Adams Wei Yu

Adams Wei Yu

My name is Adams Wei Yu. I am a graduate student in School of Computer Science at Carnegie Mellon University, supervised by Professor Jaime Carbonell. I am fortunate enough to be supported by Siebel Scholarship and CMU Research Fellowship. Before that, I was an mphil student in Department of Computer Science at The University of Hong Kong, and supervised by Professor Nikos Mamoulis. I obtained my BSc degree in Mathematics and Applied Mathematics from Beihang University (formerly BUAA).

Email: wei(my last name) AT cs DOT cmu DOT edu; adams(my last name)wei AT gmail DOT com
Address: GHC 5508, 5000 Forbes Avenue, Pittsburgh, PA 15213.

Research Interests

  • Methodology: Statistical Machine Learning, Optimization Algorithms, Graph Query and Analysis.
  • Application: Social Network Analysis, Web Search and Data Mining.

Recent News

  • 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.


  • Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, Suvrit Sra.
    Efficient Structured Matrix Rank Minimization. (To appear)
    [NIPS 2014]   In Proceedings of 28st Neural Information Processing Systems Conference, Montreal, 2014.
  • Adams Wei Yu, Fatma Kılınç-Karzan, Jaime G. Carbonell.
    Saddle Points and Accelerated Perceptron Algorithms. (Full oral, INFORMS Data Mining Best Student Paper Finalist)
    [ICML 2014]   In Proceedings of 31st International Conference on Machine Learning, Beijing, 2014.
    Full paper, Appendix, Bibtex, Code.
  • Adams Wei Yu, Nikos Mamoulis, Hao Su.
    Reverse Top-k Search using Random Walk with Restart. (Full oral)
    [VLDB 2014]   In Proceedings of the VLDB Endowment (PVLDB), 7(5): 401-412, January 2014.
    Full paper, Technical report, Bibtex.
  • Adams Wei Yu*, Hao Su*, Li Fei-Fei. (* Indicates equal contribution)
    Efficient Euclidean Projections onto the Intersection of Norm Balls. (Full oral)
    [ICML 2012In Proceedings of 29th International Conference on Machine Learning, Edinburgh, 2012.
    Full paper, Appendix, Bibtex.
  • Xiaoying Bai, Ron S. Kenett, Wei Yu.
    Risk Assessment and Adaptive Group Testing of Semantic Web Services.
    International Journal of Software Engineering and Knowledge Engineering, 22(5): 595-620, 2012.
    Full paper, Bibtex.
  • Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang.
    Search by Mobile Image Based on Visual and Spatial Consistency. (Oral, Best Paper Nomination)
    [ICME 2011In Proceedings of IEEE International Conference on Multimedia and Expo, Barcelona, 2011.
    Full paper, Bibtex.
  • Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang.
    Music Identification via Vocabulary Tree with MFCC Peaks. (Oral)
    In Workshop on Music Information Retrieval with User-centered and Multimodal Strategies, ACM Multimedia, Scottsdale, 2011.
    Full paper, Bibtex.
  • Xianglong Liu, Bo Lang, Wei Yu, Junwu Luo, Lei Huang.
    AUDR: An Advanced Unstructured Data Repository. (Oral)
    In Proceedings of 6th International Conference on Pervasive Computing and Applications, Port Elizabeth, 2011.
    Full paper, Bibtex,

R&D Experience

Selected Awards

  • Scholarship:
    • Siebel Scholarship, 2014-2015.
    • CMU LTI Research Fellowship, 2013-present.
    • ICML 2012 Student Scholarship, 2012.
    • HKU Postgraduate Scholarship, 2011-2013.
    • China National Scholarship, 2007, 2008.
    • BUAA First Class Scholarship for Contest Excellence, 2008.
    • BUAA First Class Scholarship for Star in Science and Technology, 2008.
    • BUAA First Class Scholarship for Academic Excellence, 2006, 2007.
    • BUAA Second Class Scholarship for Excellent Freshman, 2005.
  • Contest:
    • Meritorious Winner in The Mathematical Contest in Modeling, 2008.
    • Second Class Prize in China Undergraduate Mathematical Contest in Modeling, 2008.
    • First Class Prize in China Undergraduate Mathematical Contest in Modeling, Beijing, 2007.
    • Third Class Prize in National Undergraduate Contest in Physics, 2006.
    • First Class Prize in the 18th Feng Ru Contest(the highest tier contest in BUAA), 2008.
  • Honor:
    • INFORMS Data Mining Best Student Paper Finalist, 2014.
    • ICME 2011 Best Paper Award Nomination, 2011.
    • Outstanding Undergraduate Student in BUAA, 2009.
    • Outstanding Student in BUAA, 2005-2007.
    • Outstanding Freshman in BUAA, 2005.

Teaching Experience

  • Spring 2012, Teaching Assistant, Computer and Communication Networks (CSIS0234A), The University of Hong Kong.
  • Spring 2013, Teaching Assistant, Data Mining (COMP7103), The University of Hong Kong.