Yongli Mou

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Contact Information:

Address

Lehrstuhl Informatik 5
Building: E2
Room: 6208
Ahornstr. 55, 52074 Aachen

Phone Number

(0)241-8021-520

E-mail Address

mou@dbis.rwth-aachen.de

GitHub

here

Research Gate

here

Short Bio

I am Ph.D. candidate advised by Prof. Dr. Stefan Decker and co-supervised by Prof. Dr. Oya Beyan and work as a research assistant at the Chair of Computer Science i5 Information Systems and Databases (Informatik 5, DBIS) at RWTH Aachen University since July 2020. I received my master’s degree in Computer Science in 2020 from RWTH Aachen University. My research interests are in the field of Federated Learning, Data Privacy, and Blockchain applications.

Current Teaching:

Past Teachings:

Projects:

Theses:

Comparative analyses of hybrid LLMs with Knowledge base integration and RAGs in biomedical domain (
Open
)
Design and Evaluation of AI Agent Systems for Enterprise Software (
Running
)
AI-Driven Intelligent Scheduling System in Healthcare and Long-Term Care (
Running
)
Development of Coding AI Agent (
Running
)
ScrumiX: AI-empowered agile project management system (
Running
)
Knowledge Graph-Based Chinese Tourism Recommendation System with Large Language Models (
Running
)
Knowledge Graph-Enhanced Vision-Language Models for Radiology Report Generation (
Running
)
Knowledge Graph Construction for German Law Documents (
Running
)
Rethinking Federated Learning in Personal Health Train (
Running
)
On the Analysis and Mitigation of Hallucination in Vision-Language Models (
Running
)
Implementing Agentic Graph RAG System for Oral Maxillofacial Surgery Guidelines/Books (
Running
)
Brain Tumor Segmentation from 3D MRI Images using Diffusion Models (
Running
)
Single-Cell Centric Biomedical Foundation Models for Cancer (
Running
)
Knowledge Graph Construction from Biomedical Literature using Large Language Models (
Running
)
An Empirical Study of Open Source Large Language Models (OSLLMs) (
Finished
)
Enhancing Knowledge Graph Embedding with Uncertainty Modeling using Fuzzy Logic (
Finished
)
Consistency-checking German Pathology Reports using Large Language models (
Finished
)
Knowledge and Social Context-enhanced Fake News Detection (
Finished
)
WILLM: A System for Academic Writing Improvement basedon Large Language Models (
Finished
)
Scientific Question Answering using Retrieval-Augmented Large Language Models (
Finished
)
Analysing Policy Documents using AI-based Large Language Models (LLMs) (
Finished
)
Analysing Scientific Publications using AI-based Large Language Models (LLMs) (
Finished
)
MuCo – Music Composer: Can AI Rival Human Creativity? (
Finished
)
Mastering the Game of Contract Bridge: Strategy Optimization via Deep Reinforcement Learning (
Finished
)
Adversarial Attacks against Face Detection Systems (
Finished
)
Improved Bottom-up Deep Learning Approach for Neuronal Cell Instance Segmentation (
Finished
)
Membership Inference Attacks against Generative Models and Differential Privacy Defense (
Finished
)
Personalized Federated Hetero-task Learning on Graph Data (
Finished
)
Decentralized Identity and Access Management for Distributed Machine Learning Systems (
Finished
)
Bridging the gap between design and deployment of statistical analyses in Distributed Analytics (
Finished
)
Defense against Data Poisoning Attacks in Federated Learning (
Finished
)

Publications:

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DBIS

Yongli Mou

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