TiansiSenior Researcher

Computer Science Institute
University of Bonn

Profiles: Google ScholarDBLP

Room A118
Römerstr. 164, 53117 Bonn, Germany
University of Bonn, Computer Science
tian1shi2@gmail.com

 

Short CV


Dr. Tiansi Dong is a Senior Researcher at the University of Bonn. His research interests include AI/Machine Learning (deep learning), Spatial Representation and Reasoning, Natural Language Understanding.

Research Interests


  • AI/Machine Learning (deep learning)
  • Spatial Representation and Reasoning
  • Natural Language Understanding

Publications


    1. Tiansi Dong, Armin Cremers and Juanzi Li (2016). The Fix-point of Dependency Graph — A Case Study of Chinese-German Similarity. In A. Gelbukh (Ed.): CICLing 2016, A special issue of the journal Research in Computing Science.
    2. Yibin Jiang, Tiansi Dong,Armin B. Cremers, Joachim Köhler (2016). Towards a Dialogue System Supporting Automatic Event Identification. DMS 2016: 148-152
    3. Dong, Tiansi(2015). Cross-Domain Cue Switching . In A. G. Hauptmann and J. Hodson and J. Li and N. Sebe and A. Rettinger (Ed.): Cross-Lingual Cross-Media Content Linking: Annotations and Joint Representations (Dagstuhl Seminar 15201), pp. 47. Schloss Dagstuhl–Leibniz-Zentrum für Informatik (2015)
    4. Dong, Tiansi and Cremers, Armin B. (2014). A Novel Machine Translation Method for Learning Chinese as a Foreign Language. In A. Gelbukh (Ed.): CICLing 2014, Part II, LNCS 8404, pp. 343–354. Springer, Heidelberg (2014)
    5. Dong, Tiansi and Cui, Peiling (2013). Slow Intelligent Segmentation of Chinese Sentences using Conceptual Interval. The 19th International Conference on Distributed Multimedia Systems. Brighton, UK. August 8-10, 2013.
    6. Dong, Tiansi. (2012).Recognizing Variable Environment — The Theory of Cognitive Prism . Studies in Computational Intelligence, Vol. 388, Springer-Verlag, Berlin Heidelberg.
    7. Dong, Tiansi (2012).Modeling Human Intelligence with Slow Intelligence Systems. International Journal of Software Engineering and Knowledge Engineering 22(8): 1039-1053.
    8. Dong, Tiansi and Gloeckner, Ingo (2012). Relating Slow Intelligence Research to Bilingulism. The 18th International Conference on Distributed Multimedia Systems. Miami, USA. August 9-11, 2012.
    9. Pelzer, B., Gloeckner, Ingo, and Dong, Tiansi (2011). LogAnswer in Question Answering Forums. The 3rd International Conference on Agents and Artificial Intelligence. Page 492-497, Rome, Italy. January, 2011.
    10. Dong, Tiansi, Furbach, U., Gloeckner, I., and Pelzer, B. (2011). A Natural Language Question Answering System as a Participant in Human Q&A Portals. IJCAI 2011. Page 2430-2435, Barcelona, Spain. July 16-22, 2011.
    11. Dong, Tiansi and Gloeckner, I. (2011). Word Expert Translation from German into Chinese in the Slow Intelligence Framework. The 17th International Conference on Distributed Multimedia Systems. Florence, Italy. August 18-20, 2011.
    12. Dong, Tiansi and Vor der Brueck, T. (2011). Qualitative Spatial Knowledge Acquisition Based on the Connection Relation. The Third International Conference on Advanced Cognitive Technologies and Applications. Rome, Italy. September 25-30, 2011.
    13. Dong, Tiansi (2010). Modeling Human Intelligence as A Slow Intelligence System. The 16th International Conference on Distributed Multimedia Systems. Illinois, USA. October 14-16, 2010. Best Paper Award
    14. Dong, Tiansi (2010). Cognitive Prism – More than a Metaphor of Metaphor. In: Y. Wang, D. Zhang, and W. Kinsner (Eds.) Advances in Cognitive Informatics and Cognitive Computing. Page 245-264, Studies in Computational Intelligence, Vol. 323, Springer-Verlag Berlin Heidelberg 2010.
    15. Dong, Tiansi (2008).A Comment on RCC: from RCC to RCC++ . Journal of Philosophical Logic 37(4): 319-352. We prove that RCC is wrong
    16. Dong, Tiansi (2007). Knowledge Representation of Distance and Orientation Relations for Regions . In: The International Journal of Cognitive Informatics and Natural Intelligence, 1(2):86-99.
    17. Dong, Tiansi (2008). A Common Sense Approach to Representing Spatial Knowledge between Extended Objects. In: Novel Approaches in Cognitive Informatics and Natural Intelligence. Page 142-156, Information Science Reference, USA.
    18. Dong, Tiansi and Guesgen, W. Hans (2008).A Uniform Framework for Orientation Relations based on Distance Comparison . In: the 7th IEEE International Conference on Cognitive Informatics, pages 114-121. Stanford University, California, USA. August 14-16, 2008.
    19. Dong, Tiansi (2008). Cognitive Prism: a Bridge between Meta Cognitive Model and Higher Cognitive Models . In: the 7th IEEE International Conference on Cognitive Informatics, pages 75-82. Stanford University, California, USA. August 14-16, 2008.
    20. Dong, Tiansi (2007).Towards a Spatial Representation for the Meta Cognitive Process Layer of Cognitive Informatics . In: the 6th IEEE International Conference on Cognitive Informatics, pages 52-61. Harrah’s Hotel, Lake Tahoe, California, USA. August 6-8, 2007.
    21. Dong, Tiansi (2007). The Nine Comments on the RCC Theory . In: AAAI’07 Workshop on Spatial and Temporal Reasoning. Vancouver, BC, Canada, July 22-26, 2007. We list nine flaws of the RCC
    22. Dong, Tiansi and Guesgen, W.H. (2007). Is an Orientation Relation a Distance Comparison Relation? . In: IJCAI’07 Workshop for Spatial Temporal Reasoning, pages 45-51. Hyderabad, India. January 6-12, 2007.
    23. Dong, Tiansi (2006).The Theory of Cognitive Prism – Recognizing Variable Vista Spatial Environments .In: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, pages 719-724. Menlo Park, Calif.: AAAI Press.
    24. Dong, Tiansi (2005).SNAPVis and SPANVis: Ontologies for Recognizing Variable Vista Spatial Environments . In C. Freksa, et al. (Eds.), Spatial Cognition IV: Reasoning, Action, Interaction, International Conference on Spatial Cognition 2004, Frauenchiemsee, Germany, Vol. 3343, pages 344-365, Lecture Notes in Artificial Intelligence. Springer.
    25. Dong, Tiansi (2003). A Computational Approach to Distinguish Similar Assemblies of Circles . In: European Cognitive Science Conference 2003. page 381. Lawrence Erlbaum Associates, Publishers, Mahwah, New Jersey, London.