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08/02/2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
While language-guided image manipulation has made remarkable progress, t...
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06/01/2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Diffusion-based Generative Models (DGMs) have achieved unparalleled perf...
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12/08/2022
Learning Domain Invariant Prompt for Vision-Language Models
Prompt learning is one of the most effective and trending ways to adapt ...
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11/29/2022
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
Terahertz ultra-massive MIMO (THz UM-MIMO) is envisioned as one of the k...
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10/25/2022
High-Throughput Flexible Belief Propagation List Decoder for Polar Codes
Due to its high parallelism, belief propagation (BP) decoding can be imp...
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06/27/2022
Belief-selective Propagation Detection for MIMO Systems
Compared to the linear MIMO detectors, the Belief Propagation (BP) detec...
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05/18/2022
A Sequence Repetition Node-Based Successive Cancellation List Decoder for 5G Polar Codes: Algorithm and Implementation
Due to the low-latency and high-reliability requirements of 5G, low-comp...
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05/10/2022
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
Terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) is ...
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03/21/2022
Graph Neural Networks for Wireless Communications: From Theory to Practice
Deep learning-based approaches have been developed to solve challenging ...
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03/09/2022
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
This technical note describes the recent updates of Graphormer, includin...
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02/28/2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets
This technical note describes the recent updates of Graphormer, includin...
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01/10/2022
Spatiotemporal 2-D Channel Coding for Very Low Latency Reliable MIMO Transmission
To fully support vertical industries, 5G and its corresponding channel c...
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01/04/2022
Neural Piecewise-Constant Delay Differential Equations
Continuous-depth neural networks, such as the Neural Ordinary Differenti...
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11/05/2021
Recognizing Vector Graphics without Rasterization
In this paper, we consider a different data format for images: vector gr...
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11/03/2021
How Neural Architectures Affect Deep Learning for Communication Networks?
In recent years, there has been a surge in applying deep learning to var...
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10/01/2021
Learn to Communicate with Neural Calibration: Scalability and Generalization
The conventional design of wireless communication systems typically reli...
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08/17/2021
How Powerful is Graph Convolution for Recommendation?
Graph convolutional networks (GCNs) have recently enabled a popular clas...
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08/03/2021
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation
Channel estimation and beamforming play critical roles in frequency-divi...
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06/11/2021
Invariant Information Bottleneck for Domain Generalization
The main challenge for domain generalization (DG) is to overcome the pot...
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06/11/2021
AI Empowered Resource Management for Future Wireless Networks
Resource management plays a pivotal role in wireless networks, which, un...
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04/04/2021
Decentralized Statistical Inference with Unrolled Graph Neural Networks
In this paper, we investigate the decentralized statistical inference pr...
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08/03/2020
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems
Intelligent reflecting surfaces (IRSs) are revolutionary enablers for ne...
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07/15/2020
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
Deep learning has recently emerged as a disruptive technology to solve c...
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04/26/2020
Blind Data Detection in Massive MIMO via ℓ_3-norm Maximization over the Stiefel Manifold
Massive MIMO has been regarded as a key enabling technique for 5G and be...
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02/24/2020
Complete Dictionary Learning via ℓ_p-norm Maximization
Dictionary learning is a classic representation learning method that has...
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07/19/2019
A Graph Neural Network Approach for Scalable Wireless Power Control
Deep neural networks have recently emerged as a disruptive technology to...
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07/01/2019
Polar Codes with Memory
Polar codes with memory (PCM) are proposed in this paper: a pair of cons...
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03/07/2019
A General Construction and Encoder Implementation of Polar Codes
Similar to existing codes, puncturing and shortening are two general way...
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12/18/2018
LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples
Effective resource allocation plays a pivotal role for performance optim...
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07/01/2018