Zhaoxuan Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
7
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Paid with Models: Optimal Contract Design for Collaborative Machine Learning. | Bingchen Wang, Zhaoxuan Wu, Fusheng Liu, Bryan Kian Hsiang Low |
| 2025 | ACL | TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding. | Zhaoxuan Wu, Zijian Zhou, Arun Verma, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low |
| 2025 | EMNLP | Uncovering Scaling Laws for Large Language Models via Inverse Problems. | Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | ICLR | Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions. | Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low |
| 2024 | EMNLP | Position Paper: Data-Centric AI in the Age of Large Language Models. | Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low |
| 2024 | ICLR | Incentive-Aware Federated Learning with Training-Time Model Rewards. | Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar, Bryan Kian Hsiang Low |
| 2024 | ICML | 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 |
| 2024 | ICML | Distributionally Robust Data Valuation. | Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2023 | AISTATS | FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. | Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2022 | ICML | DAVINZ: Data Valuation using Deep Neural Networks at Initialization. | Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low |
| 2021 | UAI | Trusted-maximizers entropy search for efficient Bayesian optimization. | Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet |