Chuangtao Ma

Chuangtao Ma

Postdoctoral Researcher

Aalborg Univesity

Biography

Chuangtao Ma is a postdoctoral researcher at the Department of Computer Science of Aalborg University (AAU). He works in the Data Engineering, Science and Systems (DESS) group with Prof. Arijit Khan. He previously received his Ph.D. in informatics from Eötvös Loránd University (ELTE).

His research interests include data integration, ontology learning, knowledge representation, and knowledge graph. Currently, he is keen on the topic of knowledge empowered machine learning, knowledge augmented model, and their applications in data management.

I am on the job market from 2027. Feel free to reach out if you consider me a good fit!
Interests
  • Data & Knowledge Management
  • Ontology & Knowledge Graphs
  • Knowledge Augmented Model
  • Graph Representation Learning
Education

  • Ph.D. in Information Systems

    Eötvös Loránd University (ELTE), Budapest, Hungary

  • M.Sc in Management Information Systems

    Xi'an Polytechnic University, Xi'an, China

News & Updates

Oct 2026 One paper has been accepted to ACM TKDD
Sep 2026 One paper has been accepted to ACM SIGMOD 2027
Jul 2026 Recognized as a commendable reviewer for KDD 2026
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Recent Publications

Chuangtao Ma, Zeyu Zhang, Arijit Khan, Sebastian Schelter, Paul Groth (2026). Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Batch Processing Framework. In SIGMOD 2027.

arXiv Code

Chuangtao Ma, Sriom Chakrabarti, Arijit Khan, Bálint Molnár (2026). Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching. In ACM TKDD.

Code arXiv

Chuangtao Ma, Arijit Khan (2026). Towards Trustworthy and Cost-Efficient Data Integration: From Naïve RAG to Agentic RAG. In TCDE Bulletin.

PDF arXiv

See all publications

Research Topics

Data Integration Graph RAG Information Systems Knowledge Graph Ontology Learning Schema Matching

Selected Talks

The Role Evolution of KGs in Synthesizing with LLMs: From Background Knowledge to Joint Reasoning
In this talk, an overview of the role evolution of KGs in synthesizing LLMs with KGs is introduced. The related applications are summarized, and the open challenges and opportunities are discussed and highlighted.
Jun 2, 2025 2:45 PM — 3:30 PM Grand hotel Bernardin, Portorož, Slovenia
PDF Slides
Unifying LLMs and KGs for Question Answering: Recent Advances and Opportunities
In this tutorial, an overview of the state-of-the-art advances in unifying LLMs with KGs for QA is introduced, and the open challenges are summarized and the opportunities for data management are highlighted.
Mar 27, 2025 10:30 AM — 12:30 PM Universitat Politècnica de Catalunya, Barcelona, Spain
Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
Slides Webpage
Heterogeneous Data Integration and Sharing for Intelligent Decision-Making
This presentation introduces the key challenges of intelligent decision-making across multiple data sources in an organization and explores how knowledge-enhanced data integration methods can empower intelligent decision-making through advanced data sharing and analysis.
Nov 30, 2023 9:20 AM — 9:45 AM Northwest A&F University, Yangling, China
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Service & Reviewer

VLDB'26, CoopIS'25, LLM+Graph@VLDB'25, LLM+KG@VLDB'24, SeMatS@ISWC'25
(Shadow) PC Member
ICLR'25, VLDB'25&24, KDD'25, AISTATS'26, ECIR'26, DSAA'25, ADC'25, Demos@ICDE'25, LOG'25&24
Conference (External) Reviewer
TKDE, TNNLS, TKDD, KBS, NEUCOM, PMJ, JAIT
Journal Reviewer
GOBLIN COST Action
MC Member

Contact

  • chuma[at]cs[dot]aau[dot]dk
  • Selma Lagerløfs Vej 300, Aalborg, 9220
  • Room 3.2.16, Cluster 3