- H. Ding, E. Cristofalo, J. Wang, D. Castanon, E. Montijano, V. Saligrama, M. Schwager, A Multi-Resolution Approach for Discovery and 3D Modeling of Archaeological Sites Using Satellite Imagery and a UAV-borne Camera,” American Control Conference, 2016.
- J. Wang, K. Trapeznikov, V. Saligrama, Efficient Learning by Directed Acyclic Graph for Resource Constrained Prediction, Advances in Neural Information Processing Systems, 2015.
- F. Nan, J. Wang, V. Saligrama, Feature-Budgeted Random Forests, International Conference on Machine Learning, 2015.
- J. Wang, T. Bolukbasi, K. Trapeznikov, V. Saligrama, Model Selection by Linear Programming, European Conference on Computer Vision, 2014.
- J.Wang, K. Trapeznikov, V. Saligrama, An LP for Sequential Learning Under Budgets, International Conference on Articial Intelligence and Statistics, 2014.
- J. Wang, K. Trapeznikov, V. Saligrama, Online Local Linear Classication, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013.
- J. Wang, V. Saligrama, Locally-Linear Learning Machines (L3M), Asian Conference on Machine Learning, 2013.
- J. Wang, V. Saligrama, Local Supervised Learning through Space Partitioning, in NIPS, pp. 91-99, 2012.
- J. Wang, V. Saligrama, D. Castanon, Structural Similarity and Distance in Learning, September 2011, 49th Annual Allerton Conference.
- J. Wang, V. Saligrama, D. Castanon, Kernel Low-Rank Representation and Non-linear Manifold Clustering, January 2011, BU CISE Technical Report #2011-IR-0007.
- J. Wang, V. Saligrama, D. Castanon, “Markov Group Testing”, September 2010, 48th Annual Allerton Conference.
