b'Tianyu Yang'

DeepAI

Featured Co-authors

Wei Liu
333 publications
Wei Li
253 publications
Giuseppe Caire
137 publications
Bruno Clerckx
109 publications
Jue Wang
95 publications
Hao Xu
78 publications
Yuexian Zou
70 publications
Shlomo Shamai
60 publications
Ziyu Wang
55 publications
Kai-Kit Wong
44 publications
Xinpeng Zhang
42 publications

research

∙ 01/11/2023

Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems

As the array dimension of massive MIMO systems increases to unprecedente...

Tianyu Yang, et al. ∙

research

∙ 12/07/2022

SimVTP: Simple Video Text Pre-training with Masked Autoencoders

This paper presents SimVTP: a Simple Video-Text Pretraining framework vi...

Yue Ma, et al. ∙

research

∙ 08/22/2022

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization

Matching-based methods, especially those based on space-time memory, are...

Zhihui Lin, et al. ∙

research

∙ 07/21/2022

FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes

We study the problem of providing channel state information (CSI) at the...

Mahdi Barzegar Khalilsarai, et al. ∙

research

∙ 07/21/2022

LocVTP: Video-Text Pre-training for Temporal Localization

Video-Text Pre-training (VTP) aims to learn transferable representations...

Meng Cao, et al. ∙

research

∙ 03/25/2022

Unsupervised Pre-training for Temporal Action Localization Tasks

Unsupervised video representation learning has made remarkable achieveme...

Can Zhang, et al. ∙

research

∙ 03/08/2022

A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds

Recent works on 3D single object tracking treat the tracking as a target...

Yan Xia, et al. ∙

research

∙ 03/08/2022

Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding

Linguistic steganography (LS) aims to embed secret information into a hi...

Tianyu Yang, et al. ∙

research

∙ 02/03/2022

Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback

We consider the problem of estimating channel fading coefficients (model...

Mahdi Barzegar Khalilsarai, et al. ∙

research

∙ 10/07/2021

Structured Channel Covariance Estimation from Limited Samples for Large Antenna Arrays

In massive MIMO systems, the knowledge of channel covariance matrix is c...

Tianyu Yang, et al. ∙

research

∙ 09/30/2021

Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging

In light of the success of contrastive learning in the image domain, cur...

Shuangrui Ding, et al. ∙

research

∙ 07/29/2021

Achievable Regions and Precoder Designs for the Multiple Access Wiretap Channels with Confidential and Open Messages

This paper investigates the secrecy capacity region of multiple access w...

Hao Xu, et al. ∙

research

∙ 07/18/2021

Quantization-Aided Secrecy: FD C-RAN Communications with Untrusted Radios

In this work, we study a full-duplex (FD) cloud radio access network (C-...

Omid Taghizadeh, et al. ∙

research

∙ 06/11/2021

New challenges in covariance estimation: multiple structures and coarse quantization

In this self-contained chapter, we revisit a fundamental problem of mult...

Johannes Maly, et al. ∙

research

∙ 03/10/2021

VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples

MoCo is effective for unsupervised image representation learning. In thi...

Tian Pan, et al. ∙

research

∙ 02/21/2021

Information Bottleneck for a Rayleigh Fading MIMO Channel with an Oblivious Relay

This paper considers the information bottleneck (IB) problem of a Raylei...

Hao Xu, et al. ∙

research

∙ 01/24/2021

Information Bottleneck for an Oblivious Relay with Channel State Information: the Vector Case

This paper considers the information bottleneck (IB) problem of a Raylei...

Hao Xu, et al. ∙

research

∙ 08/25/2020

Dual-Polarized FDD Massive MIMO: A Comprehensive Framework

We propose a comprehensive scheme for realizing a massive multiple-input...

Mahdi Barzegar Khalilsarai, et al. ∙

research

∙ 12/10/2019

On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting

The convex property of a nonlinear wireless power transfer (WPT) is char...

Yulin Hu, et al. ∙

research

∙ 12/05/2019

Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO

A large majority of cellular networks deployed today make use of Frequen...

Mahdi Barzegar Khalilsarai, et al. ∙

research

∙ 10/31/2019

Structured Channel Covariance Estimation from Limited Samples in Massive MIMO

Obtaining channel covariance knowledge is of great importance in various...

Mahdi Barzegar Khalilsarai, et al. ∙

research

∙ 07/28/2019

ROAM: Recurrently Optimizing Tracking Model

Online updating a tracking model to adapt to object appearance variation...

Tianyu Yang, et al. ∙

research

∙ 07/12/2019

Visual Tracking via Dynamic Memory Networks

Template-matching methods for visual tracking have gained popularity rec...

Tianyu Yang, et al. ∙

research

∙ 05/24/2019

Generative adversarial network based on chaotic time series

Generative adversarial network (GAN) is gaining increased importance in ...

Makoto Naruse, et al. ∙

research

∙ 03/20/2018

Learning Dynamic Memory Networks for Object Tracking

Template-matching methods for visual tracking have gained popularity rec...

Tianyu Yang, et al. ∙

research

∙ 02/14/2018

Sum Secrecy Rate Maximization in a Multi-Carrier MIMO Wiretap Channel with Full-Duplex Jamming

In this paper we address a worst-case weighted sum rate maximization pro...

Tianyu Yang, et al. ∙

research

∙ 08/13/2017

Recurrent Filter Learning for Visual Tracking

Recently using convolutional neural networks (CNNs) has gained popularit...

Tianyu Yang, et al. ∙