Kuan Eeik Tan

16 papers A 1B 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Anonymous Location-Based Advertising with Fine-Grained Statistics.
ICISSP (2)
Gizem Akman, Kuan Eeik Tan, Valtteri Niemi
2025 J jnl
Digital forgetting in large language models: a survey of unlearning methods.
Artif. Intell. Rev.
Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez, Josep Domingo-Ferrer, Guillem Collell, Kuan Eeik Tan
2024 J jnl
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods.
CoRR
Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez, Josep Domingo-Ferrer, Guillem Collell, Kuan Eeik Tan
2024 J jnl
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction.
CoRR
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan
2022 — conf
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task.
SemEval@NAACL
Fadi Hassan, Wondimagegnhue Tufa, Guillem Collell, Piek Vossen, Lisa Beinborn, Adrian Flanagan, Kuan Eeik Tan
2021 A conf
A Payload Optimization Method for Federated Recommender Systems.
RecSys
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
2021 J jnl
A Payload Optimization Method for Federated Recommender Systems.
CoRR
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
2021 J jnl
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions.
Eng. Appl. Artif. Intell.
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan
2021 — conf
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction.
ISVC (1)
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan
2020 J jnl
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions.
CoRR
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan
2020 — conf
Federated Multi-view Matrix Factorization for Personalized Recommendations.
ECML/PKDD (2)
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
2020 J jnl
Federated Multi-view Matrix Factorization for Personalized Recommendations.
CoRR
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
2020 — conf
Hyperspectral Image Classification via Pyramid Graph Reasoning.
ISVC (1)
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan
2020 J jnl
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification.
CoRR
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan
2019 J jnl
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System.
CoRR
Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan
2014 B conf
Integrating Event-B Modelling and Discrete-Event Simulation to Analyse Resilience of Data Stores in the Cloud.
IFM
Linas Laibinis, Benjamin Byholm, Inna Pereverzeva, Elena Troubitsyna, Kuan Eeik Tan, Ivan Porres