56 citations · 164 across the 37 of their papers we have counts for
38 papers
Wideband Physical Layer Security in Mixed Near-Field and Far-Field Communications
Yunpu Zhang, Changsheng You, Hing Cheung So
Prior studies on wideband physical layer security (PLS) have mostly focused on either far-field or near-field communication systems. In this paper, we investigate PLS in a more gen…
Electromagnetic Twin: From Sparse Measurements to Persistent Wireless Intelligence
Tuo Wu, Lifeng Mai, Jie Tang +7
Radio maps and channel knowledge maps provide reusable propagation knowledge, but a stored map can become locally outdated after persistent changes to doors, partitions, furniture,…
Positioning with Flexible Reflectors: Solution and Performance Analysis
Jiajun He, Han Yu, Danyan Lin +4
Flexible reflectors (FRs) have emerged as a low-cost and energy-efficient solution for reshaping electromagnetic propagation environments across a wide range of applications. This…
Enhanced Byzantine-Robust Federated Learning Via Truncated-Quadratic Loss for Heterogeneous Data
Zhi-Yong Wang, Hao Nan Sheng, Werner Stefan +3
Federated learning distributes data among clients, making it vulnerable to malicious attacks and data heterogeneity, which together pose challenges for robust learning. To tack…
Sparse Fluid Antenna Arrays: Continuous Position Design Beyond Classical DOF Limits
Tuo Wu, Jie Tang, Ye Tian +3
Fluid antenna system (FAS), which continuously repositions a single physical element across a deployment region , breaks this limit by freeing antenna positions from the di…
Rotatable Antenna Enabled Multi-Cell Mixed Near-Field and Far-Field Communications
Yunpu Zhang, Changsheng You, Ruichen Zhang +4
Prior studies on mixed near-field and far-field communications have focused exclusively on single-cell scenarios, where both near-field and far-field users are served by the same b…
Fundamental Analysis of Scalable Fluid Antenna Systems: Identifiability Limits, Information Theory, and Joint Processing
Tuo Wu, Kai-Kit Wong, Jie Tang +8
Unlike fixed-position arrays with static observation entropy, the scalable fluid antenna system (S-FAS) can dynamically adjust its aperture to form different observation spaces wit…
Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations
Yuxuan Yao, Haonan Sheng, Qingsong Lv +11
The escalating scale of Large Language Models (LLMs) necessitates efficient adaptation techniques. Model merging has gained prominence for its efficiency and controllability. Howev…
Rotatable Antenna Aided Mixed Near-Field and Far-Field Communications in the Upper Mid-Band: Interference Analysis and Joint Optimization
Yunpu Zhang, Changsheng You, Hing Cheung So +1
In this paper, we propose to leverage rotatable antennas (RAs) for improving the communication performance in mixed near-field and far-field communication systems by exploiting a n…
Target Localization with Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint Eigenvalue Decomposition
Guo-Zhao Liao, Xiao-Feng Gong, Wei Liu +1
This paper investigates target localization using a multistatic multiple-input multiple-output (MIMO) radar system with two distinct coprime array configurations: coprime L-shaped…
AROMA: Autonomous Rank-one Matrix Adaptation
Hao Nan Sheng, Zhi-yong Wang, Mingrui Yang +1
As large language models continue to grow in size, parameter-efficient fine-tuning (PEFT) has become increasingly crucial. While low-rank adaptation (LoRA) offers a solution throug…
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems
Ye Tian, Jiaji Ren, Tuo Wu +7
Terahertz (THz) communication combined with ultra-massive multiple-input multiple-output (UM-MIMO) technology is promising for 6G wireless systems, where fast and precise direction…
From Partial Calibration to Full Potential: A Two-Stage Sparse DOA Estimation for Incoherently-Distributed Sources with Gain-Phase Uncertainty
He Xu, Tuo Wu, Wei Liu +5
Direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources is essential in multipath wireless communication scenarios, yet it remains challenging due to the co…
Target Localization with a Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint EVD
Guo-Zhao Liao, Xiao-Feng Gong, Wei Liu +1
This paper addresses target localization using a multistatic multiple-input multiple-output (MIMO) radar system with coprime L-shaped receive arrays (CLsA). A target localization m…
Meta-Learning-Based Delayless Subband Adaptive Filter using Complex Self-Attention for Active Noise Control
Pengxing Feng, Hing Cheung So
Active noise control typically employs adaptive filtering to generate secondary noise, where the least mean square algorithm is the most widely used. However, traditional updating…
Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction
Yiyong Sun, Jiajun He, Zhidi Lin +3
Accurate prediction of mmWave time-varying channels is essential for mitigating the issue of channel aging in complex scenarios owing to high user mobility. Existing channel predic…
Performance Analysis and Low-Complexity Beamforming Design for Near-Field Physical Layer Security
Yunpu Zhang, Yuan Fang, Changsheng You +2
Extremely large-scale arrays (XL-arrays) have emerged as a key enabler in achieving the unprecedented performance requirements of future wireless networks, leading to a significant…
One-Bit Target Detection in Collocated MIMO Radar with Colored Background Noise
Yu-Hang Xiao, David Ramírez, Lei Huang +2
One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume and processing r…
Sparse array design for MIMO radar in multipath scenarios
Xuchen Li, Ronghao Lin, Hing Cheung So
Sparse array designs have focused mostly on angular resolution, peak sidelobe level and directivity factor of virtual arrays for multiple-input multiple-output (MIMO) radar. The no…
A semidefinite programming approach for robust elliptic localization
Wenxin Xiong, Yuming Chen, Jiajun He +4
This short communication addresses the problem of elliptic localization with outlier measurements. Outliers are prevalent in various location-enabled applications, and can signific…
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers
Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir
To alleviate the bias generated by the l1-norm in the low-rank tensor completion problem, nonconvex surrogates/regularizers have been suggested to replace the tensor nuclear norm,…
A framework to generate sparsity-inducing regularizers for enhanced low-rank matrix completion
Zhi-Yong Wang, Hing Cheung So
Applying half-quadratic optimization to loss functions can yield the corresponding regularizers, while these regularizers are usually not sparsity-inducing regularizers (SIRs). To…
Robust matrix completion via Novel M-estimator Functions
Zhi-Yong Wang, Hing Cheung So
M-estmators including the Welsch and Cauchy have been widely adopted for robustness against outliers, but they also down-weigh the uncontaminated data. To address this issue, we de…
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer
Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir
This paper presents a novel loss function referred to as hybrid ordinary-Welsch (HOW) and a new sparsity-inducing regularizer associated with HOW. We theoretically show that the re…