Rizal Fathony
10 papers · 2016–2025 · 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£ Hot Topic Early Bird π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (20) π Keyword Champion (3)
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Grand Slam
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Trend Setter
π
Century Club Β· Bronze
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Keyword Collector
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Research topics
Keywords
fisher consistency
(3)
adversarial learning
(2)
graph neural network
(2)
structured prediction
(2)
distributionally robust optimization
(2)
message passing
(2)
hinge loss
(2)
graph anomaly detection
(1)
graph matching
(1)
domain adaptation
(1)
minimax optimization
(1)
differentiable learning
(1)
class imbalance
(1)
bipartite matching
(1)
distributionally robust
(1)
multi-label classification
(1)
adversarial classification
(1)
multi-class classification
(1)
robust classification
(1)
exponential family
(1)
Papers
Multi-Label Node Classification with Label Influence Propagation
ICLR 2025
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
ICLR 2024
Partitioning Message Passing for Graph Fraud Detection
ICLR 2024
Multiplicative Filter Networks
ICLR 2021
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
AISTATS 2020
Fairness for Robust Log Loss Classification
AAAI 2020
Distributionally Robust Graphical Models
NeurIPS 2018
Efficient and Consistent Adversarial Bipartite Matching
ICML 2018
Adversarial Surrogate Losses for Ordinal Regression
NeurIPS 2017
Adversarial Multiclass Classification: A Risk Minimization Perspective
NeurIPS 2016