Binghui Xie
8 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🗺️
Taxonomy Completionist
(22)
🏆
Grand Slam
❓
The Questioner
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(6)
Application Areas
(5)
Architectures
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
out-of-distribution generalization
(4)
domain generalization
(3)
subset selection
(2)
graph neural network
(2)
invariant learning
(2)
causal model
(2)
causal inference
(2)
permutation invariance
(2)
hierarchical representation
(1)
mutual information
(1)
feature invariance
(1)
set representation
(1)
projected gradient descent
(1)
multi-objective optimization
(1)
adversarial attack
(1)
latent representation
(1)
spurious correlation
(1)
drug discovery
(1)
adversarial example
(1)
non-stationary learning
(1)
Papers
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
AAAI 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
ICLR 2024
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
NeurIPS 2024
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
NeurIPS 2023
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
ICLR 2023
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
ICML 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
NeurIPS 2022