Lucas Vinh Tran

Ph.D. Candidate in Computer Science

Nanyang Technological University (NTU), Singapore

[Google Scholar][Research Gate][Twitter][Github][LinkedIn]

Biography: I am currently a 4th year Ph.D. Candidate in Computer Science from the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU), Singapore, under the supervision of Prof. Gao Cong and Dr. Xiaoli Li. I am also affiliated with the Machine Intellection Department (previously was Data Analytics & Deep Learning 2.0 Department) of Institution for Infocomm Research (I2R), working with Dr. Xiaoli Li and Dr. Guimei Liu. Prior to that, I was graduated with B.Sc. in Mathematical Sciences (Statistics & Business Analytics) from the same university in 2016.

Research Interests: My main research interests include machine learning (deep learning), differentiable generative models and high-dimensional statistics. At present, I am working on representation learning (Euclidean and non-Euclidean representation), especially in the applications of recommender systems (personalized and group recommendation).

Latest News

  • 2019-10-11: One paper was accepted to WSDM 2020
  • 2019-05-15: Awarded A*Star Computing and Information Science Scholarship (ACIS)
  • 2019-05-12: Awarded ACM SIGIR Student Travel Grant
  • 2019-05-10: One paper was accepted to IJCAI 2019
  • 2019-04-14: One paper was accepted to SIGIR 2019
  • 2018-11-01: One paper was accepted to AAAI 2019
  • 2018-10-29: Passed Ph.D Qualification Exam (QE)
  • 2016-06-23: Awarded A*Star Graduate Scholarship (AGS)

Publications

* : equal contribution
  1. HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li. In the 13th ACM International Conference on Web Search and Data Mining (WSDM), 2020. [PDF] (Acceptance rate: 91/615 = 14.80%)
  2. Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li. In the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019. [PDF] (Acceptance rate: 84/426 = 19.72%)
  3. Quaternion Collaborative Filtering for Recommendation. Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang , Yi Tay. In the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. [PDF] (Acceptance rate: 850/4752 = 17.89%)
  4. Holographic Factorization Machines for Recommendation. Yi Tay*, Shuai Zhang*, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Lucas Vinh Tran. In the 33th AAAI Conference on Artificial Intelligence (AAAI), 2019. [PDF] (Acceptance rate: 1150/7095 = 16.21%)

--- Note: Presentation slides are available upon request ---

Work Experience (Selected)

A*STAR - Agency for Science, Technology and Research

Institute for Infocomm Research (I2R) - Machine Intellection Department

Scholar/Researcher, Singapore, Aug. 2016 - Present

Nanyang Technological University

Data Management and Analytics Lab (DMAL)

Ph.D. Candidate/Researcher, Singapore, Aug. 2016 - Present

Facebook

APAC Global Gaming

Gaming Data Analyst, Singapore, May. 2015 - Aug. 2015

Education

Nanyang Technological University

School of Computer Science and Engineering (SCSE)

Ph.D. in Computer Science, Singapore, Aug. 2016 - Present

Nanyang Technological University

School of Physical and Mathematical Sciences (SPMS)

B.Sc. in Mathematical Sciences, Singapore, Aug. 2012 - May. 2016

Professional Services

Conference Talks:

  • HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems, WSDM'20, Texas, Feb. 2020
  • Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation, SIGIR'19, Paris, Jul. 2019

External Reviewer:

  • Conference: NeurIPS, KDD, WWW, WSDM, AAAI, IJCAI, ICDE, CIKM, ICDM, SIGSPATIAL
  • Journal: TKDE

Consultant:

  • Predict land acquisition on Decentralized market for LAND

Honours & Awards

  • ACM SIGIR 2019 Student Travel Grant
  • A*Star Computing and Information Science Scholarship (ACIS)
  • A*Star Graduate Scholarship (AGS)

Collaborators

Miscellaneous

  • Comprehensive reading lists for new ML/DL research students [Link]
  • CS Conference Ranking List [Link 1][Link 2]
  • Deep Learning based Recommender System: A Survey and New Perspectives [Link]
  • Libraries for deep learning based recommendation models [Link 1][Link 2][Link 3][Link 4][Link 5]
  • Benchmark Public Datasets for Recommender Systems [Link 1][Link 2]

Contact

  • Address: Data Management and Analytics Lab (DMAL), N4-B3c-14, School of Computer Science and Engineering, Nanyang Technological University, Singapore
  • Email: A@B, where A=lucasvinhtran and B=gmail.com