Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. - Jian Cheng Wong; Chinchun Ooi; Pao-Hsiung Chiu; My Ha Dao (CoRR, 2021)

Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture. - Quang Tuyen Le; Chin Chun Ooi (CoRR, 2021)

U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels. - Quang Tuyen Le; Pao-Hsiung Chiu; Chinchun 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)

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)

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 (ICARCV, 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 (ICARCV, 2022)

FastFlow: AI for Fast Urban Wind Velocity Prediction. - Shi Jer Low; Venugopalan S. G. Raghavan; Harish Gopalan; Jian Cheng Wong; Justin K. W. Yeoh; Chin Chun Ooi (ICDM (Workshops), 2022)

Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. - Abhishek Gupta 001; Ray Lim; Chin Chun Ooi; Yew-Soon Ong (SSCI, 2022)

Design of Turing Systems with Physics-Informed Neural Networks. - Jordon Kho; Winston Koh; Jian Cheng Wong; Pao-Hsiung Chiu; Chin Chun Ooi (SSCI, 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 (SSCI, 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 (SSCI, 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)

JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. - Nicholas Wei Yong Sung; Jian Cheng Wong; Pao-Hsiung Chiu; Abhishek Gupta 001; Chinchun Ooi; Yew-Soon Ong (CoRR, 2022)

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. - Nicholas Sung; Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Yew-Soon Ong (GECCO Companion, 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 (IJCNN, 2023)

Generalizable Neural Physics Solvers by Baldwinian Evolution. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Joshua Shao Zheng Low; My Ha Dao; Yew-Soon Ong (CoRR, 2023)

Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. - Chin Chun Ooi; Anran Huang; Zhao Wei; Shiyao Qin; Jian Cheng Wong; Pao-Hsiung Chiu; My Ha Dao (IJCNN, 2024)

Tailoring Generative Adversarial Networks for Smooth Airfoil Design. - 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 026 (CoRR, 2024)

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Artif. Intell., 2024)

Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-Based Model and Computational Fluid Dynamics. - Boon Leng Ang; Jaeyoung Kwak; Chin Chun Ooi; Zhengwei Ge; Hongying Li; Michael H. Lees; Wentong Cai 001 (ICCS (1), 2025)

Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. - Jian Cheng Wong; Abhishek Gupta 001; Chin Chun Ooi; Pao-Hsiung Chiu; Jiao Liu; Yew-Soon Ong (CoRR, 2025)

ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence. - Jiao Liu; Abhishek Gupta 001; Chinchun Ooi; Yew-Soon Ong (IEEE Trans. Evol. Comput., 2025)

Evolvable Conditional Diffusion. - Zhao Wei; Chin Chun Ooi; Abhishek Gupta 001; Jian Cheng Wong; Pao-Hsiung Chiu; Sheares Xue Wen Toh; Yew-Soon Ong (CoRR, 2025)