Yexiang Xue
27 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (53) 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Silver
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(19)
Artificial Intelligence
(12)
Mathematics & Optimization
(11)
Optimization & Theory
(11)
Optimization
(9)
Deep Learning
(8)
Core AI
(8)
Core Methods
(8)
Learning Types
(7)
Mathematics
(5)
Models
(5)
Reinforcement Learning
(3)
Application Areas
(3)
Learning Paradigms
(3)
Knowledge & Reasoning
(2)
Keywords
neural network
(3)
constraint satisfaction
(3)
partial differential equation
(3)
symbolic regression
(3)
probabilistic inference
(3)
contrastive divergence
(2)
satisfiability modulo counting
(2)
stochastic optimization
(2)
approximation algorithm
(2)
xor sampling
(2)
markov random field
(2)
symbolic reasoning
(2)
random projection
(2)
sparse decomposition
(2)
maximum entropy
(1)
probabilistic modeling
(1)
compressed sensing
(1)
statistical inference
(1)
feature learning
(1)
representation learning
(1)
Papers
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
AAAI 2025
Integrating Symbolic Reasoning into Neural Generative Models for Design Generation
AAAI 2025
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
ICML 2025
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains
AAAI 2024
End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
AAAI 2024
Natural Language-based State Representation in Deep Reinforcement Learning
NAACL 2024
Racing Control Variable Genetic Programming for Symbolic Regression
AAAI 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
AAAI 2024
Vertical Symbolic Regression via Deep Policy Gradient
IJCAI 2024
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma
AAAI 2023
Constraint Reasoning Embedded Structured Prediction
JMLR 2022
Efficient learning of sparse and decomposable PDEs using random projection
UAI 2022
X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning
UAI 2022
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
NeurIPS 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment
UAI 2021
XOR-CD: Linearly Convergent Constrained Structure Generation
ICML 2021
XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty
UAI 2021
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
IJCAI 2020
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
EMNLP 2020
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks
IJCAI 2019
End-to-End Learning for the Deep Multivariate Probit Model
ICML 2018
Expanding Holographic Embeddings for Knowledge Completion
NeurIPS 2018
Deep Multi-species Embedding
IJCAI 2017
XOR-Sampling for Network Design with Correlated Stochastic Events
IJCAI 2017
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
NeurIPS 2016
Variable Elimination in the Fourier Domain
ICML 2016
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery
IJCAI 2015