Reversible Watermarking Using Priority Embedding through Repeated Application of Integer Wavelet Transform. - Sambaran Bandyopadhyay; Ruchira Naskar; Rajat Subhra Chakraborty (InfoSecHiComNet, 2011)

Individual and Aggregate Electrical Load Forecasting: One for All and All for One. - Sambaran Bandyopadhyay; Tanuja Ganu; Harshad Khadilkar; Vijay Arya (e-Energy, 2015)

Aggregate Demand-Based Real-Time Pricing Mechanism for the Smart Grid: A Game-Theoretic Analysis. - Sambaran Bandyopadhyay; Ramasuri Narayanam; Ramachandra Kota; Pg Mohammad Iskandarbin Pg Hj Petra; Zainul Charbiwala (IJCAI, 2015)

Voltage Correlations in Smart Meter Data. - Rajendu Mitra; Ramachandra Kota; Sambaran Bandyopadhyay; Vijay Arya; Brian Sullivan; Richard Mueller; Heather Storey; Gerard Labut (KDD, 2015)

Machine learning for inferring phase connectivity in distribution networks. - Sambaran Bandyopadhyay; Ramachandra Kota; Rajendu Mitra; Vijay Arya; Brian Sullivan; Richard Mueller; Heather Storey; Gerard Labut (SmartGridComm, 2015)

An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid. - Sambaran Bandyopadhyay; Ramasuri Narayanam; Pratyush Kumar; Sarvapali D. Ramchurn; Vijay Arya; Iskandarbin Petra (AAAI, 2016)

Planning Curtailment of Renewable Generation in Power Grids. - Sambaran Bandyopadhyay; Pratyush Kumar; Vijay Arya (ICAPS, 2016)

Supply scheduling and usage-based pricing for shared storage in adaptive dynamic islanding. - Anamitra Roy Choudhury; Ramachandra Kota; Sampath Dechu; Sambaran Bandyopadhyay (e-Energy, 2016)

Axioms to characterize efficient incremental clustering. - Sambaran Bandyopadhyay; M. Narasimha Murty (ICPR, 2016)

PV Potential in Oil & Sun Rich Nations: An Experimental Case Study from Brunei. - Sambaran Bandyopadhyay; Kalyan Dasgupta; Vijay Arya; Sathyajith Mathew; Iskandarbin Petra; A. Alias (e-Energy, 2017)

Energy-Efficiency Potential of Behavioral Initiatives: An Experimental Case Study from Brunei. - Sambaran Bandyopadhyay; Kalyan Dasgupta; Vijay Arya; Sathyajith Mathew; Iskandarbin Petra; A. Alias (e-Energy, 2017)

Algorithm to Control Power Production from Solar Panels. - Kumar Saurav; Sambaran Bandyopadhyay; Pratyush Kumar; Vijay Arya (e-Energy, 2017)

A Generic Axiomatic Characterization of Centrality Measures in Social Network. - Sambaran Bandyopadhyay; M. Narasimha Murty; Ramasuri Narayanam (CoRR, 2017)

Reducing Energy Consumption for Space Heating by Changing Zone Temperature: Pilot Trial in Luleå, Sweden. - Kumar Saurav; Mohit Jain; Sambaran Bandyopadhyay (e-Energy, 2018)

DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups. - Sambaran Bandyopadhyay; Sharad Nandanwar; Rishabh Deshmukh; Narasimha Murty Musti (ICPR, 2018)

A Generic Axiomatic Characterization for Measuring Influence in Social Networks. - Sambaran Bandyopadhyay; Ramasuri Narayanam; M. Narasimha Murty (ICPR, 2018)

A machine learning based heating and cooling load forecasting approach for DHC networks. - Sambaran Bandyopadhyay; Jagabondhu Hazra; Shivkumar Kalyanaraman (ISGT, 2018)

Algorithm to control power production from solar photovoltaic panels. - Kumar Saurav; Sambaran Bandyopadhyay; Pratyush Kumar; Vijay Arya (ISGT, 2018)

FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks. - Sambaran Bandyopadhyay; Harsh Kara; Aswin Kannan; M. Narasimha Murty (CoRR, 2018)

SaC2Vec: Information Network Representation with Structure and Content. - Sambaran Bandyopadhyay; Harsh Kara; Anirban Biswas; M. Narasimha Murty (CoRR, 2018)

Outlier Aware Network Embedding for Attributed Networks. - Sambaran Bandyopadhyay; Lokesh Nagalapatti; M. Narasimha Murty (AAAI, 2019)

Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks. - Sambaran Bandyopadhyay; Anirban Biswas; M. Narasimha Murty; Ramasuri Narayanam (CoRR, 2019)

Self-supervised Hierarchical Graph Neural Network for Graph Representation. - Sambaran Bandyopadhyay; Manasvi Aggarwal; M. Narasimha Murty (IEEE BigData, 2020)

Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion. - Sambaran Bandyopadhyay; Kishalay Das; M. Narasimha Murty (IEEE BigData, 2020)

