2018

  1. Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry Pileggi, and Christos Faloutsos GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2018.
  2. Kijung Shin, Jisu Kim, Bryan Hooi, and Christos Faloutsos. Think before You Discard: Accurate Triangle Counting in Graph Streams with Deletions. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2018.
  3. Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla. ONE-M: Modeling the Co-evolution of Opinions and Network Connections European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2018.
  4. Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng. NeuCast: Seasonal Neural Forecast of Power Grid Time Series. International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  5. Bryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry Pileggi, and Christos Faloutsos. StreamCast: Fast and Online Mining of Power Grid Time Sequences. Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2018.
  6. Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, and V.S. Subrahmanian. REV2: Fraudulent User Prediction in Rating Platforms. ACM International Conference on Web Search and Data Mining (WSDM) 2018.

    2017

  7. Pedro Costa, Aurlio Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos and Adrian Galdran EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. 16th IEEE International Conference On Machine Learning and Applications 2017.
  8. Shenghua Liu, Bryan Hooi, and Christos Faloutsos Fraud Detection using Graph Topology and Temporal Spikes. 13th international workshop on MLG, KDD 2017.
  9. Shenghua Liu, Bryan Hooi, Christos Faloutsos. HoloScope: Topology-and-Spike Aware Fraud Detection. ACM International Conference on Information and Knowledge Management (CIKM) 2017.
  10. Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, and Jurgen Pfeffer. ZOORANK: Ranking Suspicious Entities in Time-Evolving Tensors. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2017.
  11. Bryan Hooi, Shenghua Liu, Asim Smailagic, and Christos Faloutsos BEATLEX: Summarizing and Forecasting Time Series with Patterns. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2017.
  12. Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry Pileggi, and Christos Faloutsos PowerCast: Mining and Forecasting Power Grid Sequences. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2017.
  13. Chi Ling Chan, Justin Lai, Bryan Hooi and Todd Davies The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data. Social Informatics (SocInfo) 2017.
  14. Marko Jereminov, Amritanshu Pandey, Hyun Ah Song, Bryan Hooi, Larry Pileggi, and Christos Faloutsos. Linear Load Model for Robust Power System Analysis. IEEE International Conference on Innovative Smart Grid Technologies (ISGT) 2017.
  15. Kijung Shin, Bryan Hooi, Jisu Kim, and Christos Faloutsos. DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. KDD 2017.
  16. Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, and Christos Faloutsos. Graph-Based Fraud Detection in the Face of Camouflage. ACM Transactions on Knowledge Discovery from Data (TKDD), Special Issue on the Best of SIGKDD 2016, 2017.
  17. Tsubasa Takahashi, Bryan Hooi, and Christos Faloutsos. AutoCyclone: Automatic Mining of Cyclic Patterns and Anomalies by Robust Tensor Factorization. World Wide Web (WWW) Conference 2017.
  18. Kijung Shin, Bryan Hooi, Jisu Kim and Christos Faloutsos. D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. ACM International Conference on Web Search and Data Mining (WSDM) 2017.

    2016

  19. Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Gunnemann, Disha Makhija, Mohit Kumar, and Christos Faloutsos. EdgeCentric: Anomaly Detection in Edge-Attributed Networks. IEEE International Conference on Data Mining (ICDM) DMCS Workshop 2016.
  20. Kijung Shin, Bryan Hooi, and Christos Faloutsos. M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees. ECML-PKDD 2016.
  21. Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, and Christos Faloutsos. FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. KDD 2016. KDD Best Paper Award (Research Track)
  22. Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, and Christos Faloutsos. Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algortihms. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2016.
  23. Evangelos E. Papalexakis, Bryan Hooi, Konstantinos Pelechrinis, and Christos Faloutsos. Power-Hop: A Pervasive Observation for Real Complex Networks. PLoS ONE 11(3) 2016.
  24. Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gunnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, and Christos Faloutsos. BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. SDM 2016.
  25. Bryan Hooi, Hyun Ah Song, Evangelos Papalexakis, Rakesh Agrawal, and Christos Faloutsos. Matrices, Compression, Learning Curves: formulation, and the GROUPNTEACH algorithms. PAKDD 2016.

    2015

  26. Bryan Hooi, Hyun Ah Song, Evangelos Papalexakis, Rakesh Agrawal, and Christos Faloutsos. Education, Learning and Information Theory. IEEE ICDM Workshop on Data Mining for Educational Assessment and Feedback 2015.
  27. Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, and Christos Faloutsos. A General Suspiciousness Metric for Dense Blocks in Multimodal Data. IEEE International Conference on Data Mining (ICDM) 2015.