Lehr- und Forschungseinheit für Datenbanksysteme

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Yunpu Ma

Yunpu Ma

Research Assistant


Ludwig-Maximilians-Universität München
Lehrstuhl für Datenbanksysteme und Data Mining
Oettingenstraße 67
80538 München

Room: F111


I received a master’s degree in high-energy physics from the Ludwig-Maximilians-University of München in 2016. In the same year, I joined Siemens as a Ph.D. student of computer science. My current research is primarily centered on different topics of artificial intelligence and quantum machine learning. One topic is the cognitive perspective of sematic and episodic knowledge graphs. I am also working on quantum algorithms, causal inference, NLP, and graph-related algorithms. We are always looking for talented and enthusiastic students. If you are interested in my works and looking for a master thesis, please write me an E-Mail cognitive.yunpu@gmail.com.

Research Interests

  • Cognitive Deep Learning 
  • Temporal Knowledge Graphs
  • Quantum Machine Learning
  • Quantum Circuit Design
  • Causal Inference under Interference
  • Natural Language Understanding

Publications & Prep

  1. Feifei Xu, Xinpeng Wang, Yunpu Ma*, Volker Tresp, Yuyi Wang, Shanlin Zhou, and Haizhou Du. Controllable Multi-Character Psychology-Oriented Story Generation. CIKM 2020 
  2. Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, and Volker Tresp. Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI 2020 [pdf]
  3. Zhen Han, Yunpu Ma*, Yuyi Wang, Stephan Guünnemann, and Volker Tresp. The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. AKBC 2020 (Best Paper Nomination) [pdf]
  4. Yunpu Ma, Volker Tresp. Causal Inference under Networked Interference. arXiv:2002.08506 [pdf]
  5. Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, and Yunpu Ma. The Tensor Brain: Semantic Decoding for Perception and Memory. arXiv:2001.11027 [pdf]
  6. Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, and Volker Tresp. Reasoning on Knowledge Graphs with Debate Dynamics. AAAI 2020 [pdf]
  7. Yunpu Ma, Volker Tresp. Quantum Machine Learning Algorithm for Knowledge Graphs. arXiv:2001.01077 [pdf]
  8. Yunpu Ma, Volker Tresp, Liming Zhao, and Yuyi Wang. Variational Quantum Circuit Model for Knowledge Graphs Embedding. Advanced Quantum Technologies 2019 [pdf]
  9. Yunpu Ma, Marcel Hildebrandt, Stephan Baier, and Volker Tresp. Holistic Representations for Memorization and Inference. UAI 2018 [pdf]
  10. Yunpu Ma, Volker Tresp, and Erik Daxberger. Embedding Models for Episodic Knowledge Graphs. Journal of Web Semantics [pdf]
  11. Stephan Baier, Yunpu Ma, and Volker Tresp. Improving Information Extraction from Images with Learned Semantic Models. IJCAI 2018 (Sister Conferences Best Papers) [pdf]
  12. Volker Tresp, Yunpu Ma, and Stephan Baier. Tensor Memories. CCN 2017 [pdf]
  13. Stephan Baier, Yunpu Ma, and Volker Tresp. Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. ISWC 2017 (best student paper award) [pdf]
  14. Volker Tresp, Yunpu Ma, Stephan Baier, and Yinchong Yang. Embedding Learning for Declarative Memories. ESWC 2017 [pdf]

* corresponding author