2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
Qi Si, Penglei Wang, Yushuai Wu +5
Predicting spatial gene expression from routine H\&E enables large-scale molecular profiling, yet current models treat this as isolated pointwise tasks, thereby overlooking essenti…
math.OC2020
Escaping Saddle Points Efficiently with Occupation-Time-Adapted Perturbations
Xin Guo, Jiequn Han, Mahan Tajrobehkar +1
Motivated by the super-diffusivity of self-repelling random walk, which has roots in statistical physics, this paper develops a new perturbation mechanism for optimization algorith…
math.ST2019★ 2 cited
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Xin Guo, Fengmin Tang, Wenpin Tang
This paper is concerned with statistical estimation of two preferential attachment models: the Buckley-Osthus model and the hierarchical preferential attachment model. We prove tha…