b'Wei Yu'

research

∙ 09/04/2023

Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models

With ever increasing parameters and computation, vision-language pre-tra...

0 Qiong Wu, et al. ∙

research

∙ 08/03/2023

Multi-Carrier Modulation: An Evolution from Time-Frequency Domain to Delay-Doppler Domain

The recently proposed orthogonal delay-Doppler division multiplexing (OD...

0 Hai Lin, et al. ∙

research

∙ 07/11/2023

Reinforcement Learning with Non-Cumulative Objective

In reinforcement learning, the objective is almost always defined as a c...

0 Wei Cui, et al. ∙

research

∙ 05/30/2023

On the Choice of Perception Loss Function for Learned Video Compression

We study causal, low-latency, sequential video compression when the outp...

0 Sadaf Salehkalaibar, et al. ∙

research

∙ 05/11/2023

Active Sensing for Two-Sided Beam Alignment and Reflection Design Using Ping-Pong Pilots

Beam alignment is an important task for millimeter-wave (mmWave) communi...

0 Tao Jiang, et al. ∙

research

∙ 02/26/2023

Learning cross space mapping via DNN using large scale click-through logs

The gap between low-level visual signals and high-level semantics has be...

0 Wei Yu, et al. ∙

research

∙ 02/23/2023

Uncertainty Injection: A Deep Learning Method for Robust Optimization

This paper proposes a paradigm of uncertainty injection for training dee...

0 Wei Cui, et al. ∙

research

∙ 10/26/2022

Scaling Law Analysis for Covariance Based Activity Detection in Cooperative Multi-Cell Massive MIMO

This paper studies the covariance based activity detection problem in a ...

0 Ziyue Wang, et al. ∙

research

∙ 10/07/2022

See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction

Cognitive planning is the structural decomposition of complex tasks into...

0 Maria Attarian, et al. ∙

research

∙ 10/05/2022

Role of Deep Learning in Wireless Communications

Traditional communication system design has always been based on the par...

0 Wei Yu, et al. ∙

research

∙ 07/09/2022

Scheduling Versus Contention for Massive Random Access in Massive MIMO Systems

Massive machine-type communications protocols have typically been design...

0 Justin Kang, et al. ∙

research

∙ 05/12/2022

Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink

Reconfigurable intelligent surface (RIS) is capable of intelligently man...

0 Zhongze Zhang, et al. ∙

research

∙ 04/02/2022

Energy Efficient HARQ for Ultrareliability via Novel Outage Probability Bound and Geometric Programming

Hybrid automatic repeat 1 request (HARQ) is a key enabler for ultrarelia...

0 Kaiming Shen, et al. ∙

research

∙ 03/09/2022

Learning Progressive Distributed Compression Strategies from Local Channel State Information

This paper proposes a deep learning framework to design distributed comp...

0 Foad Sohrabi, et al. ∙

research

∙ 02/14/2022

Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-aided mmWave MIMO Systems

This paper considers a reconfigurable intelligent surface (RIS)-aided mi...

0 Renwang Li, et al. ∙

research

∙ 12/27/2021

Degree-of-Freedom of Modulating Information in the Phases of Reconfigurable Intelligent Surface

This paper investigates the information theoretical limit of a reconfigu...

0 Hei Victor Cheng, et al. ∙

research

∙ 12/25/2021

Interference Nulling Using Reconfigurable Intelligent Surface

This paper investigates the interference nulling capability of reconfigu...

0 Tao Jiang, et al. ∙

research

∙ 12/08/2021

Active Sensing for Communications by Learning

This paper proposes a deep learning approach to a class of active sensin...

2 Foad Sohrabi, et al. ∙

research

∙ 12/03/2021

SSDL: Self-Supervised Dictionary Learning

The label-embedded dictionary learning (DL) algorithms generate influent...

20 Shuai Shao, et al. ∙

research

∙ 11/16/2021

Analysis of 5G academic Network based on graph representation learning method

With the rapid development of 5th Generation Mobile Communication Techno...

0 Xiaoming Li, et al. ∙

research

∙ 04/27/2021

Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access

We propose a computationally efficient algorithm for the device activity...

0 Ziyue Wang, et al. ∙

research

∙ 04/10/2021

What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?

Performing multi-objective Bayesian optimisation by scalarising the obje...

6 Clym Stock-Williams, et al. ∙

research

∙ 03/01/2021

Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading

This paper studies the device activity detection problem in a multi-cell...

0 Zhilin Chen, et al. ∙

research

∙ 02/06/2021

An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO

This paper proposes a computationally efficient algorithm to solve the j...

