| 2026 | ACL | Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights. | Wenbo Chen, Veena Padmanabhan, Tootiya Giyahchi, Elaine Wong, Leman Akoglu |
| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2025 | KDD | SKnow-LLM Workshop: Structured Knowledge for Large Language Models. | Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala |
| 2025 | KDD | Self-Tuning Self-Supervised Image Anomaly Detection. | Jaemin Yoo, Lingxiao Zhao, Leman Akoglu |
| 2025 | SDM | Trajectory Anomaly Detection with By-Design Complementary Detectors. | Shurui Cao, Leman Akoglu |
| 2025 | SDM | End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection. | Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefana Serral Asensio, Jaemin Yoo, Leman Akoglu |
| 2024 | AIES | Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. | Xueying Ding, Rui Xi, Leman Akoglu |
| 2024 | KDD | Machine Learning in Finance. | Leman Akoglu, Nitesh V. Chawla, Josep Domingo-Ferrer, Eren Kurshan, Senthil Kumar, Vidyut M. Naware, Jos A. Rodrguez-Serrano, Isha Chaturvedi, Saurabh Nagrecha, Mahashweta Das, Tanveer A. Faruquie |
| 2024 | KDD | Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. | Xueying Ding, Yue Zhao, Leman Akoglu |
| 2024 | WWW | Descriptive Kernel Convolution Network with Improved Random Walk Kernel. | Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu |
| 2023 | KDD | KDD Workshop on Machine Learning in Finance. | Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie |
| 2023 | KDD | 19th International Workshop on Mining and Learning with Graphs (MLG). | Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu |
| 2022 | ICDM | Toward Unsupervised Outlier Model Selection. | Yue Zhao, Sean Zhang, Leman Akoglu |
| 2022 | ICDM | D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments. | Shuli Jiang, Robson L. F. Cordeiro, Leman Akoglu |
| 2022 | ICLR | From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. | Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah |
| 2022 | KDD | KDD Workshop on Machine Learning in Finance. | Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer A. Faruquie, Hays McCormick |
| 2022 | KDD | Sparx: Distributed Outlier Detection at Scale. | Sean Zhang, Varun Ursekar, Leman Akoglu |
| 2021 | AIES | FairOD: Fairness-aware Outlier Detection. | Shubhranshu Shekhar, Neil Shah, Leman Akoglu |
| 2021 | CIKM | Anomaly Mining: Past, Present and Future. | Leman Akoglu |
| 2021 | ICDM | Fast Attributed Graph Embedding via Density of States. | Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu |
| 2021 | IJCAI | Anomaly Mining - Past, Present and Future. | Leman Akoglu |
| 2021 | KDD | ODD: Outlier Detection and Description. | Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta |
| 2021 | KDD | Machine Learning in Finance. | Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, Jos A. Rodrguez-Serrano, Tanveer A. Faruquie, Saurabh Nagrecha |
| 2020 | ICLR | PairNorm: Tackling Oversmoothing in GNNs. | Lingxiao Zhao, Leman Akoglu |
| 2019 | Mobisys | BuScope: Fusing Individual & Aggregated Mobility Behavior for. | Lakmal Meegahapola, Thivya Kandappu, Kasthuri Jayarajah, Leman Akoglu, Shili Xiang, Archan Misra |
| 2019 | WWW | ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections. | Tuan M. V. Le, Leman Akoglu |
| 2019 | SDM | Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. | Hemank Lamba, Leman Akoglu |
| 2018 | CIKM | ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. | Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos |
| 2018 | CIKM | A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. | Xuan Wu, Lingxiao Zhao, Leman Akoglu |
| 2018 | KDD | xStream: Outlier Detection in Feature-Evolving Data Streams. | Emaad A. Manzoor, Hemank Lamba, Leman Akoglu |
| 2018 | PAKDD | Robust Semi-Supervised Learning on Multiple Networks with Noise. | Junting Ye, Leman Akoglu |
| 2017 | ICDM | Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges. | Leman Akoglu |
| 2017 | KDD | RUSH!: Targeted Time-limited Coupons via Purchase Forecasts. | Emaad A. Manzoor, Leman Akoglu |
| 2017 | PAKDD | A Domain-Agnostic Approach to Spam-URL Detection via Redirects. | Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu |
| 2017 | WWW | Ties That Bind: Characterizing Classes by Attributes and Social Ties. | Aria Rezaei, Bryan Perozzi, Leman Akoglu |
| 2017 | SDM | Ranking in Heterogeneous Networks with Geo-Location Information. | Abhinav Mishra, Leman Akoglu |
| 2016 | CIKM | ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. | Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu |
| 2016 | ICDM | Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. | Shebuti Rayana, Wen Zhong, Leman Akoglu |
| 2016 | ICDM | EdgeCentric: Anomaly Detection in Edge-Attributed Networks. | Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Gnnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos |
