ke Li
159 publications
Hao Liu
150 publications
Bin Liu
139 publications
Kai Zhang
131 publications
Kai Li
104 publications
Wei Sun
100 publications
Ying Chen
89 publications

∙ 08/08/2023

Real-Time Progressive Learning: Mutually Reinforcing Learning and Control with Neural-Network-Based Selective Memory

Memory, as the basis of learning, determines the storage, update and for...

0 Yiming Fei, et al. ∙

∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

∙ 03/07/2023

Hybrid quantum-classical convolutional neural network for phytoplankton classification

The taxonomic composition and abundance of phytoplankton, having direct ...

0 Shangshang Shi, et al. ∙

∙ 02/07/2023

Quantum Recurrent Neural Networks for Sequential Learning

Quantum neural network (QNN) is one of the promising directions where th...

0 Yanan Li, et al. ∙

∙ 11/15/2022

Selective Memory Recursive Least Squares: Uniformly Allocated Approximation Capabilities of RBF Neural Networks in Real-Time Learning

When performing real-time learning tasks, the radial basis function neur...

0 Yiming Fei, et al. ∙

∙ 10/30/2022

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

Few-shot learning (FSL) targets at generalization of vision models towar...

0 Jing Xu, et al. ∙

∙ 08/24/2022

Q-Net: Query-Informed Few-Shot Medical Image Segmentation

Deep learning has achieved tremendous success in computer vision, while ...

0 Qianqian Shen, et al. ∙

∙ 03/02/2022

Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data

Federated learning (FL) is an emerging privacy-preserving paradigm that ...

0 ZiHao Zhou, et al. ∙

∙ 12/23/2021

Dual Path Structural Contrastive Embeddings for Learning Novel Objects

Learning novel classes from a very few labeled samples has attracted inc...

0 Bingbin Li, et al. ∙

∙ 09/08/2021

From Cloud to Edge: A First Look at Public Edge Platforms

Public edge platforms have drawn increasing attention from both academia...

0 Mengwei Xu, et al. ∙

∙ 05/17/2021

Class-Incremental Few-Shot Object Detection

Conventional detection networks usually need abundant labeled training s...

0 Pengyang Li, et al. ∙

∙ 02/17/2020

Improving Tracking through Human-Robot Sensory Augmentation

This paper introduces human-robot sensory augmentation and illustrates i...

0 Yanan Li, et al. ∙

∙ 12/17/2019

Asynchronous Federated Learning with Differential Privacy for Edge Intelligence

Federated learning has been showing as a promising approach in paving th...

37 Yanan Li, et al. ∙

∙ 06/05/2019

Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis

It has been widely understood that differential privacy (DP) can guarant...

0 Yanan Li, et al. ∙

∙ 04/05/2018

Semi-Supervised Classification for oil reservoir

This paper addresses the general problem of accurate identification of o...

0 Yanan Li, et al. ∙

∙ 05/26/2017

Learning Robust Features with Incremental Auto-Encoders

Automatically learning features, especially robust features, has attract...

0 Yanan Li, et al. ∙

∙ 05/26/2017

Zero-Shot Learning with Generative Latent Prototype Model

Zero-shot learning, which studies the problem of object classification f...

0 Yanan Li, et al. ∙

∙ 03/15/2017

Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths

Zero-shot recognition aims to accurately recognize objects of unseen cla...

0 Yanan Li, et al. ∙

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