Weiyu Li

According to our database, Weiyu Li authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Tingyang Zhang, Qingzhe Gao, Weiyu Li, Libin Liu, Baoquan Chen

CoRR, 2024

2023

Example-based Motion Synthesis via Generative Motion Matching.

Weiyu Li, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, Baoquan Chen

ACM Trans. Graph., August, 2023

Extinction and Ergodic Stationary Distribution of COVID-19 Epidemic Model with Vaccination Effects.

Humera Batool, Weiyu Li, Zhonggui Sun

Symmetry, February, 2023

FatigueView: A Multi-Camera Video Dataset for Vision-Based Drowsiness Detection.

Cong Yang, Zhenyu Yang, Weiyu Li, John See

IEEE Trans. Intell. Transp. Syst., January, 2023

Cascaded Compressed Sensing Networks.

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

IEEE Signal Process. Lett., 2023

Optimizing active surveillance for prostate cancer using partially observable Markov decision processes.

Weiyu Li, Brian T. Denton, Todd M. Morgan

Eur. J. Oper. Res., 2023

SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D.

Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan

CoRR, 2023

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

Jie Peng, Weiyu Li, Qing Ling

CoRR, 2023

Quantization: Is It Possible to Improve Classification?

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

Proceedings of the Data Compression Conference, 2023

Patch-Based 3D Natural Scene Generation from a Single Example.

Weiyu Li, Xuelin Chen, Jue Wang, Baoquan Chen

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.

Runyu Zhang, Weiyu Li, Na Li

Proceedings of the American Control Conference, 2023

2022

Communication-Censored Distributed Stochastic Gradient Descent.

Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling

IEEE Trans. Neural Networks Learn. Syst., 2022

Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning.

Feng Lin, Weiyu Li, Qing Ling

Signal Process., 2022

Best Subset Selection in Reduced Rank Regression.

Canhong Wen, Ruipeng Dong, Xueqin Wang, Weiyu Li, Heping Zhang

CoRR, 2022

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

Lu Lin, Weiyu Li

CoRR, 2022

Ternary and Binary Quantization for Improved Classification.

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

CoRR, 2022

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

Xuelin Chen, Weiyu Li, Daniel Cohen-Or, Niloy J. Mitra, Baoquan Chen

Comput. Graph. Forum, 2022

Beamforming Design and Resource Allocation for IRS-Assisted NOMA Cognitive Radio System.

Xiaopeng Yuan, Weiyu Li, Yulin Hu, Anke Schmeink

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization.

Jie Peng, Weiyu Li, Qing Ling

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Byzantine-robust decentralized stochastic optimization over static and time-varying networks.

Jie Peng, Weiyu Li, Qing Ling

Signal Process., 2021

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

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

CoRR, 2021

Deep Learning to Ternary Hash Codes by Continuation.

Mingrui Chen, Weiyu Li, Weizhi Lu

CoRR, 2021

Using Longitudinal Health Records to Simulate the Impact of National Treatment Guidelines for Cardiovascular Disease.

Daniel F. Otero-Leon, Weiyu Li, Mariel S. Lavieri, Brian T. Denton, Jeremy B. Sussman, Rodney A. Hayward

Proceedings of the Winter Simulation Conference, 2021

2020

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization.

Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling

IEEE Trans. Signal Inf. Process. over Networks, 2020

Stochastic Admm For Byzantine-Robust Distributed Learning.

Feng Lin, Qing Ling, Weiyu Li, Zhiwei Xiong

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4.

Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia

IEEE Trans. Signal Inf. Process. over Networks, 2019

Communication-Censored Distributed Stochastic Gradient Descent.

Weiyu Li, Tianyi Chen, Liping Li, Qing Ling

CoRR, 2019

Parallel Coordinates Based Visualization for High-Dimensional Data.

Weiyu Li, Jiying Lang, He Zhang, Fei Yang, Lei Zhang, Jingchang Pan

Proceedings of the 3rd International Conference on Big Data Research, 2019

COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization.

Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

A new minimum contrast approach for inference in single-index models.

Weiyu Li, Valentin Patilea

J. Multivar. Anal., 2017

2015

Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio.

Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin

IEEE Signal Process. Lett., 2015

2013

Near-optimal Binary Compressed Sensing Matrix

Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin

CoRR, 2013

Sparsest Matrix based Random Projection for Classification.

Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin

CoRR, 2013