Xiaojian Wu (吴箫剑)








Email:
xiaojian@cornell.edu

Publications

  • XOR-Sampling for Network Design with Correlated Stochastic Events
    X. Wu*, Y. Xue*, B. Selman, C. Gomes, Proceedings of the Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Australia, 2017.
  • Stochastic Network Design: Models and Scalable Algorithms
    X. Wu, Ph.D. thesis, University of Massachusetts Amherst, 2017.
  • Robust Optimization for Tree-Structured Stochastic Network Design
    X. Wu, A. Kumar, D. Sheldon, and S. Zilberstein, Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17), San Francisco, California, 2017.
    Best Paper Award, Computational Sustainability Track
  • Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information.
    Y. Xue, X. Wu, D. Morin, B. Dilkina, A. Fuller, J. Royle, and C. Gomes, Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17), San Francisco, California, 2017. [supplementary materials]
  • Optimizing Resilience in Large Scale Networks
    X. Wu, D. Sheldon, and S. Zilberstein, Proceedings of the Thirtieth Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, 2016.
  • Efficient Algorithms to Optimize Diffusion Processes under the Independent Cascade Model
    X. Wu, D. Sheldon, and S. Zilberstein, NIPS Workshop on Networks in the Social and Information Sciences, 2015.
  • Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage
    M. Petrik, X. Wu, Proceedings of the 31th Conference on Uncertainty in Artificial Intelligence (UAI-15), Amsterdam, Netherlands, 2015.
  • Approximate Algorithms for Stochastic Network Design
    X. Wu, IJCAI Doctoral Consortium 2015
  • Fast Combinatorial Algorithm for Optimizing the Spread of Cascades
    X. Wu, D. Sheldon, and S. Zilberstein, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, 2015.
  • Stochastic Network Design in Bidirected Trees
    X. Wu, D. Sheldon, and S. Zilberstein, Proceedings of the Twenty-Eighth Neural Information Processing Systems Conference (NIPS-14), Montreal, Canada, 2014.
  • Optimizing and Learning Diffusion Behaviors in Complex Network
    X. Wu, AAAI Doctoral Consortium 2014
  • Rounded Dynamic Programming for Tree-Structured Stochastic Network Design
    X. Wu, D. Sheldon, and S. Zilberstein, Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI-14), 479-485, Quebec City, Canada 2014.
  • Stochastic Network Design for River Networks
    X. Wu, D. Sheldon, and S. Zilberstein, NIPS Workshop on Machine Learning for Sustainability, 2013.
  • Parameter Learning for Latent Network Diffusion
    X. Wu, A. Kumar, D. Sheldon, and S. Zilberstein, Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-13), 2923-2930, Beijing, China, 2013.
  • Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning
    A. Kumar, X. Wu and S. Zilberstein, Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), 309-315, Toronto, Canada, 2012.
  • Influence Diagrams with Memory States: Representation and Algorithms
    X. Wu, A. Kumar, and S. Zilberstein. Proceedings of the Second International Conference on Algorithmic Decision Theory (ADT-11), Rutgers University, 2011.
  • Learning Optimal Bayesian Networks Using A* Search
    C. Yuan, B. Malone and X. Wu. 22nd International Joint Conference on Artificial Intelligence (IJCAI-11). Barcelona, Catalonia, Spain, July 2011.
  • Solving Multistage Influence Diagrams Using Branch-and-Bound Search
    C. Yuan, X. Wu, E. Hansen, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI-10). July 8-11, 2010. Catalina Island, CA.
  • Solving Influence Diagrams Using Heuristic Search
    C. Yuan, X. Wu. Proceedings of the Eleventh International Symposium on Artificial Intelligence and Mathematics (ISAIM-10). January 6-8, 2010. Ft Lauderdale, FL.
  • A Bayesian Approach for Motivational Diagnosis in Computer-Supported Collaborative Learning Environment
    C. Yuan, K. Xie, X. Wu. Proceedings of the International Symposium on Knowledge Acquisition and Modeling (KAM 2008).