b'Weiqiang Wang'

research

∙ 09/18/2023

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks

Federated training of Graph Neural Networks (GNN) has become popular in ...

0 Qiying Pan, et al. ∙

research

∙ 08/19/2023

ControlCom: Controllable Image Composition using Diffusion Model

Image composition targets at synthesizing a realistic composite image fr...

0 Bo Zhang, et al. ∙

research

∙ 08/17/2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data

Federated learning (FL) is a distributed machine learning paradigm that ...

0 Xinting Liao, et al. ∙

research

∙ 08/17/2023

Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer

Most state-of-the-art deep domain adaptation techniques align source and...

0 Liyue Chen, et al. ∙

research

∙ 08/15/2023

Backpropagation Path Search On Adversarial Transferability

Deep neural networks are vulnerable to adversarial examples, dictating t...

0 Zhuoer Xu, et al. ∙

research

∙ 07/27/2023

End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters

Change detection based on remote sensing images has been a prominent are...

0 Guiqin Zhao, et al. ∙

research

∙ 06/11/2023

Compositional Prototypical Networks for Few-Shot Classification

It is assumed that pre-training provides the feature extractor with stro...

0 Qiang Lyu, et al. ∙

research

∙ 05/18/2023

DiffUTE: Universal Text Editing Diffusion Model

Diffusion model based language-guided image editing has achieved great s...

0 Haoxing Chen, et al. ∙

research

∙ 05/16/2023

Mobile User Interface Element Detection Via Adaptively Prompt Tuning

Recent object detection approaches rely on pretrained vision-language mo...

0 Zhangxuan Gu, et al. ∙

research

∙ 04/06/2023

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding

Knowledge Graph Embedding (KGE) is a fundamental technique that extracts...

0 Yuke Hu, et al. ∙

research

∙ 03/18/2023

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions

We present neural frailty machine (NFM), a powerful and flexible neural ...

0 Ruofan Wu, et al. ∙

research

∙ 03/06/2023

DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk

Graph representation plays an important role in the field of financial r...

0 Jiafu Wu, et al. ∙

research

∙ 02/04/2023

GRANDE: a neural model over directed multigraphs with application to anti-money laundering

The application of graph representation learning techniques to the area ...

0 Ruofan Wu, et al. ∙

research

∙ 01/27/2023

SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention

With the frequent happening of privacy leakage and the enactment of priv...

0 Xiaolong Xu, et al. ∙

research

∙ 12/06/2022

DiffusionInst: Diffusion Model for Instance Segmentation

Recently, diffusion frameworks have achieved comparable performance with...

0 Zhangxuan Gu, et al. ∙

research

∙ 12/01/2022

Differentially Private Learning with Per-Sample Adaptive Clipping

Privacy in AI remains a topic that draws attention from researchers and ...

0 Tianyu Xia, et al. ∙

research

∙ 11/16/2022

Hierarchical Dynamic Image Harmonization

Image harmonization is a critical task in computer vision, which aims to...

0 Haoxing Chen, et al. ∙

research

∙ 10/07/2022

A2: Efficient Automated Attacker for Boosting Adversarial Training

Based on the significant improvement of model robustness by AT (Adversar...

0 Zhuoer Xu, et al. ∙

research

∙ 09/27/2022

NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System

We present a neural network-based system for long-term, multi-action hum...

0 Weiqiang Wang, et al. ∙

research

∙ 08/24/2022

K-Order Graph-oriented Transformer with GraAttention for 3D Pose and Shape Estimation

We propose a novel attention-based 2D-to-3D pose estimation network for ...

0 Weixi Zhao, et al. ∙

research

∙ 07/04/2022

Explore Faster Localization Learning For Scene Text Detection

Generally pre-training and long-time training computation are necessary ...

0 Yuzhong Zhao, et al. ∙

research

∙ 05/20/2022

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders

We present masked graph autoencoder (MaskGAE), a self-supervised learnin...

0 Jintang Li, et al. ∙

research

∙ 04/20/2022

GUARD: Graph Universal Adversarial Defense

Recently, graph convolutional networks (GCNs) have shown to be vulnerabl...

0 Jintang Li, et al. ∙

research

∙ 03/14/2022

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

Recently, various multimodal networks for Visually-Rich Document Underst...

0 Zhangxuan Gu, et al. ∙

research

∙ 01/17/2022

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees

Despite the success of deep learning in computer vision and natural lang...

0 ZhenZhe Ying, et al. ∙

research

∙ 09/17/2021

GraFormer: Graph Convolution Transformer for 3D Pose Estimation

Exploiting relations among 2D joints plays a crucial role yet remains se...

8 Weixi Zhao, et al. ∙

research

∙ 09/03/2021

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

Since training a large-scale backdoored model from scratch requires a la...

2 Zhiyuan Zhang, et al. ∙

research

∙ 07/03/2021

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing

Deep learning provides a promising way to extract effective representati...

6 Hui Li, et al. ∙

research

∙ 06/22/2021

A Vertical Federated Learning Framework for Graph Convolutional Network

Recently, Graph Neural Network (GNN) has achieved remarkable success in ...

0 Xiang Ni, et al. ∙

research

∙ 11/19/2020

Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering

With only bounding-box annotations in the spatial domain, existing video...

0 Yuanqiang Cai, et al. ∙

research

∙ 04/20/2020

Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network

Chinese is one of the most widely used languages in the world, yet onlin...

0 Ji Gan, et al. ∙

research

∙ 03/18/2020

Rethinking Object Detection in Retail Stores

The convention standard for object detection uses a bounding box to repr...

0 Yuanqiang Cai, et al. ∙

research

∙ 09/25/2019

Guided Attention Network for Object Detection and Counting on Drones

Object detection and counting are related but challenging problems, espe...

12 Yuanqiang Cai, et al. ∙

research

∙ 04/25/2019

Learning Discriminative Features Via Weights-biased Softmax Loss

Loss functions play a key role in training superior deep neural networks...

0 XiaoBin Li, et al. ∙

research

∙ 04/24/2019

A Novel Re-weighting Method for Connectionist Temporal Classification

The connectionist temporal classification (CTC) enables end-to-end seque...

0 Hongzhu Li, et al. ∙

research

∙ 11/10/2017

Egocentric Hand Detection Via Dynamic Region Growing

Egocentric videos, which mainly record the activities carried out by the...

0 Shao Huang, et al. ∙

research

∙ 11/08/2017

A New Hybrid-parameter Recurrent Neural Networks for Online Handwritten Chinese Character Recognition

The recurrent neural network (RNN) is appropriate for dealing with tempo...

0 Haiqing Ren, et al. ∙

Weiqiang Wang

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