Kan Ren (任侃)

photo 

Kan Ren, Researcher
Microsoft Research Asia

Office: 43rd Floor, International AI Tower,
No.701 Yunjin Rd., Xuhui District,
Shanghai, China

kan.ren(-AT-)microsoft.com
Google Scholar, GitHubGitHub, CV (Chinese,English)


  • I'm now looking for prospective student interns (preferably more than 3 months) to work together on sequence data modeling, prediction and (sequential) decision optimization with cutting-edge machine learning technologies. Please drop me an email with your resume if you are interested.

Recent News
  • 2021.2 - Latest English article about our AAAI 2021 paper! (MSR Blog)

  • 2021.1 - Latest Chinese article about our quantitative finance research! (WeChat, MSRA news)

  • 2020.12 - One paper about quantitative finance has been accepted in AAAI 2021.

  • 2020.4 - I'll serve as a co-chair for 2nd workshop on Practice of Deep Learning on High-dimensional Sparse Data in KDD 2020.

  • 2020.4 - Two papers about unbiased learning and knowledge graph-enhanced recommendation have been accepted in SIGIR 2020.

  • 2019.10 - One paper about sequential recommendation has been accepted in WSDM 2020 (AC rate: 15%).

  • 2019.7 - I will join Machine Learning Group of Microsoft Research Asia.

  • 2019.4 - One paper has been accepted in Research Track of KDD 2019 as an oral presentation (AC rate oral/total: 9.1/14.1%).

  • 2018.12 - Two papers have been accepted in AAAI 2019 (AC rate: 16.2%).

  • 2018.12 - Our paper “Deep Recurrent Survival Analysis” has been selected as an oral presentation on Jan. 27.

Research

  • Data Mining: Sequence Data Mining, Computational Advertising, Recommender Systems.

  • Machine Learning: Optimization and Survival Analysis.

  • Reinforcement Learning for Sequential Decision Making.

Publications

Selected

Thesis

  • Modeling and Decision Optimization in Real-time Bidding Advertising (Chinese) (PDF)

Topical

Chronological

Academic Service

  • PC member: ICML, NeurIPS, AAAI, SIGIR, etc.

  • Journal Reviewer: JMLR, TKDE, NeuralComputing, etc.

Education