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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...
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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...
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07/11/2023
Reinforcement Learning with Non-Cumulative Objective
In reinforcement learning, the objective is almost always defined as a c...
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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...
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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...
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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...
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02/23/2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization
This paper proposes a paradigm of uncertainty injection for training dee...
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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 ...
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10/07/2022
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction
Cognitive planning is the structural decomposition of complex tasks into...
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10/05/2022
Role of Deep Learning in Wireless Communications
Traditional communication system design has always been based on the par...
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07/09/2022
Scheduling Versus Contention for Massive Random Access in Massive MIMO Systems
Massive machine-type communications protocols have typically been design...
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05/12/2022
Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink
Reconfigurable intelligent surface (RIS) is capable of intelligently man...
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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...
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03/09/2022
Learning Progressive Distributed Compression Strategies from Local Channel State Information
This paper proposes a deep learning framework to design distributed comp...
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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...
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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...
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12/25/2021
Interference Nulling Using Reconfigurable Intelligent Surface
This paper investigates the interference nulling capability of reconfigu...
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12/08/2021
Active Sensing for Communications by Learning
This paper proposes a deep learning approach to a class of active sensin...
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12/03/2021
SSDL: Self-Supervised Dictionary Learning
The label-embedded dictionary learning (DL) algorithms generate influent...
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11/16/2021
Analysis of 5G academic Network based on graph representation learning method
With the rapid development of 5th Generation Mobile Communication Techno...
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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...
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04/10/2021
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?
Performing multi-objective Bayesian optimisation by scalarising the obje...
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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...
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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...
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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...
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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...
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11/23/2020
Action Concept Grounding Network for Semantically-Consistent Video Generation
Recent works in self-supervised video prediction have mainly focused on ...
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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...
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09/30/2020
Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate
Intelligent reflecting surface (IRS), consisting of massive number of tu...
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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-...
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09/16/2020
Exploiting Diversity for Ultra-Reliable and Low-Latency Wireless Control
This paper introduces a wireless communication protocol for industrial c...
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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...
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08/24/2020
Products-10K: A Large-scale Product Recognition Dataset
With the rapid development of electronic commerce, the way of shopping h...
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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,...
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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...
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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 ...
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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...
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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,...
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06/16/2020
Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks
Network densification and millimeter-wave technologies are key enablers ...
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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...
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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...
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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 ...
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03/08/2020
Adaptive Semantic-Visual Tree for Hierarchical Embeddings
Merchandise categories inherently form a semantic hierarchy with differe...
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02/10/2020
Massive Access for 5G and Beyond
Massive access, also known as massive connectivity or massive machine-ty...
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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...
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12/21/2019
Power Control for Massive MIMO Systems with Nonorthogonal Pilots
This letter shows that optimizing the transmit powers along with optimal...
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10/25/2019
CrevNet: Conditionally Reversible Video Prediction
Applying resolution-preserving blocks is a common practice to maximize i...
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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...
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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...
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06/22/2019