
HiExpan: TaskGuided Taxonomy Construction by Hierarchical Tree Expansion
Taxonomies are of great value to many knowledgerich applications. As th...
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Crossdomain Deep Feature Combination for Bird Species Classification with Audiovisual Data
In recent decade, many stateoftheart algorithms on image classificati...
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Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Deep learning has revolutionized speech recognition, image recognition, ...
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Beyond Human Parts: Dual PartAligned Representations for Person ReIdentification
Person reidentification is a challenging task due to various complex fa...
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G2MFWA: Geometric MultiModel Fitting with Weakly Annotated Data
In this paper we attempt to address the problem of geometric multimodel...
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ADATucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
Despite the recent success of deep learning models in numerous applicati...
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PartiallyTyped NER Datasets Integration: Connecting Practice to Theory
While typical named entity recognition (NER) models require the training...
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Joint Subbands Learning with Clique Structures for Wavelet Domain SuperResolution
Convolutional neural networks (CNNs) have recently achieved great succes...
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KernelFree Image Deblurring with a Pair of Blurred/Noisy Images
Complex blur like the mixup of spacevariant and spaceinvariant blur, w...
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HitDetector: Hierarchical Trinity Architecture Search for Object Detection
Neural Architecture Search (NAS) has achieved great success in image cla...
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Orientationaware Semantic Segmentation on Icosahedron Spheres
We address semantic segmentation on omnidirectional images, to leverage ...
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Multiscale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
We propose a novel multiscale template matching method which is robust ...
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Interlaced Sparse SelfAttention for Semantic Segmentation
In this paper, we present a socalled interlaced sparse selfattention a...
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A gradual, semidiscrete approach to generative network training via explicit wasserstein minimization
This paper provides a simple procedure to fit generative networks to tar...
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BOND: BERTAssisted OpenDomain Named Entity Recognition with Distant Supervision
We study the opendomain named entity recognition (NER) problem under di...
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A Parallel Way to Select the Parameters of SVM Based on the Ant Optimization Algorithm
A large number of experimental data shows that Support Vector Machine (S...
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pgCausality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data
Many countries are suffering from severe air pollution. Understanding ho...
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Feature Incay for Representation Regularization
Softmax loss is widely used in deep neural networks for multiclass clas...
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Accelerated Variance Reduced Block Coordinate Descent
Algorithms with fast convergence, small number of data access, and low p...
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Detailed, accurate, human shape estimation from clothed 3D scan sequences
We address the problem of estimating human pose and body shape from 3D s...
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Robust Spatial Filtering with Graph Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have recently led to incredible bre...
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MultipleView Spectral Clustering for Groupwise Functional Community Detection
Functional connectivity analysis yields powerful insights into our under...
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HardAware Deeply Cascaded Embedding
Riding on the waves of deep neural networks, deep metric learning has al...
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Completing LowRank Matrices with Corrupted Samples from Few Coefficients in General Basis
Subspace recovery from corrupted and missing data is crucial for various...
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Generalization Bounds for Representative Domain Adaptation
In this paper, we propose a novel framework to analyze the theoretical p...
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Bennetttype Generalization Bounds: Largedeviation Case and Faster Rate of Convergence
In this paper, we present the Bennetttype generalization bounds of the ...
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A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
Rank minimization has attracted a lot of attention due to its robustness...
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Unsupervised Feature Learning for Dense Correspondences across Scenes
We propose a fast, accurate matching method for estimating dense pixel c...
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Risk Bounds for Infinitely Divisible Distribution
In this paper, we study the risk bounds for samples independently drawn ...
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Binary output layer of feedforward neural networks for solving multiclass classification problems
Considered in this short note is the design of output layer nodes of fee...
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LowNorm Graph Embedding
Learning distributed representations for nodes in graphs has become an i...
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Improved TDNNs using Deep Kernels and Frequency Dependent GridRNNs
Time delay neural networks (TDNNs) are an effective acoustic model for l...
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High Order Recurrent Neural Networks for Acoustic Modelling
Vanishing longterm gradients are a major issue in training standard rec...
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Image Ordinal Classification and Understanding: Grid Dropout with Masking Label
Image ordinal classification refers to predicting a discrete target valu...
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Semitied Units for Efficient Gating in LSTM and Highway Networks
Gating is a key technique used for integrating information from multiple...
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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
Heterogeneous information networks (HINs) are ubiquitous in realworld a...
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WeaklySupervised Neural Text Classification
Deep neural networks are gaining increasing popularity for the classic t...
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BlurCountering Keypoint Detection via Eigenvalue Asymmetry
Wellknown corner or local extrema feature based detectors such as FAST ...
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Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization
In this paper, we study tail inequalities of the largest eigenvalue of a...
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Generalization Bounds for Vicinal Risk Minimization Principle
The vicinal risk minimization (VRM) principle, first proposed by vapnik1...
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AttributeAware Attention Model for Finegrained Representation Learning
How to learn a discriminative finegrained representation is a key point...
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Sparse DNNs with Improved Adversarial Robustness
Deep neural networks (DNNs) are computationally/memoryintensive and vul...
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WeaklySupervised Hierarchical Text Classification
Hierarchical text classification, which aims to classify text documents ...
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A Probabilistic Bitwise Genetic Algorithm for BSpline based Image Deformation Estimation
We propose a novel genetic algorithm to solve the image deformation esti...
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C3AE: Exploring the Limits of Compact Model for Age Estimation
Age estimation is a classic learning problem in computer vision. Many la...
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FrameRank: A Text Processing Approach to Video Summarization
Video summarization has been extensively studied in the past decades. Ho...
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Task Oriented Channel State Information Quantization
In this paper, we propose a new perspective for quantizing a signal and ...
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Speaker diarisation using 2D selfattentive combination of embeddings
Speaker diarisation systems often cluster audio segments using speaker e...
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TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering
Taxonomy construction is not only a fundamental task for semantic analys...
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Truxen: A Trusted Computing Enhanced Blockchain
Truxen is a Trusted Computing enhanced blockchain that uses Proof of Int...
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Chao Zhang
verfied profile
Associate Professor
School of Mathematical Sciences
Dalian University of Technology
Dalian, Liaoning 116024，P.R. China