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Ye Xue
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Journal Articles
- 2023
- [j14]Ye Xue, Vincent K. N. Lau:
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5774-5788 (2023) - [j13]Ye Xue, Vincent Lau:
Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation. IEEE Trans. Signal Process. 71: 2172-2187 (2023) - 2022
- [j12]Ye Xue:
Multiplicity solutions to non-local problems with general potentials and combined nonlinearities. Appl. Math. Lett. 123: 107583 (2022) - [j11]Ye Xue, Liqun Su, Vincent K. N. Lau:
FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning. IEEE Internet Things J. 9(19): 19330-19345 (2022) - [j10]Chen Zhao, Yongsheng Zhang, Ye Xue, Tong Niu:
Encryption Transmission Verification Method of IT Operation and Maintenance Data Based on Fuzzy Clustering Analysis. Mob. Networks Appl. 27(4): 1386-1396 (2022) - 2021
- [j9]Chen Zhao, Ye Xue, Tong Niu:
Enterprise human resource management index based on fuzzy system. J. Intell. Fuzzy Syst. 40(2): 3137-3146 (2021) - [j8]Ye Xue, Vincent K. N. Lau, Songfu Cai:
Efficient Sparse Coding Using Hierarchical Riemannian Pursuit. IEEE Trans. Signal Process. 69: 4069-4084 (2021) - [j7]Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief:
Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. IEEE Trans. Wirel. Commun. 20(2): 1411-1424 (2021) - 2020
- [j6]Ye Xue, Xuanyu Zheng, Vincent K. N. Lau:
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems. J. Commun. Inf. Networks 5(2): 177-193 (2020) - [j5]Chuan Zhang, Jiejun Jin, Ye Xue, Xiaosi Tan, Christoph Studer, Zaichen Zhang, Xiaohu You:
Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO. IEEE Trans. Veh. Technol. 69(5): 4663-4676 (2020) - 2019
- [j4]Ye Xue, Diego Klabjan, Yuan Luo:
Predicting ICU readmission using grouped physiological and medication trends. Artif. Intell. Medicine 95: 27-37 (2019) - 2018
- [j3]Fusheng Jin, Yifeng Yang, Shuliang Wang, Ye Xue, Zhen Yan:
TBSGM: A Fast Subgraph Matching Method on Large Scale Graphs. Int. J. Data Warehous. Min. 14(4): 67-89 (2018) - [j2]Ye Xue, Zhizhen Wu, Junmei Yang, Shunqing Zhang, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Adaptive Preconditioned Iterative Linear Detection and Architecture for Massive MU-MIMO Uplink. J. Signal Process. Syst. 90(10): 1453-1467 (2018) - 2014
- [j1]Xuzhu Wang, Ye Xue:
Traces and property indicators of fuzzy relations. Fuzzy Sets Syst. 246: 78-90 (2014)
Conference and Workshop Papers
- 2024
- [c17]Yiheng Wang, Shutao Zhang, Ye Xue, Tianshu Yu, Qingjiang Shi, Tsung-Hui Chang:
Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling. ICC 2024: 342-347 - [c16]Duanyi Yao, Songze Li, Ye Xue, Jin Liu:
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. ICLR 2024 - 2023
- [c15]Ye Xue, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau:
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC. ICC 2023: 1326-1331 - [c14]Xinzhi Ning, Shutao Zhang, Ye Xue, Xi Zheng, Qingjiang Shi, Tsung-Hui Chang:
Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design. SPAWC 2023: 521-525 - 2022
- [c13]Ye Xue, Diego Klabjan, Yuan Luo:
Aggregation Delayed Federated Learning. IEEE Big Data 2022: 85-94 - 2020
- [c12]Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau:
Complete Dictionary Learning via ℓp-norm Maximization. UAI 2020: 280-289 - 2019
- [c11]Ye Xue, Diego Klabjan, Yuan Luo:
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. IEEE BigData 2019: 245-252 - [c10]Ye Xue, Xiaoxiao Li, Hengchun Fu:
Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology. ICNC-FSKD 2019: 904-912 - 2017
- [c9]Zhizhen Wu, Ye Xue, Xiaohu You, Chuan Zhang:
Hardware efficient detection for massive MIMO uplink with parallel Gauss-Seidel method. DSP 2017: 1-5 - [c8]Jiejun Jin, Ye Xue, Yeong-Luh Ueng, Xiaohu You, Chuan Zhang:
A split pre-conditioned conjugate gradient method for massive MIMO detection. SiPS 2017: 1-6 - [c7]Yufeng Yang, Ye Xue, Xiaohu You, Chuan Zhang:
An efficient conjugate residual detector for massive MIMO systems. SiPS 2017: 1-6 - 2016
- [c6]Ye Xue, Chuan Zhang, Shunqing Zhang, Xiaohu You:
A fast-convergent pre-conditioned conjugate gradient detection for massive MIMO uplink. DSP 2016: 331-335 - [c5]Zhizheng Wu, Chuan Zhang, Ye Xue, Shugong Xu, Xiaohu You:
Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. ISCAS 2016: 1886-1889 - [c4]Ye Xue, Chuan Zhang, Shunqing Zhang, Zhizheng Wu, Xiaohu You:
Steepest Descent Method Based Soft-Output Detection for Massive MIMO Uplink. SiPS 2016: 273-278 - 2006
- [c3]Ye Xue, Chongfu Huang:
Theory and Practice on Information Granule Matrix. FSKD 2006: 314-323 - [c2]Ye Xue, Chongfu Huang:
A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion. JCIS 2006 - 2005
- [c1]Chongfu Huang, Ye Xue:
Some concepts and methods of information granule diffusion. GrC 2005: 28-33
Informal and Other Publications
- 2024
- [i11]Duanyi Yao, Songze Li, Ye Xue, Jin Liu:
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. CoRR abs/2408.04310 (2024) - 2023
- [i10]Ye Xue, Vincent K. N. Lau:
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation. CoRR abs/2306.02433 (2023) - [i9]Ye Xue, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau:
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC. CoRR abs/2306.02436 (2023) - [i8]Ye Xue, Diego Klabjan, Jean Utke:
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. CoRR abs/2307.00226 (2023) - 2021
- [i7]Ye Xue, Vincent K. N. Lau:
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. CoRR abs/2103.01484 (2021) - [i6]Ye Xue, Vincent Lau, Songfu Cai:
Efficient Sparse Coding using Hierarchical Riemannian Pursuit. CoRR abs/2104.10314 (2021) - [i5]Ye Xue, Diego Klabjan, Yuan Luo:
Aggregation Delayed Federated Learning. CoRR abs/2108.07433 (2021) - 2020
- [i4]Yifei Shen, Ye Xue, Jun Zhang, Khaled Ben Letaief, Vincent K. N. Lau:
Complete Dictionary Learning via 𝓁p-norm Maximization. CoRR abs/2002.10043 (2020) - [i3]Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief:
Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold. CoRR abs/2004.12301 (2020) - [i2]Ye Xue, Xuanyu Zheng, Vincent K. N. Lau:
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems. CoRR abs/2006.07565 (2020) - 2019
- [i1]Ye Xue, Diego Klabjan, Yuan Luo:
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. CoRR abs/1908.04209 (2019)
Coauthor Index
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