Yuyi Wang
15 papers · 2016–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(8)
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(65)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Mathematics & Optimization
(6)
Mathematics
(4)
Deep Learning
(3)
Architectures
(3)
Core Methods
(3)
Optimization
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Foundations
(2)
Learning Types
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Keywords
first-order logic
(5)
graph neural network
(2)
cardinality constraint
(2)
concentration inequality
(2)
markov logic network
(2)
deep learning
(1)
sample complexity
(1)
probabilistic inference
(1)
lifted inference
(1)
approximation algorithm
(1)
relation extraction
(1)
expressive power
(1)
discrete mathematics
(1)
linear programming
(1)
submodular maximization
(1)
high-dimensional clustering
(1)
audio processing
(1)
generalization bound
(1)
time-frequency analysis
(1)
probabilistic logic
(1)
Papers
Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence
AAAI 2026
Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
ICLR 2025
YOLOPitch: A Time-Frequency Dual-Branch YOLO Model for Pitch Estimation
Interspeech 2024
On Discovering Interesting Combinatorial Integer Sequences
IJCAI 2023
Continuous Temporal Graph Networks for Event-Based Graph Data
NAACL 2022
Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions
AAAI 2022
Efficient Submodular Optimization under Noise: Local Search is Robust
NeurIPS 2022
Fast Algorithms for Relational Marginal Polytopes
IJCAI 2021
Domain-Liftability of Relational Marginal Polytopes
AISTATS 2020
Improving Neural Relation Extraction with Positive and Unlabeled Learning
AAAI 2020
Lifted Weight Learning of Markov Logic Networks (Revisited One More Time)
PGM 2020
High Dimensional Clustering with r-nets
AAAI 2019
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
NeurIPS 2019
Learning from Networked Examples
ALT 2017
Bounds for Learning from Evolutionary-Related Data in the Realizable Case
IJCAI 2016