Weiyu Li

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Alternating Direction Method Of Multipliers

Compressed Sensing

Partially Observable Markov

Stochastic Optimization

Top Venues

Signal Process.

IEEE Signal Process. Lett.

Publications

Weiyu Li, Jiarui Liu, Rui Chen, Yixun Liang, Xuelin Chen, Ping Tan, Xiaoxiao Long
CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner. CoRR (2024)
Jie Peng, Weiyu Li, Qing Ling
Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error. Signal Process. 219 (2024)
Tingyang Zhang, Qingzhe Gao, Weiyu Li, Libin Liu, Baoquan Chen
BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors. CoRR (2024)
Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D. ICLR (2024)
Jie Peng, Weiyu Li, Qing Ling
Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks. CoRR (2024)
Tao Zhang, Weiyu Li, Di Wu, Qiuli Gao
Group sparsity residual constraint model with weighted log-sum penalty for image restoration. Signal Process. 222 (2024)
Mengfei Li, Xiaoxiao Long, Yixun Liang, Weiyu Li, Yuan Liu, Peng Li, Xiaowei Chi, Xingqun Qi, Wei Xue, Wenhan Luo, Qifeng Liu, Yike Guo
M-LRM: Multi-view Large Reconstruction Model. CoRR (2024)
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
Quantization: Is It Possible to Improve Classification? DCC (2023)
Weiyu Li, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, Baoquan Chen
Example-based Motion Synthesis via Generative Motion Matching. CoRR (2023)
Weiyu Li, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, Baoquan Chen
Example-based Motion Synthesis via Generative Motion Matching. ACM Trans. Graph. 42 (4) (2023)
Runyu Zhang, Weiyu Li, Na Li
On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. ACC (2023)
Cong Yang, Zhenyu Yang, Weiyu Li, John See
FatigueView: A Multi-Camera Video Dataset for Vision-Based Drowsiness Detection. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D. CoRR (2023)
Weiyu Li, Xuelin Chen, Jue Wang, Baoquan Chen
Patch-based 3D Natural Scene Generation from a Single Example. CoRR (2023)
Jie Peng, Weiyu Li, Qing Ling
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error. CoRR (2023)
Humera Batool, Weiyu Li, Zhonggui Sun
Extinction and Ergodic Stationary Distribution of COVID-19 Epidemic Model with Vaccination Effects. Symmetry 15 (2) (2023)
Weiyu Li, Xuelin Chen, Jue Wang, Baoquan Chen
Patch-Based 3D Natural Scene Generation from a Single Example. CVPR (2023)
Weiyu Li, Brian T. Denton, Todd M. Morgan
Optimizing active surveillance for prostate cancer using partially observable Markov decision processes. Eur. J. Oper. Res. 305 (1) (2023)
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
Cascaded Compressed Sensing Networks. IEEE Signal Process. Lett. 30 (2023)
Feng Lin, Weiyu Li, Qing Ling
Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning. Signal Process. 195 (2022)
Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling
Communication-Censored Distributed Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Canhong Wen, Ruipeng Dong, Xueqin Wang, Weiyu Li, Heping Zhang
Best Subset Selection in Reduced Rank Regression. CoRR (2022)
Xuelin Chen, Weiyu Li, Daniel Cohen-Or, Niloy J. Mitra, Baoquan Chen
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras. Comput. Graph. Forum 41 (2) (2022)
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
Ternary and Binary Quantization for Improved Classification. CoRR (2022)
Xiaopeng Yuan, Weiyu Li, Yulin Hu, Anke Schmeink
Beamforming Design and Resource Allocation for IRS-Assisted NOMA Cognitive Radio System. ISWCS (2022)
Lu Lin, Weiyu Li
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox. CoRR (2022)
Jie Peng, Weiyu Li, Qing Ling
Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization. ICASSP (2022)
Xuelin Chen, Weiyu Li, Daniel Cohen-Or, Niloy J. Mitra, Baoquan Chen
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras. CoRR (2021)
Daniel F. Otero-Leon, Weiyu Li, Mariel S. Lavieri, Brian T. Denton, Jeremy B. Sussman, Rodney A. Hayward
Using Longitudinal Health Records to Simulate the Impact of National Treatment Guidelines for Cardiovascular Disease. WSC (2021)
Mingrui Chen, Weiyu Li, Weizhi Lu
Deep Learning to Ternary Hash Codes by Continuation. CoRR (2021)
Feng Lin, Weiyu Li, Qing Ling
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning. CoRR (2021)
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning. CoRR (2021)
Jie Peng, Weiyu Li, Qing Ling
Byzantine-robust decentralized stochastic optimization over static and time-varying networks. Signal Process. 183 (2021)
Feng Lin, Qing Ling, Weiyu Li, Zhiwei Xiong
Stochastic Admm For Byzantine-Robust Distributed Learning. ICASSP (2020)
Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Weiyu Li, Tianyi Chen, Liping Li, Qing Ling
Communication-Censored Distributed Stochastic Gradient Descent. CoRR (2019)
Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. ICASSP (2019)
Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4. IEEE Trans. Signal Inf. Process. over Networks 5 (3) (2019)
Weiyu Li, Jiying Lang, He Zhang, Fei Yang, Lei Zhang, Jingchang Pan
Parallel Coordinates Based Visualization for High-Dimensional Data. ICBDR (2019)
Weiyu Li, Valentin Patilea
A new minimum contrast approach for inference in single-index models. J. Multivar. Anal. 158 (2017)
Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin
Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio. IEEE Signal Process. Lett. 22 (8) (2015)
Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin
Sparsest Matrix based Random Projection for Classification. CoRR (2013)
Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin
Near-optimal Binary Compressed Sensing Matrix CoRR (2013)