Sushant Kumar

Orcid: 0000-0002-8289-7194

According to our database1, Sushant Kumar authored at least 66 papers between 2008 and 2024.

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Bibliography

2024
Relation labeling in product knowledge graphs with large language models for e-commerce.
Int. J. Mach. Learn. Cybern., December, 2024

A new construction of almost-optimal multiple ZCZ sequence sets for multi-cell QS-CDMA system.
Cryptogr. Commun., May, 2024

Blind CFOs Estimation by Capon Method for Multi-User MIMO-OFDMA Uplink System.
IEEE Signal Process. Lett., 2024

Caged, helpless but not bored: consumption values derived from over-the-top platforms during pandemic.
Inf. Technol. People, 2024

Personalized diversification of complementary recommendations with user preference in online grocery.
Frontiers Big Data, 2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.
CoRR, 2024

Opportunities and Challenges in Data-Centric AI.
IEEE Access, 2024

Applications, Challenges, and Future Directions of Human-in-the-Loop Learning.
IEEE Access, 2024

Thread Detection and Response Generation Using Transformers with Prompt Optimisation.
Proceedings of the International Conference on Signal Processing and Communications, 2024

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Potential Impact of Data-Centric AI on Society.
IEEE Technol. Soc. Mag., September, 2023

Investigating the relationships between influencers and their followers: Moderator of human brand of influencer (HBI) phase.
Electron. Commer. Res. Appl., March, 2023

FAVOR: functional annotation of variants online resource and annotator for variation across the human genome.
Nucleic Acids Res., January, 2023

Seller-side Outcome Fairness in Online Marketplaces.
CoRR, 2023

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.
CoRR, 2023

Low-Loss, High Extinction Ratio Fiber to Chip Connection via Laser Fusion for Polarization Maintaining Fibers.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Recent Study of Machine Learning Based Techniques for the Detection of Cyber-Attacks on Web Applications.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Design and Testbed Implementation of Multiuser CFOs Estimation for MIMO SC-FDMA System.
IEEE Trans. Signal Process., 2022

Design and Testbed Implementation of Blind Parameter Estimated OFDM Receiver.
IEEE Trans. Instrum. Meas., 2022

Causal Structure Learning with Recommendation System.
CoRR, 2022

An Algorithmic Approach to Adapting Edge-based Devices for Autonomous Robotic Navigation.
EAI Endorsed Trans. Context aware Syst. Appl., 2022

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Design and Implementation of Blind Modulation Classification for Asynchronous MIMO-OFDM System.
IEEE Trans. Instrum. Meas., 2021

Impact of National Culture on E-Government Development: A Longitudinal Study.
J. Glob. Inf. Manag., 2021

Variational Inference for Category Recommendation in E-Commerce platforms.
CoRR, 2021

Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
Proceedings of the WSDM '21, 2021

Towards the D-Optimal Online Experiment Design for Recommender Selection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Blind CFO Estimation for Multi-user in SC-FDMA Uplink Systems Using Variance Minimization.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
Proceedings of the 9th International Conference on Learning Representations, 2021

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Event-based Product Carousel Recommendation with Query-Click Graph.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Multiple CFOs Estimation and Implementation of SC-FDMA Uplink System Using Oversampling and Iterative Method.
IEEE Trans. Veh. Technol., 2020

Blind Modulation Classification for Asynchronous OFDM Systems Over Unknown Signal Parameters and Channel Statistics.
IEEE Trans. Veh. Technol., 2020

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
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Nat., 2020

Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing.
Circuits Syst. Signal Process., 2020

On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs.
CoRR, 2020

Product Knowledge Graph Embedding for E-commerce.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Knowledge-aware Complementary Product Representation Learning.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Personalizing Item Recommendation via Price Understanding.
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Adversarial Counterfactual Learning and Evaluation for Recommender System.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Inductive representation learning on temporal graphs.
Proceedings of the 8th International Conference on Learning Representations, 2020

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Dual Role CDSC-Based Dual Vector Control for Effective Operation of DVR With Harmonic Mitigation.
IEEE Trans. Ind. Electron., 2019

Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.
CoRR, 2019

Blind Modulation Classification for OFDM in the Presence of Timing, Frequency, and Phase Offsets.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction.
Proceedings of the TENCON 2019, 2019

Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Self-attention with Functional Time Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Graph Convolutional Network for Growing Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2019

Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Robust Counterfactual Inferences using Feature Learning and their Applications.
CoRR, 2018

Multi-User CFOs Estimation for SC-FDMA System Over Frequency Selective Fading Channels.
IEEE Access, 2018

Impact and Mitigation of Electric Vehicle Plug-in on the PV fed DC-bus Charging Station.
Proceedings of the IECON 2018, 2018

2017
Automatic modulation classification by exploiting cyclostationary features in wavelet domain.
Proceedings of the Twenty-third National Conference on Communications, 2017

2016
Voice and touch control home automation.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Modified ACO to maintain diversity in regression test optimization.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Blind symbol rate estimation by exploiting cyclostationary features in wavelet domain.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015
Hand gesture recognition of English alphabets using artificial neural network.
Proceedings of the 2nd IEEE International Conference on Recent Trends in Information Systems, 2015

2009
IIT Kharagpur at TAC 2009: Statistical and Nugget-based Model for Automatic Summary Evaluation.
Proceedings of the Second Text Analysis Conference, 2009

2008
IIT Kharagpur at TAC 2008: Statistical Model for Opinion Summarization.
Proceedings of the First Text Analysis Conference, 2008


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