| 2025 | AAAI | Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. | Nan Jiang, Md. Nasim, Yexiang Xue |
| 2025 | AAAI | Integrating Symbolic Reasoning into Neural Generative Models for Design Generation. | Maxwell J. Jacobson, Yexiang Xue |
| 2025 | ICML | Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits. | Jinzhao Li, Nan Jiang, Yexiang Xue |
| 2024 | AAAI | Racing Control Variable Genetic Programming for Symbolic Regression. | Nan Jiang, Yexiang Xue |
| 2024 | AAAI | Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. | Jinzhao Li, Nan Jiang, Yexiang Xue |
| 2024 | AAAI | Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains. | Md. Nasim, Yexiang Xue |
| 2024 | AAAI | End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning. | Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue |
| 2024 | IJCAI | Vertical Symbolic Regression via Deep Policy Gradient. | Nan Jiang, Md. Nasim, Yexiang Xue |
| 2024 | NAACL | Natural Language-based State Representation in Deep Reinforcement Learning. | Md Masudur Rahman, Yexiang Xue |
| 2023 | AAAI | Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovsz Local Lemma. | Nan Jiang, Yi Gu, Yexiang Xue |
| 2022 | ICMLA | Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. | Md. Masudur Rahman, Yexiang Xue |
| 2022 | SMC | Task Detection in Continual Learning via Familiarity Autoencoders. | Maxwell J. Jacobson, Case Q. Wright, Nan Jiang, Gustavo Rodriguez-Rivera, Yexiang Xue |
| 2022 | WWW | Massive Text Normalization via an Efficient Randomized Algorithm. | Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue |
| 2022 | UAI | X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning. | Fan Ding, Yexiang Xue |
| 2022 | UAI | Efficient learning of sparse and decomposable PDEs using random projection. | Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue |
| 2021 | ICML | XOR-CD: Linearly Convergent Constrained Structure Generation. | Fan Ding, Jianzhu Ma, Jinbo Xu, Yexiang Xue |
| 2021 | ICRA | DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. | Glebys T. Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs |
| 2021 | RO-MAN | Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. | Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs |
| 2021 | RO-MAN | Sequential Prediction with Logic Constraints for Surgical Robotic Activity Recognition. | Md. Masudur Rahman, Richard M. Voyles, Juan P. Wachs, Yexiang Xue |
| 2021 | UAI | PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. | Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue |
| 2021 | UAI | XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty. | Fan Ding, Yexiang Xue |
| 2020 | ECAI | Towards Efficient Discrete Integration via Adaptive Quantile Queries. | Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue |
| 2020 | EMNLP | Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach. | Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue |
| 2020 | IJCAI | Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. | Pramith Devulapalli, Bistra Dilkina, Yexiang Xue |
| 2019 | CPAIOR | Embedding Decision Diagrams into Generative Adversarial Networks. | Yexiang Xue, Willem-Jan van Hoeve |
| 2019 | ICASSP | Imitation Refinement for X-ray Diffraction Signal Processing. | Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes |
| 2019 | IJCAI | Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. | Jinning Li, Yexiang Xue |
| 2019 | IROS | DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots. | Naveen Madapana, Thomas Low, Richard M. Voyles, Yexiang Xue, Juan P. Wachs, Md. Masudur Rahman, Natalia Sanchez-Tamayo, Mythra V. Balakuntala, Glebys T. Gonzalez, Jyothsna Padmakumar Bindu, L. N. Vishnunandan Venkatesh, Xingguang Zhang, Juan Barragan Noguera |
| 2019 | RO-MAN | Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. | Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs |
| 2018 | AAAI | Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. | Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes |
| 2018 | AAAI | Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. | Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes |
| 2018 | AAAI | Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. | Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garca-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes |
| 2018 | CPAIOR | Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks. | Jonathan Michael Gomes Selman, Qinru Shi, Yexiang Xue, Roosevelt Garca-Villacorta, Alexander S. Flecker, Carla P. Gomes |
| 2018 | ICML | End-to-End Learning for the Deep Multivariate Probit Model. | Di Chen, Yexiang Xue, Carla P. Gomes |
| 2018 | UAI | Adaptive Stratified Sampling for Precision-Recall Estimation. | Ashish Sabharwal, Yexiang Xue |
| 2017 | AAAI | Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. | Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes |
| 2017 | AAAI | Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. | Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes |
| 2017 | CPAIOR | Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. | Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes |
| 2017 | IJCAI | Deep Multi-species Embedding. | Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes |
| 2017 | IJCAI | XOR-Sampling for Network Design with Correlated Stochastic Events. | Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes |
| 2016 | CP | Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration. | Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes |
| 2016 | ICML | Variable Elimination in the Fourier Domain. | Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman |
| 2015 | AAAI | Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. | Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes |
| 2015 | AAAI | Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem. | Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman |
| 2015 | IJCAI | Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery. | Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman |
| 2014 | AAAI | Uncovering Hidden Structure through Parallel Problem Decomposition. | Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman |
| 2014 | HCOMP | A Human Computation Framework for Boosting Combinatorial Solvers. | Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman |
| 2014 | KDD | Travel time estimation of a path using sparse trajectories. | Yilun Wang, Yu Zheng, Yexiang Xue |
| 2013 | AAAI | Robust Network Design For Multispecies Conservation. | Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery |
| 2013 | AAAI | Large Landscape Conservation - Synthetic and Real-World Datasets. | Bistra Dilkina, Katherine J. Lai, Ronan LeBras, Yexiang Xue, Carla P. Gomes, Ashish Sabharwal, Jordan Suter, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery |
| 2013 | HCOMP | Improving Your Chances: Boosting Citizen Science Discovery. | Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling |
| 2012 | AAAI | Basing Decisions on Sentences in Decision Diagrams. | Yexiang Xue, Arthur Choi, Adnan Darwiche |