Scholar
Xingyu Wu
Google Scholar ID: E10XSzEAAAAJ
Hong Kong Polytechnic University
Automated machine learning
Causality-based machine learning
Large foundation model
AutoML
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Citations & Impact
All-time
Citations
1,387
H-index
24
i10-index
35
Publications
20
Co-authors
17
list available
Contact
Email
xingy.wu@polyu.edu.hk
GitHub
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Publications
12 items
VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
2026
Cited
0
Fine-Grained Model Merging via Modular Expert Recombination
2026
Cited
0
Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
2025
Cited
0
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
2025
Cited
0
Hierarchical Budget Policy Optimization for Adaptive Reasoning
2025
Cited
0
When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance
2025
Cited
0
SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation
2025
Cited
0
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery
2025
Cited
0
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Resume (English only)
Co-authors
17 total
Huanhuan Chen
University of Science and Technology of China, IEEE Fellow
Bing-Bing Jiang
Hangzhou Normal University
Professor Kay Chen TAN
Chair Professor, Dept. of Data Science & Artificial Intelligence, Hong Kong Polytechnic University
Kui Yu
Professor, Hefei University of Technology
Jibin Wu
The Hong Kong Polytechnic University
Liang Feng
Chongqing University
Chunyan Miao
Nanyang Technological University
Co-author 8
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