Search Results for author: Jiashun Jin

Found 9 papers, 3 papers with code

Recent Advances in Text Analysis

1 code implementation1 Jan 2024 Zheng Tracy Ke, Pengsheng Ji, Jiashun Jin, Wanshan Li

In particular, we propose a new statistical model for ranking the citation impacts of $11$ topics, and we also build a cross-topic citation graph to illustrate how research results on different topics spread to one another.

Subject clustering by IF-PCA and several recent methods

1 code implementation8 Jun 2023 Dieyi Chen, Jiashun Jin, Zheng Tracy Ke

We also find that IF-PCA is quite competitive, which slightly outperforms Seurat and SC3 over the $8$ single-cell data sets.

Clustering

Phase transition for detecting a small community in a large network

no code implementations9 Mar 2023 Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru R. Zhang

Using a degree-corrected block model (DCBM), we establish phase transitions of this testing problem concerning the size of the small community and the edge densities in small and large communities.

Sharp Impossibility Results for Hyper-graph Testing

no code implementations NeurIPS 2021 Jiashun Jin, Tracy Ke, Jiajun Liang

In a broad Degree-Corrected Mixed-Membership (DCMM) setting, we test whether a non-uniform hypergraph has only one community or has multiple communities.

Improvements on SCORE, Especially for Weak Signals

no code implementations14 Nov 2018 Jiashun Jin, Zheng Tracy Ke, Shengming Luo

It accommodates severe degree heterogeneity and is adaptive to different levels of sparsity, but its performance for networks with weak signals is unclear.

Clustering Community Detection

Phase Transitions for High Dimensional Clustering and Related Problems

no code implementations24 Feb 2015 Jiashun Jin, Zheng Tracy Ke, Wanjie Wang

In the two-dimensional phase space calibrating the rarity and strengths of useful features, we find the precise demarcation for the Region of Impossibility and Region of Possibility.

Clustering Two-sample testing +1

Optimal classification in sparse Gaussian graphic model

no code implementations21 Dec 2012 Yingying Fan, Jiashun Jin, Zhigang Yao

We propose a two-stage classification method where we first select features by the method of Innovated Thresholding (IT), and then use the retained features and Fisher's LDA for classification.

Classification General Classification +1

Optimality of Graphlet Screening in High Dimensional Variable Selection

no code implementations29 Apr 2012 Jiashun Jin, Cun-Hui Zhang, Qi Zhang

Compared to m-variate brute-forth screening that has a computational cost of p^m, the GS only has a computational cost of p (up to some multi-log(p) factors) in screening.

Variable Selection Vocal Bursts Intensity Prediction

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