Yi Wu

Contact

Computer Science Dept., Purdue University
LWSN 1269
Tel: 765-496-2763
Email: wuyi at purdue dot edu

I am an assistant professor in the theory group at the computer science department of Purdue University. Prior to Purdue, I was a postdoc at IBM Almaden Research and before that I graduated from the computer science department at Carnegie Mellon University. My Ph.D. thesis The Approximability of Learning and Constraint Satisfaction Problems received the CMU SCS Distinguished Dissertation Award. I got my bachelor degree from the computer science department of Tsinghua University.


Research Publications

  • Membership Privacy: A Unifying Framework For Privacy Definitions
    Ninghui Li, Wahbeh Qardaji, Dong Su, Y. Wu, Weining Yang,
    The ACM Conference on Computer and Communications Security (CCS), 2013

  • A Lower-Variance Randomized Algorithm for Approximate String Matching (pdf)
    Mike Atallah, Elena Grigorescu, Y. Wu
    Information Processing Letters, 2013

  • Lovasz versus Local Distribution: the Approximability of Multiway Partition Problem(pdf)
    Alina Ene, Jan Vondrak, Y. Wu
    Symposium on Discrete Algorithms (SODA), 2013

  • On the hardness of pricing loss leaders (pdf)
    P. Popat, Y. Wu
    Symposium on Discrete Algorithms (SODA), 2012

  • Bypassing UGC from some optimal geometric inapproximability results (pdf)
    V. Guruswami, P. Raghavendra, R. Saket, Y. Wu,
    Symposium on Discrete Algorithms (SODA), 2012
    Invited to Transaction on Algorithms

  • Hardness of Max-2Lin and Max-3Lin over integers, reals, and large cyclic groups (pdf )
    R. O'Donnell, Y. Wu, Y. Zhou.
    IEEE Conference on Computational Complexity (CCC), 2011

  • Pricing Loss Leaders can be hard (pdf )
    Y. Wu.
    Journal of Computer Science and Technology, July 2012, Volume 27, Issue 4, pp 718-726
    Conference version: Innovations in Theoretical Computer Science (ITCS), 2011

  • Optimal lower bounds for locality sensitive hashing (except when q is tiny) (pdf)
    R. O'Donnell, Y. Wu, Y. Zhou.
    Innovations in Theoretical Computer Science (ITCS), 2011

  • Hardness Results of learning Low-Degree Polynomial Threshold Functions (pdf )
    I. Diakonikolas, R. O'Donnell, R. Servedio, Y. Wu
    Symposium on Discrete Algorithms (SODA), 2011

  • SDP gaps for 2-to-1 and other Label-Cover variants (pdf )
    V. Guruswami, S. Khot, R. O'Donnell, P. Popat, M. Tulsiani, Y. Wu.
    International Colloquium on Automata, Languages and Programming (ICALP), 2010

  • Fooling functions of halfspaces under product distributions (pdf)
    P. Gopalan, R. O'Donnell, Y. Wu, D. Zuckerman.
    IEEE Conference on Computational Complexity (CCC), 2010

  • Agnostic learning of monomials by halfspaces is hard (pdf )
    V. Feldman, V. Guruswami, P. Raghavendra, Y. Wu
    SIAM J. Comput. 41(6): 1558-1590 (2012)
    Conference version: Symposium on Foundations of Computer Science (FOCS), 2009

  • Conditional hardness for satisfiable 3CSPs (pdf)
    R. O'Donnell, Y. Wu
    Symposium on Theory of Computing (STOC), 2009

  • 3-Bit Dictator testing: 1 vs. 5/8 (pdf )
    R. O'Donnell, Y. Wu
    Symposium on Discrete Algorithms (SODA), 2009

  • An optimal SDP algorithm for Max-Cut, and equally optimal Long Code tests (pdf )
    R. O'Donnell, Y.Wu
    Symposium on Theory of Computing (STOC), 2008

  • Data Selection for Speech Recognition (pdf )
    Y. Wu, R. Zhang, A. Rudnicky
    IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2007
 

Teaching

Talks 

  • The approximability of Mutliway Partition Problem (pptx)
    • Workshop on approximation and hardness of approximation, BIRS, 2011
    • IBM Almaden Theory Seminar, 2012
    • U Chicago Theory Seminar, 2012

  • Bypassing the Unique Games Conjecture for geometric problems (pptx)
    • Symposium on Discrete Algorithms (SODA), 2012

  • On the hardness of pricing loss leaders (pptx)
    • Workshop on approximability of CSPs, Fields Institute
    • Symposium on Discrete Algorithms (SODA), 2012

  • Hardness Results of Agnostic learning low degree PTFs (pptx)
    • Symposium on Discrete Algorithms (SODA), 2011

  • Hardness Results of Max 3Lin and Max 2Lin
    • East China Normal University Theory Seminar

  • Pricing Loss Leaders can be hard
    • Innovations in Theoretical Computer Science (ITCS), 2011

  • Approximability of NP-hard Problems (pptx)
    • IBM Almaden Theory Seminar
    • Gatech Theory Seminar
    • Toronto University Theory Seminar

  • Agnostic learning of monomials by halfspaces is hard (pptx)
    • CMU Theory Lunch
    • China Theory Week 2009
    • Symposium on Foundations of Computer Science (FOCS), 2009
    • 2nd Eastern Great Lakes Theory Talk
    • Microsoft Research SVC

  • Fooling functions of halfspaces under product distributions (pptx)
    • Microsoft Research SVC
    • IEEE Conference on Computational Complexity (CCC), 2010

  • Conditional Hardness of Satisfiable 3-CSPs (pdf)
    • CMU Theory Lunch
    • Symposium on Theory of Computing (Symposium on Theory of Computing (STOC),), 2009

  • 3-Bit Dicator testing: 1 vs. 5/8 (pdf)
    • Symposium on Discrete Algorithms (SODA), 2009

  • An optimal SDP algorithm for Max-Cut, and equally optimal Long Code tests (pdf)
    • CMU Theory Lunch
    • IBM Research T.J. Watson
    • Fudan University Theory Seminar
    • Symposium on Theory of Computing (Symposium on Theory of Computing (STOC),), 2008

  • Less is more (ppt)
    • CMU Sphinx Speech Seminar
    • IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2007