367 citations · 1.3k across the 62 of their papers we have counts for
4 papers · 1 filter
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method
Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi +2
In this study, novel physics-informed neural network (PINN) methods for coupling neighboring support points and their derivative terms which are obtained by automatic differentiati…
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding
Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
Current one-stage methods for visual grounding encode the language query as one holistic sentence embedding before fusion with visual feature. Such a formulation does not treat eac…
RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
Alvin Chan, Anna Korsakova, Yew-Soon Ong +3
A single gene can encode for different protein versions through a process called alternative splicing. Since proteins play major roles in cellular functions, aberrant splicing prof…
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
This paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the res…