b'Rui Xu'

research

∙ 09/04/2023

Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian

Neural implicit representation is a promising approach for reconstructin...

0 Zixiong Wang, et al. ∙

research

∙ 08/11/2023

Rethinking the Localization in Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) is one of the most popular ...

0 Rui Xu, et al. ∙

research

∙ 07/26/2023

Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation

Relay-enabled backscatter communication (BC) is an intriguing paradigm t...

0 Rui Xu, et al. ∙

research

∙ 06/08/2023

Mesh-MLP: An all-MLP Architecture for Mesh Classification and Semantic Segmentation

With the rapid development of geometric deep learning techniques, many m...

0 Qiujie Dong, et al. ∙

research

∙ 06/02/2023

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities

Vulnerability detection is a critical problem in software security and a...

0 Tiehua Zhang, et al. ∙

research

∙ 04/23/2023

Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field

Estimating normals with globally consistent orientations for a raw point...

0 Rui Xu, et al. ∙

research

∙ 04/12/2023

AGI for Agriculture

Artificial General Intelligence (AGI) is poised to revolutionize a varie...

0 Guoyu Lu, et al. ∙

research

∙ 04/03/2023

Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data

Cross domain pulmonary nodule detection suffers from performance degrada...

0 Rui Xu, et al. ∙

research

∙ 03/07/2023

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention

Lung cancer is the leading cause of cancer death worldwide. The best sol...

0 Rui Xu, et al. ∙

research

∙ 01/28/2023

POSTER V2: A simpler and stronger facial expression recognition network

Facial expression recognition (FER) plays an important role in a variety...

0 Jiawei Mao, et al. ∙

research

∙ 12/18/2022

SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers

In this paper, we propose to compute Voronoi diagrams over mesh surfaces...

0 Shiqing Xin, et al. ∙

research

∙ 12/07/2022

RFEPS: Reconstructing Feature-line Equipped Polygonal Surface

Feature lines are important geometric cues in characterizing the structu...

0 Rui Xu, et al. ∙

research

∙ 11/24/2022

More comprehensive facial inversion for more effective expression recognition

Facial expression recognition (FER) plays a significant role in the ubiq...

0 Jiawei Mao, et al. ∙

research

∙ 11/22/2022

Converge to the Truth: Factual Error Correction via Iterative Constrained Editing

Given a possibly false claim sentence, how can we automatically correct ...

0 Jiangjie Chen, et al. ∙

research

∙ 09/19/2022

Rapid Recovery of Program Execution Under Power Failures for Embedded Systems with NVM

After power is switched on, recovering the interrupted program from the ...

0 Min Jia, et al. ∙

research

∙ 08/03/2022

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

Convolutional neural networks (CNNs) have been demonstrated to be highly...

0 Rui Xu, et al. ∙

research

∙ 06/07/2022

FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning

Spatial-temporal data contains rich information and has been widely stud...

0 Tiehua Zhang, et al. ∙

research

∙ 04/28/2022

Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints

However, current autoregressive approaches suffer from high latency. In ...

0 Chun Zeng, et al. ∙

research

∙ 04/28/2022

An Efficient Methodology to Identify Missing Tags in Large-Scale RFID Systems

Radio frequency identification (RFID) has been widely has broad applicat...

0 Chu Chu, et al. ∙

research

∙ 03/16/2022

E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning

The ability to recognize analogies is fundamental to human cognition. Ex...

11 Jiangjie Chen, et al. ∙

research

∙ 02/24/2022

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval

Sketch-based 3D shape retrieval is a challenging task due to the large d...

0 Rui Xu, et al. ∙

research

∙ 12/03/2021

SSDL: Self-Supervised Dictionary Learning

The label-embedded dictionary learning (DL) algorithms generate influent...

20 Shuai Shao, et al. ∙

research

∙ 12/01/2021

MDFM: Multi-Decision Fusing Model for Few-Shot Learning

In recent years, researchers pay growing attention to the few-shot learn...

4 Shuai Shao, et al. ∙

research

∙ 11/14/2021

Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network

We build surrogate models for dynamic 3D subsurface single-phase flow pr...

11 Rui Xu, et al. ∙

research

∙ 11/12/2021

BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML

Along with the progress of AI democratization, machine learning (ML) has...

