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Home/Authors/Guang Lin

Guang Lin

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2Stats ML×1Stats Method.×1AI×1

Frequent co-authors

Young Hyun Cho1×
Franz Stoll1×
Will Wei Sun1×
Stephan Biller1×
Shikui Tu1×
Lei Xu1×

Research Timeline

2026
Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling

The paper introduces FTDiff, a reinforcement learning fine-tuning framework that efficiently generates high-quality, drug-like molecules constrained by a target protein structure, outperforming existing methods.

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations

This paper proposes a hierarchical reinforcement learning framework to adapt interdependent long-term and short-term policies in global operations, improving resilience and profit.

Highlighted terms show continued research focus across papers

Papers

stat.MLcs.LGstat.MEEmpiricalRecentJul 26, 2026

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations

Young Hyun Cho, Franz Stoll, Will Wei Sun, Guang Lin +1 more

This paper proposes a hierarchical reinforcement learning framework to adapt interdependent long-term and short-term policies in global operations, improving resilience and profit.

View →
cs.LGcs.AIRecent
May 31, 2026

Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling

Guang Lin, Shikui Tu, Lei Xu

The paper introduces FTDiff, a reinforcement learning fine-tuning framework that efficiently generates high-quality, drug-like molecules constrained by a target protein structure, outperforming existi…

View →