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2020 – today
- 2024
[i7]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 abs/2404.02062 (2024)- [i6]Tinghuai Wang, Guangming Wang, Kuan Eeik Tan:
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction. CoRR abs/2407.02639 (2024) - 2022
- [c6]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: 1583-1592 - 2021
- [j1]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: 104468 (2021) - [c5]Tinghuai Wang, Guangming Wang, Kuan Eeik Tan:
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction. ISVC (1) 2021: 144-156 - [c4]Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din:
A Payload Optimization Method for Federated Recommender Systems. RecSys 2021: 432-442 - [i5]Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din:
A Payload Optimization Method for Federated Recommender Systems. CoRR abs/2107.13078 (2021) - 2020
- [c3]Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan:
Hyperspectral Image Classification via Pyramid Graph Reasoning. ISVC (1) 2020: 707-718 - [c2]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: 324-347 - [i4]Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan:
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification. CoRR abs/2001.07108 (2020) - [i3]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 abs/2004.04256 (2020) - [i2]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 abs/2012.06810 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1901.09888 (2019) - 2014
- [c1]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: 103-119
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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