Ye Xue

53 papers A* 2A 1B 2C 1Misc 1Journal 34Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Digital Twin Enabled Simultaneous Learning and Modeling for UAV-assisted Secure Communications with Eavesdropping Attacks.
CoRR
Jieting Yuan, Songhan Zhao, Ye Xue, Yu Zhao, Bo Gu, Shimin Gong
2026 J jnl
PEMNet: Towards Autonomous and Enhanced Environment-Aware Mobile Networks.
CoRR
Lei Li, Yanqing Xu, Ye Xue, Feng Yin, Chao Shen, Rui Zhang, Tsung-Hui Chang
2025 J jnl
A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling.
CoRR
Xinyu Qin, Ye Xue, Qi Yan, Shutao Zhang, Bingsheng Peng, Tsung-Hui Chang
2025 J jnl
GNN-Based Structured Bayesian Inference for Multi-Grid Localized Statistical Channel Modeling.
IEEE Trans. Wirel. Commun.
Yiheng Wang, Ye Xue, Shutao Zhang, Tsung-Hui Chang
2025 J jnl
RF-LSCM: Pushing Radiance Fields to Multi-Domain Localized Statistical Channel Modeling for Cellular Network Optimization.
CoRR
Bingsheng Peng, Shutao Zhang, Xi Zheng, Ye Xue, Xinyu Qin, Tsung-Hui Chang
2025 A* conf
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems.
ICML
Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo
2025 J jnl
Relaxation-Free Min-$k$-Partition for PCI Assignment in 5G Networks.
IEEE Trans. Signal Process.
Yeqing Qiu, Chengpiao Huang, Ye Xue, Zhipeng Jiang, Qingjiang Shi, Dong Zhang, Zhi-Quan Luo
2025 J jnl
Robust Network Optimization by Deep Generative Models and Stochastic Optimization.
IEEE Trans. Wirel. Commun.
Shutao Zhang, Ye Xue, Zhiwei Tang, Hao Wang, Chao Shen, Qingjiang Shi, Tsung-Hui Chang
2024 A* conf
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit.
ICLR
Duanyi Yao, Songze Li, Ye Xue, Jin Liu
2024 J jnl
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit.
CoRR
Duanyi Yao, Songze Li, Ye Xue, Jin Liu
2024 B conf
Multimodal Learning on Temporal Data.
IEEE Big Data
Ye Xue, Diego Klabjan, Jean Utke
2024 — conf
Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling.
ICC
Yiheng Wang, Shutao Zhang, Ye Xue, Tianshu Yu, Qingjiang Shi, Tsung-Hui Chang
2024 J jnl
Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.
CoRR
Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, Tianshu Yu
2024 J jnl
Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory.
IEEE Access
Weijing Liang, Ye Xue
2023 — conf
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC.
ICC
Ye Xue, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau
2023 J jnl
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC.
CoRR
Ye Xue, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau
2023 — conf
Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design.
SPAWC
Xinzhi Ning, Shutao Zhang, Ye Xue, Xi Zheng, Qingjiang Shi, Tsung-Hui Chang
2023 J jnl
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method.
IEEE Trans. Neural Networks Learn. Syst.
Ye Xue, Vincent K. N. Lau
2023 J jnl
Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation.
IEEE Trans. Signal Process.
Ye Xue, Vincent Lau
2023 J jnl
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation.
CoRR
Ye Xue, Vincent K. N. Lau
2023 J jnl
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture.
CoRR
Ye Xue, Diego Klabjan, Jean Utke
2022 B conf
Aggregation Delayed Federated Learning.
IEEE Big Data
Ye Xue, Diego Klabjan, Yuan Luo
2022 J jnl
Encryption Transmission Verification Method of IT Operation and Maintenance Data Based on Fuzzy Clustering Analysis.
Mob. Networks Appl.
Chen Zhao, Yongsheng Zhang, Ye Xue, Tong Niu
2022 J jnl
FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning.
IEEE Internet Things J.
Ye Xue, Liqun Su, Vincent K. N. Lau
2022 J jnl
Multiplicity solutions to non-local problems with general potentials and combined nonlinearities.
Appl. Math. Lett.
Ye Xue
2021 J jnl
Aggregation Delayed Federated Learning.
CoRR
Ye Xue, Diego Klabjan, Yuan Luo
2021 J jnl
Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold.
