Basing Decisions on Sentences in Decision Diagrams. - Yexiang Xue; Arthur Choi; Adnan Darwiche (AAAI, 2012)

Same-decision probability: A confidence measure for threshold-based decisions. - Arthur Choi; Yexiang Xue; Adnan Darwiche (Int. J. Approx. Reason., 2012)

Robust Network Design For Multispecies Conservation. - Ronan LeBras; Bistra Dilkina; Yexiang Xue; Carla P. Gomes; Kevin S. McKelvey; Michael K. Schwartz; Claire A. Montgomery (AAAI, 2013)

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 (AAAI, 2013)

Improving Your Chances: Boosting Citizen Science Discovery. - Yexiang Xue; Bistra Dilkina; Theodoros Damoulas; Daniel Fink 002; Carla P. Gomes; Steve Kelling (HCOMP, 2013)

Learning policies for battery usage optimization in electric vehicles. - Stefano Ermon; Yexiang Xue; Carla P. Gomes; Bart Selman (Mach. Learn., 2013)

Uncovering Hidden Structure through Parallel Problem Decomposition. - Yexiang Xue; Stefano Ermon; Carla P. Gomes; Bart Selman (AAAI, 2014)

A Human Computation Framework for Boosting Combinatorial Solvers. - Ronan Le Bras 001; Yexiang Xue; Richard Bernstein; Carla P. Gomes; Bart Selman (HCOMP, 2014)

Travel time estimation of a path using sparse trajectories. - Yilun Wang; Yu Zheng 004; Yexiang Xue (KDD, 2014)

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 (AAAI, 2015)

Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem. - Yexiang Xue; Stefano Ermon; Carla P. Gomes; Bart Selman (AAAI Workshop: Computational Sustainability, 2015)

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 (IJCAI, 2015)

Avicaching: A Two Stage Game for Bias Reduction in Citizen Science. - Yexiang Xue; Ian Davies; Daniel Fink 002; Christopher Wood; Carla P. Gomes (AAMAS, 2016)

Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration. - Yexiang Xue; Ian Davies; Daniel Fink 002; Christopher Wood; Carla P. Gomes (CP, 2016)

Variable Elimination in the Fourier Domain. - Yexiang Xue; Stefano Ermon; Ronan Le Bras 001; Carla P. Gomes; Bart Selman (ICML, 2016)

Solving Marginal MAP Problems with NP Oracles and Parity Constraints. - Yexiang Xue; Zhiyuan Li 005; Stefano Ermon; Carla P. Gomes; Bart Selman (NIPS, 2016)

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. - Yexiang Xue; Junwen Bai; Ronan Le Bras 001; Brendan Rappazzo; Richard Bernstein; Johan Bjorck; Liane Longpre; Santosh K. Suram; Robert Bruce van Dover; John M. Gregoire; Carla P. Gomes (AAAI, 2017)

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 (AAAI, 2017)

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 (CPAIOR, 2017)

Deep Multi-species Embedding. - Di Chen 001; Yexiang Xue; Daniel Fink 002; Shuo Chen 008; Carla P. Gomes (IJCAI, 2017)

XOR-Sampling for Network Design with Correlated Stochastic Events. - Xiaojian Wu; Yexiang Xue; Bart Selman; Carla P. Gomes (IJCAI, 2017)

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network. - Johan Bjorck; Yiwei Bai; Xiaojian Wu; Yexiang Xue; Mark C. Whitmore; Carla P. Gomes (CoRR, 2017)

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 (AAAI, 2018)

Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. - Luming Tang; Yexiang Xue; Di Chen 001; Carla P. Gomes (AAAI, 2018)

Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. - Xiaojian Wu; Jonathan Gomes-Selman; Qinru Shi; Yexiang Xue; Roosevelt García-Villacorta; Elizabeth Anderson; Suresh Sethi 001; Scott Steinschneider; Alexander Flecker; Carla P. Gomes (AAAI, 2018)

Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks. - Jonathan Michael Gomes Selman; Qinru Shi; Yexiang Xue; Roosevelt García-Villacorta; Alexander S. Flecker; Carla P. Gomes (CPAIOR, 2018)

End-to-End Learning for the Deep Multivariate Probit Model. - Di Chen 001; Yexiang Xue; Carla P. Gomes (ICML, 2018)

Expanding Holographic Embeddings for Knowledge Completion. - Yexiang Xue; Yang Yuan; Zhitian Xu; Ashish Sabharwal (NeurIPS, 2018)

Adaptive Stratified Sampling for Precision-Recall Estimation. - Ashish Sabharwal; Yexiang Xue (UAI, 2018)

Phase Mapper: Accelerating Materials Discovery with AI. - Junwen Bai; Yexiang Xue; Johan Bjorck; Ronan Le Bras 001; Brendan Rappazzo; Richard Bernstein; Santosh K. Suram; Robert Bruce van Dover; John M. Gregoire; Carla P. Gomes (AI Mag., 2018)

Imitation Refinement. - Junwen Bai; Runzhe Yang; Yexiang Xue; John M. Gregoire; Carla P. Gomes (CoRR, 2018)

