16 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Complexity Control
Gaoxiang Jia, Vikram Appia, Junzhou Huang +1
3D Gaussian splatting (3DGS) is a strong representation for real-time novel-view synthesis, but its standard training pipeline relies on point estimates and hand-tuned heuristics,…
cs.LG2026
TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection
Yikai Zhang, Gaoxiang Jia, Jie Ding +1
TorchKM is an open-source library for kernel machines, including support vector machines, kernel logistic regression, and kernel quantile regression, with GPU acceleration. The lib…
stat.ME2019★ 16 cited
RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data
Gaoxiang Jia, Xinlei Wang, Qiwei Li +4
Formalin-fixed paraffin-embedded (FFPE) samples have great potential for biomarker discovery, retrospective studies and diagnosis or prognosis of diseases. Their application, howev…