7 citations · 18 across the 6 of their papers we have counts for
6 papers
A Low-Latency Fraud Detection Layer for Detecting Adversarial Interaction Patterns in LLM-Powered Agents
Sheldon Yu, Yingcheng Sun, Hanqing Guo +1
Large Language Model (LLM)-powered agents demonstrate strong capabilities in autonomous task execution, tool use, and multi-step reasoning. However, their increasing autonomy also…
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…
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…
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…
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…
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…