Weiyu Li | DeepAI

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Featured Co-authors

Daniel Cohen-Or
113 publications
Jue Wang
107 publications
Tianyi Chen
60 publications
Niloy J. Mitra
58 publications
Baoquan Chen
54 publications
Zhi Tian
35 publications
Jun Lu
33 publications
Qing Ling
31 publications
Olga Sorkine-Hornung
28 publications
Feng Lin
25 publications
Lu Lin
23 publications

∙ 08/10/2023

Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error

This paper studies Byzantine-robust stochastic optimization over a decen...

0 Jie Peng, et al. ∙

∙ 06/01/2023

Example-based Motion Synthesis via Generative Motion Matching

We present GenMM, a generative model that "mines" as many diverse motion...

0 Weiyu Li, et al. ∙

∙ 04/25/2023

Patch-based 3D Natural Scene Generation from a Single Example

We target a 3D generative model for general natural scenes that are typi...

0 Weiyu Li, et al. ∙

∙ 02/22/2023

Source-Function Weighted-Transfer Learning for Nonparametric Regression with Seemingly Similar Sources

The homogeneity, or more generally, the similarity between source domain...

0 Lu Lin, et al. ∙

∙ 11/29/2022

Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations

Sparse reduced rank regression is an essential statistical learning meth...

0 Canhong Wen, et al. ∙

∙ 06/10/2022

A Correlation-Ratio Transfer Learning and Variational Stein's Paradox

A basic condition for efficient transfer learning is the similarity betw...

2 Lu Lin, et al. ∙

∙ 03/31/2022

Ternary and Binary Quantization for Improved Classification

Dimension reduction and data quantization are two important methods for ...

0 Weizhi Lu, et al. ∙

∙ 10/20/2021

Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning

Recently, the method that learns networks layer by layer has attracted i...

0 Weizhi Lu, et al. ∙

∙ 07/16/2021

Deep Learning to Ternary Hash Codes by Continuation

Recently, it has been observed that 0,1,-1-ternary codes which are simpl...

0 Mingrui Chen, et al. ∙

∙ 06/13/2021

Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning

This paper aims to solve a distributed learning problem under Byzantine ...

0 Feng Lin, et al. ∙

∙ 06/08/2021

MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras

Synthesizing novel views of dynamic humans from stationary monocular cam...

0 Xuelin Chen, et al. ∙

∙ 08/20/2020

Unified Rules of Renewable Weighted Sums for Various Online Updating Estimations

This paper establishes unified frameworks of renewable weighted sums (RW...

0 Lu Lin, et al. ∙

∙ 12/13/2019

Best Subset Selection in Reduced Rank Regression

Reduced rank regression is popularly used for modeling the relationship ...

0 Canhong Wen, et al. ∙

∙ 09/15/2019

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization

In this paper, we propose a communication- and computation-efficient alg...

0 Weiyu Li, et al. ∙

∙ 09/09/2019

Communication-Censored Distributed Stochastic Gradient Descent

This paper develops a communication-efficient algorithm to solve the sto...

0 Weiyu Li, et al. ∙

∙ 12/12/2013

Sparse Matrix-based Random Projection for Classification

As a typical dimensionality reduction technique, random projection can b...

0 Weizhi Lu, et al. ∙

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