Yexiang Xue
Orcid: 0000-0002-4533-0543
According to our database1,
Yexiang Xue
authored at least 86 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
Artif. Intell., 2025
2024
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching.
CoRR, 2024
A Tighter Convergence Proof of Reverse Experience Replay.
RLJ, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation.
CoRR, 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning.
CoRR, 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma.
CoRR, 2022
Provable Constrained Stochastic Convex Optimization with XOR-Projected Gradient Descent.
CoRR, 2022
Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data.
Briefings Bioinform., 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Bootstrap State Representation Using Style Transfer for Better Generalization in Deep Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Sequential Prediction with Logic Constraints for Surgical Robotic Activity Recognition.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
From the DESK (Dexterous Surgical Skill) to the Battlefield - A Robotics Exploratory Study.
CoRR, 2020
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach.
CoRR, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Commun. ACM, 2019
Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Conference on Computing & Sustainable Societies, 2019
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019
2018
Combining Reasoning and Learning for Multi-stage Inference in Computational Sustainability and Scientific Discovery.
PhD thesis, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018
Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network.
CoRR, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration.
Proceedings of the Principles and Practice of Constraint Programming, 2016
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
2015
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem.
Proceedings of the Computational Sustainability, 2015
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Mach. Learn., 2013
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Int. J. Approx. Reason., 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012