Combining Reasoning and Learning for Multi-stage Inference in Computational Sustainability and Scientific Discovery. - Yexiang Xue (2018)

Embedding Decision Diagrams into Generative Adversarial Networks. - Yexiang Xue; Willem-Jan van Hoeve (CPAIOR, 2019)

CPU-accelerated principal-agent game for scalable citizen science. - Anmol Kabra; Yexiang Xue; Carla P. Gomes (COMPASS, 2019)

Imitation Refinement for X-ray Diffraction Signal Processing. - Junwen Bai; Zihang Lai; Runzhe Yang; Yexiang Xue; John M. Gregoire; Carla P. Gomes (ICASSP, 2019)

Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. - Jinning Li 001; Yexiang Xue (IJCAI, 2019)

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 001; Natalia Sanchez-Tamayo; Mythra V. Balakuntala; Glebys T. Gonzalez; Jyothsna Padmakumar Bindu; L. N. Vishnunandan Venkatesh; Xingguang Zhang; et al. (IROS, 2019)

Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. - Md. Masudur Rahman 001; Natalia Sanchez-Tamayo; Glebys T. Gonzalez; Mridul Agarwal; Vaneet Aggarwal; Richard M. Voyles; Yexiang Xue; Juan P. Wachs (RO-MAN, 2019)

Computational sustainability: computing for a better world and a sustainable future. - Carla P. Gomes; Thomas G. Dietterich; Christopher Barrett; Jon Conrad; Bistra Dilkina; Stefano Ermon; Fei Fang 001; Andrew Farnsworth; Alan Fern; Xiaoli Z. Fern; Daniel Fink 002; Douglas H. Fisher; et al. (Commun. ACM, 2019)

AdaWISH: Faster Discrete Integration via Adaptive Quantiles. - Fan Ding; Hanjing Wang; Ashish Sabharwal; Yexiang Xue (CoRR, 2019)

Towards Efficient Discrete Integration via Adaptive Quantile Queries. - Fan Ding; Hanjing Wang; Ashish Sabharwal; Yexiang Xue (ECAI, 2020)

Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach. - Maosen Zhang; Nan Jiang 012; Lei Li 005; Yexiang Xue (EMNLP (Findings), 2020)

Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. - Pramith Devulapalli; Bistra Dilkina; Yexiang Xue (IJCAI, 2020)

Contrastive Divergence Learning with Chained Belief Propagation. - Fan Ding; Yexiang Xue (PGM, 2020)

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach. - Maosen Zhang; Nan Jiang 012; Lei Li 005; Yexiang Xue (CoRR, 2020)

From the DESK (Dexterous Surgical Skill) to the Battlefield - A Robotics Exploratory Study. - Glebys T. Gonzalez; Upinder Kaur; Masudur Rahma; Vishnunandan Venkatesh; Natalia Sanchez; Gregory D. Hager; Yexiang Xue; Richard M. Voyles; Juan P. Wachs (CoRR, 2020)

XOR-CD: Linearly Convergent Constrained Structure Generation. - Fan Ding; Jianzhu Ma; Jinbo Xu; Yexiang Xue (ICML, 2021)

DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. - Glebys T. Gonzalez; Mridul Agarwal; Mythra V. Balakuntala; Md. Masudur Rahman 001; Upinder Kaur; Richard M. Voyles; Vaneet Aggarwal; Yexiang Xue; Juan P. Wachs (ICRA, 2021)

LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning. - Chonghao Sima; Yexiang Xue (NeurIPS, 2021)

Physics Knowledge Discovery via Neural Differential Equation Embedding. - Yexiang Xue; Md. Nasim; Maosen Zhang; Cuncai Fan; Xinghang Zhang; Anter El-Azab (ECML/PKDD (5), 2021)

Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. - Mridul Agarwal; Glebys T. Gonzalez; Mythra V. Balakuntala; Md. Masudur Rahman 001; Vaneet Aggarwal; Richard M. Voyles; Yexiang Xue; Juan P. Wachs (RO-MAN, 2021)

Sequential Prediction with Logic Constraints for Surgical Robotic Activity Recognition. - Md. Masudur Rahman 001; Richard M. Voyles; Juan P. Wachs; Yexiang Xue (RO-MAN, 2021)

PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. - Fan Ding; Nan Jiang 012; Jianzhu Ma; Jian Peng 001; Jinbo Xu; Yexiang Xue (UAI, 2021)

XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty. - Fan Ding; Yexiang Xue (UAI, 2021)

SARTRES: a semi-autonomous robot teleoperation environment for surgery. - Md. Masudur Rahman 001; Mythra V. Balakuntala; Glebys T. Gonzalez; Mridul Agarwal; Upinder Kaur; Vishnunandan L. N. Venkatesh; Natalia Sanchez-Tamayo; Yexiang Xue; Richard M. Voyles; Vaneet Aggarwal; Juan P. Wachs (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

