
Dualconstrained Deep SemiSupervised Coupled Factorization Network with Enriched Prior
Nonnegative matrix factorization is usually powerful for learning the "s...
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A Mathematical Introduction to Generative Adversarial Nets (GAN)
Generative Adversarial Nets (GAN) have received considerable attention s...
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Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation
We consider the problem of sentence specified dynamic video thumbnail ge...
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Adaptive Video Highlight Detection by Learning from User History
Recently, there is an increasing interest in highlight detection researc...
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Provable NearOptimal LowMultilinearRank Tensor Recovery
We consider the problem of recovering a lowmultilinearrank tensor from...
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Fewshot Sceneadaptive Anomaly Detection
We address the problem of anomaly detection in videos. The goal is to id...
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CrossModal Weighting Network for RGBD Salient Object Detection
Depth maps contain geometric clues for assisting Salient Object Detectio...
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Recurrent Relational Memory Network for Unsupervised Image Captioning
Unsupervised image captioning with no annotations is an emerging challen...
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Riemannian NewtonCG Methods for Constructing a Positive Doubly Stochastic Matrix From Spectral Data
In this paper, we consider the inverse eigenvalue problem for the positi...
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Recovering Accurate Labeling Information from Partially Valid Data for Effective MultiLabel Learning
Partial Multilabel Learning (PML) aims to induce the multilabel predic...
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Unsupervised Vehicle Reidentification with Progressive Adaptation
Vehicle reidentification (reID) aims at identifying vehicles across dif...
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Automated Radiological Report Generation For Chest XRays With WeaklySupervised EndtoEnd Deep Learning
The chest XRay (CXR) is the one of the most common clinical exam used t...
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Survey on Deep Multimodal Data Analytics: Collaboration, Rivalry and Fusion
With the development of web technology, multimodal or multiview data h...
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Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers
Data61 and Western Water worked collaboratively to apply engineering exp...
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Approximation in shiftinvariant spaces with deep ReLU neural networks
We construct deep ReLU neural networks to approximate functions in dilat...
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Try This Instead: Personalized and Interpretable Substitute Recommendation
As a fundamental yet significant process in personalized recommendation,...
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LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
BERT is a cuttingedge language representation model pretrained by a la...
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Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
We present a novel and effective binary representation for convex shapes...
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RiskOracle: A Minutelevel Citywide Traffic Accident Forecasting Framework
Realtime traffic accident forecasting is increasingly important for pub...
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FewShot Scene Adaptive Crowd Counting Using MetaLearning
We consider the problem of fewshot scene adaptive crowd counting. Given...
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Dual Convolutional LSTM Network for Referring Image Segmentation
We consider referring image segmentation. It is a problem at the interse...
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Deep Learningbased Image Compression with Trellis Coded Quantization
Recently many works attempt to develop image compression models based on...
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Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition
Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional N...
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Unsupervised Learning of Camera Pose with Compositional Reestimation
We consider the problem of unsupervised camera pose estimation. Given an...
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Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
In this paper, we investigate the robust dictionary learning (DL) to dis...
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Datadriven Method for 3D Axissymmetric Object Reconstruction from Single Conebeam Projection Data
In this paper we consider 3D axissymmetric (AS) object reconstruction f...
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Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks
Convolutional Recurrent Neural Network (CRNN) is a popular network for r...
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DerainCycleGAN: An Attentionguided Unsupervised Benchmark for Single Image Deraining and Rainmaking
Single image deraining (SID) is an important and challenging topic in em...
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Multilayer Collaborative LowRank Coding Network for Robust Deep Subspace Discovery
For subspace recovery, most existing lowrank representation (LRR) model...
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FullyConvolutional Intensive Feature Flow Neural Network for Text Recognition
The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
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Learning to Recommend via Meta Parameter Partition
In this paper we propose to solve an important problem in recommendation...
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Diversifying Inference Path Selection: MovingMobileNetwork for Landmark Recognition
Deep convolutional neural networks have largely benefited computer visio...
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Progressive Retinex: Mutually Reinforced IlluminationNoise Perception Network for Low Light Image Enhancement
Contrast enhancement and noise removal are coupled problems for lowligh...
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Kernelized Multiview Subspace Analysis by Selfweighted Learning
With the popularity of multimedia technology, information is always repr...
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Phase retrieval for subGaussian measurements
Generally, phase retrieval problem can be viewed as the reconstruction o...
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Scalable Inference for Nonparametric Hawkes Process Using PólyaGamma Augmentation
In this paper, we consider the sigmoid Gaussian Hawkes process model: th...
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Region Mutual Information Loss for Semantic Segmentation
Semantic segmentation is a fundamental problem in computer vision. It is...
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Deck.gl: Largescale Webbased Visual Analytics Made Easy
In this paper, we demonstrate how deck.gl, an opensource project born o...
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GenePatterns: Should Architecture be Customized for Each Application?
Providing architectural support is crucial for newly arising application...
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Alternative Analysis Methods for Time to Event Endpoints under Nonproportional Hazards: A Comparative Analysis
The logrank test is most powerful under proportional hazards (PH). In p...
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Almost Everywhere Generalized Phase Retrieval
The aim of generalized phase retrieval is to recover x∈F^d from the quad...
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Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Anomaly detection in videos aims at reporting anything that does not con...
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Correlationbased Initialization Algorithm for Tensorbased HSI Compression Methods
Tensor decomposition (TD) is widely used in hyperspectral image (HSI) co...
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A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification
In this paper, we propose a convolutional neural network with mapping la...
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MultiTask Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from TimeLapse Videos
Timelapse is a technology used to record the development of embryos dur...
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Learning Structured TwinIncoherent TwinProjective Latent Dictionary Pairs for Classification
In this paper, we extend the popular dictionary pair learning (DPL) into...
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A Targeted Acceleration and Compression Framework for Low bit Neural Networks
1 bit deep neural networks (DNNs), of which both the activations and wei...
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Multiscale HighDimensional Sparse Fourier Algorithms for Noisy Data
We develop an efficient and robust highdimensional sparse Fourier algor...
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Optimal low rank tensor recovery
We investigate the sample size requirement for exact recovery of a high ...
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Fast Multiresolution Segmentation for Nonstationary Hawkes Process Using Cumulants
The stationarity is assumed in vanilla Hawkes process, which reduces the...
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Yang Wang
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University of Stuttgart
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Dalian University of Technology
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Huazhong University of Science u0026 Technology
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Shanghai University
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UNSW
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Shanghai Jiao Tong University
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Element Inc.
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Stony Brook University
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Tsinghua University
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University of Manitoba
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ByteDance Inc.
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Hefei University of Technology
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Michigan State University
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Baidu, Inc.
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USTC
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Anhui USTC iFLYTEK Co
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The Hong Kong University of Science and Technology
Associate Professor of Computer Science at University of Manitoba