Publications
Equal contribution is marked by *; corresponding author by †. See also my Google Scholar profile.
Journals
Wireless WM3DGSYe Xue, Yiheng Wang, Xinhua Shao, Qi Yan, Shutao Zhang, and Tsung-Hui Chang, “Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting,” IEEE Transactions on Wireless Communications, vol. 25, pp. 17816–17830, 2026.
Wireless WMChannel ModelingXinyu Qin, Qi Yan, Shutao Zhang, Bingsheng Peng, Ye Xue†, and Tsung-Hui Chang, “A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling,” IEEE Transactions on Mobile Computing, 2026.
Wireless WMRadiance FieldBingsheng Peng, Shutao Zhang, Xi Zheng, Xinyu Qin, Ye Xue†, and Tsung-Hui Chang, “RF-LSCM: Pushing Radiance Fields to Multi-Domain Localized Statistical Channel Modeling for Cellular Network Optimization,” IEEE Transactions on Mobile Computing, accepted Mar. 2026.
Wireless WMChannel ModelingYiheng Wang*, Ye Xue*†, Shutao Zhang, and Tsung-Hui Chang, “GNN-based Structured Bayesian Inference for Multi-grid Localized Statistical Channel Modeling,” IEEE Transactions on Wireless Communications, 2025.
L2OGenerativeShutao Zhang, Ye Xue†, Zhiwei Tang, Hao Wang, Chao Shen, Qingjiang Shi, and Tsung-Hui Chang, “Robust Network Optimization by Deep Generative Models and Stochastic Optimization,” IEEE Transactions on Wireless Communications, 2025.
L2OYeqing Qiu, Chengpiao Huang, Ye Xue†, Zhipeng Jiang, Qingjiang Shi, Dong Zhang, and Zhi-Quan Luo, “Relaxation-free Min-k-partition for PCI Assignment in 5G Networks,” IEEE Transactions on Signal Processing, 2025.
Efficient AIFederatedYe Xue and Vincent K. N. Lau, “Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation,” IEEE Transactions on Signal Processing, 2023.
Efficient AIFederatedYe Xue, Liqun Su, and Vincent K. N. Lau, “FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning,” IEEE Internet of Things Journal, vol. 9, no. 19, pp. 19330–19345, 2022.
XAISparse CodingYe Xue and Vincent K. N. Lau, “Online Orthogonal Dictionary Learning Based on Frank–Wolfe Method,” IEEE Transactions on Neural Networks and Learning Systems, 2021.
XAISparse CodingYe Xue, Vincent K. N. Lau, and Songfu Cai, “Efficient Sparse Coding using Hierarchical Riemannian Pursuit,” IEEE Transactions on Signal Processing, vol. 69, pp. 4069–4084, 2021.
XAIMIMOYe Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, and Khaled B. Letaief, “Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold,” IEEE Transactions on Wireless Communications, vol. 20, no. 2, pp. 1411–1424, 2021.
MIMOYe Xue*, Xuanyu Zheng*, and Vincent K. N. Lau, “Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems,” Journal of Communications and Information Networks, vol. 5, no. 2, pp. 177–193, 2020.
Efficient AIMIMOYe Xue, Zhizhen Wu, Junmei Yang, Shunqing Zhang, Zaichen Zhang, Xiaohu You, and Chuan Zhang, “Adaptive Preconditioned Iterative Linear Detection and Architecture for Massive MU-MIMO Uplink,” Journal of Signal Processing Systems, vol. 90, pp. 1453–1467, 2018.
Wireless WMSurveyShutao Zhang, Ye Xue, Qingjiang Shi, and Tsung-Hui Chang, “Statistical Channel Modeling Methods in Wireless Network Twinning: Current Status and Frontiers” (Invited paper), ZTE Technology Journal, vol. 29, no. 3, pp. 26–31, 2023.
Efficient AIMIMOChuan Zhang, Jiejun Jin, Ye Xue, Xiaosi Tan, Christoph Studer, Zaichen Zhang, and Xiaohu You, “Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO,” IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 4663–4676, 2020.
Ziyao Wang, Congyue Zhang, Ye Xue, Zhijie Dong, Ziyuan Li, and Yingzi Tan, “Design of a Transmission System for Video and Control Information Fusion in Micro Robotics,” Industrial Control Computer, no. 7, pp. 53–55, 2016.
Conferences and Workshops
Wireless WM3DGSYiheng Wang, Ye Xue†, Shutao Zhang, and Tsung-Hui Chang, “RadCloudSplat: Scatterer-Driven 3D Gaussian Splatting with Point-Cloud Priors for Radiomap Extrapolation,” IEEE INFOCOM 2026.
L2OXuanhao Pan*, Chenguang Wang*, Chaolong Ying, Ye Xue, and Tianshu Yu, “Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers,” International Conference on Learning Representations (ICLR 2026).
L2OYeqing Qiu, Ye Xue†, Akang Wang, Yiheng Wang, Qingjiang Shi, and Zhi-Quan Luo, “ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems,” International Conference on Machine Learning (ICML 2025).
L2OYeqing Qiu, Ye Xue†, Zhipeng Jiang, and Qingjiang Shi, “Relaxed Gradient Projection for PCI Assignment in 5G Network,” The 14th IEEE/CIC International Conference on Communications in China (ICCC 2025).
