Adams Wei Yu

(Adams) Wei Yu

I am a PHD candidate in Machine Learning Department of SCS at CMU, working on large scale optimization and statistical machine learning, advised by Jaime Carbonell and Alex Smola. I was a Siebel Scholar of Class 2015.

Email: wei(my last name) AT cs DOT cmu DOT edu;
   OR: adams(my last name)wei AT gmail DOT com
Address: GHC 8114, 5000 Forbes Avenue, Pittsburgh, PA 15213.

Recent News

  • Nov 1-4, 2015: Invited talk at INFORMS Annual Meeting 2015, Philadelphia.
  • Aug 23-28, 2015: Attending 3rd Heidelberg Laureate Forum as selected young researcher worldwide in math and cs!
  • Aug 20, 2015: Preprints on two efficient algorithms DSPDC and AdaDelay are available!
  • Aug 14, 2015: Finished my fantastic internship in Machine Learning Group of MSR Redmond!
  • Dec 8-13, 2014: Attending NIPS 2014 in Montreal.
  • Nov, 2014: Attending INFORMS Annual Meeting 2014 in San Francisco.
  • Sep, 2014: One paper accepted to NIPS 2014!
  • Sep, 2014: I am named a Siebel Scholar of Class 2015!
  • Sep, 2014: Attending VLDB 2014 in Hangzhou.
  • Aug, 2014: Our ICML 2014 paper is selected in the finalist of INFORMS Data Mining Best Student Paper Award and will be presented in INFORMS Annual Meeting 2014.
  • Jun, 2014: The code of our ICML 2014 paper is released. Feel free to try!
  • Jun, 2014: Attending ICML 2014 in Beijing.

Selected Industrial Internship

  • 2015.5 -- 2015.8, Research Intern, Machine Learning Group, Microsoft Research Redmond. Mentor: Lin Xiao.
  • 2012.8 -- 2012.11, Research Intern, DMAS Group, Microsoft Research Asia. Mentor: Haixun Wang.


  • "Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data".
    Adams Wei Yu, Qihang Lin, Tianbao Yang.
    Arxiv, Bibtex.
  • "Adadelay: Delay Adaptive Distributed Stochastic Convex Optimization".
    Suvrit Sra, Adams Wei Yu, Mu Li, Alex Smola.
    Arxiv, Bibtex.
Journal and Conference:

  • "Efficient Structured Matrix Rank Minimization".
    Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra.
    In NIPS 2014. Full paper with appendix, Bibtex.
  • "Saddle Points and Accelerated Perceptron Algorithms". (Full oral, INFORMS Data Mining Best Student Paper Finalist)
    Adams Wei Yu, Fatma Kılınç-Karzan, Jaime G. Carbonell.
    In ICML 2014. Full paper with appendix, Bibtex, Code.
  • "Reverse Top-k Search using Random Walk with Restart". (Full oral)
    Adams Wei Yu, Nikos Mamoulis, Hao Su.
    In VLDB 2014. Full paper, Technical report, Bibtex.
  • "Efficient Euclidean Projections onto the Intersection of Norm Balls". (Full oral)
    Adams Wei Yu*, Hao Su*, Li Fei-Fei. (* Indicates equal contribution)
    In ICML 2012. Full paper with appendix, Bibtex.
  • "Risk Assessment and Adaptive Group Testing of Semantic Web Services".
    Xiaoying Bai, Ron S. Kenett, Wei Yu.
    International Journal of Software Engineering and Knowledge Engineering, 22(5): 595-620, 2012. Full paper, Bibtex.
  • "Search by Mobile Image Based on Visual and Spatial Consistency". (Oral, Best Paper Nomination)
    Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang.
    In ICME 2011. Full paper, Bibtex.
  • "Music Identification via Vocabulary Tree with MFCC Peaks." (Oral)
    Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang.
    In Workshop on Music Information Retrieval with User-centered and Multimodal Strategies, ACM Multimedia, Scottsdale, 2011.
    Full paper, Bibtex.
  • "AUDR: An Advanced Unstructured Data Repository." (Oral)
    Xianglong Liu, Bo Lang, Wei Yu, Junwu Luo, Lei Huang.
    In ICPCA 2011. Full paper, Bibtex.

Selected Awards

  • Invited young researcher (only 200 selected worldwide) in Math and CS to attend Heidelberg Laureate Forum, 2015.
  • Siebel scholar (only 85 selected worldwide), class of 2015.
  • INFORMS data mining best student paper finalist, 2014.
  • CMU research fellowship, 2013-2018.
  • HKU postgraduate scholarship for mphil student, 2011-2013.
  • ICME 2011 best paper award nomination, 2011.
  • China national scholarship, twice.