My name is Cuong Xuan Chu. I am a Research Engineer at Bosch Center for AI, Renningen, Germany. My research focuses on information extraction & knowledge acquisition and AI solutions over knowledge graphs. I completed my PhD in 2022 at the Max Planck Institute for Informatics, Saarbrücken, Germany. The focus of my PhD research was on Knowledge Extraction from Fictional Domains. Prior to my PhD, I did my Master at the International Max Planck Research Schools (IMPRS). My Master thesis is about Mining How-to Task Knowledge from Online Communities.

News

  • 2023-06: Attend ESWC conference, Hersonissos, Greece.
  • 2023-05: Attend the plenary meeting of enRichMyData project, Dubrovnik, Croatia.
  • 2022-10: Attended the kickoff meeting of enRichMyData project, Oslo, Norway.
  • 2022-09: Joined Bosch as Research Engineer in NLP & Neuro-symbolic AI group.
  • 2022-04: Defended my PhD.
  • 2021-10: The AKBC conference, Online.
  • 2021-09: Joined FPT Software (NextG & NamiTech Incubator) as Tech Consultant.
  • 2020-11: The EMNLP conferene, Online.
  • 2020-02: The WSDM conference, Houston, TX, USA.

Publications

  • KnowFi: Knowledge Extraction from Long Fictional Texts

    Cuong Xuan Chu, Simon Razniewski and Gerhard Weikum
    The 3rd Conference on Automated Knowledge Base Construction (AKBC 2021)

  • ENTYFI: Entity Typing in Fictional Texts

    Cuong Xuan Chu, Simon Razniewski and Gerhard Weikum
    The 13th International Conference on Web Search and Data Mining (WSDM 2020)

  • ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts (demo paper)

    Cuong Xuan Chu, Simon Razniewski and Gerhard Weikum
    The 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020)

  • TiFi: Taxonomy Induction for Fictional Domains

    Cuong Xuan Chu, Simon Razniewski and Gerhard Weikum
    The World Wide Web Conference (i.e. WWW 2019)

  • Distilling Task Knowledge from How-To Communities

    Cuong Xuan Chu, Niket Tandon and Gerhard Weikum
    The 26th International Conference on World Wide Web (WWW 2017)

  • Sequence to Sequence Learning for Event Prediction

    Dai Quoc Nguyen, Dat Quoc Nguyen, Cuong Xuan Chu, Stefan Thater and Manfred Pinkal
    International Joint Conference on Natural Language Processing (IJCNLP 2017)

  • Learning based approaches for Vietnamese Question Classification Using Keywords Extraction from Web

    Dang Hai Tran, Cuong Xuan Chu, Son Bao Pham and Minh Le Nguyen
    International Joint Conference on Natural Language Processing (IJCNLP 2013)

Research Activities

  • PC Member and Reviewer

    ISWC 2020-2022, IJCAI 2021-2022, CIKM 2018, KSE 2019, WSDM 2020

  • Nov 2014 - Feb 2015: Internship at SUTD, Singapore

    Neural Probabilistic Language Modeling: Examining the integration of word embeddings and neural probabilistic language models using deep neural networks.

  • Jul 2014 - Oct 2014: Internship at NII, Japan

    Mining spatio-temporal data: Building a graph between “special points” (intersections, most visiting places) from trajectories by first indexing a large data corpus using R* tree, then employing a hybrid approach which combines the density-based approach and moving-based approach to cluster trajectory points.

Teaching

  • Un-graduated Courses

    Fundamental Information Technology, Programming, Computer Network
    At VNU University of Engineering and Technology, 2013-2014.

Education

Misc

My hobby is badminton. I had played some district-level leauges when I was in Saarbruecken, but mostly for fun.