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08/29/2023
Robust Long-Tailed Learning via Label-Aware Bounded CVaR
Data in the real-world classification problems are always imbalanced or ...
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08/19/2023
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks
Voucher abuse detection is an important anomaly detection problem in E-c...
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08/18/2023
Training-Free Energy Beamforming Assisted by Wireless Sensing
This paper studies the transmit energy beamforming in a multi-antenna wi...
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08/08/2023
OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation
This paper presents OmniDataComposer, an innovative approach for multimo...
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07/15/2023
Prompt Tuning on Graph-augmented Low-resource Text Classification
Text classification is a fundamental problem in information retrieval wi...
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07/11/2023
Optimal Coordinated Transmit Beamforming for Networked Integrated Sensing and Communications
This paper studies a multi-antenna networked integrated sensing and comm...
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07/05/2023
Multi-IRS-Enabled Integrated Sensing and Communications
This paper studies a multi-intelligent-reflecting-surface-(IRS)-enabled ...
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07/01/2023
SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpening
Pansharpening is a process of fusing a high spatial resolution panchroma...
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06/27/2023
Energy-Efficient MIMO Integrated Sensing and Communications with On-off Non-transmission Power
This paper investigates the energy efficiency of a multiple-input multip...
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06/26/2023
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Accurate customer lifetime value (LTV) prediction can help service provi...
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06/21/2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...
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05/08/2023
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images
Semantic segmentation of multichannel images is a fundamental task for m...
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05/05/2023
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting
Text classification is a fundamental problem in information retrieval wi...
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03/24/2023
Tackling the infinite likelihood problem when fitting mixtures of shifted asymmetric Laplace distributions
Mixtures of shifted asymmetric Laplace distributions were introduced as ...
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02/21/2023
Link Prediction on Latent Heterogeneous Graphs
On graph data, the multitude of node or edge types gives rise to heterog...
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02/17/2023
Multi-unit Auction over a Social Network
Diffusion auction is an emerging business model where a seller aims to i...
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02/16/2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Graphs can model complex relationships between objects, enabling a myria...
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02/08/2023
On Generalized Degree Fairness in Graph Neural Networks
Conventional graph neural networks (GNNs) are often confronted with fair...
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02/07/2023
Learning to Count Isomorphisms with Graph Neural Networks
Subgraph isomorphism counting is an important problem on graphs, as many...
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01/09/2023
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
With the rapid development of classical and quantum machine learning, a ...
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12/29/2022
QPanda: high-performance quantum computing framework for multiple application scenarios
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and th...
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12/15/2022
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image
Semantic segmentation of Very High Resolution (VHR) remote sensing image...
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12/14/2022
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
Explainability of Graph Neural Networks (GNNs) is critical to various GN...
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07/07/2022
Energy-Efficient Transmit Beamforming and Antenna Selection with Non-Linear PA Efficiency
This letter studies the energy-efficient design in a downlink multi-ante...
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05/31/2022
Fundamental CRB-Rate Tradeoff in Multi-antenna Multicast Channel with ISAC
This paper studies the multi-antenna multicast channel with integrated s...
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05/27/2022
MIMO Integrated Sensing and Communication with Extended Target: CRB-Rate Tradeoff
This paper studies a multiple-input multiple-output (MIMO) integrated se...
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03/17/2022
Coordinated Power Control for Network Integrated Sensing and Communication
This correspondence paper studies a network integrated sensing and commu...
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12/30/2021
Motif Graph Neural Network
Graphs can model complicated interactions between entities, which natura...
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10/27/2021
Node-wise Localization of Graph Neural Networks
Graph neural networks (GNNs) emerge as a powerful family of representati...
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05/14/2021
Meta-Inductive Node Classification across Graphs
Semi-supervised node classification on graphs is an important research p...
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11/12/2020
Clustering microbiome data using mixtures of logistic normal multinomial models
Discrete data such as counts of microbiome taxa resulting from next-gene...
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09/03/2020
Spatial Transformer Point Convolution
Point clouds are unstructured and unordered in the embedded 3D space. In...
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07/19/2020
Recent Advances in Network-based Methods for Disease Gene Prediction
Disease-gene association through Genome-wide association study (GWAS) is...
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07/17/2020
Adaptive Task Sampling for Meta-Learning
Meta-learning methods have been extensively studied and applied in compu...
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06/15/2020
Emotion Recognition in Audio and Video Using Deep Neural Networks
Humans are able to comprehend information from multiple domains for e.g....
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05/17/2020
Multi-View Collaborative Network Embedding
Real-world networks often exist with multiple views, where each view des...
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05/11/2020
Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data
Mixtures of multivariate normal inverse Gaussian (MNIG) distributions ca...
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05/06/2020
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions
Non-Gaussian mixture models are gaining increasing attention for mixture...
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06/17/2017