3 papers
cs.CL2026
DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
Xueyu Zhou, Yangrong Hu, Jian Huang
Masked diffusion language models (MDLMs) have recently emerged as a new paradigm in language modeling, offering flexible generation dynamics and enabling efficient parallel decodin…
stat.ML2025
Fair Sufficient Representation Learning
Xueyu Zhou, Chun Yin IP, Jian Huang
The main objective of fair statistical modeling and machine learning is to minimize or eliminate biases that may arise from the data or the model itself, ensuring that predictions…
stat.ML2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Yeheng Ge, Xueyu Zhou, Jian Huang
Transfer learning is an important approach for addressing the challenges posed by limited data availability in various applications. It accomplishes this by transferring knowledge…