15 citations · 28 across the 7 of their papers we have counts for
7 papers
Beyond Black Box AI-Generated Plagiarism Detection: From Sentence to Document Level
Mujahid Ali Quidwai, Chunhui Li, Parijat Dube
The increasing reliance on large language models (LLMs) in academic writing has led to a rise in plagiarism. Existing AI-generated text classifiers have limited accuracy and often…
Rank Intraclass Correlation for Clustered Data
Shengxin Tu, Chun Li, Donglin Zeng +1
Clustered data are common in biomedical research. Observations in the same cluster are often more similar to each other than to observations from other clusters. The intraclass cor…
PandA(Box) flies on Bluesky: maintainable and user-friendly fly scans with Mamba at HEPS
Peng-Cheng Li, Cheng-Long Zhang, Yu-Jun Zhang +7
Purpose: Fly scans are indispensible in many experiments at the High Energy Photon Source (HEPS). PandABox, the main platform to implement fly scans at HEPS, needs to be integrated…
CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification
Tianyi Zhang, Zhiling Yan, Chunhui Li +5
In pathology image analysis, obtaining and maintaining high-quality annotated samples is an extremely labor-intensive task. To overcome this challenge, mixing-based methods have em…
Analyzing Clustered Continuous Response Variables with Ordinal Regression Models
Yuqi Tian, Bryan E. Shepherd, Chun Li +2
Continuous response variables often need to be transformed to meet regression modeling assumptions; however, finding the optimal transformation is challenging and results may vary…
Fitting Semiparametric Cumulative Probability Models for Big Data
Chun Li, Guo Chen, Bryan E. Shepherd
Cumulative probability models (CPMs) are a robust alternative to linear models for continuous outcomes. However, they are not feasible for very large datasets due to elevated runni…
Asymptotic Properties for Cumulative Probability Models for Continuous Outcomes
Chun Li, Yuqi Tian, Donglin Zeng +1
Regression models for continuous outcomes often require a transformation of the outcome, which the user either specify {\it a priori} or estimate from a parametric family. Cumulati…