2 citations · 2 across the 4 of their papers we have counts for
4 papers
Local Averaging Accurately Distills Manifold Structure From Noisy Data
Yihan Shen, Shiyu Wang, Arnaud Lamy +2
High-dimensional data are ubiquitous, with examples ranging from natural images to scientific datasets, and often reside near low-dimensional manifolds. Leveraging this geometric s…
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang, Mariam Avagyan, Yihan Shen +5
Learned denoisers play a fundamental role in various signal generation (e.g., diffusion models) and reconstruction (e.g., compressed sensing) architectures, whose success derives f…
Language-Model Prior Overcomes Cold-Start Items
Shiyu Wang, Hao Ding, Yupeng Gu +3
The growth of recommender systems (RecSys) is driven by digitization and the need for personalized content in areas such as e-commerce and video streaming. The content in these sys…
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds
Jingkai Yan, Shiyu Wang, Xinyu Rain Wei +4
In scientific and engineering scenarios, a recurring task is the detection of low-dimensional families of signals or patterns. A classic family of approaches, exemplified by templa…