Yuguang Yan
15 papers · 2017–2025 · 5 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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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(10)
Mathematics & Optimization
(9)
Optimization
(8)
Deep Learning
(7)
Artificial Intelligence
(6)
Core AI
(5)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
Reasoning
(2)
Computer Vision
(1)
Keywords
optimal transport
(8)
neural network
(3)
confounding bia
(3)
heterogeneous domain adaptation
(2)
spectral clustering
(1)
transfer learning
(1)
causal inference
(1)
granger causality
(1)
image generation
(1)
causal effect estimation
(1)
image-to-image translation
(1)
semantic consistency
(1)
deep regression
(1)
neural network optimization
(1)
feature representation
(1)
hypergraph learning
(1)
neural architecture
(1)
entropic gromov-wasserstein
(1)
loss landscape
(1)
causal discovery
(1)
Papers
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
AAAI 2025
Improving Deep Regression with Tightness
ICLR 2025
Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport
ICML 2025
An Optimal Transport View for Subspace Clustering and Spectral Clustering
AAAI 2024
Combinatorial Routing for Neural Trees
IJCAI 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
ICML 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
AAAI 2024
Reducing Balancing Error for Causal Inference via Optimal Transport
ICML 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
Oversampling for Imbalanced Data via Optimal Transport
AAAI 2019
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks
ACML 2018
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation
IJCAI 2018
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
IJCAI 2017
On the Flatness of Loss Surface for Two-layered ReLU Networks
ACML 2017