0 Ziyue Wang, et al. ∙

research

∙ 12/25/2020

Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment

This paper proposes a deep learning approach to the adaptive and sequent...

0 Foad Sohrabi, et al. ∙

research

∙ 12/22/2020

Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer

This paper proposes a novel and scalable reinforcement learning approach...

8 Wei Cui, et al. ∙

research

∙ 11/23/2020

Action Concept Grounding Network for Semantically-Consistent Video Generation

Recent works in self-supervised video prediction have mainly focused on ...

8 Wei Yu, et al. ∙

research

∙ 11/21/2020

Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems

This paper proposes a deep learning approach to channel sensing and down...

0 Kareem M. Attiah, et al. ∙

research

∙ 09/30/2020

Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate

Intelligent reflecting surface (IRS), consisting of massive number of tu...

0 Tao Jiang, et al. ∙

research

∙ 09/29/2020

DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data

In Internet of Things (IoT) driven smart-world systems, real-time crowd-...

0 Xuebin Ren, et al. ∙

research

∙ 09/16/2020

Exploiting Diversity for Ultra-Reliable and Low-Latency Wireless Control

This paper introduces a wireless communication protocol for industrial c...

0 Saeed R. Khosravirad, et al. ∙

research

∙ 08/25/2020

Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels with Compressing Relays

Uplink-downlink duality refers to the fact that under a sum-power constr...

0 Liang Liu, et al. ∙

research

∙ 08/24/2020

Products-10K: A Large-scale Product Recognition Dataset

With the rapid development of electronic commerce, the way of shopping h...

7 Yalong Bai, et al. ∙

research

∙ 08/12/2020

Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery

Exact recovery of K-sparse signals x ∈ℝ^n from linear measurements y=Ax,...

0 Jinming Wen, et al. ∙

research

∙ 07/30/2020

Minimum Feedback for Collision-Free Scheduling in Massive Random Access

Consider a massive random access scenario in which a small set of k acti...

0 Justin Singh Kang, et al. ∙

research

∙ 07/28/2020

1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding

The deployment of large-scale antenna arrays for cellular base stations ...

0 Ang Li, et al. ∙

research

∙ 07/13/2020

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO

This paper shows that deep neural network (DNN) can be used for efficien...

0 Foad Sohrabi, et al. ∙

research

∙ 06/22/2020

Optimizing Downlink Resource Allocation in Multiuser MIMO Networks via Fractional Programming and the Hungarian Algorithm

Optimizing the sum-log-utility for the downlink of multi-frequency band,...

0 Ahmad Ali Khan, et al. ∙

research

∙ 06/16/2020

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

Network densification and millimeter-wave technologies are key enablers ...

0 Mohamed Sana, et al. ∙

research

∙ 06/15/2020

Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure

Network virtualization is a key enabler for 5G systems to support the ex...

0 Antonio De Domenico, et al. ∙

research

∙ 05/25/2020

Semi-Submersible Wind Turbine Hull Shape Design for a Favorable System Response Behavior

Floating offshore wind turbines are a novel technology, which has reache...

0 Frank Lemmer, et al. ∙

research

∙ 03/09/2020

Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO

This paper considers the massive random access problem in which a large ...

0 Zhilin Chen, et al. ∙

research

∙ 03/08/2020

Adaptive Semantic-Visual Tree for Hierarchical Embeddings

Merchandise categories inherently form a semantic hierarchy with differe...

0 Shuo Yang, et al. ∙

research

∙ 02/10/2020

Massive Access for 5G and Beyond

Massive access, also known as massive connectivity or massive machine-ty...

0 Xiaoming Chen, et al. ∙

research

∙ 12/25/2019

Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling

The massive sensing data generated by Internet-of-Things will provide fu...

0 Xiaoyang Li, et al. ∙

research

∙ 12/21/2019

Power Control for Massive MIMO Systems with Nonorthogonal Pilots

This letter shows that optimizing the transmit powers along with optimal...

0 Xihan Chen, et al. ∙

research

∙ 10/25/2019

CrevNet: Conditionally Reversible Video Prediction

Applying resolution-preserving blocks is a common practice to maximize i...

0 Wei Yu, et al. ∙

research

∙ 10/10/2019

Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder

Sparse support recovery arises in many applications in communications an...

0 Shuaichao Li, et al. ∙

research

∙ 07/29/2019

Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference

Edge machine learning can deliver low-latency and private artificial int...

0 Kai Yang, et al. ∙

research

∙ 06/22/2019

Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO versus Cooperative MIMO

This paper considers sparse device activity detection for cellular machi...

0 Zhilin Chen, et al. ∙

Wei Yu

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