Binh Nguyen

Ph.D in Informatics
Email: x@y (where x=nguyenthaibinh, y=gmail.com)
I am a Data scientist at Rakuten Inc., where I build machine learning models for Geospatial data. The applications that I am building include: human mobility analysis from spatio-temporal trajectories (GPS data) and ETA (Estimated Arriving Time) prediction for the intelligent logistics project; human spatial behavior analysis and customer profiling for online marketing.
I completed my Ph.D in Recommender Systems and Deep Learning at the National Institute of Informatics (NII), Japan. Previously, I received my master in Text mining at the Japan Advanced Instutute of Science and Technology (JAIST), Japan, and my bachelor degree in Computer science at the Hanoi University of Science and Technology (HUST), Vietnam.
Research interests: Deep Learning, Natural Language Processing, Recommender Systems.

Education

  • 2019: Ph.D in Informatics, National Institute of Informatics (NII), Japan
  • 2008: MSc. in Computer Science, Japan Advanced Institute of Science and Technology (JAIST), Japan
  • 2003: BS in Computer Science, Hanoi University of Science and Technology (HUST), Vietnam

Experience

  • 2018 ~ now: Data Scientist/AI Engineer at Rakuten Corp.: Machine learning on Geospatial data with the application in last mile delivery and marketing.
  • Summer 2018: Visiting researcher at Deakin University: MAP inference algorithms.
  • 2015 ~ 2016: Part-time data scientist at Supership Inc.: Multi-arm bandits and classification models for optimizing online advertisement.
  • 2008 ~ 2015: Lecturer at Hanoi University of Science and Technlogy: Data Structures and Algorithms, C/C++, Probabilistics.

Publications

  • ThaiBinh Nguyen, Atsuhiro Takasu (2019). Learning Representations from Product Titles for Modeling Shopping Transactions. In AAAI-19 Workshop on Recommender Systems and Natural Language Processing (RecNLP), Honolulu, Hawaii, United States. [pdf]
  • ThaiBinh Nguyen, Atsuhiro Takasu (2018). NPE: Neural Personalized Embedding for Collaborative Filtering. In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Sweden. [pdf][code][bibtex]
  • ThaiBinh Nguyen, Kenro Aihara, Atsuhiro Takasu (2017). Collaborative Item Embedding Model for Implicit Feedback Data. In Proceedings of The 17th International Conference on Web Engineering (ICWE), Rome, Italy. [pdf][bibtex]
  • ThaiBinh Nguyen, Atsuhiro Takasu (2017). A Probabilistic Model for the Cold-Start Problem in Rating Prediction using Click Data. In Proceedings of The 24th International Conference on Neural Information Processing (ICONIP), Guangzhou, China. [pdf][bibtex]
  • ThaiBinh Nguyen, Atsuhiro Takasu (2017). A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data. In Proceedings of The 13th International Conference on Advanced Data Mining and Applications (ADMA), Singapore. [pdf][bibtex]
  • Binh Nguyen, Kenro Aihara, Atsuhiro Takasu (2015). City recommender system based on a latent topic model. In IEICE Technical Report, vol. 115, no. 381, AI2015-42, pp. 95-99, Okinawa, Japan. [pdf]
  • Nguyen, T.B., Ho, T.B., Pham, C., Kawasaki, S. (2007). Matching Complex Documents Using Tolerance Rough Set Model. In Proceedings of The 8th International Symposium on Knowledge and Systems Sciences (KSS07), pp.156-162, Ishikawa, Japan. [pdf]

Reviewer

  • IJCAI 2019, ICDM 2019, RecSys 2019.
  • PAKDD 2018.

Last updated October, 2017 by Binh Nguyen