| 2026 | AAAI | MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data. | Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard |
| 2025 | WACV | Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection. | Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard |
| 2025 | WACV | Cross-Task Affinity Learning for Multitask Dense Scene Predictions. | Dimitrios Sinodinos, Narges Armanfard |
| 2025 | UAI | Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models. | Thi Kieu Khanh Ho, Narges Armanfard |
| 2024 | ECAI | Open-Set Multivariate Time-Series Anomaly Detection. | Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard |
| 2023 | AAAI | Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. | Thi Kieu Khanh Ho, Narges Armanfard |
| 2023 | BMVC | C3: Cross-instance guided Contrastive Clustering. | Mohammadreza Sadeghi, Hadi Hojjati, Narges Armanfard |
| 2022 | ICASSP | Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning. | Hadi Hojjati, Narges Armanfard |
| 2022 | ICPR | Attentive Task Interaction Network for Multi-Task Learning. | Dimitrios Sinodinos, Narges Armanfard |
| 2021 | ICIP | IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. | Mohammadreza Sadeghi, Narges Armanfard |
| 2021 | IJCNN | Deep Successive Subspace Learning for Data Clustering. | Mohammadreza Sadeghi, Narges Armanfard |
| 2021 | SMC | Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition. | Bahareh Nikpour, Narges Armanfard |