IEEE Trans. Wirel. Commun.
Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief
2021 J jnl
Efficient Sparse Coding Using Hierarchical Riemannian Pursuit.
IEEE Trans. Signal Process.
Ye Xue, Vincent K. N. Lau, Songfu Cai
2021 J jnl
Efficient Sparse Coding using Hierarchical Riemannian Pursuit.
CoRR
Ye Xue, Vincent Lau, Songfu Cai
2021 J jnl
Enterprise human resource management index based on fuzzy system.
J. Intell. Fuzzy Syst.
Chen Zhao, Ye Xue, Tong Niu
2021 J jnl
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method.
CoRR
Ye Xue, Vincent K. N. Lau
2020 J jnl
Blind Data Detection in Massive MIMO via ℓ
CoRR
Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief
2020 A conf
Complete Dictionary Learning via ℓ
UAI
Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau
2020 J jnl
Complete Dictionary Learning via 𝓁
CoRR
Yifei Shen, Ye Xue, Jun Zhang, Khaled Ben Letaief, Vincent K. N. Lau
2020 J jnl
Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO.
IEEE Trans. Veh. Technol.
Chuan Zhang, Jiejun Jin, Ye Xue, Xiaosi Tan, Christoph Studer, Zaichen Zhang, Xiaohu You
2020 J jnl
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems.
CoRR
Ye Xue, Xuanyu Zheng, Vincent K. N. Lau
2020 J jnl
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems.
J. Commun. Inf. Networks
Ye Xue, Xuanyu Zheng, Vincent K. N. Lau
2019 — conf
Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology.
ICNC-FSKD
Ye Xue, Xiaoxiao Li, Hengchun Fu
2019 — conf
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension.
IEEE BigData
Ye Xue, Diego Klabjan, Yuan Luo
2019 J jnl
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension.
CoRR
Ye Xue, Diego Klabjan, Yuan Luo
2019 J jnl
Predicting ICU readmission using grouped physiological and medication trends.
Artif. Intell. Medicine
Ye Xue, Diego Klabjan, Yuan Luo
2018 J jnl
Adaptive Preconditioned Iterative Linear Detection and Architecture for Massive MU-MIMO Uplink.
J. Signal Process. Syst.
Ye Xue, Zhizhen Wu, Junmei Yang, Shunqing Zhang, Zaichen Zhang, Xiaohu You, Chuan Zhang
2018 J jnl
TBSGM: A Fast Subgraph Matching Method on Large Scale Graphs.
Int. J. Data Warehous. Min.
Fusheng Jin, Yifeng Yang, Shuliang Wang, Ye Xue, Zhen Yan
2017 — conf
A split pre-conditioned conjugate gradient method for massive MIMO detection.
SiPS
Jiejun Jin, Ye Xue, Yeong-Luh Ueng, Xiaohu You, Chuan Zhang
2017 — conf
An efficient conjugate residual detector for massive MIMO systems.
SiPS
Yufeng Yang, Ye Xue, Xiaohu You, Chuan Zhang
2017 — conf
Hardware efficient detection for massive MIMO uplink with parallel Gauss-Seidel method.
DSP
Zhizhen Wu, Ye Xue, Xiaohu You, Chuan Zhang
2016 — conf
A fast-convergent pre-conditioned conjugate gradient detection for massive MIMO uplink.
DSP
Ye Xue, Chuan Zhang, Shunqing Zhang, Xiaohu You
2016 C conf
Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method.
ISCAS
Zhizheng Wu, Chuan Zhang, Ye Xue, Shugong Xu, Xiaohu You
2016 — conf
Steepest Descent Method Based Soft-Output Detection for Massive MIMO Uplink.
SiPS
Ye Xue, Chuan Zhang, Shunqing Zhang, Zhizheng Wu, Xiaohu You
2014 J jnl
Traces and property indicators of fuzzy relations.
Fuzzy Sets Syst.
Xuzhu Wang, Ye Xue
2006 — conf
A New Model of Isoseismal Area Assessment Based on Information Granule Diffusion.
JCIS
Ye Xue, Chongfu Huang
2006 — conf
Theory and Practice on Information Granule Matrix.
FSKD
Ye Xue, Chongfu Huang
2005 Misc conf
Some concepts and methods of information granule diffusion.
GrC
Chongfu Huang, Ye Xue