Narges Armanfard
5 papers · 2023–2026 · 3 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 · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(18)
Research topics
Keywords
graph neural network
(3)
diffusion model
(2)
anomaly detection
(2)
multi-task learning
(2)
action recognition
(1)
self-supervised learning
(1)
video anomaly detection
(1)
graph representation
(1)
spatio-temporal modeling
(1)
neural network optimization
(1)
graph attention
(1)
feature interaction
(1)
tabular data
(1)
seizure detection
(1)
masked attention
(1)
cross-task interaction
(1)
feature refinement
(1)
skeleton-based video anomaly detection
(1)
human motion analysis
(1)
cross-task affinity
(1)
Papers
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
AAAI 2026
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
UAI 2025
Cross-Task Affinity Learning for Multitask Dense Scene Predictions
WACV 2025
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection
WACV 2025
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
AAAI 2023