Zhanfeng Mo
Vibe Builder, Independent Researcher, Machine Learning Engineer
About
My research focuses on agentic post-training, and model efficiency. I obtained my Ph.D. degree from Nanyang Technological University in 2025. I am passionate about developing efficient and scalable methods for training and deploying agentic LLMs. I am also a vibe builder, seeking co-evolution with silicon intelligence.
Research Interests
Scalable & Efficient Reinforcement Learning
Agentic LLM Post-training
LLM Infra
Selected Publications
2025
Multi-Agent Tool-Integrated Policy Optimization
AAAI 2026 TrustAgent Workshop
2025
Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation
ICLR 2025 — Spotlight top 1.4%