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Zhaoxuan Wu

11 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

NeurIPS ×3EMNLP ×2ICLR ×2ICML ×2AAAI ×1ACL ×1

Frequent coauthors

Bryan Kian Hsiang Low
×11
Xiaoqiang Lin
×6
Wenyang Hu
×5
See-Kiong Ng
×5
Arun Verma
×4
Yao Shu
×4
Zhongxiang Dai
×4
Rui Qiao
×3
Jingtan Wang
×3
Rachael Hwee Ling Sim
×3
Zijian Zhou
×3
Xinyi Xu
×3

Papers

  1. Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
    ICLR 2025 ·
    Rui Qiao
    , Zhaoxuan Wu,
    Jingtan Wang
    ,
    Pang Wei Koh
    ,
    Bryan Kian Hsiang Low
  2. Incentivizing Time-Aware Fairness in Data Sharing
    NeurIPS 2025 ·
    Jiangwei Chen
    ,
    Kieu Thao Nguyen Pham
    ,
    Rachael Hwee Ling Sim
    ,
    Arun Verma
    , Zhaoxuan Wu,
    Chuan Sheng Foo
    ,
    Bryan Kian Hsiang Low
  3. Paid with Models: Optimal Contract Design for Collaborative Machine Learning
    AAAI 2025 ·
    Bingchen Wang
    , Zhaoxuan Wu,
    Fusheng Liu
    ,
    Bryan Kian Hsiang Low
  4. TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
    ACL 2025 · Zhaoxuan Wu,
    Zijian Zhou
    ,
    Arun Verma
    ,
    Alok Prakash
    ,
    Daniela Rus
    ,
    Bryan Kian Hsiang Low
  5. Uncovering Scaling Laws for Large Language Models via Inverse Problems
    EMNLP 2025 ·
    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
  6. Distributionally Robust Data Valuation
    ICML 2024 ·
    Xiaoqiang Lin
    ,
    Xinyi Xu
    , Zhaoxuan Wu,
    See-Kiong Ng
    ,
    Bryan Kian Hsiang Low
  7. Incentive-Aware Federated Learning with Training-Time Model Rewards
    ICLR 2024 · Zhaoxuan Wu,
    Mohammad Mohammadi Amiri
    ,
    Ramesh Raskar
    ,
    Bryan Kian Hsiang Low
  8. Localized Zeroth-Order Prompt Optimization
    NeurIPS 2024 ·
    Wenyang Hu
    ,
    Yao Shu
    ,
    Zongmin Yu
    , Zhaoxuan Wu,
    Xiaoqiang Lin
    ,
    Zhongxiang Dai
    ,
    See-Kiong Ng
    ,
    Bryan Kian Hsiang Low
  9. Position Paper: Data-Centric AI in the Age of Large Language Models
    EMNLP 2024 ·
    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
  10. Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
    NeurIPS 2024 · Zhaoxuan Wu,
    Xiaoqiang Lin
    ,
    Zhongxiang Dai
    ,
    Wenyang Hu
    ,
    Yao Shu
    ,
    See-Kiong Ng
    ,
    Patrick Jaillet
    ,
    Bryan Kian Hsiang Low
  11. Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
    ICML 2024 ·
    Xiaoqiang Lin
    , Zhaoxuan Wu,
    Zhongxiang Dai
    ,
    Wenyang Hu
    ,
    Yao Shu
    ,
    See-Kiong Ng
    ,
    Patrick Jaillet
    ,
    Bryan Kian Hsiang Low