42 citations · 107 across the 21 of their papers we have counts for
21 papers
Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication
Runnan Liu, Liang Liu, Dazhi He +2
The knowledge of channel covariance matrices is of paramount importance to the estimation of instantaneous channels and the design of beamforming vectors in multi-antenna systems.…
MIMO Transmission Under Discrete Input Signal Constraints
Jie Feng, Biqian Feng, Yongpeng Wu +2
In this paper, we propose a multiple-input multipleoutput (MIMO) transmission strategy that is closer to the Shannon limit than the existing strategies. Different from most existin…
QoE Driven VR 360 Video Massive MIMO Transmission
Long Teng, Guangtao Zhai, Yongpeng Wu +4
Massive multiple-input and multiple-output (MIMO) enables ultra-high throughput and low latency for tile-based adaptive virtual reality (VR) 360 video transmission in wireless netw…
Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems
Junyuan Gao, Yongpeng Wu, Yongjian Wang +2
In cell-free massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, user equipments (UEs) are served by many distributed access po…
Massive Unsourced Random Access for Massive MIMO Correlated Channels
Xinyu Xie, Yongpeng Wu, Junyuan Gao +1
This paper investigates the massive random access for a huge amount of user devices served by a base station (BS) equipped with a massive number of antennas. We consider a grant-fr…
SPARC-LDPC Coding for MIMO Massive Unsourced Random Access
Tianya Li, Yongpeng Wu, Mengfan Zheng +2
A joint sparse-regression-code (SPARC) and low-density-parity-check (LDPC) coding scheme for multiple-input multiple-output (MIMO) massive unsourced random access (URA) is proposed…
Energy-efficiency of Massive Random Access with Individual Codebook
Junyuan Gao, Yongpeng Wu, Wenjun Zhang
The massive machine-type communication has been one of the most representative services for future wireless networks. It aims to support massive connectivity of user equipments (UE…
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Hang Wang, Minghao Xu, Bingbing Ni +1
Transferring knowledges learned from multiple source domains to target domain is a more practical and challenging task than conventional single-source domain adaptation. Furthermor…
Polar Coding and Sparse Spreading for Massive Unsourced Random Access
Mengfan Zheng, Yongpeng Wu, Wenjun Zhang
In this paper, we propose a new polar coding scheme for the unsourced, uncoordinated Gaussian random access channel. Our scheme is based on sparse spreading, treat interference as…
Cross-domain Detection via Graph-induced Prototype Alignment
Minghao Xu, Hang Wang, Bingbing Ni +2
Applying the knowledge of an object detector trained on a specific domain directly onto a new domain is risky, as the gap between two domains can severely degrade model's performan…
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni +4
Recent works on domain adaptation reveal the effectiveness of adversarial learning on filling the discrepancy between source and target domains. However, two common limitations exi…
An Algorithm for Transmitting VR Video Based on Adaptive Modulation
Jie Feng, Yongpeng Wu, Guangtao Zhai +2
Virtual reality (VR) is making waves around the world recently. However, traditional video streaming is not suitable for VR video because of the huge size and view switch requireme…
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks
Muming Zhao, Jian Zhang, Chongyang Zhang +1
High-density object counting in surveillance scenes is challenging mainly due to the drastic variation of object scales. The prevalence of deep learning has largely boosted the obj…
Online Multi-Object Tracking with Dual Matching Attention Networks
Ji Zhu, Hua Yang, Nian Liu +3
In this paper, we propose an online Multi-Object Tracking (MOT) approach which integrates the merits of single object tracking and data association methods in a unified framework t…
Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer
Shiyu Ning, Hongteng Xu, Li Song +2
Transferring a low-dynamic-range (LDR) image to a high-dynamic-range (HDR) image, which is the so-called inverse tone mapping (iTM), is an important imaging technique to improve vi…
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Yan Wang, Lingxi Xie, Siyuan Qiao +3
Convolution is spatially-symmetric, i.e., the visual features are independent of its position in the image, which limits its ability to utilize contextual cues for visual recogniti…
QoE-Oriented Resource Allocation for 360-degree Video Transmission over Heterogeneous Networks
Wei Huang, Lianghui Ding, Hung-Yu Wei +3
Immersive media streaming, especially virtual reality (VR)/360-degree video streaming which is very bandwidth demanding, has become more and more popular due to the rapid growth of…
Viewport Adaptation-Based Immersive Video Streaming: Perceptual Modeling and Applications
Shaowei Xie, Qiu Shen, Yiling Xu +4
Immersive video offers the freedom to navigate inside virtualized environment. Instead of streaming the bulky immersive videos entirely, a viewport (also referred to as field of vi…
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang, Lingxi Xie, Chenxi Liu +3
In this paper, we reveal the importance and benefits of introducing second-order operations into deep neural networks. We propose a novel approach named Second-Order Response Trans…
The Performance Analysis of Coded Cache in Wireless Fading Channel
Wei Huang, Sinong Wang, Lianghui Ding +2
The rapid growth of data volume and the accompanying congestion problems over the wireless networks have been critical issues to content providers. A novel technique, termed as cod…
A New SLNR-based Linear Precoding for Downlink Multi-User Multi-Stream MIMO Systems
Peng Cheng, Meixia Tao, Wenjun Zhang
Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear precoder design in multi-user (MU) multiple-input multiple-output (MIMO) systems. It decouples the prec…