Integrating Event-B Modelling and Discrete-Event Simulation to Analyse Resilience of Data Stores in the Cloud. - Linas Laibinis; Benjamin Byholm; Inna Pereverzeva; Elena Troubitsyna; Kuan Eeik Tan; Ivan Porres (IFM, 2014)

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. - Muhammad Ammad-ud-din; Elena Ivannikova; Suleiman A. Khan; Were Oyomno; Qiang Fu; Kuan Eeik Tan; Adrian Flanagan (CoRR, 2019)

Hyperspectral Image Classification via Pyramid Graph Reasoning. - Tinghuai Wang; Guangming Wang; Kuan Eeik Tan; Donghui Tan (ISVC (1), 2020)

Federated Multi-view Matrix Factorization for Personalized Recommendations. - Adrian Flanagan; Were Oyomno; Alexander Grigorievskiy; Kuan Eeik Tan; Suleiman A. Khan; Muhammad Ammad-ud-din (ECML/PKDD (2), 2020)

Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification. - Tinghuai Wang; Guangming Wang; Kuan Eeik Tan; Donghui Tan (CoRR, 2020)

Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction. - Tinghuai Wang; Guangming Wang; Kuan Eeik Tan (ISVC (1), 2021)

A Payload Optimization Method for Federated Recommender Systems. - Farwa K. Khan; Adrian Flanagan; Kuan Eeik Tan; Zareen Alamgir; Muhammad Ammad-ud-din (RecSys, 2021)

Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. - Alberto Blanco-Justicia; Josep Domingo-Ferrer; Sergio Martínez; David Sánchez 001; Adrian Flanagan; Kuan Eeik Tan (Eng. Appl. Artif. Intell., 2021)

SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task. - Fadi Hassan; Wondimagegnhue Tufa; Guillem Collell; Piek Vossen; Lisa Beinborn; Adrian Flanagan; Kuan Eeik Tan (SemEval@NAACL, 2022)

Digital forgetting in large language models: a survey of unlearning methods. - Alberto Blanco-Justicia; Najeeb Jebreel; Benet Manzanares-Salor; David Sánchez 001; Josep Domingo-Ferrer; Guillem Collell; Kuan Eeik Tan (Artif. Intell. Rev., 2025)