b'Yuan Fang'

research

∙ 08/29/2023

Robust Long-Tailed Learning via Label-Aware Bounded CVaR

Data in the real-world classification problems are always imbalanced or ...

0 Hong Zhu, et al. ∙

research

∙ 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...

0 Zhihao Wen, et al. ∙

research

∙ 08/18/2023

Training-Free Energy Beamforming Assisted by Wireless Sensing

This paper studies the transmit energy beamforming in a multi-antenna wi...

0 Li Zhang, et al. ∙

research

∙ 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...

0 Dongyang Yu, et al. ∙

research

∙ 07/15/2023

Prompt Tuning on Graph-augmented Low-resource Text Classification

Text classification is a fundamental problem in information retrieval wi...

0 Zhihao Wen, et al. ∙

research

∙ 07/11/2023

Optimal Coordinated Transmit Beamforming for Networked Integrated Sensing and Communications

This paper studies a multi-antenna networked integrated sensing and comm...

0 Gaoyuan Cheng, et al. ∙

research

∙ 07/05/2023

Multi-IRS-Enabled Integrated Sensing and Communications

This paper studies a multi-intelligent-reflecting-surface-(IRS)-enabled ...

0 Yuan Fang, et al. ∙

research

∙ 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...

0 Yuan Fang, et al. ∙

research

∙ 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...

0 Guanlin Wu, et al. ∙

research

∙ 06/26/2023

Contrastive Multi-view Framework for Customer Lifetime Value Prediction

Accurate customer lifetime value (LTV) prediction can help service provi...

0 Chuhan Wu, et al. ∙

research

∙ 06/21/2023

Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI

Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...

0 Zimeng Li, et al. ∙

research

∙ 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...

0 Yuanzhi Cai, et al. ∙

research

∙ 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...

0 Zhihao Wen, et al. ∙

research

∙ 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 ...

0 Yuan Fang, et al. ∙

research

∙ 02/21/2023

Link Prediction on Latent Heterogeneous Graphs

On graph data, the multitude of node or edge types gives rise to heterog...

0 Trung-Kien Nguyen, et al. ∙

research

∙ 02/17/2023

Multi-unit Auction over a Social Network

Diffusion auction is an emerging business model where a seller aims to i...

0 Yuan Fang, et al. ∙

research

∙ 02/16/2023

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

Graphs can model complex relationships between objects, enabling a myria...

0 Zemin Liu, et al. ∙

research

∙ 02/08/2023

On Generalized Degree Fairness in Graph Neural Networks

Conventional graph neural networks (GNNs) are often confronted with fair...

0 Zemin Liu, et al. ∙

research

∙ 02/07/2023

Learning to Count Isomorphisms with Graph Neural Networks

Subgraph isomorphism counting is an important problem on graphs, as many...

0 Xingtong Yu, et al. ∙

research

∙ 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 ...

0 Huanyu Bian, et al. ∙

research

∙ 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...

0 Menghan Dou, et al. ∙

research

∙ 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...

0 Yuanzhi Cai, et al. ∙

research

∙ 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...

0 Ruichu Cai, et al. ∙

research

∙ 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...

0 Yuan Fang, et al. ∙

research

∙ 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...

0 Zixiang Ren, et al. ∙

research

∙ 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...

0 Haocheng Hua, et al. ∙

research

∙ 03/17/2022

Coordinated Power Control for Network Integrated Sensing and Communication

This correspondence paper studies a network integrated sensing and commu...

0 Yi Huang, et al. ∙

research

∙ 12/30/2021

Motif Graph Neural Network

Graphs can model complicated interactions between entities, which natura...

0 Xuexin Chen, et al. ∙

research

∙ 10/27/2021

Node-wise Localization of Graph Neural Networks

Graph neural networks (GNNs) emerge as a powerful family of representati...

0 Zemin Liu, et al. ∙

research

∙ 05/14/2021

Meta-Inductive Node Classification across Graphs

Semi-supervised node classification on graphs is an important research p...

0 Zhihao Wen, et al. ∙

research

∙ 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...

0 Yuan Fang, et al. ∙

research

∙ 09/03/2020

Spatial Transformer Point Convolution

Point clouds are unstructured and unordered in the embedded 3D space. In...

20 Yuan Fang, et al. ∙

research

∙ 07/19/2020

Recent Advances in Network-based Methods for Disease Gene Prediction

Disease-gene association through Genome-wide association study (GWAS) is...

0 Sezin Kircali Ata, et al. ∙

research

∙ 07/17/2020

Adaptive Task Sampling for Meta-Learning

Meta-learning methods have been extensively studied and applied in compu...

5 Chenghao Liu, et al. ∙

research

∙ 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....

14 Mandeep Singh, et al. ∙

research

∙ 05/17/2020

Multi-View Collaborative Network Embedding

Real-world networks often exist with multiple views, where each view des...

12 Sezin Kircali Ata, et al. ∙

research

∙ 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...

0 Yuan Fang, et al. ∙

research

∙ 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...

0 Yuan Fang, et al. ∙

research

∙ 06/17/2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

The YouTube-8M video classification challenge requires teams to classify...

0 Zhe Wang, et al. ∙

Yuan Fang

Featured Co-authors