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
Circuits Syst. Signal Process., February, 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
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
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
ACM Trans. Graph., August, 2023
Extinction and Ergodic Stationary Distribution of COVID-19 Epidemic Model with Vaccination Effects.
Symmetry, February, 2023
IEEE Trans. Intell. Transp. Syst., January, 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
Proceedings of the Data Compression Conference, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning.
Signal Process., 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
Using Longitudinal Health Records to Simulate the Impact of National Treatment Guidelines for Cardiovascular Disease.
Proceedings of the Winter Simulation Conference, 2021
2020
IEEE Trans. Signal Inf. Process. over Networks, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE Trans. Signal Inf. Process. over Networks, 2019
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
J. Multivar. Anal., 2017
2015
Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio.
IEEE Signal Process. Lett., 2015
2013