Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction. - Saurabh Verma; Estevam R. Hruschka Jr. (ECML/PKDD (2), 2012)

A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive. - Yashvardhan Sharma; Saurabh Verma; Sumit Kumar; Shivam Upadhyay (Int. J. Cloud Appl. Comput., 2013)

A catalytic neuro-fuzzy approach to model agent-based simulation for ombudsman (Lokpal). - Praveen Ranjan Srivastava; Saurabh Verma; Shivam Upadhyay (Int. J. Bio Inspired Comput., 2014)

Stopping Amplified DNS DDoS Attacks through Distributed Query Rate Sharing. - Saurabh Verma; Ali Hamieh; Jun Ho Huh; Henrik Holm; Siva Raj Rajagopalan; Maciej Korczynski; Nina H. Fefferman (ARES, 2016)

Privacy Preserving In-network Aggregation in Wireless Sensor Networks. - Vishal Krishna Singh; Saurabh Verma; Manish Kumar 001 (FNC/MobiSPC, 2016)

Most Calls Are Local (But Some Are Regional): Dissecting Cellular Communication Patterns. - Arvind Narayanan; Saurabh Verma; Zhi-Li Zhang (GLOBECOM, 2016)

Mining Spatial-Temporal geoMobile Data via Feature Distributional Similarity Graph. - Arvind Narayanan; Saurabh Verma; Zhi-Li Zhang (MobiData@MobiSys, 2016)

Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs. - Saurabh Verma; Zhi-Li Zhang (NIPS, 2017)

Usage Based Tag Enhancement of Images. - Balaji Vasan Srinivasan; Noman Ahmed Sheikh; Roshan Kumar; Saurabh Verma; Niloy Ganguly (PAKDD (1), 2017)

Multi-low-rank Approximation for Traffic Matrices. - Saurabh Verma; Arvind Narayanan; Zhi-Li Zhang (ITC, 2017)

Evaluation of Privacy Preserving IN-Network Aggregation for Different Routing Sturctures in WSNS. - Vishal Krishna Singh; Saurabh Verma; Manish Kumar 001 (J. Ubiquitous Syst. Pervasive Networks, 2017)

DeepCache: A Deep Learning Based Framework For Content Caching. - Arvind Narayanan; Saurabh Verma; Eman Ramadan; Pariya Babaie; Zhi-Li Zhang (NetAI@SIGCOMM, 2018)

A note on Katugampola fractional calculus and fractal dimensions. - Saurabh Verma; P. Viswanathan (Appl. Math. Comput., 2018)

Making content caching policies 'smart' using the deepcache framework. - Arvind Narayanan; Saurabh Verma; Eman Ramadan; Pariya Babaie; Zhi-Li Zhang (Comput. Commun. Rev., 2018)

Mining Sub-Interval Relationships In Time Series Data. - Saurabh Agrawal 002; Saurabh Verma; Gowtham Atluri; Anuj Karpatne; Stefan Liess; Angus W. MacDonald III; Snigdhansu Chatterjee; Vipin Kumar 001 (CoRR, 2018)

Graph Capsule Convolutional Neural Networks. - Saurabh Verma; Zhi-Li Zhang (CoRR, 2018)

A step towards Home Automation using IOT. - Harsh Kumar Singh; Saurabh Verma; Shashank Pal; Kavita Pandey (IC3, 2019)

Improving performance of TCP for wireless network using SDN. - Krishna Vijay Kumar Singh; Sakshi Gupta; Saurabh Verma; Mayank Pandey (ICDCN, 2019)

Stability and Generalization of Graph Convolutional Neural Networks. - Saurabh Verma; Zhi-Li Zhang (KDD, 2019)

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. - Saurabh Agrawal 002; Saurabh Verma; Anuj Karpatne; Stefan Liess; Snigdhansu Chatterjee; Vipin Kumar 001 (CoRR, 2019)

Deep Universal Graph Embedding Neural Network. - Saurabh Verma; Zhi-Li Zhang (CoRR, 2019)

Mining latent patterns in geoMobile data via EPIC. - Arvind Narayanan; Saurabh Verma; Zhi-Li Zhang (World Wide Web, 2019)

Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput. - Arvind Narayanan; Eman Ramadan; Rishabh Mehta; Xinyue Hu; Qingxu Liu; Rostand A. K. Fezeu; Udhaya Kumar Dayalan; Saurabh Verma; Peiqi Ji; Tao Li; Feng Qian 001; Zhi-Li Zhang (Internet Measurement Conference, 2020)

TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook. - Nima Noorshams; Saurabh Verma; Aude Hofleitner (KDD, 2020)

Physics-Guided Deep Neural Networks for PowerFlow Analysis. - Xinyue Hu; Haoji Hu; Saurabh Verma; Zhi-Li Zhang (CoRR, 2020)

17th International Workshop on Mining and Learning with Graphs (MLG). - Shobeir Fakhraei; Tim Weninger; Neil Shah; Sami Abu-El-Haija; Saurabh Verma; Tara Safavi (KDD, 2022)

Algorithm Selection for Deep Active Learning with Imbalanced Datasets. - Jifan Zhang; Shuai Shao; Saurabh Verma; Robert D. Nowak (NeurIPS, 2023)

Bernstein super fractal interpolation function for countable data systems. - Subhash Chandra; Syed Abbas; Saurabh Verma (Numer. Algorithms, 2023)

Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models. - Hamid Eghbalzadeh; Shuai Shao; Saurabh Verma; Venugopal Mani; Hongnan Wang; Jigar Madia; Vitali Karpinchyk; Andrey Malevich (CoRR, 2024)

Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques. - Anusha Chhabra; Monika Arora; Arpit Sharma 006; Harsh Singh; Saurabh Verma; Rachna Jain; Biswaranjan Acharya; Vassilis C. Gerogiannis; Dimitrios Tzimos; Andreas Kanavos (Int. J. Artif. Intell. Tools, 2024)

Analysis of α-fractal functions without boundary point conditions on the Sierpiński gasket. - Gurubachan; V. V. M. S. Chandramouli; Saurabh Verma (Appl. Math. Comput., 2025)