Parallelization of Error Weighted Hashing for Approximate k-Nearest Neighbour Search on GPU-CPU Hybrid. - Siddharth Bhatia 001; Mohan Pavan Kumar Badarla (BigDataSecurity/HPSC/IDS, 2016)

MPLS based hybridization in SDN. - Yash Sinha; Siddharth Bhatia 001; Virendra Singh Shekhawat (SDS, 2017)

Lung Cancer Detection: A Deep Learning Approach. - Siddharth Bhatia 001; Yash Sinha; Lavika Goel (SocProS (2), 2017)

Review of Graph Processing Frameworks. - Siddharth Bhatia 001; Rajiv Kumar 002 (ICDM Workshops, 2018)

Approximate Triangle Count and Clustering Coefficient. - Siddharth Bhatia 001 (SIGMOD Conference, 2018)

Bend-optimal orthogonal drawings of triconnected plane graphs. - Siddharth Bhatia 001; Kunal Lad; Rajiv Kumar 002 (AKCE Int. J. Graphs Comb., 2018)

Midas: Microcluster-Based Detector of Anomalies in Edge Streams. - Siddharth Bhatia 001; Bryan Hooi; Minji Yoon; Kijung Shin; Christos Faloutsos (AAAI, 2020)

MStream: Fast Streaming Multi-Aspect Group Anomaly Detection. - Siddharth Bhatia 001; Arjit Jain; Pan Li 005; Ritesh Kumar; Bryan Hooi (CoRR, 2020)

Real-Time Streaming Anomaly Detection in Dynamic Graphs. - Siddharth Bhatia 001; Rui Liu 004; Bryan Hooi; Minji Yoon; Kijung Shin; Christos Faloutsos (CoRR, 2020)

ExGAN: Adversarial Generation of Extreme Samples. - Siddharth Bhatia 001; Arjit Jain; Bryan Hooi (AAAI, 2021)

AugSplicing: Synchronized Behavior Detection in Streaming Tensors. - Jiabao Zhang; Shenghua Liu; Wenting Hou; Siddharth Bhatia 001; Huawei Shen; Wenjian Yu; Xueqi Cheng (AAAI, 2021)

ODD: Outlier Detection and Description. - Siddharth Bhatia 001; Bryan Hooi; Leman Akoglu; Sourav Chatterjee; Xiaodong Jiang; Manish Gupta (KDD, 2021)

SSMF: Shifting Seasonal Matrix Factorization. - Koki Kawabata; Siddharth Bhatia 001; Rui Liu 004; Mohit Wadhwa; Bryan Hooi (NeurIPS, 2021)

Adaptive Data Augmentation on Temporal Graphs. - Yiwei Wang 001; Yujun Cai; Yuxuan Liang; Henghui Ding; Changhu Wang; Siddharth Bhatia 001; Bryan Hooi (NeurIPS, 2021)

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. - Siddharth Bhatia 001; Yiwei Wang 001; Bryan Hooi; Tanmoy Chakraborty 002 (ECML/PKDD (2), 2021)

MStream: Fast Anomaly Detection in Multi-Aspect Streams. - Siddharth Bhatia 001; Arjit Jain; Pan Li 005; Ritesh Kumar; Bryan Hooi (WWW, 2021)

CAC: A Clustering Based Framework for Classification. - Shivin Srivastava; Siddharth Bhatia 001; Lingxiao Huang; Lim Jun Heng; Kenji Kawaguchi; Vaibhav Rajan (CoRR, 2021)

Isconna: Streaming Anomaly Detection with Frequency and Patterns. - Rui Liu 004; Siddharth Bhatia 001; Bryan Hooi (CoRR, 2021)

MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. - Siddharth Bhatia 001; Arjit Jain; Shivin Srivastava; Kenji Kawaguchi; Bryan Hooi (CoRR, 2021)

Sketch-Based Streaming Anomaly Detection in Dynamic Graphs. - Siddharth Bhatia 001; Mohit Wadhwa; Philip S. Yu; Bryan Hooi (CoRR, 2021)

Multiple Anomaly Alignments on Network Traffics. - Nannan Wu; Ning Zhang; Qingcheng Lu; Jie Zhang; Wenjun Wang 002; Ying Sun 005; Siddharth Bhatia 001 (ICKG, 2022)

MonLAD: Money Laundering Agents Detection in Transaction Streams. - Xiaobing Sun; Wenjie Feng 001; Shenghua Liu; Yuyang Xie; Siddharth Bhatia 001; Bryan Hooi; Wenhan Wang; Xueqi Cheng (WSDM, 2022)

MemStream: Memory-Based Streaming Anomaly Detection. - Siddharth Bhatia 001; Arjit Jain; Shivin Srivastava; Kenji Kawaguchi; Bryan Hooi (WWW, 2022)

AAAN: Anomaly Alignment in Attributed Networks. - Ying Sun 005; Wenjun Wang 002; Nannan Wu; Chaochao Liu; Siddharth Bhatia 001; Yang Yu 030; Wei Yu 016 (Knowl. Based Syst., 2022)

Real-Time Anomaly Detection in Edge Streams. - Siddharth Bhatia 001; Rui Liu 004; Bryan Hooi; Minji Yoon; Kijung Shin; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2022)

Sketch-Based Anomaly Detection in Streaming Graphs. - Siddharth Bhatia 001; Mohit Wadhwa; Kenji Kawaguchi; Neil Shah; Philip S. Yu; Bryan Hooi (KDD, 2023)

Streaming Anomaly Detection. - Siddharth Bhatia 001 (CoRR, 2023)