Collaborative Machine Learning with Incentive-Aware Model Rewards. - Rachael Hwee Ling Sim; Yehong Zhang; Mun Choon Chan; Bryan Kian Hsiang Low (ICML, 2020)

Collaborative Bayesian Optimization with Fair Regret. - Rachael Hwee Ling Sim; Yehong Zhang; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2021)

Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges. - Rachael Hwee Ling Sim; Xinyi Xu; Bryan Kian Hsiang Low (IJCAI, 2022)

Probably Approximate Shapley Fairness with Applications in Machine Learning. - Zijian Zhou; Xinyi Xu; Rachael Hwee Ling Sim; Chuan Sheng Foo; Bryan Kian Hsiang Low (AAAI, 2023)

Incentives in Private Collaborative Machine Learning. - Rachael Hwee Ling Sim; Yehong Zhang; Nghia Hoang; Xinyi Xu; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2023)

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning. - Xiao Tian; Rachael Hwee Ling Sim; Jue Fan; Bryan Kian Hsiang Low (AAAI, 2024)

Position Paper: Data-Centric AI in the Age of Large Language Models. - Xinyi Xu; Zhaoxuan Wu; Rui Qiao 006; Arun Verma; Yao Shu; Jingtan Wang 001; Xinyuan Niu 001; Zhenfeng He; Jiangwei Chen 001; Zijian Zhou; Gregory Kang Ruey Lau; Hieu Dao; et al. (EMNLP (Findings), 2024)

Deletion-Anticipative Data Selection with a Limited Budget. - Rachael Hwee Ling Sim; Jue Fan; Xiao Tian; Patrick Jaillet; Bryan Kian Hsiang Low (ICML, 2024)

Incentives in Private Collaborative Machine Learning. - Rachael Hwee Ling Sim; Yehong Zhang; Trong Nghia Hoang; Xinyi Xu; Bryan Kian Hsiang Low; Patrick Jaillet (CoRR, 2024)

Data-Centric AI in the Age of Large Language Models. - Xinyi Xu; Zhaoxuan Wu; Rui Qiao 006; Arun Verma; Yao Shu; Jingtan Wang 001; Xinyuan Niu 001; Zhenfeng He; Jiangwei Chen 001; Zijian Zhou; Gregory Kang Ruey Lau; Hieu Dao; et al. (CoRR, 2024)

DUPRE: Data Utility Prediction for Efficient Data Valuation. - Kieu Thao Nguyen Pham; Rachael Hwee Ling Sim; Quoc Phong Nguyen; See-Kiong Ng; Bryan Kian Hsiang Low (AAMAS, 2025)

WaterDrum: Watermarking for Data-centric Unlearning Metric. - Xinyang Lu; Xinyuan Niu 001; Gregory Kang Ruey Lau; Bui Thi Cam Nhung; Rachael Hwee Ling Sim; Fanyu Wen; Chuan-Sheng Foo; See-Kiong Ng; Bryan Kian Hsiang Low (CoRR, 2025)