Back to Henry B. Tippie College Directory Homepage

Qihang  Lin

Qihang Lin Management Sciences

Assistant Professor
319-335-0988
qihang-lin@uiowa.edu
S380  Pappajohn Business Building
The University of Iowa, Iowa City, IA 52242-1994

Academic History

  • PhD in Operations Research, Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, 2013
  • BS in Mathematical Science, Tsinghua University, Beijing, China, 2008

Expertise

  • Algorithmic Crowdsourcing
  • Convex Optimization
  • Machine Learning
  • Stochastic Optimization

Awards

  • Best Student Paper Award , Financial Service Section of INFORMS, 2012

Selected Publications

Working Papers

Conference Proceedings

        Prior Positions

        • Research Intern, Machine Learning Department, Microsoft Research, Redmond, WA, May 2012 - August 2012
        • Research Intern, Machine Learning Department, Microsoft Research, Bejing, China, October 2007 - February 2008

        Review and Editorial Work

        • Referee, Neural Computation, January 2015 - current
        • Referee, ACM Transactions on Intelligent Systems and Technology, December 2014 - current
        • Referee, Information Systems Research, September 2014 - current
        • Referee, Computational Optimization and Applications, May 2014 - current
        • Referee, IEEE Transactions on Pattern Analysis and Machine Intelligence, May 2014 - current
        • Referee, Operations Research, March 2013 - current
        • Referee, SIAM Journal on Optimization, May 2012 - current

          Presentations

          • An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization, INFORMS Annual Meeting, INFORMS, San Francisco, CA, USA, November 2014
          • An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization, The 14th Annual MOPTA, Lehigh University, Bethlehem, PA, USA, August 2014
          • Accelerated Proximal-Gradient Homotopy Method for the Sparse Least-Squares, International Conference of Machine Learning, Beijing, China, July 2014
          • Accelerated Proximal-Gradient Homotopy Method for the Sparse Least-Squares, SIAM Conference on Optimization, SIAM, San Diego, CA, May 2014
          • Optimal Trade Execution with Coherent Dynamic Risk Measures using Limit Orders, American Mathematical Society Sectional Meetings, American Mathematical Society, Albuquerque, NM, April 2014
          • Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing, Seminar: AMCS, The Applied Mathematical and Computational Sciences program, The University of Iowa, Iowa City, IA, February 2014
          • Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing, Seminar of Computer Science Department, Computer Science Department, The University of Iowa, Iowa City, IA, November 2013
          • Optimal Trade Execution with Coherent Dynamic Risk Measures using Limit Orders, INFORMS Annual Meeting, INFORMS, Minneapolis, MN, USA, October 2013
          • Optimal Trade Execution with Coherent Dynamic Risk Measures using Limit Orders, The 5th Annual Modeling High Frequency Data in Finance Conference, Stevens Institute of Technology, Hoboken, NJ, October 2013
          • Optimistic Knowledge Gradient Policy for Budget Allocation in Crowdsourcing, International Conference of Machine Learning, Atlanta, GA, USA, June 2013
          • Optimization for Big Data Analysis: Complexity and Scalability, Tippie College of Business, University of Iowa, Iowa City, IA, USA, February 2013
          • Optimistic Knowledge Gradient Policy for Budget Allocation in Crowdsourcing, INFORMS Computing Society Conference, INFORMS, Santa Fe, NM, USA, January 2013
          • Accelerated Proximal-Gradient Homotopy Method for the Sparse Least-Squares, INFORMS Annual Meeting, INFORMS, Phoenix, AZ, USA, October 2012
          • Optimal Trade Execution with Coherent Dynamic Risk Measures, INFORMS Annual Meeting, INFORMS, Phoenix, AZ, USA, October 2012
          • Accelerated Proximal-Gradient Homotopy Method for the Sparse Least-Squares, Microsoft Research, Redmond, WA, USA, August 2012
          • Optimal Trade Execution with Coherent Dynamic Risk Measures, The 12th Annual MOPTA, Lehigh University, Bethlehem, PA, USA, August 2012
          • Optimal Trade Execution with Coherent Dynamic Risk Measures, 21st International Symposium on Mathematical Programming (ISMP 2012), Mathematical Optimization Society, Berlin, Germany, August 2012
          • Optimal Trade Execution with Coherent Dynamic Risk Measures, SIAM Conference on Financial Mathematics and Engineering , SIAM, Minneapolis, MN, USA, July 2012
          • A Sparsity Preserving Stochastic Gradient Method for Composite Optimization, INFORMS Annual Meeting, INFORMS, Charlotte, NC, USA, November 2011
          • Optimal Trade Execution with Coherent Dynamic Risk Measures, Industrial-Academic Workshop on Optimization in Finance and Risk Management, Fields Institute, Toronto, Canada, October 2011
          • A Sparsity Preserving Stochastic Gradient Method for Composite Optimization, The 11th Annual MOPTA, Lehigh University, Bethlehem, PA, USA, August 2011
          • A Sparsity Preserving Stochastic Gradient Method for Composite Optimization, SIAM Conference on Optimization, SIAM, Darmstadt, Germany, May 2011

          Committees and Professional Service

          • Organization Committee of Master Program in Business Analytics, 2014-current
          • Faculty Search Committee, 2015
          • Co-Organizer of ICML ’13 Workshop: Machine Learning Meets Crowdsourcing, 2013