Yexiang Xue

Orcid: 0000-0002-4533-0543

According to our database1, Yexiang Xue authored at least 83 papers between 2012 and 2024.

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Bibliography

2024
Vertical Symbolic Regression via Deep Policy Gradient.
CoRR, 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

Racing Control Variable Genetic Programming for Symbolic Regression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Vertical Symbolic Regression.
CoRR, 2023

Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation.
CoRR, 2023

Integrating Symbolic Reasoning into Neural Generative Models for Design Generation.
CoRR, 2023

Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning.
CoRR, 2023

Adversarial Policy Optimization in Deep Reinforcement Learning.
CoRR, 2023

Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning.
CoRR, 2023

Symbolic Regression via Control Variable Genetic Programming.
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
Constraint Reasoning Embedded Structured Prediction.
J. Mach. Learn. Res., 2022

Robust Policy Optimization in Deep Reinforcement Learning.
CoRR, 2022

Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma.
CoRR, 2022

Human-centered XAI for Burn Depth Characterization.
CoRR, 2022

On the Value of Behavioral Representations for Dense Retrieval.
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

Massive Text Normalization via an Efficient Randomized Algorithm.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Efficient learning of sparse and decomposable PDEs using random projection.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Task Detection in Continual Learning via Familiarity Autoencoders.
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

Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
A Fast Randomized Algorithm for Massive Text Normalization.
CoRR, 2021

SARTRES: a semi-autonomous robot teleoperation environment for surgery.
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

PALM: Probabilistic area loss Minimization for Protein Sequence Alignment.
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

Physics Knowledge Discovery via Neural Differential Equation Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

XOR-CD: Linearly Convergent Constrained Structure Generation.
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

Contrastive Divergence Learning with Chained Belief Propagation.
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

Towards Efficient Discrete Integration via Adaptive Quantile Queries.
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
AdaWISH: Faster Discrete Integration via Adaptive Quantiles.
CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.
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

Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Imitation Refinement for X-ray Diffraction Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

CPU-accelerated principal-agent game for scalable citizen science.
Proceedings of the Conference on Computing & Sustainable Societies, 2019

Embedding Decision Diagrams into Generative Adversarial Networks.
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

Imitation Refinement.
CoRR, 2018

Phase Mapper: Accelerating Materials Discovery with AI.
AI Mag., 2018

Adaptive Stratified Sampling for Precision-Recall Estimation.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Expanding Holographic Embeddings for Knowledge Completion.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Learning for the Deep Multivariate Probit Model.
Proceedings of the 35th International Conference on Machine Learning, 2018

Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks.
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

XOR-Sampling for Network Design with Correlated Stochastic Events.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Multi-species Embedding.
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

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Variable Elimination in the Fourier Domain.
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

Avicaching: A Two Stage Game for Bias Reduction in Citizen Science.
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
Travel time estimation of a path using sparse trajectories.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Human Computation Framework for Boosting Combinatorial Solvers.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Uncovering Hidden Structure through Parallel Problem Decomposition.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Learning policies for battery usage optimization in electric vehicles.
Mach. Learn., 2013

Improving Your Chances: Boosting Citizen Science Discovery.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Large Landscape Conservation - Synthetic and Real-World Datasets.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Network Design For Multispecies Conservation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Same-decision probability: A confidence measure for threshold-based decisions.
Int. J. Approx. Reason., 2012

Basing Decisions on Sentences in Decision Diagrams.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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