Publications

Conference Papers

Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, and Carla Gomes.
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information.
In Proc. 31th AAAI Conference on Artificial Intelligence (AAAI), 2017. [pdf] [supplementary materials]

Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert B. van Dover, John Gregoire, and Carla Gomes.
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.
In Proc. 29th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), 2017. [pdf]

Yexiang Xue, Zhiyuan Li, Stefano Ermon, Carla P. Gomes, Bart Selman.
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
In the Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS), 2016. [pdf] [spotlight video!]

Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes.
Behavior Identification in Two-stage Games for Incentivizing Citizen Science Exploration
In the Proceedings of the 22nd International Principles and Practice of Constraint Programming (CP), 2016. [pdf]
** Click [here] to participate in the fun Avicaching Game!

Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes and Bart Selman.
Variable Elimination in the Fourier Domain
In the Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016. [pdf][supplementary materials]

Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes.
Avicaching: A Two Stage Game for Bias Reduction in Citizen Science
In the Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016. [pdf][supplementary materials]
** Click [here] to participate in the fun Avicaching Game!

Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman.
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery.
In the Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015. [pdf] [supplementary materials]

Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, and Carla Gomes.
Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa.
In Proc. 29th AAAI Conference on Artificial Intelligence (AAAI), 2015. [pdf]

Yilun Wang, Yu Zheng, and Yexiang Xue.
Travel Time Estimation of a Path using Sparse Trajectories.
In the Proceeding of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD), 2014. [pdf]

Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman.
A Human Computation Framework for Boosting Combinatorial Solvers.
In Second AAAI Conference on Human Computation and CrowdSourcing (HComp), 2014. [pdf]

Yexiang Xue, Stefano Ermon, Carla P. Gomes and Bart Selman.
Uncovering Hidden Structure through Parallel Problem Decomposition.
In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), (student abstract) 2014. [pdf]

Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes and Steve Kelling.
Improving Your Chances: Boosting Citizen Science Discovery.
In First AAAI Conference on Human Computation and CrowdSourcing (HComp), 2013. [pdf] [hot spot list] [species list].

Ronan Le Bras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Claire Montgomery and Michael K. Schwartz.
Robust Network Design for Multispecies Conservation.
In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2013. [pdf]

Bistra Dilkina, Katherine Lai, Ronan Le Bras, Yexiang Xue, Carla P. Gomes, Ashish Sabharwal, Jordan Suter, Kevin S. McKelvey, Michael K. Schwartz and Claire Montgomery.
Large Landscape Conservation - Synthetic and Real-World Datasets.
In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2013. [pdf]

Stefano Ermon, Yexiang Xue, Carla Gomes, and Bart Selman.
Learning Policies For Battery Usage Optimization in Electric Vehicles.
In In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD),2012 [pdf]

Yexiang Xue, Arthur Choi, and Adnan Darwiche.
Basing Decisions on Sentences in Decision Diagrams.
In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2012. [pdf]

Journal Articles

Santosh K. Suram, Yexiang Xue, Junwen Bai, Ronan LeBras, Brendan H Rappazzo, Richard Bernstein, Johan Bjorck, Lan Zhou, R. Bruce van Dover, Carla P. Gomes, and John M. Gregoire.
Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System.
In American Chemical Society Combinatorial Science, Dec, 2016. [DOI]
Selected to be the editor's choice and the cover story!

Stefano Ermon, Yexiang Xue, Carla Gomes, and Bart Selman.
Learning Policies For Battery Usage Optimization in Electric Vehicles.
To appear in Machine Learning (ML), 2013.

Arthur Choi, Yexiang Xue, and Adnan Darwiche.
Same-Decision Probability: A Confidence Measure for Threshold-Based Decisions.
In the International Journal of Approximate Reasoning (IJAR), Vol. 53, No. 9, 2012. [pdf]

Education

  • September, 2011 -- Now, PhD student, Inst. of Computational Sustainability & Computer Science Dept., Cornell University.

  • September, 2007 -- July, 2011, Undergraduate, EECS, Peking University.

  • Feburary, 2011 -- May, 2011, July, 2010 -- September, 2010, Research Assistant, Automated Reasoning Lab, UCLA, Mentor: Prof. Adnan Darwiche.

Work

  • May, 2013 -- August, 2013, Research Intern, Microsoft Research Asia, Beijing, Mentor: Yu Zheng.

Institute of Computational Sustainability, Cornell University. Last Modified, September 10th, 2015.