5 papers
Diffusion LMs Can Approximate Optimal Infilling Lengths Implicitly
Hengchang Liu, Zhao Yang, Bing Su
Diffusion language models (DLMs) provide a bidirectional generation framework naturally suited for infilling, yet their performance is constrained by the pre-specified infilling le…
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model
Zhao Yang, Jiwei Zhu, Bing Su
Inspired by the success of unsupervised pre-training paradigms, researchers have applied these approaches to DNA pre-training. However, we argue that these approaches alone yield s…
Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation
Jiexin Wang, Wenwen Qiang, Zhao Yang +1
Expressive representation of pose sequences is crucial for accurate motion modeling in human motion prediction (HMP). While recent deep learning-based methods have shown promise in…
Regulatory DNA sequence Design with Reinforcement Learning
Zhao Yang, Bing Su, Chuan Cao +1
Cis-regulatory elements (CREs), such as promoters and enhancers, are relatively short DNA sequences that directly regulate gene expression. The fitness of CREs, measured by their a…
Interpretable Enzyme Function Prediction via Residue-Level Detection
Zhao Yang, Bing Su, Jiahao Chen +1
Predicting multiple functions labeled with Enzyme Commission (EC) numbers from the enzyme sequence is of great significance but remains a challenge due to its sparse multi-label cl…