Hi. I'm Keqian Li.

Vancouver

University of British Columbia

Keqian Li is a Ph.D. student working in the area of deep learning and natural language processing, after some previous years at Zenefits, Facebook, Microsoft Research, Google, University of British Columbia, Tsinghua University. His advisor is Professor Xifeng Yan,

CAREER EXPERIENCE

Norway

Zenefits

May 2016 - Aug. 2016

Startup full stack development

Norway

Facebook Inc.

Sep. 2015 - Dec. 2015

Ads infrastructure

Norway

Microsoft Research, Redmond

Jun. 2015 - Sep. 2015

Data mining and management

Norway

Google Inc.

May 2014 - Aug. 2014

Large scale machine learning for product recommendation

EDUCATION

Norway

University of California, Santa Barbara

Sep. 2016 - Sept. 2019

Ph.D., Computer Science, deep learning

Norway

University of British Columbia

Sep. 2013 - May. 2016

M.Sc., Computer Science, Data Mining

Norway

Tsinghua University

Sep. 2009 - June. 2013

B.Sc, Pilot Class of Computer Science (Yao Class)

Norway

Tsinghua University

Sep. 2009 - June. 2013

B.A., Economy

PUBLICATION

  • Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, and Xifeng Yan. "HierCon: Hierarchical Organization of Technical Documents based on Concepts." In Proceedings of the 2019 IEEE International Conference on Data Mining(ICDM'19), 2019. (acceptance rate: 9.08%) [Paper] [Poster]

  • Hanwen Zha, Wenhu Chen, Keqian Li Xifeng Yan. "Mining Algorithm Roadmap in Scientific Publications." In Proceedings of the 25th ACM SIGKDD international conference on Knowledge discovery and data mining(KDD'19) , 2019. [Paper] [Poster]

  • Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan. "Concept Mining via Embedding." In Proceedings of the 2018 IEEE International Conference on Data Mining(ICDM'18), 2018. (acceptance rate: 8.86%) [Paper] [Poster]

  • Keqian Li, Ping Zhang, Honglei Liu, Hanwen Zha, Xifeng Yan. "PoQaa: Text Mining and Knowledge Sharing for Scientific Publications." In Proceedings of the 24th ACM SIGKDD international conference on Knowledge discovery and data mining(KDD'18), 2018. (demo) [Paper] [Posters] [Video]

  • Hanwen Zha, Jiaming Shen, Keqian Li, Warren Greiff, Michelle Vanni, Jiawei Han and Xifeng Yan, "FTS: Faceted Taxonomy Construction and Search for Scientific Publications", In Proceedings of the 24th ACM SIGKDD international conference on Knowledge discovery and data mining(KDD'18), 2018. (demo) [System] [Paper]

  • Keqian Li, Hanwen Zha, Yu Su, and Xifeng Yan. "Unsupervised Neural Categorization for Scientific Publications." In Proceedings of the 2018 SIAM International Conference on Data Mining(SDM'18), pp. 37-45. Society for Industrial and Applied Mathematics, 2018. [Paper] [Posters] [Supplementary]

  • Keqian Li, Yeye He, and Kris Ganjam. Discovering Enterprise Concepts Using Spreadsheet Tables. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), pp. 1873-1882. ACM, 2017. [Paper] 

  • Keqian Li. On Integrating Information Visualization Techniques into Data Mining: A Review[J]", Computer Science, 2015. [Paper] 

  • Keqian Li, Wei Lu, Smriti Baghat, Laks Lakshmanan, Cong Yu. "On Social Event Organization", Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD'14) ACM, New York, NY, USA, 1206-1215. [Paper] [Slides] [Posters] [Video] [Citations]

  • Wei Lu, Shanshan Chen, Keqian Li, Laks Lakshmanan. "Show Me the Money:Dynamic Revenue-Maximizing Recommendations",  Proceedings of the VLDB Endowment 7.14 (2014) [Paper] [Slides] [Citations]

CONTACT

Harold Frank Hall 2204
University of California
Santa Babara, California, US
Email:klee@engineering.ucsb.edu

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