Projects

Research projects in biomedical NLP, knowledge graphs, multi-agent systems, and anomaly detection.

Orchestrator-Centered Multi-Agent Systems for Clinical Reasoning

Specialized large language model agents generate, review, and refine diagnostic predictions through structured multi-step interactions, coordinated by a reinforcement-learning orchestrator.

Multi-Agent SystemsLLMsReinforcement LearningClinical AI

BadSAD

Clean-label backdoor attacks against deep semi-supervised anomaly detection models.

Paper

Anomaly DetectionBackdoor AttacksTrustworthy AI

LogosKG

Hardware-optimized, scalable, and interpretable multi-hop retrieval over large knowledge graphs.

Paper · Code

Knowledge GraphsLLMsBiomedical NLP

BLOG

A backdoor attack framework designed for log anomaly detection models.

Paper · Code

Anomaly DetectionBackdoor AttacksLog Data

CFDet

Counterfactual explanations for sequence anomaly detection that identify minimal changes needed to convert an anomalous sequence into a normal one.

Paper · Code

Anomaly DetectionCounterfactual ExplanationSequence Modeling

BA-OCAD

A clean-label backdoor attack framework targeting one-class sequential anomaly detection models.

Paper · Code

Anomaly DetectionBackdoor AttacksSecurity

EASD

Prototype-based explainable sequential anomaly detection with human-understandable explanations.

Paper · Code

Anomaly DetectionExplainabilityPrototypes

GLEAD

Sequential anomaly detection with both local explanations and global explanations.

Paper · Code

Anomaly DetectionInterpretabilitySequential Data