Kuan Eeik Tan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Collaborative Filtering

Hyperspectral Image Classification

Personalized Recommendation

Nelder Mead Simplex

Top Venues

Eng. Appl. Artif. Intell.

Publications

Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez, Josep Domingo-Ferrer, Guillem Collell, Kuan Eeik Tan
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods. CoRR (2024)
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction. CoRR (2024)
Fadi Hassan, Wondimagegnhue Tufa, Guillem Collell, Piek Vossen, Lisa Beinborn, Adrian Flanagan, Kuan Eeik Tan
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task. SemEval@NAACL (2022)
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. Eng. Appl. Artif. Intell. 106 (2021)
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
A Payload Optimization Method for Federated Recommender Systems. RecSys (2021)
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
A Payload Optimization Method for Federated Recommender Systems. CoRR (2021)
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction. ISVC (1) (2021)
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan
Hyperspectral Image Classification via Pyramid Graph Reasoning. ISVC (1) (2020)
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions. CoRR (2020)
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification. CoRR (2020)
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) (2020)
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
Federated Multi-view Matrix Factorization for Personalized Recommendations. CoRR (2020)
Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. CoRR (2019)
Linas Laibinis, Benjamin Byholm, Inna Pereverzeva, Elena Troubitsyna, Kuan Eeik Tan, Ivan Porres
Integrating Event-B Modelling and Discrete-Event Simulation to Analyse Resilience of Data Stores in the Cloud. IFM (2014)