A Multilayered Informative Random Walk for Attributed Social Network Embedding. - Sambaran Bandyopadhyay; Anirban Biswas; Harsh Kara; M. N. Murty (ECAI, 2020)

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. - Sambaran Bandyopadhyay; Saley Vishal Vivek; M. Narasimha Murty (ECAI, 2020)

Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. - Sambaran Bandyopadhyay; Lokesh N; Saley Vishal Vivek; M. Narasimha Murty (WSDM, 2020)

Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs. - Sambaran Bandyopadhyay; Kishalay Das; M. Narasimha Murty (CoRR, 2020)

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization. - Sambaran Bandyopadhyay; Manasvi Aggarwal; M. Narasimha Murty (CoRR, 2020)

Robust Hierarchical Graph Classification with Subgraph Attention. - Sambaran Bandyopadhyay; Manasvi Aggarwal; M. Narasimha Murty (CoRR, 2020)

Self-Expressive Graph Neural Network for Unsupervised Community Detection. - Sambaran Bandyopadhyay; Vishal Peter (CoRR, 2020)

Semi-supervised Soil Moisture Prediction through Graph Neural Networks. - Anoushka Vyas; Sambaran Bandyopadhyay (CoRR, 2020)

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. - Utkarsh Desai; Sambaran Bandyopadhyay; Srikanth Tamilselvam (AAAI, 2021)

Data Quality for Machine Learning Tasks. - Nitin Gupta 005; Shashank Mujumdar; Hima Patel; Satoshi Masuda; Naveen Panwar; Sambaran Bandyopadhyay; Sameep Mehta; Shanmukha C. Guttula; Shazia Afzal; Ruhi Sharma Mittal; Vitobha Munigala (KDD, 2021)

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. - Sambaran Bandyopadhyay; Manasvi Aggarwal; M. Narasimha Murty (PAKDD (1), 2021)

1st International Workshop on Data Assessment and Readiness for AI. - Bortik Bandyopadhyay; Sambaran Bandyopadhyay; Srikanta Bedathur; Nitin Gupta 005; Sameep Mehta; Shashank Mujumdar; Srinivasan Parthasarathy 001; Hima Patel (PAKDD (Workshops), 2021)

Unsupervised constrained community detection via self-expressive graph neural network. - Sambaran Bandyopadhyay; Vishal Peter (UAI, 2021)

Monolith to Microservices: Representing Application Software through Heterogeneous GNN. - Alex Mathai; Sambaran Bandyopadhyay; Utkarsh Desai; Srikanth Tamilselvam (CoRR, 2021)

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. - Alex Mathai; Sambaran Bandyopadhyay; Utkarsh Desai; Srikanth Tamilselvam (IJCAI, 2022)

Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture. - Anoushka Vyas; Sambaran Bandyopadhyay (IJCAI, 2022)

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. - Chandan K. Reddy; Lluís Màrquez; Fran Valero; Nikhil Rao 001; Hugo Zaragoza; Sambaran Bandyopadhyay; Arnab Biswas; Anlu Xing; Karthik Subbian (CoRR, 2022)

A framework to preserve distance-based graph properties in network embedding. - Shweta Garg 002; Ramasuri Narayanam; Sambaran Bandyopadhyay (Soc. Netw. Anal. Min., 2022)

Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents. - Ishani Mondal; Shwetha S; Anandhavelu Natarajan; Aparna Garimella; Sambaran Bandyopadhyay; Jordan L. Boyd-Graber (EACL (1), 2024)

Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution. - Himanshu Maheshwari; Sambaran Bandyopadhyay; Aparna Garimella; Anandhavelu Natarajan (EMNLP (Findings), 2024)

Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text. - Pritika Ramu; Aparna Garimella; Sambaran Bandyopadhyay (EMNLP, 2024)

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach. - Sambaran Bandyopadhyay; Himanshu Maheshwari; Anandhavelu Natarajan; Apoorv Saxena (INLG, 2024)

Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution. - Himanshu Maheshwari; Sambaran Bandyopadhyay; Aparna Garimella; Anandhavelu Natarajan (CoRR, 2024)

PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization. - Vijay Jaisankar; Sambaran Bandyopadhyay; Kalp Vyas; Varre Chaitanya; Shwetha Somasundaram (CoRR, 2024)

Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document. - Vijay Jaisankar; Sambaran Bandyopadhyay; Kalp Vyas; Varre Suman Chaitanya; Shwetha Somasundaram (AAAI, 2025)

Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution. - Abhilash Nandy; Sambaran Bandyopadhyay (AAAI, 2025)

Infogen: Generating Complex Statistical Infographics from Documents. - Akash Ghosh; Aparna Garimella; Pritika Ramu; Sambaran Bandyopadhyay; Sriparna Saha 001 (ACL (1), 2025)

Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback. - Ananth Muppidi; Tarak Das; Sambaran Bandyopadhyay; Tripti Shukla; Dharun D. A (CoRR, 2025)

Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs. - Ananth Muppidi; Abhilash Nandy; Sambaran Bandyopadhyay (CoRR, 2025)