Yun He




Howdy! I am a member of the infolab led by Prof. James Caverlee in the Computer Science & Engineering Department at Texas A&M University. I'm broadly interested in the area of data mining, information retrieval and recommender systems. Specifically, my research focuses on user generated lists recommendation and alleviating the data sparsity problem on recommendation.

Previously, I was at the ICA lab in the School of Computer Science and Software Engineering at East China Normal University and worked with Prof. Qinmin Hu. I obtained my Bachelor's degree from Donghua University.

Publications

See also my Google Scholar profile.

  • Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. (acceptance rate: 20%) [pdf] [code]
    IEEE International Conference on Data Mining (ICDM 2018).
    Yun He, Haochen Chen, Ziwei Zhu and James Caverlee.

  • Estimating Probability Density of Content Types for Promoting Medical Records Search. (acceptance rate: 21%)
    European Conference on Information Retrieval (ECIR 2016).
    Yun He, Qinmin Hu, Yang Song and Liang He.

  • ECNU at 2016 eHealth Task 1: Handover Information Extraction.(Working Notes) [pdf]
    Conference and Labs of the Evaluation Forum (CLEF 2016).
    Yang Song, Yun He, Hongyu Liu, Qinmin Hu, Liang He, Yueyao Wang.

  • ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval. (Working Notes) [pdf]
    Conference and Labs of the Evaluation Forum (CLEF 2016).
    Yang Song, Yun He, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He and Guihua Luo.

  • ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval. (Working Notes) [pdf]
    Text Retrieval Conference (TREC 2016).
    Hongyu Liu, Yang Song, Yun He, Yueyao Wang, Qinmin Hu, Liang He.

  • ECNU at 2015 CDS track: two re-ranking methods in medical information retrieval. (Working Notes) [pdf]
    Text Retrieval Conference (TREC 2015).
    1st place in Clinical Decision Support Track (Task B)
    Yang Song, Yun He, Qinmin Hu, Liang He.

  • ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval. (Working Notes) [pdf]
    Conference and Labs of the Evaluation Forum (CLEF 2015).
    1st place in CLEF eHealth (Task2)
    Yang Song, Yun He, Qinmin Hu, Liang He, E Mark Haacke.

  • ECNU at TREC 2014: Clinical decision support track. (Working Notes)
    Text Retrieval Conference (TREC 2014).
    Mingyao Li, Yang Song, Yun He, Qinmin Hu, Liang He, E Mark Haacke.

Industry Experience

  • Software engineering intern, Enterprise Data Services (EDS) team, Cisco, Shanghai, China, May 2016 - July 2016.
    Area: Information Retrieval
    Project: Searching for Duplicate Registrations of Customers.

Teaching

Technical Talks

  • Location-Sensitive User Profiling Using Crowdsourced Labels. AAAI, New Orleans, USA, 2018. (On behalf of Wei Niu, James Caverlee and Haokai Lu)
  • Estimating Probability Density of Content Types for Promoting Medical Records Search. ECIR, Italy, 2016.

Professional Services

  • External Reviewer: WWW'(18)

Awards

  • ECIR Student Travel Award, 2016
  • National Scholarship for Graduate Student, 2016
  • National Second Prize in China Graduate Mathematical Modeling Contest, 2014
  • Honorable Mention in International Interdisciplinary Contest in Modeling, 2013
  • National Second Prize in National College Mathematical Contest in Modeling

Personal

  • A new driver.
  • A new husband (Married in 2018).
  • A big fan of badminton, football and histroy.