Chin Chun Ooi - RankMe

35 papers A* 1B 1C 2Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Computational Fluid Dynamics Algorithm and Physics-Informed Learning: SIMPLE-PINN for Incompressible Navier-Stokes Equations. CoRR Chang Wei, Yuchen Fan, Chin Chun Ooi, Jian Cheng Wong, Heyang Wang, Pao-Hsiung Chiu
2026	J	`jnl`	Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities. IEEE Comput. Intell. Mag. Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2026	J	`jnl`	FFV-PINN: A Fast Physics-Informed Neural Network with Simplified Finite Volume Discretization and Residual Correction. CoRR Chang Wei, Yuchen Fan, Jian Cheng Wong, Chin Chun Ooi, Heyang Wang, Pao-Hsiung Chiu
2026	J	`jnl`	Out-of-Distribution Generalization for Neural Physics Solvers. CoRR Zhao Wei, Chin Chun Ooi, Jian Cheng Wong, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2026	J	`jnl`	Physics-Informed Uncertainty Enables Reliable AI-driven Design. CoRR Tingkai Xue, Chin Chun Ooi, Yang Jiang, Pham Luu Trung Duong, Pao-Hsiung Chiu, Weijiang Zhao, Nagarajan Raghavan, My Ha Dao
2026	J	`jnl`	Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction. CoRR Pao-Hsiung Chiu, Jian Cheng Wong, Chin Chun Ooi, Chang Wei, Yuchen Fan, Yew-Soon Ong
2026	J	`jnl`	Scenario-based daily risk assessment for indoor airborne transmission with coupled agent-based and computational fluid dynamics models. J. Comput. Sci. Wenyue Ma, Jaeyoung Kwak, Boon Leng Ang, Chin Chun Ooi, Zhengwei Ge, Hongying Li, Michael H. Lees, Wentong Cai
2025	J	`jnl`	A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search. CoRR Zhao Wei, Chin Chun Ooi, Yew-Soon Ong
2025	J	`jnl`	A continuous encoding-based representation for efficient multi-fidelity multi-objective neural architecture search. Appl. Soft Comput. Zhao Wei, Chin Chun Ooi, Yew-Soon Ong
2025	J	`jnl`	CompARE: A Computational framework for Airborne Respiratory disease Evaluation integrating flow physics and human behavior. CoRR Fong Yew Leong, Jaeyoung Kwak, Zhengwei Ge, Chin Chun Ooi, Siew-Wai Fong, Matthew Zirui Tay, Hua Qian, Chang Wei Kang, Wentong Cai, Hongying Li
2025	J	`jnl`	Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations. CoRR Tingkai Xue, Chin Chun Ooi, Zhengwei Ge, Fong Yew Leong, Hongying Li, Chang Wei Kang
2025	—	`conf`	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-Based Model and Computational Fluid Dynamics. ICCS (1) Boon Leng Ang, Jaeyoung Kwak, Chin Chun Ooi, Zhengwei Ge, Hongying Li, Michael H. Lees, Wentong Cai
2025	A*	`conf`	Evolvable Conditional Diffusion. IJCAI Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025	J	`jnl`	Evolvable Conditional Diffusion. CoRR Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025	J	`jnl`	Parametric Expensive Multi-Objective Optimization via Generative Solution Modeling. CoRR Tingyang Wei, Jiao Liu, Abhishek Gupta, Chin Chun Ooi, Puay Siew Tan, Yew-Soon Ong
2025	J	`jnl`	Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. CoRR Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2024	B	`conf`	Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. IJCNN Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao
2024	J	`jnl`	Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
2024	J	`jnl`	Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR 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
2024	—	`conf`	Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery. CAI Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi
2023	J	`jnl`	Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
2023	J	`jnl`	Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
2023	—	`conf`	Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2022	C	`conf`	Automated Quantification of Traffic Particulate Emissions via an Image Analysis Pipeline. ICARCV Kong Yuan Ho, Chin Seng Lim, Matthena A. Kattar, Bharathi Boppana, Liya Yu, Chin Chun Ooi
2022	J	`jnl`	Automated Quantification of Traffic Particulate Emissions via an Image Analysis Pipeline. CoRR Kong Yuan Ho, Chin Seng Lim, Matthena A. Kattar, Bharathi Boppana, Liya Yu, Chin Chun Ooi
2022	C	`conf`	Day-Ahead Forecasting for the Tropics with Numerical Weather Prediction and Machine Learning. ICARCV Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi
2022	—	`conf`	Design of Turing Systems with Physics-Informed Neural Networks. SSCI Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
2022	J	`jnl`	Design of Turing Systems with Physics-Informed Neural Networks. CoRR Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
2022	—	`conf`	FastFlow: AI for Fast Urban Wind Velocity Prediction. ICDM (Workshops) Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi
2022	J	`jnl`	FastFlow: AI for Fast Urban Wind Velocity Prediction. CoRR Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi
2022	—	`conf`	Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. SSCI Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
2022	—	`conf`	Physics Compliance as a Metric for Neural Network Uncertainty. SSCI Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi
2022	—	`conf`	Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong
2021	J	`jnl`	Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics. CoRR Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi
2021	J	`jnl`	Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture. CoRR Quang Tuyen Le, Chin Chun Ooi