Lin YANG
Scholar

Lin YANG

Google Scholar ID: PlgosSoAAAAJ
Noah's Ark Lab, Huawei
machine learningnetwork communicationBayesian optimization
Citations & Impact
All-time
Citations
401
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier international conferences or journals such as NeurIPS, ICML, CAAI, IEEE Trans. on Communications, including but not limited to: 'LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data' (NeurIPS 2025), 'Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples' (ICML 2025), etc.
Research Experience
  • As a senior researcher at Noah's Ark Lab, Huawei, focusing on projects to improve the complex reasoning capabilities of LLMs among others.
Education
  • Received his B.S. degree in Computer Science from South China University of Technology (SCUT) in June 2008; then obtained his Ph.D. degree from the Department of Computer Science and Technology, Hong Kong University of Science and Technology (HKUST), where he worked with Prof. Qian Zhang in the Huawei-HKUST Innovation Lab.
Background
  • Currently a senior researcher at Noah's Ark Lab, Huawei. His research mainly focuses on improving the complex reasoning capability of LLMs, with particular interests in efficient post-training of foundation models, data synthesis, and advanced reasoning techniques for LLMs. He also has extensive experience in Bayesian optimization and reinforcement learning.
Co-authors
0 total
Co-authors: 0 (list not available)