b'Li Chen'

Speech enhancement with weakly labelled data from AudioSet

Speech enhancement is a task to improve the intelligibility and perceptu...
02/19/2021 ∙ by Qiuqiang Kong, et al. ∙ 0 ∙ share

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Blind Diagnosis for Millimeter-wave Massive MIMO Systems

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) s...
01/25/2021 ∙ by Rui Sun, et al. ∙ 0 ∙ share

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BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing

The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecede...
01/24/2021 ∙ by Zhe Peng, et al. ∙ 0 ∙ share

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StainNet: a fast and robust stain normalization network

Pathological images may have large variabilities in color intensities du...
12/23/2020 ∙ by Hongtao Kang, et al. ∙ 42 ∙ share

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A spectral-based framework for hypothesis testing in populations of networks

In this paper, we propose a new spectral-based approach to hypothesis te...
11/24/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Robust Deep Learning with Active Noise Cancellation for Spatial Computing

This paper proposes CANC, a Co-teaching Active Noise Cancellation method...
11/16/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading

As an important method of handling potential uncertainties in numerical ...
11/03/2020 ∙ by Mingdong Zhang, et al. ∙ 0 ∙ share

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Visualization of Technical and Tactical Characteristics in Fencing

Fencing is a sport that relies heavily on the use of tactics. However, m...
11/03/2020 ∙ by Mingdong Zhang, et al. ∙ 0 ∙ share

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CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

Automated detection of curvilinear structures, e.g., blood vessels or ne...
10/15/2020 ∙ by Lei Mou, et al. ∙ 16 ∙ share

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Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO

Time-division-duplexing massive multiple-input multiple-output (MIMO) sy...
09/30/2020 ∙ by Rongjiang Nie, et al. ∙ 0 ∙ share

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RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

Training a modern deep neural network on massive labeled samples is the ...
09/28/2020 ∙ by Haifeng Li, et al. ∙ 4 ∙ share

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Generative Model without Prior Distribution Matching

Variational Autoencoder (VAE) and its variations are classic generative ...
09/23/2020 ∙ by Cong Geng, et al. ∙ 24 ∙ share

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Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks

We propose a simple and highly query-efficient black-box adversarial att...
09/15/2020 ∙ by Chen Ma, et al. ∙ 12 ∙ share

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Composite Signalling for DFRC: Dedicated Probing Signal or Not?

Dual-functional radar-communication (DFRC) is a promising new solution t...
09/08/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks

Many adversarial attacks have been proposed to investigate the security ...
09/02/2020 ∙ by Chen Ma, et al. ∙ 23 ∙ share

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Xiaomingbot: A Multilingual Robot News Reporter

This paper proposes the building of Xiaomingbot, an intelligent, multili...
07/12/2020 ∙ by Runxin Xu, et al. ∙ 0 ∙ share

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Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement

With the popularity of deep neural network, speech synthesis task has ac...
05/26/2020 ∙ by Dongyang Dai, et al. ∙ 0 ∙ share

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Fast Dynamic Cuts, Distances and Effective Resistances via Vertex Sparsifiers

We present a general framework of designing efficient dynamic approximat...
05/05/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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DAPnet: A double self-attention convolutional network for segmentation of point clouds

LiDAR point cloud has a complex structure and the 3D semantic labeling o...
04/18/2020 ∙ by Li Chen, et al. ∙ 8 ∙ share

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Large-scale Real-time Personalized Similar Product Recommendations

Similar product recommendation is one of the most common scenes in e-com...
04/12/2020 ∙ by Zhi Liu, et al. ∙ 0 ∙ share

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A Survey on Conversational Recommender Systems

Recommender systems are software applications that help users to find it...
04/01/2020 ∙ by Dietmar Jannach, et al. ∙ 7 ∙ share

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Content Adaptive and Error Propagation Aware Deep Video Compression

Recently, learning based video compression methods attract increasing at...
03/25/2020 ∙ by Guo Lu, et al. ∙ 0 ∙ share

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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

Change detection is a basic task of remote sensing image processing. The...
03/07/2020 ∙ by Jie Chen, et al. ∙ 15 ∙ share

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Blurry Video Frame Interpolation

Existing works reduce motion blur and up-convert frame rate through two ...
02/27/2020 ∙ by Wang Shen, et al. ∙ 2 ∙ share

