Yin Jun Phua

According to our database, Yin Jun Phua authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise.

Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

CoRR, 2024

Future-Proofing Class Incremental Learning.

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

CoRR, 2024

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise.

Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Class-Incremental Learning using Diffusion Model for Distillation and Replay.

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance.

Yin Jun Phua, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

2019

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

Yin Jun Phua, Tony Ribeiro, Katsumi Inoue

FLAP, 2019

Learning Logic Programs from Noisy State Transition Data.

Yin Jun Phua, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

2017

Learning Logic Program Representation for Delayed Systems With Limited Training Data.

Yin Jun Phua, Tony Ribeiro, Sophie Tourret, Katsumi Inoue

Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017