most citedContext Aware Image Annotation in Active Learning

7 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Eliminating Search Intent Bias in Learning to Rank

Yingcheng Sun, Richard Kolacinski, Kenneth Loparo

Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can ma…

cs.LG20207 cited

Context Aware Image Annotation in Active Learning

Yingcheng Sun, Kenneth Loparo

Image annotation for active learning is labor-intensive. Various automatic and semi-automatic labeling methods are proposed to save the labeling cost, but a reduction in the number…

cs.CL20202 cited

Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions

Yingcheng Sun, Kenneth Loparo, Richard Kolacinski

Millions of online discussions are generated everyday on social media platforms. Topic modelling is an efficient way of better understanding large text datasets at scale. Conventio…

cs.CL20195 cited

Knowledge-guided Text Structuring in Clinical Trials

Yingcheng Sun, Kenneth Loparo

Clinical trial records are variable resources or the analysis of patients and diseases. Information extraction from free text such as eligibility criteria and summary of results an…

q-bio.GN20194 cited

A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer

Yingcheng Sun, Xiangru Liang, Kenneth Loparo

Mining gene expression profiles has proven valuable for identifying signatures serving as surrogates of cancer phenotypes. However, the similarities of such signatures across diffe…