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Fangzhen Lin — most-cited papers & profile · AI for Code
← authors
·
overview
Fangzhen Lin
12
papers ·
41
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
2025 · 27 citations
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
2019 · 10 citations
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
2023 · 3 citations
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
2025 · 1 citations
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
2026
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
2026
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
2025
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
2025
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
2025
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
2025
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts
2022
Top co-authors
Che Liu
· 1
Cong Wei
· 1
Haozhe Wang
· 1
Jiaming Liu
· 1
Jimmy Lin
· 1
Jinpeng Yu
· 1
Ping Nie
· 1
Ruihua Huang
· 1
Weijia Feng
· 1
Wenhu Chen
· 1
Topics
Model-Based RL
RLHF & Alignment
Exploration
Reinforcement Learning
Training Techniques
Value-Based
Evaluation
Fine-Tuning
Vision-Language
reasoning