| 2016 | ICWSM | Temporal Opinion Spam Detection by Multivariate Indicative Signals. | Junting Ye, Santhosh Kumar, Leman Akoglu |
| 2016 | KDD | Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. | Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu |
| 2016 | SDM | BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. | Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gnnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos |
| 2016 | SDM | Scalable Anomaly Ranking of Attributed Neighborhoods. | Bryan Perozzi, Leman Akoglu |
| 2016 | SDM | Collective Opinion Spam Detection using Active Inference. | Shebuti Rayana, Leman Akoglu |
| 2015 | CCS | Fraud Detection through Graph-Based User Behavior Modeling. | Alex Beutel, Leman Akoglu, Christos Faloutsos |
| 2015 | KDD | Graph-Based User Behavior Modeling: From Prediction to Fraud Detection. | Alex Beutel, Leman Akoglu, Christos Faloutsos |
| 2015 | KDD | Collective Opinion Spam Detection: Bridging Review Networks and Metadata. | Shebuti Rayana, Leman Akoglu |
| 2015 | WWW | Correlation of Node Importance Measures: An Empirical Study through Graph Robustness. | Mirza Basim Baig, Leman Akoglu |
| 2015 | SDM | Where Graph Topology Matters: The Robust Subgraph Problem. | Hau Chan, Shuchu Han, Leman Akoglu |
| 2015 | SDM | Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs. | Shebuti Rayana, Leman Akoglu |
| 2014 | ACL | ConnotationWordNet: Learning Connotation over the Word+Sense Network. | Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi |
| 2014 | ADC | Fast Information-Theoretic Agglomerative Co-clustering. | Tiantian Gao, Leman Akoglu |
| 2014 | ICWSM | Quantifying Political Polarity Based on Bipartite Opinion Networks. | Leman Akoglu |
| 2014 | KDD | Focused clustering and outlier detection in large attributed graphs. | Bryan Perozzi, Leman Akoglu, Patricia Iglesias Snchez, Emmanuel Mller |
| 2014 | WWW | User churn in focused question answering sites: characterizations and prediction. | Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong |
| 2014 | WSDM | Big graph mining for the web and social media: algorithms, anomaly detection, and applications. | U Kang, Leman Akoglu, Duen Horng Chau |
| 2014 | SDM | Make It or Break It: Manipulating Robustness in Large Networks. | Hau Chan, Leman Akoglu, Hanghang Tong |
| 2013 | FUSION | Do more views of a graph help? Community detection and clustering in multi-graphs. | Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco |
| 2013 | ICDM | External Evaluation of Topic Models: A Graph Mining Approach. | Hau Chan, Leman Akoglu |
| 2013 | ICWSM | Opinion Fraud Detection in Online Reviews by Network Effects. | Leman Akoglu, Rishi Chandy, Christos Faloutsos |
| 2013 | WSDM | Anomaly, event, and fraud detection in large network datasets. | Leman Akoglu, Christos Faloutsos |
| 2013 | SDM | Mining Connection Pathways for Marked Nodes in Large Graphs. | Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken |
| 2012 | CIKM | Fast and reliable anomaly detection in categorical data. | Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos |
| 2012 | KDD | TourViz: interactive visualization of connection pathways in large graphs. | Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos |
| 2012 | KDD | RolX: structural role extraction & mining in large graphs. | Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li |
| 2012 | PAKDD | Quantifying Reciprocity in Large Weighted Communication Networks. | Leman Akoglu, Pedro O. S. Vaz de Melo, Christos Faloutsos |
| 2012 | SIGMOD | OPAvion: mining and visualization in large graphs. | Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos |
| 2012 | SDM | PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. | Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos |
| 2011 | KDD | It's who you know: graph mining using recursive structural features. | Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos |
| 2010 | ICDM | ValuePick: Towards a Value-Oriented Dual-Goal Recommender System. | Leman Akoglu, Christos Faloutsos |
| 2010 | ICDM | Patterns on the Connected Components of Terabyte-Scale Graphs. | U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos |
| 2010 | KDD | Metric forensics: a multi-level approach for mining volatile graphs. | Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong |
| 2010 | PAKDD | oddball: Spotting Anomalies in Weighted Graphs. | Leman Akoglu, Mary McGlohon, Christos Faloutsos |
| 2009 | KDD | Large human communication networks: patterns and a utility-driven generator. | Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu |
| 2008 | ICDM | RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs. | Leman Akoglu, Mary McGlohon, Christos Faloutsos |
| 2008 | KDD | Weighted graphs and disconnected components: patterns and a generator. | Mary McGlohon, Leman Akoglu, Christos Faloutsos |