Search Results for author: Jingyuan Liu

Found 6 papers, 0 papers with code

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression

no code implementations1 Apr 2024 Zelin He, Ying Sun, Jingyuan Liu, Runze Li

Nonasymptotic bound is provided for the estimation error of the target model, showing the robustness of the proposed method to covariate shifts.

regression Transfer Learning

AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression

no code implementations20 Mar 2024 Zelin He, Ying Sun, Jingyuan Liu, Runze Li

We consider the transfer learning problem in the high dimensional setting, where the feature dimension is larger than the sample size.

Transfer Learning

Template-Free Single-View 3D Human Digitalization with Diffusion-Guided LRM

no code implementations22 Jan 2024 Zhenzhen Weng, Jingyuan Liu, Hao Tan, Zhan Xu, Yang Zhou, Serena Yeung-Levy, Jimei Yang

We present Human-LRM, a diffusion-guided feed-forward model that predicts the implicit field of a human from a single image.

Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis

no code implementations CVPR 2022 Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai

The ability to synthesize long-term human motion sequences in real-world scenes can facilitate numerous applications.

Motion Synthesis

Model-free Feature Screening and FDR Control with Knockoff Features

no code implementations19 Aug 2019 Wanjun Liu, Yuan Ke, Jingyuan Liu, Runze Li

It can be shown that the proposed two-step approach enjoys both sure screening and FDR control if the pre-specified FDR level $\alpha$ is greater or equal to $1/s$, where $s$ is the number of active features.

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