Portrait of Linjun Shou (寿林钧)

Linjun Shou (寿林钧)

Senior Applied Scientist Manager, Microsoft STCA NLP Group

About

Linjun Shou (寿林钧) is a Senior Applied Scientist Manager in STCA NLP Group, Microsoft, focusing on Question Answering, Document Understanding, Recommendation areas. His research interests include Question Answering, Cross Lingual Models, Pre-trained models, Recommendation, etc.

We are hiring Scientists, engineers, and interns! If you have strong publications and experiences in above areas and are willing to work in Microsoft Beijing or Suzhou, feel free to shoot me your resume (lisho@microsoft.com).

Highlights:

  • 2021-05-18: 1 long paper and 1 tutorial accepted by KDD 2021.
  • 2021-05-05: 4 long papers accepted by ACL / Findings of ACL 2021.
  • 2021-04-10:  Universal topic model work is shipped in Windows release – News and Interests on Windows task bar in global 50+ regions. (blog, media, video)
  • 2021-03-05: Long document machine reading comprehension model shipped in Azure Semantic Search (service, blog, video).
  • 2021-02-01: 1 long paper accepted by ICASSP 2021.
  • 2020-12-24: Lecture tutorial accepted  (link) by TheWebConf 2021 about Language Scaling.
  • 2020-12-02: 1 long paper accepted by AAAI 2021.
  • 2020-11-27: GLGE (github): a benchmark dataset for natural language generation is released.
  • 2020-10-16: 1 long paper accepted by WSDM 2020.
  • 2020-10-01: Bing Blog (link) about Universal QnA is published.
  • 2020-09-30: CodeXGLUE (github, blog, blog_zh) is released for code intelligence research.
  • 2020-09-30: 2 long papers accepted by COLING 2020.
  • 2020-09-16: 4 long papers accepted by EMNLP / Findings of EMNLP 2020.
  • 2020-07-04: Bing Cross-Lingual QA in 100 Languages: Cross lingual models powered Bing QnA has been shipped to 100+ languages and 200+ regions in total, serving millions of users on Bing.com. Example cases: Greek {γιατί το χρώμα του ουρανού είναι μπλε}, Turkish {beyoğlu gezilecek yerler}, Frisian {wat is winteroarloch}, Arabic {افضل الزيوت لنمو الشعر}, Russian {как сбросить хонор до заводских настроек}, Telugu { నేరేడు పండు తినడం వల్ల కలిగే ప్రయోజనాలు}.
  • 2020-06-03: The Promotion Video of our KDD 2020 paper: Mining Implicit Relevance Feedback from User Behavior for Web Question Answering.
  • 2020-06-02: Unicoder Model (code) is open sourced – SOTA cross lingual pretrained model.
  • 2020-05-28: XGLUE Leaderboard (link) is online now.
  • 2020-05-01: Bing Cross-Lingual QA: Cross lingual models powered Bing QnA has been shipped to 28+ markets/regions in total covering five continents (America, Africa, Asia, Europe, and Australia), serving millions of users on Bing.com.
  • 2020-04-03: XGLUE (paper) is a new benchmark dataset for cross-lingual pre-training, understanding and generation.
  • 2020-02-19: CodeBERT (paper) is an code-language pre-trained model, which achieves SOTA results on Code Retrieval and Code Generation tasks.
  • 2020-02-10:  ReflectionNet achieves SOTA result on on the Natural Question Leaderboard.
  • 2019-07-19: Unicoder (paper) is a cross-lingual pre-trained model, which achieves SOTA results on XNLI and Cross-lingual QA tasks.
  • 2019-04-20: NeuronBlocks (paper, code) is open sourced on Github.