| 2026 | DASFAA | Normal Invariant Representation Learning via Weight-guided Distribution Alignment for Open-set Anomaly Detection. | Guanyu Lu, Fang Zhou, Hongzhe Shou, Martin Pavlovski, Chenting Dong, Bingheng Liao, Cheqing Jin |
| 2025 | ECAI | ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery. | Fang Zhou, Zhiqiang Chen, Martin Pavlovski, Yizhong Zhang |
| 2025 | KDD | READ: Robust and Efficient Anomaly Detection under Data Contamination and Limited Supervision. | Hongzhe Shou, Guanyu Lu, Martin Pavlovski, Fang Zhou |
| 2024 | CIKM | GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels. | Rulan Wei, Zewei He, Martin Pavlovski, Fang Zhou |
| 2024 | DASFAA | Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation. | Yingzhi Miao, Martin Pavlovski, Zhiqiang Chen, Fang Zhou |
| 2024 | ICDE | A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest. | Guanyu Lu, Fang Zhou, Martin Pavlovski, Chenyi Zhou, Cheqing Jin |
| 2023 | KDD | Extreme Multi-Label Classification for Ad Targeting using Factorization Machines. | Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic |
| 2022 | DASFAA | Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and Samples. | Xiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic |
| 2022 | DASFAA | Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning. | Weixian Zong, Fang Zhou, Martin Pavlovski, Weining Qian |
| 2022 | ICMLA | Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. | Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic |
| 2020 | KDD | Time-Aware User Embeddings as a Service. | Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic |
| 2018 | IJCAI | Generalization-Aware Structured Regression towards Balancing Bias and Variance. | Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic |