Siddharth Bhatia

According to our database, Siddharth Bhatia authored at least 27 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Streaming Anomaly Detection.

Siddharth Bhatia

CoRR, 2023

Sketch-Based Anomaly Detection in Streaming Graphs.

Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Real-Time Anomaly Detection in Edge Streams.

Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

ACM Trans. Knowl. Discov. Data, 2022

AAAN: Anomaly Alignment in Attributed Networks.

Ying Sun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu

Knowl. Based Syst., 2022

MemStream: Memory-Based Streaming Anomaly Detection.

Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MonLAD: Money Laundering Agents Detection in Transaction Streams.

Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Multiple Anomaly Alignments on Network Traffics.

Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, Siddharth Bhatia

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021

Sketch-Based Streaming Anomaly Detection in Dynamic Graphs.

Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi

CoRR, 2021

MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift.

Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi

CoRR, 2021

Isconna: Streaming Anomaly Detection with Frequency and Patterns.

Rui Liu, Siddharth Bhatia, Bryan Hooi

CoRR, 2021

CAC: A Clustering Based Framework for Classification.

Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan

CoRR, 2021

MStream: Fast Anomaly Detection in Multi-Aspect Streams.

Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi

Proceedings of the WWW '21: The Web Conference 2021, 2021

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs.

Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Adaptive Data Augmentation on Temporal Graphs.

Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SSMF: Shifting Seasonal Matrix Factorization.

Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ODD: Outlier Detection and Description.

Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AugSplicing: Synchronized Behavior Detection in Streaming Tensors.

Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

ExGAN: Adversarial Generation of Extreme Samples.

Siddharth Bhatia, Arjit Jain, Bryan Hooi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Real-Time Streaming Anomaly Detection in Dynamic Graphs.

Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

CoRR, 2020

MStream: Fast Streaming Multi-Aspect Group Anomaly Detection.

Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi

CoRR, 2020

Midas: Microcluster-Based Detector of Anomalies in Edge Streams.

Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Bend-optimal orthogonal drawings of triconnected plane graphs.

Siddharth Bhatia, Kunal Lad, Rajiv Kumar

AKCE Int. J. Graphs Comb., 2018

Approximate Triangle Count and Clustering Coefficient.

Siddharth Bhatia

Proceedings of the 2018 International Conference on Management of Data, 2018

Review of Graph Processing Frameworks.

Siddharth Bhatia, Rajiv Kumar

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Lung Cancer Detection: A Deep Learning Approach.

Siddharth Bhatia, Yash Sinha, Lavika Goel

Proceedings of the Soft Computing for Problem Solving, 2017

MPLS based hybridization in SDN.

Yash Sinha, Siddharth Bhatia, Virendra Singh Shekhawat

Proceedings of the 2017 Fourth International Conference on Software Defined Systems, 2017

2016

Parallelization of Error Weighted Hashing for Approximate k-Nearest Neighbour Search on GPU-CPU Hybrid.

Siddharth Bhatia, Mohan Pavan Kumar Badarla

Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016