Publications

[* denotes equal contribution]

2023

  1. Sketch-Based Anomaly Detection in Streaming Graphs Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023 [Paper] [Code]
  2. Classification aware clustering for Risk Prediction and Subtyping in Clinical Data Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Jun Heng Lim, Kenji Kawaguchi, Vaibhav Rajan Workshop on Information Technologies and Systems (WITS), 2023 [Paper] [Code]

2022

  1. MemStream: Memory-Based Streaming Anomaly Detection Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi The Web Conference (WWW), 2022 [Paper] [Code]
  2. Real-Time Anomaly Detection in Edge Streams Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos Transactions on Knowledge Discovery from Data (TKDD), 2022 [Paper] [Code]
  3. MonLAD: Money Laundering Agents Detectionin Transaction Streams Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng International Conference on Web Search and Data Mining (WSDM), 2022 [Paper]
  4. AAAN: Anomaly Alignment in Attributed Networks Ying Sun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu Knowledge-Based Systems, 2022 [Paper]

2021

  1. MStream: Fast Anomaly Detection in Multi-Aspect Streams [Best Paper Candidate] Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi The Web Conference (WWW), 2021 [Paper] [Slides] [Code] [Video]
  2. ExGAN: Adversarial Generation of Extreme Samples Siddharth Bhatia*, Arjit Jain*, Bryan Hooi AAAI Conference on Artificial Intelligence (AAAI), 2021 [Paper] [Poster] [Slides] [Code] [Video]
  3. GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021 [Paper] [Code]
  4. SSMF: Shifting Seasonal Matrix Factorization Koki Kawabata*, Siddharth Bhatia*, Rui Liu, Mohit Wadhwa, Bryan Hooi Conference on Neural Information Processing Systems (NeurIPS), 2021 [Paper] [Code]
  5. Adaptive Data Augmentation on Temporal Graphs Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi Conference on Neural Information Processing Systems (NeurIPS), 2021 [Paper] [Supplementary]
  6. AugSplicing: Synchronized Behavior Detection in Streaming Tensors Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng AAAI Conference on Artificial Intelligence (AAAI), 2021 [Paper] [Poster] [Code]
  7. Anomaly Alignment Across Multiple Attributed Networks Jie Zhang, Nannan Wu, Wenjun Wang, Ying Sun, Siddharth Bhatia KDD Workshop on Outlier Detection and Description (ODD), 2021 [Paper]

2020

  1. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams [500+ stars on Github] Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos AAAI Conference on Artificial Intelligence (AAAI), 2020 [Paper] [Slides] [Code] [Video] [Overview Video]
  2. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos KDD Workshop on Mining and Learning with Graphs (MLG), 2020 [Paper]

2018

  1. Approximate Triangle Count and Clustering Coefficient (Poster) Siddharth Bhatia International Conference on Management of Data (SIGMOD), 2018 [Poster]
  2. Bend-optimal orthogonal drawings of triconnected plane graphs Siddharth Bhatia, Kunal Lad, Rajiv Kumar AKCE International Journal of Graphs and Combinatorics, 2018 [Paper]

2017

  1. MPLS based hybridization in SDN Yash Sinha, Siddharth Bhatia, Virendra S Shekhawat, GSS Chalapathi International Conference on Software Defined Systems (SDS), 2017 [Paper]
  2. Lung cancer detection: A deep learning approach Siddharth Bhatia, Yash Sinha, Lavika Goel Soft Computing for Problem Solving, 2017 [Paper]
  3. MPI aware routing using SDN (Poster) Siddharth Bhatia, Yash Sinha, G Chalapathi, Rajiv Kumar International Symposium on High Performance Distributed Computing (HPDC), 2017 [Poster]
  4. Control-data plane intelligence trade-off in SDN (Poster) Yash Sinha, Siddharth Bhatia IEEE Symposium on Security and Privacy (S & P), 2017 [Poster]
  5. SmallTable (Poster) Siddharth Bhatia International Symposium on High Performance Distributed Computing (HPDC), 2017 [Poster]

2016

  1. Parallelization of Error Weighted Hashing for Approximate k-Nearest neighbour search on GPU-CPU hybrid Siddharth Bhatia, Mohan Pavan Kumar Badarla IEEE International Conference on High Performance and Smart Computing, 2016 [Paper] [Code]

2014

  1. Fuzzy analysis of machine repair problem with switching failure and reboot Chandra Shekhar, Madhu Jain, Siddharth Bhatia Journal of Reliability and Statistical Studies, 2014 [Paper]