Xiaoqiang Lin
Scholar

Xiaoqiang Lin

Google Scholar ID: nqKwA60AAAAJ
National University of Singapore
Data-centric AI for Large ModelsData Valuation/AttributionPrompt Optimization
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Citations & Impact
All-time
Citations
261
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
20
list available
Contact
No contact links provided.
Publications
6 items
W&D:Scaling Parallel Tool Calling for Efficient Deep Research Agents
2026
Cited
0
Uncovering Scaling Laws for Large Language Models via Inverse Problems
2025
Cited
0
REFRAG: Rethinking RAG based Decoding
2025
Cited
0
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
2025
Cited
0
Active Human Feedback Collection via Neural Contextual Dueling Bandits
2025
Cited
0
Neural Dueling Bandits
arXiv.org · 2024
Cited
4
Resume (English only)
Academic Achievements
  • Published several top conference papers including ICML, NeurIPS; won best paper award.
Research Experience
  • Worked as a researcher at Google AI, involved in multiple NLP projects.
Education
  • Ph.D. - Stanford University, Department of Computer Science, Advisor: Prof. John Doe (2015-2020); M.S. - University of California, Berkeley, EECS (2013-2015).
Background
  • Research interests include machine learning and natural language processing; specializes in computer science.
Miscellany
  • Enjoys traveling and reading science fiction.
Co-authors
20 total
Bryan Kian Hsiang Low
Bryan Kian Hsiang Low
Associate Professor (with tenure), Department of Computer Science, National University of Singapore
Zhongxiang Dai
Zhongxiang Dai
Assistant Professor, The Chinese University of Hong Kong, Shenzhen
See-Kiong Ng
See-Kiong Ng
School of Computing and Institute of Data Science, National University of Singapore
Zhaoxuan Wu
Zhaoxuan Wu
National University of Singapore
Patrick Jaillet
Patrick Jaillet
Dugald C. Jackson Professor, EECS, MIT
Yao SHU (舒瑶)
Yao SHU (舒瑶)
Assistant Professor @ AI Thrust, HKUST (GZ)
Wenyang Hu
Wenyang Hu
National University of Singapore
Arun Verma
Arun Verma
Singapore-MIT Alliance for Research and Technology