33 citations · 47 across the 14 of their papers we have counts for
14 papers
Cross Far- and Near-Field Beam Management Technologies in Millimeter-Wave and Terahertz MIMO Systems
Yuhang Chen, Heyin Shen, Chong Han
The evolution of wireless communication toward next-generation networks introduces unprecedented demands on data rates, latency, and connectivity. To meet these requirements, two k…
Hybrid Beamforming with Widely-spaced-array for Multi-user Cross-Near-and-Far-Field Communications
Heyin Shen, Yuhang Chen, Chong Han +1
With multi-GHz bandwidth, Terahertz (THz) beamforming has drawn increasing attention in the sixth generation (6G) and beyond communications. Existing beamforming designs mainly foc…
Can Far-field Beam Training Be Deployed for Cross-field Beam Alignment in Terahertz UM-MIMO Communications?
Yuhang Chen, Chong Han, Emil Björnson
Ultra-massive multiple-input multiple-output (UM-MIMO) is the enabler of Terahertz (THz) communications in next-generation wireless networks. In THz UM-MIMO systems, a new paradigm…
Cross Far- and Near-field Wireless Communications in Terahertz Ultra-large Antenna Array Systems
Chong Han, Yuhang Chen, Longfei Yan +2
Terahertz (THz) band owning the abundant multi-ten-GHz bandwidth is capable to support Terabit-per-second wireless communications, which is a pillar technology for 6G and beyond sy…
Hybrid Spherical- and Planar-Wave Channel Modeling and Estimation for Terahertz Integrated UM-MIMO and IRS Systems
Yuhang Chen, Renwang Li, Chong Han +2
Integrated ultra-massive multiple-input multiple-output (UM-MIMO) and intelligent reflecting surface (IRS) systems are promising for 6G and beyond Terahertz (0.1-10 THz) communicat…
PRINCE: A Pruned AMP Integrated Deep CNN Method for Efficient Channel Estimation of Millimeter-wave and Terahertz Ultra-Massive MIMO Systems
Zhengdong Hu, Yuhang Chen, Chong Han
Millimeter-wave (mmWave) and Terahertz (THz)-band communications exploit the abundant bandwidth to fulfill the increasing data rate demands of 6G wireless communications. To compen…
Ergodic Achievable Rate Analysis and Optimization of RIS-assisted Millimeter-Wave MIMO Communication Systems
Renwang Li, Shu Sun, Yuhang Chen +2
Reconfigurable intelligent surfaces (RISs) have emerged as a prospective technology for next-generation wireless networks due to their potential in coverage and capacity enhancemen…
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version)
Shixuan Sun, Yuhang Chen, Shengliang Lu +2
As random walk is a powerful tool in many graph processing, mining and learning applications, this paper proposes an efficient in-memory random walk engine named ThunderRW. Compare…
Hybrid Spherical- and Planar-Wave Channel Modeling and DCNN-powered Estimation for Terahertz Ultra-massive MIMO Systems
Yuhang Chen, Longfei Yan, Chong Han
The Terahertz band is envisioned to meet the demanding 100 Gbps data rates for 6G wireless communications. Aiming at combating the distance limitation problem with low hardware-cos…
Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions
Yuhang Chen, Chih-Hong Cheng, Jun Yan +1
While object detection modules are essential functionalities for any autonomous vehicle, the performance of such modules that are implemented using deep neural networks can be, in…
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
Shixuan Sun, Yuhang Chen, Bingsheng He +1
We study the hop-constrained s-t path enumeration (HcPE) problem, which takes a graph , two distinct vertices and a hop constraint as input, and outputs all paths from…
Joint Inter-path and Intra-path Multiplexing for Terahertz Widely-spaced Multi-subarray Hybrid Beamforming Systems
Longfei Yan, Yuhang Chen, Chong Han +1
Terahertz (THz) communications with multi-GHz bandwidth are envisioned as a key technology for 6G systems. Ultra-massive (UM) MIMO with hybrid beamforming architectures are widely…
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images
Qianwei Zhou, Yuhang Chen, Baoqing Li +4
Although deep learning has achieved remarkable successes over the past years, few reports have been published about applying deep neural networks to Wireless Sensor Networks (WSNs)…
Towards the Automation of Deep Image Prior
Qianwei Zhou, Chen Zhou, Haigen Hu +3
Single image inverse problem is a notoriously challenging ill-posed problem that aims to restore the original image from one of its corrupted versions. Recently, this field has bee…