Search Results for author: Yunfan Li

Found 10 papers, 4 papers with code

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: Theory, Algorithm and Metric

no code implementations CVPR 2023 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 (\textit{e. g.}, gender, race, RNA sequencing technique) from dominating the clustering.


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

UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs

1 code implementation20 Jul 2020 Yongbin Gu, Wenxuan Wu, Yunfan Li, Lizhong Chen

The recent introduction of Unified Virtual Memory (UVM) in GPUs offers a new programming model that allows GPUs and CPUs to share the same virtual memory space, shifts the complex memory management from programmers to GPU driver/ hardware, and enables kernel execution even when memory is oversubscribed.

Hardware Architecture

Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP

no code implementations16 Mar 2020 Zhenyu Liang, Yunfan Li, Zhongwei Wan

EDA establishes a probability model to describe the distribution of solution from the perspective of population macroscopically by statistical learning method, and then randomly samples the probability model to generate a new population.

Stochastic Optimization

Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks

no code implementations16 Mar 2020 Zhenyu Liang, Yunfan Li, Zhongwei Wan

In this paper, we will propose a novel algorithm based on RVEA[1] framework and using Distributional Adversarial Networks (DAN) [2]to generate new offspring.

Stochastic Optimization

Horseshoe Regularization for Machine Learning in Complex and Deep Models

no code implementations24 Apr 2019 Anindya Bhadra, Jyotishka Datta, Yunfan Li, Nicholas G. Polson

We also outline the recent computational developments in horseshoe shrinkage for complex models along with a list of available software implementations that allows one to venture out beyond the comfort zone of the canonical linear regression problems.

BIG-bench Machine Learning regression

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