Xiaoqiang Lin

Cited by

	All	Since 2019
Citations	43	43
h-index	4	4
i10-index	2	2

202020212022202320241 2 7 7 26

Public access

View all

2 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeVerified email at nus.edu.sg
Zhongxiang DaiPostdoctoral Associate, MITVerified email at mit.edu
Zhaoxuan WuNational University of SingaporeVerified email at u.nus.edu
Patrick JailletDugald C. Jackson Professor, EECS, MITVerified email at mit.edu
Yao ShuGuangdong Lab of AI and Digital Economy (SZ)Verified email at gml.ac.cn
Xinyi XuPh.D. student, Department of Computer Science, National University of SingaporeVerified email at u.nus.edu
Wenyang HuNational University of SingaporeVerified email at u.nus.edu
Chuan-Sheng FooInstitute for Infocomm Research; A*STAR Centre for Frontier AI ResearchVerified email at cs.stanford.edu
Rachael Sim Hwee LingPh.D. candidate, Department of Computer Science, National University of SingaporeVerified email at u.nus.edu
Zhongyu Wei (魏忠钰)Associate Professor at School of Data Science, Fudan UniversityVerified email at fudan.edu.cn
Zengfeng HuangFudan UniversityVerified email at fudan.edu.cn
Yang yuqiaotokyo institute of technologyVerified email at m.titech.ac.jp
Trong Nghia HoangAssistant Professor, Washington State UniversityVerified email at wsu.edu
Arun VermaNational University of SingaporeVerified email at comp.nus.edu.sg
Zijian ZhouNational University of SingaporeVerified email at u.nus.edu
Rui QiaoPhd Student, National University of SingaporeVerified email at u.nus.edu

Xiaoqiang Lin

National University of Singapore

Verified email at u.nus.edu - Homepage

Collaborative Machine Learning Data Valuation Zeroth-order Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Joint representation learning of legislator and legislation for roll call prediction Y Yang, X Lin, G Lin, Z Huang, C Jiang, Z Wei 29th International Joint Conferences on Artificial Intelligence (IJCAI-2020 …, 2021	13	2021
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low 41th International Conference on Machine Learning (ICML-2024), 2023	12*	2023
Fair yet Asymptotically Equal Collaborative Learning X Lin, X Xu, SK Ng, CS Foo, BKH Low 40th International Conference on Machine Learning (ICML-2023), 2023	8	2023
Federated zeroth-order optimization using trajectory-informed surrogate gradients Y Shu, X Lin, Z Dai, BKH Low arXiv preprint arXiv:2308.04077, 2023	4	2023
Localized zeroth-order prompt optimization W Hu, Y Shu, Z Yu, Z Wu, X Lin, Z Dai, SK Ng, BKH Low arXiv preprint arXiv:2403.02993, 2024	2	2024
Prompt Optimization with Human Feedback X Lin, Z Dai, A Verma, SK Ng, P Jaillet, BKH Low arXiv preprint arXiv:2405.17346, 2024	1	2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Z Wu, X Lin, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low arXiv preprint arXiv:2405.16122, 2024	1	2024
Data valuation in federated learning Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ... Federated Learning, 281-296, 2024	1	2024
Fairness in federated learning X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ... Federated Learning, 143-160, 2024	1	2024
Data-Centric AI in the Age of Large Language Models X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ... arXiv preprint arXiv:2406.14473, 2024		2024
Distributionally Robust Data Valuation X Lin, X Xu, Z Wu, SK Ng, BKH Low 41th International Conference on Machine Learning (ICML-2024), 2024		2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions J Wang, X Lin, R Qiao, CS Foo, BKH Low 41th International Conference on Machine Learning (ICML-2024), 2024		2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning Z Zhou, X Lin, X Xu, A Prakash, D Rus, BKH Low arXiv preprint arXiv:2405.14899, 2024		2024
Incentives in federated learning RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ... Federated Learning, 299-309, 2024		2024
Neural Dueling Bandits A Verma, Z Dai, X Lin, P Jaillet, BKH Low ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 0

The system can't perform the operation now. Try again later.

Articles 1–15

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors