b'Zheng Ma'

research

∙ 08/08/2023

Low-complexity Resource Allocation for User Paired RSMA in Future 6G Wireless Networks

Rate-splitting multiple access (RSMA) uplink requires optimization of de...

0 Jiewen Hu, et al. ∙

research

∙ 08/06/2023

Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models

Vision-language models (VLMs) have shown impressive performance in subst...

0 Zheng Ma, et al. ∙

research

∙ 08/02/2023

ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora

Generating visually grounded image captions with specific linguistic sty...

0 Kanzhi Cheng, et al. ∙

research

∙ 08/02/2023

Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model

Current captioning approaches tend to generate correct but "generic" des...

0 Kanzhi Cheng, et al. ∙

research

∙ 05/11/2023

Numerical Stability for Differential Equations with Memory

In this work, we systematically investigate linear multi-step methods fo...

0 Guihong Wang, et al. ∙

research

∙ 04/03/2023

Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion

The use of Physics-informed neural networks (PINNs) has shown promise in...

0 Xiong-bin Yan, et al. ∙

research

∙ 12/03/2022

Distribution Fitting for Combating Mode Collapse in GANs

Mode collapse is still a major unsolved problem in generative adversaria...

0 Yanxiang Gong, et al. ∙

research

∙ 11/30/2022

Measuring the Competitive Pressure of Academic Journals and the Competitive Intensity within Subjects

A journal's impact and similarity with rivals is closely related to its ...

0 Zheng Ma, et al. ∙

research

∙ 11/22/2022

Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems

Fractional diffusion equations have been an effective tool for modeling ...

0 Xiong-bin Yan, et al. ∙

research

∙ 10/18/2022

Probing Cross-modal Semantics Alignment Capability from the Textual Perspective

In recent years, vision and language pre-training (VLP) models have adva...

4 Zheng Ma, et al. ∙

research

∙ 09/19/2022

MMF3: Neural Code Summarization Based on Multi-Modal Fine-Grained Feature Fusion

Background: Code summarization automatically generates the corresponding...

0 Zheng Ma, et al. ∙

research

∙ 08/13/2022

GEDI: A Graph-based End-to-end Data Imputation Framework

Data imputation is an effective way to handle missing data, which is com...

19 Katrina Chen, et al. ∙

research

∙ 06/18/2022

Off-Network Communications For Future Railway Mobile Communication Systems: Challenges and Opportunities

GSM-R is predicted to be obsoleted by 2030, and a suitable successor is ...

0 Jiewen Hu, et al. ∙

research

∙ 05/27/2022

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Accurate sensor calibration is a prerequisite for multi-sensor perceptio...

14 Guohang Yan, et al. ∙

research

∙ 05/07/2022

Unified Chinese License Plate Detection and Recognition with High Efficiency

Recently, deep learning-based methods have reached an excellent performa...

20 Yanxiang Gong, et al. ∙

research

∙ 04/12/2022

Cognitive Radio Inspired Uplink Rate-Splitting Multiple Access

With the exponential increase of the number of devices in the communicat...

0 Xiao Yue, et al. ∙

research

∙ 07/08/2021

MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs

In this paper, we propose a model-operator-data network (MOD-Net) for so...

15 Lulu Zhang, et al. ∙

research

∙ 05/25/2021

An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network

Deep neural network (DNN) usually learns the target function from low to...

4 Tao Luo, et al. ∙

research

∙ 03/23/2021

Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning

Previous feature alignment methods in Unsupervised domain adaptation(UDA...

11 Shiyu Tang, et al. ∙

research

∙ 03/02/2021

Network Pruning via Resource Reallocation

Channel pruning is broadly recognized as an effective approach to obtain...

9 Yuenan Hou, et al. ∙

research

∙ 01/30/2021

Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks

Why heavily parameterized neural networks (NNs) do not overfit the data ...

22 Yaoyu Zhang, et al. ∙

research

∙ 12/06/2020

Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning

A supervised learning problem is to find a function in a hypothesis func...

4 Tao Luo, et al. ∙

research

∙ 10/15/2020

On the exact computation of linear frequency principle dynamics and its generalization

Recent works show an intriguing phenomenon of Frequency Principle (F-Pri...

7 Tao Luo, et al. ∙

research

∙ 07/29/2020

Feedback Capacities of Gaussian Multiple-Access Wiretap Channels

The feedback capacities of the Gaussian multiple-access channel (GMAC) a...

0 Bin Dai, et al. ∙

research

∙ 07/15/2020

Phase diagram for two-layer ReLU neural networks at infinite-width limit

How neural network behaves during the training over different choices of...