A Fast Randomized Algorithm for Massive Text Normalization. - Nan Jiang 012; Chen Luo 003; Vihan Lakshman; Yesh Dattatreya; Yexiang Xue (CoRR, 2021)

Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. - Md. Masudur Rahman 001; Yexiang Xue (ICMLA, 2022)

Bootstrap State Representation Using Style Transfer for Better Generalization in Deep Reinforcement Learning. - Md. Masudur Rahman 001; Yexiang Xue (ECML/PKDD (4), 2022)

Task Detection in Continual Learning via Familiarity Autoencoders. - Maxwell J. Jacobson; Case Q. Wright; Nan Jiang 012; Gustavo Rodriguez-Rivera; Yexiang Xue (SMC, 2022)

X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning. - Fan Ding; Yexiang Xue (UAI, 2022)

Efficient learning of sparse and decomposable PDEs using random projection. - Md. Nasim; Xinghang Zhang; Anter El-Azab; Yexiang Xue (UAI, 2022)

Massive Text Normalization via an Efficient Randomized Algorithm. - Nan Jiang 012; Chen Luo 003; Vihan Lakshman; Yesh Dattatreya; Yexiang Xue (WWW, 2022)

Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data. - Hantao Shu; Fan Ding; Jingtian Zhou; Yexiang Xue; Dan Zhao 004; Jianyang Zeng 001; Jianzhu Ma (Briefings Bioinform., 2022)

Provable Constrained Stochastic Convex Optimization with XOR-Projected Gradient Descent. - Fan Ding; Yijie Wang; Jianzhu Ma; Yexiang Xue (CoRR, 2022)

On the Value of Behavioral Representations for Dense Retrieval. - Nan Jiang 012; Dhivya Eswaran; Choon Hui Teo; Yexiang Xue; Yesh Dattatreya; Sujay Sanghavi; Vishy Vishwanathan (CoRR, 2022)

Human-centered XAI for Burn Depth Characterization. - Maxwell J. Jacobson; Daniela Chanci Arrubla; Maria Romeo Tricas; Gayle Gordillo; Yexiang Xue; Chandan K. Sen; Juan P. Wachs (CoRR, 2022)

Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma. - Nan Jiang 012; Yi Gu; Yexiang Xue (CoRR, 2022)

Robust Policy Optimization in Deep Reinforcement Learning. - Md. Masudur Rahman 001; Yexiang Xue (CoRR, 2022)

Constraint Reasoning Embedded Structured Prediction. - Nan Jiang 012; Maosen Zhang; Willem-Jan van Hoeve; Yexiang Xue (J. Mach. Learn. Res., 2022)

Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. - Nan Jiang 012; Yi Gu; Yexiang Xue (AAAI, 2023)

Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces. - Jinzhao Li; Daniel Fink 002; Christopher Wood; Carla P. Gomes; Yexiang Xue (AAMAS, 2023)

Symbolic Regression via Control Variable Genetic Programming. - Nan Jiang 012; Yexiang Xue (ECML/PKDD (4), 2023)

Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning. - Md. Masudur Rahman 001; Yexiang Xue (CoRR, 2023)

Adversarial Policy Optimization in Deep Reinforcement Learning. - Md. Masudur Rahman 001; Yexiang Xue (CoRR, 2023)

Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning. - Md. Masudur Rahman 001; Yexiang Xue (CoRR, 2023)

Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation. - Maxwell Joseph Jacobson; Yexiang Xue (CoRR, 2023)

Vertical Symbolic Regression. - Nan Jiang 012; Md. Nasim; Yexiang Xue (CoRR, 2023)

Racing Control Variable Genetic Programming for Symbolic Regression. - Nan Jiang 012; Yexiang Xue (AAAI, 2024)

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. - Jinzhao Li; Nan Jiang 012; Yexiang Xue (AAAI, 2024)

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains. - Md. Nasim; Yexiang Xue (AAAI, 2024)

End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning. - Md. Nasim; Xinghang Zhang; Anter El-Azab; Yexiang Xue (AAAI, 2024)

Vertical Symbolic Regression via Deep Policy Gradient. - Nan Jiang 012; Md. Nasim; Yexiang Xue (IJCAI, 2024)

Natural Language-based State Representation in Deep Reinforcement Learning. - Md Masudur Rahman; Yexiang Xue (NAACL-HLT (Findings), 2024)

A Tighter Convergence Proof of Reverse Experience Replay. - Nan Jiang 012; Jinzhao Li; Yexiang Xue (RLJ, 2024)

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. - Nan Jiang 012; Md. Nasim; Yexiang Xue (AAAI, 2025)

Integrating symbolic reasoning into neural generative models for design generation. - Maxwell J. Jacobson; Yexiang Xue (Artif. Intell., 2025)

An Exact Solver for Satisfiability Modulo Counting with Probabilistic Circuits. - Jinzhao Li; Nan Jiang 012; Yexiang Xue (CoRR, 2025)

CALM: Contextual Analog Logic with Multimodality. - Maxwell J. Jacobson; Corey J. Maley; Yexiang Xue (CoRR, 2025)