Yexiang Xue
27 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (10) ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Conference Polyglot (8) ๐ Cross-Pollinator (12)
๐
Academic Marathon
(10)
๐งญ
Keyword Pioneer
๐
Cross-Pollinator
(12)
๐
Keyword Champion
๐ฅ
Unstoppable
(11)
๐
Century Club
(27)
โก
Prolific Year
(6)
๐๏ธ
Keyword Collector
(135)
Conferences
AAAI (7)
IJCAI (6)
ICML (4)
UAI (4)
NIPS (3)
EMNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
partial differential equation
(3)
constraint satisfaction
(3)
neural network
(3)
symbolic regression
(3)
probabilistic inference
(3)
stochastic optimization
(2)
contrastive divergence
(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)
active learning
(1)
Papers
Integrating Symbolic Reasoning into Neural Generative Models for Design Generation
AAAI 2025
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
AAAI 2025
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
ICML 2025
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
AAAI 2024
End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
AAAI 2024
Vertical Symbolic Regression via Deep Policy Gradient
IJCAI 2024
Racing Control Variable Genetic Programming for Symbolic Regression
AAAI 2024
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains
AAAI 2024
Natural Language-based State Representation in Deep Reinforcement Learning
NAACL 2024
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovรกsz Local Lemma
AAAI 2023
Efficient learning of sparse and decomposable PDEs using random projection
UAI 2022
X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning
UAI 2022
Constraint Reasoning Embedded Structured Prediction
JMLR 2022
XOR-CD: Linearly Convergent Constrained Structure Generation
ICML 2021
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
NIPS 2021
XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty
UAI 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment
UAI 2021
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
EMNLP 2020
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
IJCAI 2020
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks
IJCAI 2019
Expanding Holographic Embeddings for Knowledge Completion
NIPS 2018
End-to-End Learning for the Deep Multivariate Probit Model
ICML 2018
XOR-Sampling for Network Design with Correlated Stochastic Events
IJCAI 2017
Deep Multi-species Embedding
IJCAI 2017
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
NIPS 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