Chin Chun Ooi

According to our database, Chin Chun Ooi authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

2024

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks.

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong

IEEE Trans. Artif. Intell., March, 2024

2023

Generalizable Neural Physics Solvers by Baldwinian Evolution.

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong

CoRR, 2023

LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry.

Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong

Proceedings of the International Joint Conference on Neural Networks, 2023

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.

Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results.

Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong

CoRR, 2022

Robustness of Physics-Informed Neural Networks to Noise in Sensor Data.

Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da

CoRR, 2022

Physics Compliance as a Metric for Neural Network Uncertainty.

Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design.

Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Design of Turing Systems with Physics-Informed Neural Networks.

Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates.

Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

FastFlow: AI for Fast Urban Wind Velocity Prediction.

Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning.

Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi

Proceedings of the 17th International Conference on Control, 2022

Automated Quantification of Traffic Particulate Emissions via an Image Analysis Pipeline.

Kong Yuan Ho, Chin Seng Lim, Matthena A. Kattar, Bharathi Boppana, Liya Yu, Chin Chun Ooi

Proceedings of the 17th International Conference on Control, 2022

2021

Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics.

Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi

CoRR, 2021

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method.

Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong

CoRR, 2021

U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels.

Quang Tuyen Le, Pao-Hsiung Chiu, Chinchun Ooi

CoRR, 2021

Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture.

Quang Tuyen Le, Chin Chun Ooi

CoRR, 2021

Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks.

Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao

CoRR, 2021