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Uniform Interpolation Constrained Geodesic Learning on Data Manifold

In this paper, we propose a method to learn a minimizing geodesic within...
02/12/2020 ∙ by Cong Geng, et al. ∙ 9 ∙ share

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Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization

Kernel-based clustering algorithm can identify and capture the non-linea...
02/07/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Stable Sparse Subspace Embedding for Dimensionality Reduction

Sparse random projection (RP) is a popular tool for dimensionality reduc...
02/07/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Remote sensing image scene classification is a fundamental but challengi...
01/27/2020 ∙ by Jie Chen, et al. ∙ 7 ∙ share

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FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides

Multi-focus image fusion technologies compress different focus depth ima...
01/03/2020 ∙ by Xiebo Geng, et al. ∙ 32 ∙ share

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SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

High-resolution remote sensing images (HRRSIs) contain substantial groun...
12/19/2019 ∙ by Haifeng Li, et al. ∙ 0 ∙ share

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Hypothesis testing for populations of networks

It has become an increasingly common practice for scientists in modern s...
11/09/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Robust Federated Learning with Noisy Communication

Federated learning is a communication-efficient training process that al...
11/01/2019 ∙ by Fan Ang, et al. ∙ 22 ∙ share

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Adversarial Example in Remote Sensing Image Recognition

With the wide application of remote sensing technology in various fields...
10/29/2019 ∙ by Li Chen, et al. ∙ 3 ∙ share

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Dense Dilated Network with Probability Regularized Walk for Vessel Detection

The detection of retinal vessel is of great importance in the diagnosis ...
10/26/2019 ∙ by Lei Mou, et al. ∙ 5 ∙ share

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Accelerating Federated Learning via Momentum Gradient Descent

Federated learning (FL) provides a communication-efficient approach to s...
10/08/2019 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization

The different stain styles of cytopathological images have a negative ef...
09/11/2019 ∙ by Xihao Chen, et al. ∙ 12 ∙ share

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Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB

Insufficient labeled training datasets is one of the bottlenecks of 3D h...
09/11/2019 ∙ by Yumeng Zhang, et al. ∙ 0 ∙ share

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Computing and Communicating Functions in Disorganized Wireless Networks

For future wireless networks, enormous numbers of interconnections are r...
08/14/2019 ∙ by Fangzhou Wu, et al. ∙ 0 ∙ share

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MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks

Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
08/06/2019 ∙ by Chen Ma, et al. ∙ 0 ∙ share

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Change-point detection in dynamic networks via graphon estimation

We propose a general approach for change-point detection in dynamic netw...
08/05/2019 ∙ by Zifeng Zhao, et al. ∙ 0 ∙ share

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User Validation of Recommendation Serendipity Metrics

Though it has been recognized that recommending serendipitous (i.e., sur...
06/27/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks

Deep Learning has been widely applied in the area of image processing an...
06/15/2019 ∙ by Tianjie Mu, et al. ∙ 0 ∙ share

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Sparse Representation Classification via Screening for Graphs

The sparse representation classifier (SRC) is shown to work well for ima...
06/04/2019 ∙ by Cencheng Shen, et al. ∙ 0 ∙ share

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Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels

For graphs generated from stochastic blockmodels, adjacency spectral emb...
05/16/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading

Diabetic retinopathy (DR) is a common retinal disease that leads to blin...
05/15/2019 ∙ by Ziyuan Zhao, et al. ∙ 0 ∙ share

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To believe or not to believe: Validating explanation fidelity for dynamic malware analysis

Converting malware into images followed by vision-based deep learning al...
04/30/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Ranking-Based Autoencoder for Extreme Multi-label Classification

Extreme Multi-label classification (XML) is an important yet challenging...
04/11/2019 ∙ by Bingyu Wang, et al. ∙ 0 ∙ share

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Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions

My research lies in the intersection of security and machine learning. T...
04/03/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method

Convolutional neural networks (CNNs) are easily spoofed by adversarial e...
12/25/2018 ∙ by Li Chen, et al. ∙ 20 ∙ share

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Towards resilient machine learning for ransomware detection

There has been a surge of interest in using machine learning (ML) to aut...
12/21/2018 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Li Chen

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