Yin Jun Phua

Orcid: 0000-0003-1178-8238

According to our database1, Yin Jun Phua authored at least 8 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Future-proofing class-incremental learning.
Mach. Vis. Appl., January, 2025

2024
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Variable Assignment Invariant Neural Networks for Learning Logic Programs.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

2019
Learning Representation of Relational Dynamics with Delays and Refining with Prior Knowledge.
FLAP, 2019

Learning Logic Programs from Noisy State Transition Data.
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

2017
Learning Logic Program Representation for Delayed Systems With Limited Training Data.
Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017


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