Chin Chun Ooi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Network Architecture

Weather Prediction

Qualitative Physics

Top Venues

IEEE Trans. Artif. Intell.

Publications

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) (2024)
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 (2024)
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 (2023)
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)
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 (2023)
Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
FastFlow: AI for Fast Urban Wind Velocity Prediction. ICDM (Workshops) (2022)
Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
Design of Turing Systems with Physics-Informed Neural Networks. CoRR (2022)
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)
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 (2022)
Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
Design of Turing Systems with Physics-Informed Neural Networks. SSCI (2022)
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)
Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
FastFlow: AI for Fast Urban Wind Velocity Prediction. CoRR (2022)
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)
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)
Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI (2022)
Quang Tuyen Le, Chin Chun Ooi
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture. CoRR (2021)
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 (2021)