Search Results for author: Yangyang Li

Found 15 papers, 4 papers with code

Watch out Venomous Snake Species: A Solution to SnakeCLEF2023

1 code implementation19 Jul 2023 Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Fei Wang, Faen Zhang, Yong Li, Xiu-Shen Wei

The SnakeCLEF2023 competition aims to the development of advanced algorithms for snake species identification through the analysis of images and accompanying metadata.

Data Augmentation

DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing

no code implementations9 May 2023 Songling Zhu, Ronghua Shang, Bo Yuan, Weitong Zhang, Yangyang Li, Licheng Jiao

This paper proposes a novel knowledge distillation algorithm based on dynamic entropy correction to reduce the gap by adjusting the student instead of the teacher.

Knowledge Distillation

Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media

no code implementations6 Apr 2023 BoWen Zhang, Xianghua Fu, Daijun Ding, Hu Huang, Yangyang Li, Liwen Jing

Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media.

Stance Detection

CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation

no code implementations15 Jan 2023 Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan

However, the manifold of the resultant feature representations does not maintain the intrinsic ordinal relations of interest, which hinders the effectiveness of the image ordinal estimation.


Location-Free Camouflage Generation Network

1 code implementation18 Mar 2022 Yangyang Li, Wei Zhai, Yang Cao, Zheng-Jun Zha

However, these methods struggle in 1) efficiently generating camouflage images using foreground and background with arbitrary structure; 2) camouflaging foreground objects to regions with multiple appearances (e. g. the junction of the vegetation and the mountains), which limit their practical application.

Deep reinforcement learning guided graph neural networks for brain network analysis

no code implementations18 Mar 2022 Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David Mcalpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He

Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), enable us to model the human brain as a brain network or connectome.

reinforcement-learning Reinforcement Learning (RL) +1

RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition

no code implementations7 Dec 2021 Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao

Recently, a massive number of deep learning based approaches have been successfully applied to various remote sensing image (RSI) recognition tasks.

Land Cover Classification Neural Architecture Search +3

Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition

no code implementations23 Jul 2021 Shasha Mao, GuangHui Shi, Licheng Jiao, Shuiping Gou, Yangyang Li, Lin Xiong, Boxin Shi

Based on this, we propose a new method that amends the label distribution of each facial image by leveraging correlations among expressions in the semantic space.

Facial Expression Recognition Facial Expression Recognition (FER)

Locate Who You Are: Matching Geo-location to Text for User Identity Linkage

no code implementations19 Apr 2021 Jiangli Shao, Yongqing Wang, Hao Gao, HuaWei Shen, Yangyang Li, Xueqi Cheng

However, encouraged by online services, users would also post asymmetric information across networks, such as geo-locations and texts.

Anchor link prediction Marketing

Efficient High-Dimensional Data Representation Learning via Semi-Stochastic Block Coordinate Descent Methods

no code implementations25 Sep 2019 Bingkun Wei, Yangyang Li, Fanhua Shang, Yuanyuan Liu, Hongying Liu, ShengMei Shen

To address this issue, we propose a novel hard thresholding algorithm, called Semi-stochastic Block Coordinate Descent Hard Thresholding Pursuit (SBCD-HTP).

Face Recognition Representation Learning

Curvature-aware Manifold Learning

no code implementations22 Jun 2017 Yangyang Li

The purpose of our algorithm is to break the local isometry assumption and to reduce the dimension of the general manifold which is not isometric to Euclidean space.

Locality preserving projection on SPD matrix Lie group: algorithm and analysis

no code implementations28 Mar 2017 Yangyang Li, Ruqian Lu

Our work is based on the fact that the set of all SPD matrices with the same size has a Lie group structure, and we aim to transform the manifold learning to the SPD matrix Lie group.

Action Recognition Dimensionality Reduction +2

Applying Ricci Flow to High Dimensional Manifold Learning

no code implementations3 Mar 2017 Yangyang Li, Ruqian Lu

Traditional manifold learning algorithms often bear an assumption that the local neighborhood of any point on embedded manifold is roughly equal to the tangent space at that point without considering the curvature.

Dimensionality Reduction Vocal Bursts Intensity Prediction

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