1 citations · 2 across the 5 of their papers we have counts for
5 papers
Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
Cong Liu, Chengyue Gong, Zhenyu Liu +2
Generative models hold great promise for accelerating material discovery but are often limited by their inflexible single-stage generative process in designing valid and diverse ma…
XDXD: End-to-end crystal structure determination with low resolution X-ray diffraction
Jiale Zhao, Cong Liu, Yuxuan Zhang +4
Determining crystal structures from X-ray diffraction data is fundamental across diverse scientific fields, yet remains a significant challenge when data is limited to low resoluti…
pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation
Jiale Zhao, Pengzhi Mao, Kaifei Wang +12
Deep learning has advanced mass spectrometry data interpretation, yet most models remain feature extractors rather than unified scoring frameworks. We present pUniFind, the first l…
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
Jiale Zhao, Wanru Zhuang, Jia Song +2
In recent years, there has been a surge in the development of 3D structure-based pre-trained protein models, representing a significant advancement over pre-trained protein languag…
Multidimensional Information Assisted Deep Learning Realizing Flexible Recognition of Vortex Beam Modes
Jiale Zhao, Yiming Li, Zijing Zhang +1
Because of the unlimited range of state space, orbital angular momentum (OAM) as a new degree of freedom of light has attracted great attention in optical communication field. Rece…