Chen, Li

Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection

Developing reliable healthcare AI models requires training with representative and diverse data. In imbalanced datasets, model performance tends to plateau on the more prevalent classes while...

Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions

My research lies in the intersection of security and machine learning. This overview summarizes one component of my research: combining computer vision with malware exploit detection for enhanced...

TR-ICRL: Test-Time Rethinking for In-Context Reinforcement Learning

Personalized News Headline Generation via Multi-Agent User Simulation

Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents

DualEval: Joint Model-Item Calibration for Unified LLM Evaluation

A Preliminary Work on Symptom Name Recognition from Free-Text Clinical Records of Traditional Chinese Medicine using Conditional Random Fields and Reasonable Features

Tri-Training for Authorship Attribution with Limited Training Data

Ranking-Based Autoencoder for Extreme Multi-label Classification

Xiaomingbot: A Multilingual Robot News Reporter

Personalized Transformer for Explainable Recommendation

Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models

MemRec: Collaborative Memory-Augmented Agentic Recommender System

Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards

Understanding the Importance of Single Directions via Representative Substitution

Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or convolution...