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Publication date Communities Collections Article title Author(s) Journal/Conference
16 Nov 2024 SERC Institute for Infocomm Research Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low Conference on Empirical Methods in Natural Language Processing
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
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
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
20 Aug 2023 SERC Institute for Infocomm Research FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
27 Jun 2023 SERC Institute for Infocomm Research Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low Proceedings of the AAAI Conference on Artificial Intelligence
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
22 Feb 2022 SERC Institute for Infocomm Research Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low 36th AAAI Conference on Artificial Intelligence
14 Dec 2021 SERC Institute for Infocomm Research Validation free and replication robust volume-based data valuation Xinyi Xu, Zhaoxuan Wu, Chuan Sheng Foo, Bryan Kian Hsiang Low Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
14 Dec 2021 SERC Institute for Infocomm Research Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low Advances in Neural Information Processing Systems 34 (NeurIPS 2021)