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Speech enhancement with weakly labelled data from AudioSet
Speech enhancement is a task to improve the intelligibility and perceptu...
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Blind Diagnosis for Millimeter-wave Massive MIMO Systems
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) s...
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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...
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StainNet: a fast and robust stain normalization network
Pathological images may have large variabilities in color intensities du...
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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...
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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...
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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 ...
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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...
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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...
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Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
Time-division-duplexing massive multiple-input multiple-output (MIMO) sy...
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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 ...
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Generative Model without Prior Distribution Matching
Variational Autoencoder (VAE) and its variations are classic generative ...
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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...
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Composite Signalling for DFRC: Dedicated Probing Signal or Not?
Dual-functional radar-communication (DFRC) is a promising new solution t...
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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 ...
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Xiaomingbot: A Multilingual Robot News Reporter
This paper proposes the building of Xiaomingbot, an intelligent, multili...
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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...
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Fast Dynamic Cuts, Distances and Effective Resistances via Vertex Sparsifiers
We present a general framework of designing efficient dynamic approximat...
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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...
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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...
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A Survey on Conversational Recommender Systems
Recommender systems are software applications that help users to find it...
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Content Adaptive and Error Propagation Aware Deep Video Compression
Recently, learning based video compression methods attract increasing at...
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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...
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Blurry Video Frame Interpolation
Existing works reduce motion blur and up-convert frame rate through two ...
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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...
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Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization
Kernel-based clustering algorithm can identify and capture the non-linea...
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Stable Sparse Subspace Embedding for Dimensionality Reduction
Sparse random projection (RP) is a popular tool for dimensionality reduc...
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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
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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...
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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...
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Hypothesis testing for populations of networks
It has become an increasingly common practice for scientists in modern s...
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Robust Federated Learning with Noisy Communication
Federated learning is a communication-efficient training process that al...
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Adversarial Example in Remote Sensing Image Recognition
With the wide application of remote sensing technology in various fields...
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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 ...
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Accelerating Federated Learning via Momentum Gradient Descent
Federated learning (FL) provides a communication-efficient approach to s...
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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...
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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...
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Computing and Communicating Functions in Disorganized Wireless Networks
For future wireless networks, enormous numbers of interconnections are r...
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MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
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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...
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User Validation of Recommendation Serendipity Metrics
Though it has been recognized that recommending serendipitous (i.e., sur...
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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...
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Sparse Representation Classification via Screening for Graphs
The sparse representation classifier (SRC) is shown to work well for ima...
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Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels
For graphs generated from stochastic blockmodels, adjacency spectral emb...
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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...
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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...
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Ranking-Based Autoencoder for Extreme Multi-label Classification
Extreme Multi-label classification (XML) is an important yet challenging...
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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...
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Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method
Convolutional neural networks (CNNs) are easily spoofed by adversarial e...
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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...
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