
Sufficient dimension reduction for classification using principal optimal transport direction
Sufficient dimension reduction is used pervasively as a supervised dimen...
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Minimization of the qratio sparsity with 1 < q ≤∞ for signal recovery
In this paper, we propose a general scale invariant approach for sparse ...
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Adaptive Online Multimodal Hashing via Hadamard Matrix
Hashing plays an important role in information retrieval, due to its low...
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Effects of winter climate on high speed passenger trains in BotniaAtlantica region
Harsh winter climate can cause various problems for both public and priv...
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Learning Domaininvariant Graph for Adaptive Semisupervised Domain Adaptation with Few Labeled Source Samples
Domain adaptation aims to generalize a model from a source domain to tac...
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Retrieval of Family Members Using Siamese Neural Network
Retrieval of family members in the wild aims at finding family members o...
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Deep Fusion Siamese Network for Automatic Kinship Verification
Automatic kinship verification aims to determine whether some individual...
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Optimal Distributed Subsampling for Maximum QuasiLikelihood Estimators with Massive Data
Nonuniform subsampling methods are effective to reduce computational bur...
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Deep Multimodal Neural Architecture Search
Designing effective neural networks is fundamentally important in deep m...
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Repulsive Mixture Models of Exponential Family PCA for Clustering
The mixture extension of exponential family principal component analysis...
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Detecting Communities in Heterogeneous MultiRelational Networks:A Message Passing based Approach
Community is a common characteristic of networks including social networ...
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WeaklySupervised MultiLevel Attentional Reconstruction Network for Grounding Textual Queries in Videos
The task of temporally grounding textual queries in videos is to localiz...
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Functional marked point processes – A natural structure to unify spatiotemporal frameworks and to analyse dependent functional data
This paper treats functional marked point processes (FMPPs), which are d...
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Enhanced block sparse signal recovery based on qratio block constrained minimal singular values
In this paper we introduce the qratio block constrained minimal singula...
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Multimodal Unified Attention Networks for VisionandLanguage Interactions
Learning an effective attention mechanism for multimodal data is importa...
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Deep Modular CoAttention Networks for Visual Question Answering
Visual Question Answering (VQA) requires a finegrained and simultaneous...
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Effective degrees of freedom for surface finish defect detection and classification
One of the primary concerns of product quality control in the automotive...
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ActivityNetQA: A Dataset for Understanding Complex Web Videos via Question Answering
Recent developments in modeling language and vision have been successful...
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Multimodal Transformer with MultiView Visual Representation for Image Captioning
Image captioning aims to automatically generate a natural language descr...
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Grand Challenge of 106Point Facial Landmark Localization
Facial landmark localization is a very crucial step in numerous face rel...
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On Exploring Undetermined Relationships for Visual Relationship Detection
In visual relationship detection, humannotated relationships can be reg...
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Local DeepFeature Alignment for Unsupervised Dimension Reduction
This paper presents an unsupervised deeplearning framework named Local ...
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Single Pixel Reconstruction for Onestage Instance Segmentation
Object instance segmentation is one of the most fundamental but challeng...
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Adapting Stochastic Block Models to PowerLaw Degree Distributions
Stochastic block models (SBMs) have been playing an important role in mo...
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Crossmodal subspace learning with Kernel correlation maximization and Discriminative structure preserving
The measure between heterogeneous data is still an open problem. Many re...
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Unsupervised Concatenation Hashing with Sparse Constraint for CrossModal Retrieval
With the advantage of low storage cost and high efficiency, hashing lear...
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Discriminative Supervised Hashing for CrossModal Retrieval
With the advantage of low storage cost and high retrieval efficiency, ha...
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Discriminative Supervised Hashing for CrossModal similarity Search
With the advantage of low storage cost and high retrieval efficiency, ha...
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Textually Guided Ranking Network for Attentional Image Retweet Modeling
Retweet prediction is a challenging problem in social media sites (SMS)....
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Learning Discriminative Hashing Codes for CrossModal Retrieval based on Multiorder Statistical Features
Hashing techniques have been applied broadly in largescale retrieval ta...
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Semisupervised Hashing for SemiPaired CrossView Retrieval
Recently, hashing techniques have gained importance in largescale retri...
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Optimal Subsampling Algorithms for Big Data Generalized Linear Models
To fast approximate the maximum likelihood estimator with massive data, ...
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On qratio CMSV for sparse recovery
Sparse recovery aims to reconstruct an unknown spare or approximately sp...
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Statistical Methods in Computed Tomography Image Estimation
There is increasing interest in computed tomography (CT) image estimatio...
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Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Visual grounding aims to localize an object in an image referred to by a...
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FishEyeRecNet: A MultiContext Collaborative Deep Network for Fisheye Image Rectification
Images captured by fisheye lenses violate the pinhole camera assumption ...
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Adaptive Algorithm for Sparse Signal Recovery
Spike and slab priors play a key role in inducing sparsity for sparse si...
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Learning Decorrelated Hashing Codes for Multimodal Retrieval
In social networks, heterogeneous multimedia data correlate to each othe...
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Sparse recovery based on qratio constrained minimal singular values
We study verifiable sufficient conditions and computable performance bou...
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A New Wald Test for Hypothesis Testing Based on MCMC outputs
In this paper, a new and convenient χ^2 wald test based on MCMC outputs ...
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Multimodal Face Pose Estimation with Multitask Manifold Deep Learning
Human face pose estimation aims at estimating the gazing direction or he...
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Compositionaided Sketchrealistic Portrait Generation
Sketch portrait generation is of wide applications including digital ent...
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Sparsity estimation in compressive sensing with application to MR images
The theory of compressive sensing (CS) asserts that an unknown signal x∈...
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Beyond Bilinear: Generalized Multimodal Factorized Highorder Pooling for Visual Question Answering
Visual question answering (VQA) is challenging because it requires a sim...
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Multimodal Factorized Bilinear Pooling with CoAttention Learning for Visual Question Answering
Visual question answering (VQA) is challenging because it requires a sim...
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Embedding Visual Hierarchy with Deep Networks for LargeScale Visual Recognition
In this paper, a levelwise mixture model (LMM) is developed by embeddin...
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Deep Mixture of Diverse Experts for LargeScale Visual Recognition
In this paper, a deep mixture of diverse experts algorithm is developed ...
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Constrained LowRank Learning Using Least SquaresBased Regularization
Lowrank learning has attracted much attention recently due to its effic...
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Wholebrain substitute CT generation using Markov random field mixture models
Computed tomography (CT) equivalent information is needed for attenuatio...
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Jun Yu
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Professor of Beijing Institute of Genomics, Chinese Academy of Sciences (CAS) since 2012, Ph.D. degree in computational biology and chemistry from Jilin University in 2003, Postdoctoral research in Dr. Zongru Guo's Lab of Institute of Materia Medica, Chinese Academy of Medical Sciences from 20032007, Postdoctoral Research inDr. Thanh N Truong’s Lab of Department of Chemistry, University of Utah from 20032007, Associate professor in Beijing Institute of Genomics, Chinese Academy of Sciences from 20072012.