Search Results for author: Zhirong Yang

Found 15 papers, 6 papers with code

A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium

no code implementations2 Aug 2023 Zhirong Yang, Weijun Gao, Chong Han

Providing continuous bandwidth over several tens of GHz, the Terahertz (THz) band (0. 1-10 THz) supports space-air-ground integrated network (SAGIN) in 6G and beyond wireless networks.

T-SNE Is Not Optimized to Reveal Clusters in Data

no code implementations6 Oct 2021 Zhirong Yang, Yuwei Chen, Jukka Corander

Second, we check the assumptions in the clustering guarantee of t-SNE and find they are often violated for real-world data sets.

Clustering Dimensionality Reduction

Sparse Factorization of Large Square Matrices

1 code implementation16 Sep 2021 Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang

The sparse factorization method is tested for a variety of synthetic and real-world square matrices.

Long-range modeling

Stochastic Cluster Embedding

1 code implementation18 Aug 2021 Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander

In this family, much better cluster visualizations often appear with a parameter value different from the one corresponding to SNE.

Data Visualization

Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition

no code implementations12 Dec 2018 Denis Sedov, Zhirong Yang

Word embedding, which encodes words into vectors, is an important starting point in natural language processing and commonly used in many text-based machine learning tasks.

Doubly Stochastic Neighbor Embedding on Spheres

1 code implementation7 Sep 2016 Yao Lu, Jukka Corander, Zhirong Yang

To solve this problem, we introduce a fast normalization method and normalize the similarity matrix to be doubly stochastic such that all the data points have equal total similarities.

Data Visualization

Learning the Information Divergence

no code implementations5 Jun 2014 Onur Dikmen, Zhirong Yang, Erkki Oja

Here we present a framework that facilitates automatic selection of the best divergence among a given family, based on standard maximum likelihood estimation.

BIG-bench Machine Learning Topic Models

Adaptive Regularization for Transductive Support Vector Machine

no code implementations NeurIPS 2009 Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang

In this framework, SVM and TSVM can be regarded as a learning machine without regularization and one with full regularization from the unlabeled data, respectively.

Heavy-Tailed Symmetric Stochastic Neighbor Embedding

no code implementations NeurIPS 2009 Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja

Based on this finding, we present a parameterized subset of similarity functions for choosing the best tail-heaviness for HSSNE; (2) we present a fixed-point optimization algorithm that can be applied to all heavy-tailed functions and does not require the user to set any parameters; and (3) we present two empirical studies, one for unsupervised visualization showing that our optimization algorithm runs as fast and as good as the best known t-SNE implementation and the other for semi-supervised visualization showing quantitative superiority using the homogeneity measure as well as qualitative advantage in cluster separation over t-SNE.

Data Visualization

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