Mengying Wang

Mengying Wang
王孟莹

Ph.D. Candidate in Computer Science
Depart. of Computer & Data Sciences
Case School of Engineering
Case Western Reserve University
Cleveland, OH USA

Email: mxw767 AT case DOT edu
X(Twitter): @MengyingWang_

About

I'm a fourth-year Ph.D. student in Computer Science at Case Western Reserve University, advised by Dr. Yinghui Wu. I was working as an Applied Scientist Intern at Amazon AGI (Artificial General Intelligence), mentored by Nicolaas Jedema and Dr. Jens Lehmann. My research interests lie in leveraging the power of knowledge graphs for advanced knowledge discovery, with a particular emphasis on Graph Query Manipulation and Graph Neural Networks (GNNs). I am also passionate about intergrating large language models (LLMs) with external knowledge bases to enhance their control and reliability, enabling more trustworthy and accurate knowledge discovery.


Research Interestes:







NEWs:


Projects

CRUX

  • CRUX Platform - Crowdsourced data engine for scientific data resources
    ML Assets Management, Knowledge Graph, Scientific Data Discovery, Ontology
  • ModsNet - Machine Learning Model Management and Recommendation System
    Model Selection, GraphML for Recommendation, Graph Sparsification
  • Model-Driven Data Discovery
    Data Discovery, Approximation Algorithms, Combination Optimization
  • Scientific Workflow Management
    Agentic Workflow Management, Multi-agent Systems

GExp

  • RoboGExp - Generating robust GNN explanations (both counterfactual and factual)
    GNN Explanation, Parallel Algorithm, Robust GNN

QGen

  • GraphLingo - Integrates LLMs with KGs for NL-based knowledge exploration
    LLMs + KG, Retrieval-augmented LLM, Query Optimization
  • FairGSum - Fairness-aware Graph Summarization
    Graph Summaries, Fairness, Approximation Algorithms
  • QGenP - Question Generation to ensure both diversity and group fairness
    Query Optimization, Bi-criteria Optimization, Fairness

DrugKG

  • Drug Repurposing based on knowledge graph
    AI4Science, Drug Discovery, Link Prediction, GNN Explanation

Publications

Google Scholer , DBLP (* equal contribution)



2025

2024

2023

2022

Teaching

Awards