Wireless WMChannel ModelingXinyu Qin, Shutao Zhang, Bingsheng Peng, Ye Xue†, Chao Shen, Qiliang Xie, Yuk Ngai Lee, and Tsung-Hui Chang, “A Deep Learning Framework for Large-Scale Localized Statistical Channel Modeling,” IEEE GLOBECOM 2025 Workshop.
Wireless WMMultimodalYiheng Wang, Shutao Zhang, Ye Xue†, and Tsung-Hui Chang, “Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling,” IEEE GLOBECOM 2025 Workshop.
XAISparse CodingYifei Shen*, Ye Xue*, Jun Zhang, Khaled B. Letaief, and Vincent K. N. Lau, “Complete Dictionary Learning via ℓp-norm Maximization,” Proc. Conference on Uncertainty in Artificial Intelligence (UAI), PMLR vol. 124, pp. 280–289, 2020.
XAIFederatedDuanyi Yao, Songze Li, Ye Xue, and Jin Liu, “Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit,” International Conference on Learning Representations (ICLR 2024).
Wireless WMChannel ModelingY. Wang, S. Zhang, Ye Xue†, T. Yu, Q. Shi, and T.-H. Chang, “Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling,” IEEE ICC 2024, Denver, CO, USA, pp. 342–347, 2024.
Wireless WMBeamformingX. Ning, S. Zhang, Ye Xue†, X. Zheng, Q. Shi, and T.-H. Chang, “Learning Beams Adaptive to the Environment: An RSRP-based Codebook Design,” IEEE SPAWC 2023, Shanghai, China, pp. 521–525, 2023.
Efficient AIYe Xue, An Liu, Yang Li, Qingjiang Shi, and Vincent K. N. Lau, “Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC,” IEEE International Conference on Communications (ICC), Rome, Italy, 2023.
Efficient AIYe Xue, Chuan Zhang, Shunqing Zhang, Zhizhen Wu, and Xiaohu You, “Steepest Descent Method Based Soft-Output Detection for Massive MIMO Uplink,” IEEE SiPS 2016, Dallas, TX, USA, pp. 273–278, 2016.
Efficient AIYe Xue, Chuan Zhang, Shunqing Zhang, and Xiaohu You, “A Fast-Convergent Pre-conditioned Conjugate Gradient Detection for Massive MIMO Uplink,” IEEE DSP 2016, Beijing, China, pp. 331–335, 2016.
Efficient AIJiejun Jin, Ye Xue, Yeong-Luh Ueng, Xiaohu You, and Chuan Zhang, “A Split Pre-conditioned Conjugate Gradient Method for Massive MIMO Detection,” IEEE SiPS 2017, Lorient, France, pp. 1–6, 2017.
Efficient AIYufeng Yang, Ye Xue, Xiaohu You, and Chuan Zhang, “An Efficient Conjugate Residual Detector for Massive MIMO Systems,” IEEE SiPS 2017, Lorient, France, pp. 1–6, 2017.
Efficient AIZhizhen Wu, Ye Xue, Xiaohu You, and Chuan Zhang, “Hardware Efficient Detection for Massive MIMO Uplink with Parallel Gauss–Seidel Method,” IEEE DSP 2017, London, UK, pp. 1–5, 2017.
Efficient AIZhizhen Wu, Chuan Zhang, Ye Xue, Shugong Xu, and Xiaohu You, “Efficient Architecture for Soft-Output Massive MIMO Detection with Gauss–Seidel Method,” IEEE ISCAS 2016, Montreal, QC, Canada, pp. 1886–1889, 2016.
Ziyao Wang, Ye Xue, Zhijie Dong, Ziyuan Li, Congyue Zhang, and Yingzi Tan, “A Scheme of Transmission System in Micro Robotics Based on Combined Information Data,” 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering, pp. 68–74, 2016.
Wei Cheng, Ye Xue, Chuan Liu, and Ying-zi Tan, “An Efficient Method of Recognition Human Motion in Human-Robot Interaction System,” Electrical Engineering and Automation, pp. 785–793.
Ph.D. Thesis
XAISparse CodingYe Xue, “High-Dimensional Nonconvex Dictionary Learning: Theories, Algorithms, and Applications,” Ph.D. Thesis, Hong Kong University of Science and Technology, 2022.
Selected Patents
30+ patents with 8 granted, 1 PCT patent, 1 US patent.
Shutao Zhang, Xinzhi Ning, Xi Zheng, Qingjiang Shi, Tsung-Hui Chang, Ye Xue, Yang Li, and Zhi-Quan Luo, “Wireless Communication Channel Evaluation: Methods and Associated System Architecture,”
Ye Xue, Yiheng Wang, Shutao Zhang, Tianshu Yu, Zhaohui Yang, Qingjiang Shi, and Tsung-Hui Chang, “Wireless Environment Prediction System: Method, Apparatus, Electronic Device, and Computer-Readable Storage Medium,”
Ma Mengyao, Ye Xue, and Vincent Kin Nang Lau, “Data Processing Methods and Related Equipment,”
Chuan Zhang, Jiejun Jin, Ye Xue, and Xiaohu You, “A Generic Descent Search Method for Signal Detection in Massive MIMO Systems,”
Chuan Zhang, Ye Xue, and Xiaohu You, “MIMO Linear Iteration Detection Method under Non-ideal Communication Channels,”