Face clustering in videos: GMM-based hierarchical clustering using Spatio-Temporal data. - Subhradeep Kayal (UKCI, 2013)

Improved Hierarchical Clustering for Face Images in Videos: Integrating positional and temporal information with HAC. - Subhradeep Kayal (ICMR, 2014)

Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models. - Subhradeep Kayal; Zubair Afzal; George Tsatsaronis 001; Sophia Katrenko; Pascal Coupet; Marius A. Doornenbal; Michelle Gregory (BioNLP, 2017)

Unsupervised image segmentation using the Deffuant-Weisbuch model from social dynamics. - Subhradeep Kayal (Signal Image Video Process., 2017)

A Framework to Automatically Extract Funding Information from Text. - Subhradeep Kayal; Zubair Afzal; George Tsatsaronis 001; Marius A. Doornenbal; Sophia Katrenko; Michelle Gregory (LOD, 2018)

EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition. - Subhradeep Kayal; George Tsatsaronis 001 (ACL (1), 2019)

The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest. - Minh Le; Subhradeep Kayal; Andrew Douglas (ImpactRS@RecSys, 2019)

Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. - Subhradeep Kayal; Florian Dubost; Harm A. W. M. Tiddens; Marleen de Bruijne (ISBI, 2020)

Region-of-Interest Guided Supervoxel Inpainting for Self-supervision. - Subhradeep Kayal; Shuai Chen; Marleen de Bruijne (MICCAI (1), 2020)

Unsupervised Sentence-embeddings by Manifold Approximation and Projection. - Subhradeep Kayal (EACL, 2021)

Revisiting Edge Detection in Convolutional Neural Networks. - Minh Le; Subhradeep Kayal (IJCNN, 2021)

Aspect-Based Sentiment Analysis of Social Media Data With Pre-Trained Language Models. - Anina Troya; Reshmi Gopalakrishna Pillai; Cristian Rodriguez Rivero; Zulkuf Genc; Subhradeep Kayal; Dogu Araci (NLPIR, 2021)

Reading Comprehension Quiz Generation using Generative Pre-trained Transformers. - Ramon Dijkstra; Zülküf Genç; Subhradeep Kayal; Jaap Kamps (iTextbooks@AIED, 2022)

A Framework for Auditing Multilevel Models using Explainability Methods. - Debarati Bhaumik; Diptish Dey; Subhradeep Kayal (CoRR, 2022)

Source Identification: A Self-Supervision Task for Dense Prediction. - Shuai Chen; Subhradeep Kayal; Marleen de Bruijne (CoRR, 2023)

How Far Is Too Far? Studying the Effects of Domain Discrepancy on Masked Language Models. - Subhradeep Kayal; Alexander Rakhlin; Ali Dashti; Serguei Stepaniants (LREC/COLING, 2024)

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants. - Zheng Zhao 005; Clara Vania; Subhradeep Kayal; Naila Khan; Shay B. Cohen; Emine Yilmaz (ACL (Findings), 2025)

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies. - Piotr Piekos; Subhradeep Kayal; Alexandros Karatzoglou (CoRR, 2025)