Ye Xue

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 36

Top Topics

Subgraph Matching

Sas Enterprise Miner

Activity Detection

Top Venues

IEEE Trans. Signal Process.

Publications

Duanyi Yao, Songze Li, Ye Xue, Jin Liu
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. ICLR (2024)
Ye Xue, Diego Klabjan, Jean Utke
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. CoRR (2023)
Ye Xue, Vincent K. N. Lau
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
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)
Ye Xue, Vincent K. N. Lau
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation. CoRR (2023)
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)
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 (2023)
Ye Xue, Vincent Lau
Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation. IEEE Trans. Signal Process. 71 (2023)
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) (2022)
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) (2022)
Ye Xue, Diego Klabjan, Yuan Luo
Aggregation Delayed Federated Learning. Big Data (2022)
Ye Xue
Multiplicity solutions to non-local problems with general potentials and combined nonlinearities. Appl. Math. Lett. 123 (2022)
Ye Xue, Vincent Lau, Songfu Cai
Efficient Sparse Coding using Hierarchical Riemannian Pursuit. CoRR (2021)
Ye Xue, Vincent K. N. Lau
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. CoRR (2021)
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) (2021)
Ye Xue, Diego Klabjan, Yuan Luo
Aggregation Delayed Federated Learning. CoRR (2021)
Ye Xue, Vincent K. N. Lau, Songfu Cai
Efficient Sparse Coding Using Hierarchical Riemannian Pursuit. IEEE Trans. Signal Process. 69 (2021)
Chen Zhao, Ye Xue, Tong Niu
Enterprise human resource management index based on fuzzy system. J. Intell. Fuzzy Syst. 40 (2) (2021)
Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau
-norm Maximization. UAI (2020)
Yifei Shen, Ye Xue, Jun Zhang, Khaled Ben Letaief, Vincent K. N. Lau
-norm Maximization. CoRR (2020)
Ye Xue, Xuanyu Zheng, Vincent K. N. Lau
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems. CoRR (2020)
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) (2020)
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) (2020)
Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief
-norm Maximization over the Stiefel Manifold. CoRR (2020)
Ye Xue, Diego Klabjan, Yuan Luo
Predicting ICU readmission using grouped physiological and medication trends. Artif. Intell. Medicine 95 (2019)
Ye Xue, Diego Klabjan, Yuan Luo
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. CoRR (2019)
Ye Xue, Xiaoxiao Li, Hengchun Fu
Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology. ICNC-FSKD (2019)
Ye Xue, Diego Klabjan, Yuan Luo
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. IEEE BigData (2019)
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) (2018)
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) (2018)
Zhizhen Wu, Ye Xue, Xiaohu You, Chuan Zhang
Hardware efficient detection for massive MIMO uplink with parallel Gauss-Seidel method. DSP (2017)
Yufeng Yang, Ye Xue, Xiaohu You, Chuan Zhang
An efficient conjugate residual detector for massive MIMO systems. SiPS (2017)
Jiejun Jin, Ye Xue, Yeong-Luh Ueng, Xiaohu You, Chuan Zhang
A split pre-conditioned conjugate gradient method for massive MIMO detection. SiPS (2017)
Ye Xue, Chuan Zhang, Shunqing Zhang, Zhizheng Wu, Xiaohu You
Steepest Descent Method Based Soft-Output Detection for Massive MIMO Uplink. SiPS (2016)
Ye Xue, Chuan Zhang, Shunqing Zhang, Xiaohu You
A fast-convergent pre-conditioned conjugate gradient detection for massive MIMO uplink. DSP (2016)
Zhizheng Wu, Chuan Zhang, Ye Xue, Shugong Xu, Xiaohu You
Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. ISCAS (2016)
Xuzhu Wang, Ye Xue
Traces and property indicators of fuzzy relations. Fuzzy Sets Syst. 246 (2014)
Ye Xue, Chongfu Huang
Theory and Practice on Information Granule Matrix. FSKD (2006)
Ye Xue, Chongfu Huang
A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion. JCIS (2006)
Chongfu Huang, Ye Xue
Some concepts and methods of information granule diffusion. GrC (2005)