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Publication date Communities Collections Article title Author(s) Journal/Conference
3 Mar 2025 SERC Institute for Infocomm Research AI-Powered Revolution Zhi Hui Kong, Anusha James, Sezin Kircali Ata, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James, Kiat Seng Yeo IEEE Nanotechnology Magazine
16 Sep 2024 SERC Institute of Materials Research and Engineering Composition driven machine learning for unearthing high-strength lightweight multi-principal element alloys Mengxing Li, Xiu Kun Quek, Hongli Suo, Delvin Wuu, Jing Jun Lee, Wei Hock Teh, Fengxia Wei, Riko I. Made, Dennis Cheng Cheh Tan, Si Rong Ng, Siyuan Wei, Andre Kai Yuan Low, Kedar Hippalgaonkar, Yee-Fun Lim, Pei Wang, Chee Koon Ng Journal of Alloys and Compounds
27 Jul 2024 SERC Institute for Infocomm Research Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low International Conference on Machine Learning
13 May 2024 SERC Institute of Materials Research & Engineering Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs Andre K. Y. Low, Flore Mekki-Berrada, Abhishek Gupta, Aleksandr Ostudin, Jiaxun Xie, Eléonore Vissol-Gaudin, Yee-Fun Lim, Qianxiao Li, Yew Soon Ong, Saif A. Khan, Kedar Hippalgaonkar npj Computational Materials
11 May 2024 SERC Institute for Infocomm Research A Unified Framework for Bayesian Optimization under Contextual Uncertainty Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low International Conference on Learning Representations
10 Dec 2023 SERC Institute for Infocomm Research Bayesian Optimization with Cost-varying Variable Subsets Sebastian Shenghong Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Chiu Xian Leong, Bryan Kian Hsiang Low Conference on Neural Information Processing Systems
20 Aug 2023 SERC Institute for Infocomm Research No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
15 Sep 2022 SERC Institute for Infocomm Research Bayesian optimization techniques for high-dimensional simulation-based transportation problems Timothy Tay, Carolina Osorio Transportation Research Part B: Methodological
23 Jul 2022 SERC Institute for Infocomm Research Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low International Conference on Machine Learning
10 Jun 2022 SERC Institute of High Performance Computing  Co-Learning Bayesian Optimization Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu IEEE Transactions on Cybernetics