Weiyu Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Corrected Group Sparse Residual Constraint Model for Image Denoising and Inpainting.
Circuits Syst. Signal Process., February, 2025

High-dimensional projection-based ANOVA test.
J. Multivar. Anal., 2025

Optimal network control of spatially exponential decaying linear quadratic regulator.
Autom., 2025

2024
Group sparsity residual constraint model with weighted log-sum penalty for image restoration.
Signal Process., 2024

Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error.
Signal Process., 2024

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders.
CoRR, 2024

M-LRM: Multi-view Large Reconstruction Model.
CoRR, 2024

CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner.
CoRR, 2024

BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors.
CoRR, 2024

Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Example-based Motion Synthesis via Generative Motion Matching.
ACM Trans. Graph., August, 2023

Extinction and Ergodic Stationary Distribution of COVID-19 Epidemic Model with Vaccination Effects.
Symmetry, February, 2023

FatigueView: A Multi-Camera Video Dataset for Vision-Based Drowsiness Detection.
IEEE Trans. Intell. Transp. Syst., January, 2023

Cascaded Compressed Sensing Networks.
IEEE Signal Process. Lett., 2023

Optimizing active surveillance for prostate cancer using partially observable Markov decision processes.
Eur. J. Oper. Res., 2023

Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error.
CoRR, 2023

Quantization: Is It Possible to Improve Classification?
Proceedings of the Data Compression Conference, 2023

Patch-Based 3D Natural Scene Generation from a Single Example.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure.
Proceedings of the American Control Conference, 2023

2022
Communication-Censored Distributed Stochastic Gradient Descent.
IEEE Trans. Neural Networks Learn. Syst., 2022

Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning.
Signal Process., 2022

Best Subset Selection in Reduced Rank Regression.
CoRR, 2022

A Correlation-Ratio Transfer Learning and Variational Stein's Paradox.
CoRR, 2022

Ternary and Binary Quantization for Improved Classification.
CoRR, 2022

MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras.
Comput. Graph. Forum, 2022

Beamforming Design and Resource Allocation for IRS-Assisted NOMA Cognitive Radio System.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Byzantine-robust decentralized stochastic optimization over static and time-varying networks.
Signal Process., 2021

Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning.
CoRR, 2021

Deep Learning to Ternary Hash Codes by Continuation.
CoRR, 2021

Using Longitudinal Health Records to Simulate the Impact of National Treatment Guidelines for Cardiovascular Disease.
Proceedings of the Winter Simulation Conference, 2021

2020
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Stochastic Admm For Byzantine-Robust Distributed Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Communication-Censored Distributed Stochastic Gradient Descent.
CoRR, 2019

Parallel Coordinates Based Visualization for High-Dimensional Data.
Proceedings of the 3rd International Conference on Big Data Research, 2019

COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
A new minimum contrast approach for inference in single-index models.
J. Multivar. Anal., 2017

2015
Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio.
IEEE Signal Process. Lett., 2015

2013
Near-optimal Binary Compressed Sensing Matrix
CoRR, 2013

Sparsest Matrix based Random Projection for Classification.
CoRR, 2013


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