Akoglu, Leman

27 publications

TMLR 2025 FoMo-0d: A Foundation Model for Zero-Shot Tabular Outlier Detection Yuchen Shen, Haomin Wen, Leman Akoglu

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

TMLR 2025 On the Detection of Reviewer-Author Collusion Rings from Paper Bidding Steven Jecmen, Nihar B Shah, Fei Fang, Leman Akoglu

JMLR 2025 Unified Discrete Diffusion for Categorical Data Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu

AutoML 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao, Leman Akoglu

NeurIPS 2024 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao, Xueying Ding, Leman Akoglu

NeurIPSW 2024 TSA on AutoPilot: Self-Tuning Self-Supervised Time Series Anomaly Detection Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu

ECML-PKDD 2023 DSV: An Alignment Validation Loss for Self-Supervised Outlier Model Selection Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu

TMLR 2023 Data Augmentation Is a Hyperparameter: Cherry-Picked Self-Supervision for Unsupervised Anomaly Detection Is Creating the Illusion of Success Jaemin Yoo, Tiancheng Zhao, Leman Akoglu

NeurIPS 2022 A Practical, Progressively-Expressive GNN Lingxiao Zhao, Neil Shah, Leman Akoglu

NeurIPS 2022 Dual-Discriminative Graph Neural Network for Imbalanced Graph-Level Anomaly Detection Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu Aggarwal

ICLR 2022 From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah

NeurIPS 2022 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding, Lingxiao Zhao, Leman Akoglu

ECML-PKDD 2022 Summarizing Labeled Multi-Graphs Dimitris Berberidis, Pierre J. Liang, Leman Akoglu

IJCAI 2021 Anomaly Mining - Past, Present and Future Leman Akoglu

NeurIPS 2021 Automatic Unsupervised Outlier Model Selection Yue Zhao, Ryan Rossi, Leman Akoglu

NeurIPS 2020 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra

ICLR 2020 PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao, Leman Akoglu

ECML-PKDD 2019 Continual Rare-Class Recognition with Emerging Novel Subclasses Hung T. Nguyen, Xuejian Wang, Leman Akoglu

NeurIPS 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo

ECML-PKDD 2018 Beyond Outlier Detection: LookOut for Pictorial Explanation Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos

ECML-PKDD 2018 ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud Meghanath Macha Yadagiri, Deepak Pai, Leman Akoglu

ECML-PKDD 2018 Incorporating Privileged Information to Unsupervised Anomaly Detection Shubhranshu Shekhar, Leman Akoglu

ECML-PKDD 2015 Discovering Opinion Spammer Groups by Network Footprints Junting Ye, Leman Akoglu

ECML-PKDD 2014 Fast Nearest Neighbor Search on Large Time-Evolving Graphs Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu

ECML-PKDD 2010 Surprising Patterns for the Call Duration Distribution of Mobile Phone Users Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro

ECML-PKDD 2009 RTG: A Recursive Realistic Graph Generator Using Random Typing Leman Akoglu, Christos Faloutsos