Search Results for author: Dezhong Peng

Found 9 papers, 2 papers with code

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval

no code implementations13 Feb 2023 Xu Wang, Dezhong Peng, Ming Yan, Peng Hu

Thanks to the ISS and CCA, our method could encode the discrimination into the domain-invariant embedding space for unsupervised cross-domain image retrieval.

Image Retrieval Retrieval

Incomplete Multi-view Clustering via Prototype-based Imputation

no code implementations26 Jan 2023 Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

Thanks to our dual-stream model, both cluster- and view-specific information could be captured, and thus the instance commonality and view versatility could be preserved to facilitate IMvC.

Contrastive Learning Imputation +1

Twin Contrastive Learning for Online Clustering

2 code implementations21 Oct 2022 Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng

Specifically, we find that when the data is projected into a feature space with a dimensionality of the target cluster number, the rows and columns of its feature matrix correspond to the instance and cluster representation, respectively.

Contrastive Learning Deep Clustering +2

Deep Fair Clustering via Maximizing and Minimizing Mutual Information

no code implementations26 Sep 2022 Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng

Fair clustering aims to divide data into distinct clusters, while preventing sensitive attributes (e. g., gender, race, RNA sequencing technique) from dominating the clustering.


Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification

no code implementations COLING 2022 Tianyi Lei, Honghui Hu, Qiaoyang Luo, Dezhong Peng, Xu Wang

To address this issue, we propose a novel Adaptive Meta-learner via Gradient Similarity (AMGS) method to improve the model generalization ability to a new task.

Few-Shot Text Classification Meta-Learning +2

Contrastive Clustering

1 code implementation21 Sep 2020 Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

In this paper, we propose a one-stage online clustering method called Contrastive Clustering (CC) which explicitly performs the instance- and cluster-level contrastive learning.

Ranked #3 on Image Clustering on STL-10 (using extra training data)

Contrastive Learning Online Clustering

Multiobjective Test Problems with Degenerate Pareto Fronts

no code implementations7 Jun 2018 Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao

The redundancy of some objectives can lead to the multiobjective problem having a degenerate Pareto front, i. e., the dimension of the Pareto front of the $m$-objective problem be less than (m-1).

Multiobjective Optimization

Kernel Truncated Regression Representation for Robust Subspace Clustering

no code implementations15 May 2017 Liangli Zhen, Dezhong Peng, Wei Wang, Xin Yao

Our method has the advantages of a closed-form solution and the capacity of clustering data points that lie on nonlinear subspaces.


Locally linear representation for image clustering

no code implementations24 Apr 2013 Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng

There are two popular schemes to construct a similarity graph, i. e., pairwise distance based scheme and linear representation based scheme.

Image Clustering

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