Validation Free and Replication Robust Volume-based Data Valuation. - Xinyi Xu; Zhaoxuan Wu; Chuan Sheng Foo; Bryan Kian Hsiang Low (NeurIPS, 2021)

Trusted-maximizers entropy search for efficient Bayesian optimization. - Quoc Phong Nguyen; Zhaoxuan Wu; Bryan Kian Hsiang Low; Patrick Jaillet (UAI, 2021)

DAVINZ: Data Valuation using Deep Neural Networks at Initialization. - Zhaoxuan Wu; Yao Shu; Bryan Kian Hsiang Low (ICML, 2022)

Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. - Yao Shu; Zhongxiang Dai; Zhaoxuan Wu; Bryan Kian Hsiang Low (NeurIPS, 2022)

FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. - Xinyi Xu; Zhaoxuan Wu; Arun Verma; Chuan Sheng Foo; Bryan Kian Hsiang Low (AISTATS, 2023)

Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. - Xiaoqiang Lin; Zhaoxuan Wu; Zhongxiang Dai; Wenyang Hu; Yao Shu; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (CoRR, 2023)

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)

Incentive-Aware Federated Learning with Training-Time Model Rewards. - Zhaoxuan Wu; Mohammad Mohammadi Amiri; Ramesh Raskar; Bryan Kian Hsiang Low (ICLR, 2024)

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. - Xiaoqiang Lin; Zhaoxuan Wu; Zhongxiang Dai; Wenyang Hu; Yao Shu; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (ICML, 2024)

Distributionally Robust Data Valuation. - Xiaoqiang Lin; Xinyi Xu; Zhaoxuan Wu; See-Kiong Ng; Bryan Kian Hsiang Low (ICML, 2024)

Localized Zeroth-Order Prompt Optimization. - Wenyang Hu; Yao Shu; Zongmin Yu; Zhaoxuan Wu; Xiaoqiang Lin; Zhongxiang Dai; See-Kiong Ng; Bryan Kian Hsiang Low (NeurIPS, 2024)

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. - Zhaoxuan Wu; Xiaoqiang Lin; Zhongxiang Dai; Wenyang Hu; Yao Shu; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (NeurIPS, 2024)

Localized Zeroth-Order Prompt Optimization. - Wenyang Hu; Yao Shu; Zongmin Yu; Zhaoxuan Wu; Xiangqiang Lin; Zhongxiang Dai; See-Kiong Ng; Bryan Kian Hsiang Low (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)

Dynamic differential privacy-based dataset condensation. - Zhaoxuan Wu; Xiaojing Gao; Yongfeng Qian; Yixue Hao; Min Chen 003 (Neurocomputing, 2024)

Paid with Models: Optimal Contract Design for Collaborative Machine Learning. - Bingchen Wang; Zhaoxuan Wu; Fusheng Liu; Bryan Kian Hsiang Low (AAAI, 2025)

TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding. - Zhaoxuan Wu; Zijian Zhou; Arun Verma; Alok Prakash; Daniela Rus; Bryan Kian Hsiang Low (ACL (1), 2025)

Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions. - Rui Qiao 006; Zhaoxuan Wu; Jingtan Wang 001; Pang Wei Koh; Bryan Kian Hsiang Low (ICLR, 2025)

NodeChain: Cheap Data Integrity Without Consensus. - Orfeas Stefanos Thyfronitis Litos; Zhaoxuan Wu; Alfredo Musumeci; Songyun Hu; James Helsby; Michael Breza; William Knottenbelt (IACR Cryptol. ePrint Arch., 2025)

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents. - Zijian Zhou; Ao Qu; Zhaoxuan Wu; Sunghwan Kim; Alok Prakash; Daniela Rus; Jinhua Zhao; Bryan Kian Hsiang Low; Paul Pu Liang (CoRR, 2025)