Publications (74)
VIP-COP: Context Optimization for Tabular Foundation Models
Yilong Chen, Xueying Ding, Leman Akoglu
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs
Emaad A. Manzoor, Sadegh Momeni, Venkat N. Venkatakrishnan +1
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
Xiyuan Zhang, Danielle C. Maddix, Junming Yin +11
Less is More: Building Selective Anomaly Ensembles
Shebuti Rayana, Leman Akoglu
LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector
Nikhil Gupta, Dhivya Eswaran, Neil Shah +2
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue +5
Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights
Wenbo Chen, Veena Padmanabhan, Tootiya Giyahchi +2
MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection
Xueying Ding, Simon Klüttermann, Haomin Wen +2
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm
Siheng Chen, Sufeng Niu, Leman Akoglu +2
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu, Yujun Yan, Lingxiao Zhao +3
Anomaly Detection in Large Labeled Multi-Graph Databases
Hung T. Nguyen, Pierre J. Liang, Leman Akoglu
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
Xueying Ding, Rui Xi, Leman Akoglu
Unified Discrete Diffusion for Categorical Data
Lingxiao Zhao, Xueying Ding, Lijun Yu +1
Detecting Changed-Hands Online Review Accounts
Geli Fei, Shuai Wang, Bing Liu +1
Where Graph Topology Matters: The Robust Subgraph Problem
Hau Chan, Shuchu Han, Leman Akoglu
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series
Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi +3
Anomaly Mining -- Past, Present and Future
Leman Akoglu
Robust Semi-Supervised Classification for Multi-Relational Graphs
Junting Ye, Leman Akoglu
Toward Unsupervised Outlier Model Selection
Yue Zhao, Sean Zhang, Leman Akoglu
FairOD: Fairness-aware Outlier Detection
Shubhranshu Shekhar, Neil Shah, Leman Akoglu
Graph Anomaly Detection with Unsupervised GNNs
Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan +1
Automating Outlier Detection via Meta-Learning
Yue Zhao, Ryan A. Rossi, Leman Akoglu
Temporal Opinion Spam Detection by Multivariate Indicative Signals
Junting Ye, Santhosh Kumar, Leman Akoglu
Sparx: Distributed Outlier Detection at Scale
Sean Zhang, Varun Ursekar, Leman Akoglu
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments
Shuli Jiang, Robson Leonardo Ferreira Cordeiro, Leman Akoglu
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang +1
AutoAudit: Mining Accounting and Time-Evolving Graphs
Meng-Chieh Lee, Yue Zhao, Aluna Wang +4
Self-Tuning Self-Supervised Image Anomaly Detection
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
Boje Deforce, Meng-Chieh Lee, Bart Baesens +3
Scalable Anomaly Ranking of Attributed Neighborhoods
Bryan Perozzi, Leman Akoglu
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding
Steven Jecmen, Nihar B. Shah, Fei Fang +1
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
Yuchen Shen, Haomin Wen, Leman Akoglu
Want a Good Answer? Ask a Good Question First!
Yuan Yao, Hanghang Tong, Tao Xie +3
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Lingxiao Zhao, Xueying Ding, Leman Akoglu
Unsupervised Machine Learning for Explainable Health Care Fraud Detection
Shubhranshu Shekhar, Jetson Leder-Luis, Leman Akoglu
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
Xueying Ding, Yue Zhao, Leman Akoglu
Ties That Bind - Characterizing Classes by Attributes and Social Ties
Aria Rezaei, Bryan Perozzi, Leman Akoglu
The Politics of Routing: Investigating the Relationship Between AS Connectivity and Internet Freedom
Rachee Singh, Hyungjoon Koo, Najmehalsadat Miramirkhani +3
BuSCOPE : Fusing Individual & Aggregated Mobility Behavior for "Live" Smart City Services
Lakmal Meegahapola, Thivya Kandappu, Kasthuri Jayarajah +3
Hyperparameter Optimization for Unsupervised Outlier Detection
Yue Zhao, Leman Akoglu
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding, Lingxiao Zhao, Leman Akoglu
Summarizing Labeled Multi-Graphs
Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
C-AllOut: Catching & Calling Outliers by Type
Guilherme D. F. Silva, Leman Akoglu, Robson L. F. Cordeiro
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management
Xueying Ding, Nikita Seleznev, Senthil Kumar +2
Toward Privileged Foundation Models:LUPI for Accelerated and Improved Learning
Xueying Ding, Leman Akoglu
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Martin Q. Ma, Yue Zhao, Xiaorong Zhang +1
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
Bryan Hooi, Neil Shah, Alex Beutel +5
Connecting Graph Convolutional Networks and Graph-Regularized PCA
Lingxiao Zhao, Leman Akoglu
Long-Horizon Plan Execution in Large Tool Spaces through Entropy-Guided Branching
Rongzhe Wei, Ge Shi, Min Cheng +5
Fast Attributed Graph Embedding via Density of States
Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
EdgeCentric: Anomaly Detection in Edge-Attributed Networks
Neil Shah, Alex Beutel, Bryan Hooi +5
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
Xueying Ding, Xingyue Huang, Mingxuan Ju +5
Coverage-based Outlier Explanation
Yue Wu, Leman Akoglu, Ian Davidson
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao, Leman Akoglu
Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection
Vijeta Deshpande, Tootiya Giyahchi, Veena Padmanabhan +2
Graph-based Anomaly Detection and Description: A Survey
Leman Akoglu, Hanghang Tong, Danai Koutra
Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text
Tianyang Zhou, Wenbo Chen, Pierre Jinghong Liang +1
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao, Wei Jin, Leman Akoglu +1
CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection
Haomin Wen, Shurui Cao, Leman Akoglu
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
Xuan Wu, Lingxiao Zhao, Leman Akoglu
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
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection
Yue Zhao, Xiyang Hu, Cheng Cheng +11
Incorporating Privileged Information to Unsupervised Anomaly Detection
Shubhranshu Shekhar, Leman Akoglu
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights
Lingxiao Zhao, Leman Akoglu
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection
Jaemin Yoo, Yue Zhao, Lingxiao Zhao +1
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Shebuti Rayana, Wen Zhong, Leman Akoglu
A Practical, Progressively-Expressive GNN
Lingxiao Zhao, Louis Härtel, Neil Shah +1
Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung Nguyen, Xuejian Wang, Leman Akoglu
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities
Leman Akoglu, Jaemin Yoo
Explaining Anomalies in Groups with Characterizing Subspace Rules
Meghanath Macha, Leman Akoglu
From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection
Xueying Ding, Haomin Wen, Simon Klüttermann +1
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Haomin Wen, Shurui Cao, Zeeshan Rasheed +2