Zenan Huang
Scholar

Zenan Huang

Google Scholar ID: EVfmFW8AAAAJ
Ant Research
Machine LearningCausalityLLMs
Citations & Impact
All-time
Citations
117
 
H-index
6
 
i10-index
5
 
Publications
17
 
Co-authors
11
list available
Resume (English only)
Background
  • Research focuses on Large Language Models (LLMs) and reasoning
  • Aims to build intelligent systems capable of complex reasoning across diverse domains
  • Advances LLM reasoning through novel training paradigms combining reinforcement learning and structured feedback
  • Develops rigorous benchmarks for evaluating machine intelligence in scientific reasoning
  • Has foundational work in causal discovery and inference methods for open-world observational data
  • Research includes causal discovery algorithms, transfer learning, and applications in neuro-behavioral data analysis and medical causal effect inference