Yin Lou

I am a machine learning researcher in the bay area. I received Ph.D. in Computer Science from Cornell University in May 2014. I am interested in data mining, machine learning, and artificial intelligence.

Education

  • Cornell University, Ithaca, NY, USA
    • Ph.D., Department of Computer Science
    2014
  • Fudan University, Shanghai, China
    • B.Sc., School of Computer Science
    2009
  • Hong Kong University of Science and Technology, Hong Kong, China
    • Visiting Student, Department of Computer Science and Engineering
    2007

Recent Papers

  • On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications
    Chengyao Wen and Yin Lou.
    KDD'24, Barcelona, Spain. [PDF][BibTex]
  • FeatureLTE: Learning to Estimate Feature Importance
    Tianping Zhang, Zhaoyang Wang, Chen Qian, Jian Li, and Yin Lou.
    PACMMOD 2(3), 2024. [PDF][BibTex]
  • Fanglue: An Interactive System for Decision Rule Crafting
    Chen Qian, Shiwei Liang, Zhaoyang Wang, and Yin Lou.
    PVLDB 16(12), 2023. [PDF][BibTex]
  • Feature Augmentation with Reinforcement Learning
    Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, and Nan Tang.
    ICDE'22, Virtual Event, Kuala Lumpur, Malaysia. [PDF][BibTex]
  • Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data
    Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou and Rich Caruana.
    XKDD'21, Virtual Event, Bilbao, Spain. [PDF][BibTex]
  • Efficiently Training Intelligible Models for Global Explanations
    Yin Lou, Yongliang Wang, Shiwei Liang, and Yang Dong.
    CIKM'20, Virtual Event, Ireland. [PDF][BibTex]
  • Axiomatic Interpretability for Multiclass Additive Models
    Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, and Rich Caruana.
    KDD'19, Anchorage, AK, USA. [PDF][BibTex]
  • Generating Data Series Workloads
    Kostas Zoumpatianos, Yin Lou, Ioana Ileana, Themis Palpanas, and Johannes Gehrke.
    VLDBJ 27(6), 2018. [PDF][BibTex]
  • Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
    Sarah Tan, Rich Caruana, Giles Hooker, and Yin Lou.
    AIES'18, New Orleans, LA, USA. [PDF][BibTex]
  • BDT: Boosting Decision Tables for High Accuracy and Scoring Efficiency
    Yin Lou and Mikhail Obukhov.
    KDD'17, Halifax, Nova Scotia, Canada. [PDF][Doc][BibTex]
  • Sparse Partially Linear Additive Models
    Yin Lou, Jacob Bien, Rich Caruana, and Johannes Gehrke.
    JCGS 25(4), 2016. [PDF][BibTex]
  • Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
    Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noémie Elhadad.
    KDD'15, Sydney, Australia. [PDF][BibTex]
  • Query Workloads for Data Series Indexes
    Kostas Zoumpatianos, Yin Lou, Themis Palpanas, and Johannes Gehrke.
    KDD'15, Sydney, Australia. [PDF][BibTex]
  • Intelligible Models: Recovering Low Dimensional Additive Structure for Machine Learning Models
    Yin Lou.
    Ph.D. Thesis, Cornell University, 2014.
  • Accurate Intelligible Models with Pairwise Interactions
    Yin Lou, Rich Caruana, Johannes Gehrke, and Giles Hooker.
    KDD'13, Chicago, IL, USA. [PDF][Doc][BibTex]
  • MatchMiner: Efficient Spanning Structure Mining in Large Image Collections
    Yin Lou, Noah Snavely, and Johannes Gehrke.
    ECCV'12, Florence, Italy. [PDF][Website][BibTex]
  • Intelligible Models for Classification and Regression
    Yin Lou, Rich Caruana, and Johannes Gehrke.
    KDD'12, Beijing, China. [PDF][Slides][Doc][BibTex]

Software

  • MLTK
    • A machine learning tool kit with various algorithms for supervised learning.

Work History

  • Ant Group, Sunnyvale, CA
    • Staff Algorithm Engineer
    Auguest 2018 -
  • Airbnb, San Francisco, CA
    • Software Engineer, Machine Learning
    April 2016 - August 2018
  • LinkedIn, Mountain View, CA
    • Senior Data Scientist
    June 2014 - April 2016
  • LinkedIn, Mountain View, CA
    • Data Scientist Intern
    May 2013 - August 2013
  • Microsoft Research/Bing, Bellevue, WA
    • Research Intern
    May 2012 - August 2012
  • Microsoft Research, Redmond, WA
    • Research Intern
    May 2011 - August 2011
  • Microsoft Research Asia, Beijing, China
    • Research Intern
    January 2009 - May 2009

Awards

  • AMiner AI 2000 Most Influential Scholar in Data Mining, Honorable Mention, 2022
  • ACM SIGSPATIAL 10-Year Impact Award, 2019
  • Capital One Statistics Modeling Competition, Finalist, 2012
  • Stars of Tomorrow, Microsoft Research Asia, 2009
  • Excellent Graduate of Shanghai, 2009
  • Excellent Undergraduate Scholarship, 1st Prize, 2009
  • Wangdao Scholar, 2008
  • Chiang Chen Overseas Graduate Fellowship (10 recipients in China), 2008
  • Chinese National Scholarship, 2007 - 2008
  • Dean's List, Hong Kong University of Science and Technology, 2007
  • China HP Excellent Student Scholarship, 2007
  • Tung Orient Overseas Container Line Scholarship, 2006