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2020 – today
- 2024
[j1]Jian Cheng Wong
, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5(3): 985-1000 (2024)- [c10]Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao:
Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. IJCNN 2024: 1-8 - [i15]Joyjit Chattoraj, Jian Cheng Wong, Zhang Zexuan, Manna Dai, Yingzhi Xia, Li Jichao, Xinxing Xu, Chin Chun Ooi, Yang Feng, My Ha Dao, Yong Liu:
Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR abs/2404.11816 (2024) - 2023
- [c9]Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong:
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion 2023: 2144-2151 - [c8]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN 2023: 1-10 - [i14]Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao:
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR abs/2302.00557 (2023) - [i13]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR abs/2302.01518 (2023) - [i12]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong:
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR abs/2312.03243 (2023) - 2022
- [c7]Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi:
Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning. ICARCV 2022: 125-130 - [c6]Kong Yuan Ho, Chin Seng Lim, Matthena A. Kattar, Bharathi Boppana, Liya Yu, Chin Chun Ooi:
Automated Quantification of Traffic Particulate Emissions via an Image Analysis Pipeline. ICARCV 2022: 137-142 - [c5]Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi:
FastFlow: AI for Fast Urban Wind Velocity Prediction. ICDM (Workshops) 2022: 147-154 - [c4]Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi:
Physics Compliance as a Metric for Neural Network Uncertainty. SSCI 2022: 1-7 - [c3]Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi:
Design of Turing Systems with Physics-Informed Neural Networks. SSCI 2022: 1180-1186 - [c2]Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao:
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. SSCI 2022: 1469-1475 - [c1]Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong:
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI 2022: 1669-1674 - [i11]Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi:
FastFlow: AI for Fast Urban Wind Velocity Prediction. CoRR abs/2211.12035 (2022) - [i10]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da:
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data. CoRR abs/2211.12042 (2022) - [i9]Kong Yuan Ho, Chin Seng Lim, Matthena A. Kattar, Bharathi Boppana, Liya Yu, Chin Chun Ooi:
Automated Quantification of Traffic Particulate Emissions via an Image Analysis Pipeline. CoRR abs/2211.13455 (2022) - [i8]Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi:
Design of Turing Systems with Physics-Informed Neural Networks. CoRR abs/2211.13464 (2022) - [i7]Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong:
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR abs/2212.07624 (2022) - 2021
- [i6]Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao:
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. CoRR abs/2105.01838 (2021) - [i5]Quang Tuyen Le, Chin Chun Ooi:
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture. CoRR abs/2105.03854 (2021) - [i4]Quang Tuyen Le, Pao-Hsiung Chiu, Chinchun Ooi:
U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels. CoRR abs/2105.05173 (2021) - [i3]Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR abs/2109.09338 (2021) - [i2]Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR abs/2110.15832 (2021) - [i1]Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi:
Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics. CoRR abs/2112.04963 (2021)
Coauthor Index
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