0 Tao Luo, et al. ∙

research

∙ 06/29/2020

Path Integral Based Convolution and Pooling for Graph Neural Networks

Graph neural networks (GNNs) extends the functionality of traditional ne...

10 Zheng Ma, et al. ∙

research

∙ 04/11/2020

Inter-Region Affinity Distillation for Road Marking Segmentation

We study the problem of distilling knowledge from a large deep teacher n...

7 Yuenan Hou, et al. ∙

research

∙ 03/03/2020

What's the relationship between CNNs and communication systems?

The interpretability of Convolutional Neural Networks (CNNs) is an impor...

0 Hao Ge, et al. ∙

research

∙ 01/30/2020

Recent development in kinetic theory of granular materials: analysis and numerical methods

Over the past decades, kinetic description of granular materials has rec...

0 Jose Antonio Carrillo, et al. ∙

research

∙ 12/30/2019

Defending from adversarial examples with a two-stream architecture

In recent years, deep learning has shown impressive performance on many ...

7 Hao Ge, et al. ∙

research

∙ 11/21/2019

Decentralized Consensus Optimization Based on Parallel Random Walk

The alternating direction method of multipliers (ADMM) has recently been...

0 Yu Ye, et al. ∙

research

∙ 09/25/2019

HaarPooling: Graph Pooling with Compressive Haar Basis

Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...

14 Yu Guang Wang, et al. ∙

research

∙ 09/17/2019

STELA: A Real-Time Scene Text Detector with Learned Anchor

To achieve high coverage of target boxes, a normal strategy of conventio...

0 Linjie Deng, et al. ∙

research

∙ 08/29/2019

Focus-Enhanced Scene Text Recognition with Deformable Convolutions

Recently, scene text recognition methods based on deep learning have spr...

0 Yanxiang Gong, et al. ∙

research

∙ 08/02/2019

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

Training deep models for lane detection is challenging due to the very s...

4 Yuenan Hou, et al. ∙

research

∙ 07/10/2019

Haar Transforms for Graph Neural Networks

Graph Neural Networks (GNNs) have become a topic of intense research rec...

0 Ming Li, et al. ∙

research

∙ 06/21/2019

Theory of the Frequency Principle for General Deep Neural Networks

Along with fruitful applications of Deep Neural Networks (DNNs) to reali...

0 Tao Luo, et al. ∙

research

∙ 05/31/2019

When Full Duplex Wireless Meets Non-Orthogonal Multiple Access: Opportunities and Challenges

Non-orthogonal multiple access (NOMA) is a promising radio access techno...

0 Xianhao Chen, et al. ∙

research

∙ 05/24/2019

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks

It remains a puzzle that why deep neural networks (DNNs), with more para...

0 Yaoyu Zhang, et al. ∙

research

∙ 05/19/2019

A type of generalization error induced by initialization in deep neural networks

How different initializations and loss functions affect the learning of ...

0 Yaoyu Zhang, et al. ∙

research

∙ 04/24/2019

PAN: Path Integral Based Convolution for Deep Graph Neural Networks

Convolution operations designed for graph-structured data usually utiliz...

0 Zheng Ma, et al. ∙

research

∙ 03/22/2019

Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

3D face reconstruction from a single 2D image is a challenging problem w...

8 Xiaoguang Tu, et al. ∙

research

∙ 02/25/2019

A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing

Since sparse unmixing has emerged as a promising approach to hyperspectr...

0 Longfei Ren, et al. ∙

research

∙ 01/21/2019

Generating Text Sequence Images for Recognition

Recently, methods based on deep learning have dominated the field of tex...

0 Yanxiang Gong, et al. ∙

research

∙ 01/19/2019

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

We study the training process of Deep Neural Networks (DNNs) from the Fo...

0 Zhi-Qin John Xu, et al. ∙

research

∙ 01/17/2019

Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture

Spatio-temporal information is very important to capture the discriminat...

0 Xiaoguang Tu, et al. ∙

research

∙ 01/17/2019

Deep Transfer Across Domains for Face Anti-spoofing

A practical face recognition system demands not only high recognition pe...

0 Xiaoguang Tu, et al. ∙

research

∙ 01/17/2019

Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing

Face anti-spoofing (a.k.a presentation attack detection) has drawn growi...

2 Xiaoguang Tu, et al. ∙

research

∙ 12/21/2018

NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning

Reinforcement learning agents need exploratory behaviors to escape from ...

0 Sirui Xie, et al. ∙

research

∙ 11/07/2018

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

The training of many existing end-to-end steering angle prediction model...

5 Yuenan Hou, et al. ∙

Zheng Ma

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