Xue, Yexiang

48 publications

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

AAAI 2025 Integrating Symbolic Reasoning into Neural Generative Models for Design Generation Maxwell J. Jacobson, Yexiang Xue

ICML 2025 Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits Jinzhao Li, Nan Jiang, 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 Racing Control Variable Genetic Programming for Symbolic Regression Nan Jiang, Yexiang Xue

AAAI 2024 Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees Jinzhao Li, Nan Jiang, Yexiang Xue

IJCAI 2024 Vertical Symbolic Regression via Deep Policy Gradient Nan Jiang, Md. Nasim, Yexiang Xue

ICLRW 2023 Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning Md Masudur Rahman, Yexiang Xue

AAAI 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling Through Lovász Local Lemma Nan Jiang, Yi Gu, Yexiang Xue

NeurIPSW 2023 Natural Language-Based State Representation in Deep Reinforcement Learning Md Masudur Rahman, Yexiang Xue

NeurIPSW 2023 Solving Satisfiability Modulo Counting Problems in Computational Sustainability with Guarantees Jinzhao Li, Nan Jiang, Yexiang Xue

ECML-PKDD 2023 Symbolic Regression via Control Variable Genetic Programming Nan Jiang, Yexiang Xue

NeurIPSW 2023 Vertical AI-Driven Scientific Discovery Yexiang Xue

NeurIPSW 2023 Vertical AI-Driven Scientific Discovery Yexiang Xue

NeurIPSW 2023 Vertical AI-Driven Scientific Discovery Yexiang Xue

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

JMLR 2022 Constraint Reasoning Embedded Structured Prediction Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, 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 X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning Fan Ding, Yexiang Xue

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

UAI 2021 PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue

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

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

UAI 2021 XOR-SGD: Provable Convex Stochastic Optimization for Decision-Making Under Uncertainty Fan Ding, Yexiang Xue

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

NeurIPSW 2020 Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue

IJCAI 2019 Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks Jinning Li, Yexiang Xue

UAI 2018 Adaptive Stratified Sampling for Precision-Recall Estimation Ashish Sabharwal, Yexiang Xue

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, Scott Steinschneider, Alexander Flecker, Carla P. Gomes

ICML 2018 End-to-End Learning for the Deep Multivariate Probit Model Di Chen, Yexiang Xue, Carla Gomes

NeurIPS 2018 Expanding Holographic Embeddings for Knowledge Completion Yexiang Xue, Yang Yuan, Zhitian Xu, Ashish Sabharwal

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

AAAI 2018 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

IJCAI 2017 Deep Multi-Species Embedding Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, 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 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

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

NeurIPS 2016 Solving Marginal MAP Problems with NP Oracles and Parity Constraints Yexiang Xue, Zhiyuan Li, Stefano Ermon, Carla P. Gomes, Bart Selman

ICML 2016 Variable Elimination in the Fourier Domain Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla, Bart Selman

AAAI 2015 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

IJCAI 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

AAAI 2014 Uncovering Hidden Structure Through Parallel Problem Decomposition Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman

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

MLJ 2013 Learning Policies for Battery Usage Optimization in Electric Vehicles Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman

AAAI 2013 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 2012 Basing Decisions on Sentences in Decision Diagrams Yexiang Xue, Arthur Choi, Adnan Darwiche

ECML-PKDD 2012 Learning Policies for Battery Usage Optimization in Electric Vehicles Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman