activity
20172020
most citedTowards More Usable Dataset Search: From Query Characterization to Snippet Generation

18 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IT2020★ 2 cited

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources

Jinchi Chen, Weiguo Gao, Sihan Mao +1

We consider the problem of resolving point sources from samples at the low end of the spectrum when point spread functions (PSFs) are not known. Assuming that the spectrum…

cs.IT2019★ 3 cited

Exact matrix completion based on low rank Hankel structure in the Fourier domain

Jinchi Chen, Weiguo Gao, Ke Wei

Matrix completion is about recovering a matrix from its partial revealed entries, and it can often be achieved by exploiting the inherent simplicity or low dimensional structure of…

cs.IR2019★ 18 cited

Towards More Usable Dataset Search: From Query Characterization to Snippet Generation

Jinchi Chen, Xiaxia Wang, Gong Cheng +2

Reusing published datasets on the Web is of great interest to researchers and developers. Their data needs may be met by submitting queries to a dataset search engine to retrieve r…

cs.IR2019

A Framework for Evaluating Snippet Generation for Dataset Search

Xiaxia Wang, Jinchi Chen, Shuxin Li +4

Reusing existing datasets is of considerable significance to researchers and developers. Dataset search engines help a user find relevant datasets for reuse. They can present a sni…

cs.IT2017

Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements

Jinchi Chen, Yulong Liu

This paper studies the problem of accurately recovering a structured signal from a small number of corrupted sub-Gaussian measurements. We consider three different procedures to re…

cs.IT2017

Corrupted Sensing with Sub-Gaussian Measurements

Jinchi Chen, Yulong Liu

This paper studies the problem of accurately recovering a structured signal from a small number of corrupted sub-Gaussian measurements. We consider three different procedures to re…