13 Yuhong Song, et al. ∙

research

∙ 10/25/2021

STransGAN: An Empirical Study on Transformer in GANs

Transformer becomes prevalent in computer vision, especially for high-le...

10 Rui Xu, et al. ∙

research

∙ 10/03/2021

Coverage Axis: Inner Point Selection for 3D Shape Skeletonization

In this paper, we present a simple yet effective formulation called Cove...

0 Zhiyang Dou, et al. ∙

research

∙ 09/16/2021

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

Few-shot learning (FSL) aims to address the data-scarce problem. A stand...

5 Shuai Shao, et al. ∙

research

∙ 03/24/2021

Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution

Existing color-guided depth super-resolution (DSR) approaches require pa...

0 Baoli Sun, et al. ∙

research

∙ 12/23/2020

BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training

The size of deep neural networks (DNNs) grows rapidly as the complexity ...

0 Letian Zhao, et al. ∙

research

∙ 12/09/2020

Positional Encoding as Spatial Inductive Bias in GANs

SinGAN shows impressive capability in learning internal patch distributi...

0 Rui Xu, et al. ∙

research

∙ 12/07/2020

CARAFE++: Unified Content-Aware ReAssembly of FEatures

Feature reassembly, i.e. feature downsampling and upsampling, is a key o...

0 Jiaqi Wang, et al. ∙

research

∙ 10/23/2020

DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization

For classification tasks, dictionary learning based methods have attract...

2 Shuai Shao, et al. ∙

research

∙ 10/23/2020

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning

In recent years, the attention mechanism contributes significantly to hy...

1 Shuai Shao, et al. ∙

research

∙ 10/16/2020

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data

Deep learning-based super-resolution (SR) techniques have generally achi...

0 Yinhao Li, et al. ∙

research

∙ 09/28/2020

Texture Memory-Augmented Deep Patch-Based Image Inpainting

Patch-based methods and deep networks have been employed to tackle image...

15 Rui Xu, et al. ∙

research

∙ 09/08/2020

Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow

Deep neural networks (DNNs) are widely used as surrogate models in geoph...

0 Rui Xu, et al. ∙

research

∙ 07/10/2020

Progressive Point Cloud Deconvolution Generation Network

In this paper, we propose an effective point cloud generation method, wh...

1 Le Hui, et al. ∙

research

∙ 06/19/2020

Discovering Symbolic Models from Deep Learning with Inductive Biases

We develop a general approach to distill symbolic representations of a l...

12 Miles Cranmer, et al. ∙

research

∙ 04/24/2020

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network

Many deep learning based methods have been proposed for retinal vessel s...

0 Rui Xu, et al. ∙

research

∙ 11/26/2019

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers

Lip reading has witnessed unparalleled development in recent years thank...

0 Ya Zhao, et al. ∙

research

∙ 11/25/2019

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Recent advances in adversarial attacks uncover the intrinsic vulnerabili...

0 Minghao Guo, et al. ∙

research

∙ 10/20/2019

Top-Down Shape Abstraction Based on Greedy Pole Selection

Motivated by the fact that the medial axis transform is able to encode n...

0 Zhiyang Dou, et al. ∙

research

∙ 09/12/2019

Learning Symbolic Physics with Graph Networks

We introduce an approach for imposing physically motivated inductive bia...

0 Miles D. Cranmer, et al. ∙

research

∙ 08/14/2019

A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading

Lip reading aims at decoding texts from the movement of a speaker's mout...

0 Ya Zhao, et al. ∙

research

∙ 08/01/2019

MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network

IP protocol is the core of TCP/IP network layer. However, since IP addre...

0 Hui Li, et al. ∙

research

∙ 06/17/2019

The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks

The Internet has become the most important infrastructure of modern soci...

0 Hui Li, et al. ∙

research

∙ 05/08/2019

Deep Flow-Guided Video Inpainting

Video inpainting, which aims at filling in missing regions of a video, r...

14 Rui Xu, et al. ∙

research

∙ 05/06/2019

CARAFE: Content-Aware ReAssembly of FEatures

Feature upsampling is a key operation in a number of modern convolutiona...

10 Jiaqi Wang, et al. ∙

research

∙ 04/17/2019

Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification

Dictionary learning methods can be split into two categories: i) class s...

0 Shuai Shao, et al. ∙

Rui Xu

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