Chao Zhang

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion

Taxonomies are of great value to many knowledge-rich applications. As th...
10/17/2019 ∙ by Jiaming Shen, et al. ∙ 25 ∙ share

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Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data

In recent decade, many state-of-the-art algorithms on image classificati...
11/26/2018 ∙ by Bold Naranchimeg, et al. ∙ 12 ∙ share

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Multimodal Intelligence: Representation Learning, Information Fusion, and Applications

Deep learning has revolutionized speech recognition, image recognition, ...
11/10/2019 ∙ by Chao Zhang, et al. ∙ 9 ∙ share

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Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

Person re-identification is a challenging task due to various complex fa...
10/22/2019 ∙ by Jianyuan Guo, et al. ∙ 8 ∙ share

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G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data

In this paper we attempt to address the problem of geometric multi-model...
01/20/2020 ∙ by Chao Zhang, et al. ∙ 7 ∙ share

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ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition

Despite the recent success of deep learning models in numerous applicati...
06/18/2019 ∙ by Zhisheng Zhong, et al. ∙ 5 ∙ share

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Partially-Typed NER Datasets Integration: Connecting Practice to Theory

While typical named entity recognition (NER) models require the training...
05/01/2020 ∙ by Shi Zhi, et al. ∙ 5 ∙ share

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Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

Convolutional neural networks (CNNs) have recently achieved great succes...
09/12/2018 ∙ by Zhisheng Zhong, et al. ∙ 4 ∙ share

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Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images

Complex blur like the mixup of space-variant and space-invariant blur, w...
03/26/2019 ∙ by Chunzhi Gu, et al. ∙ 4 ∙ share

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Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Neural Architecture Search (NAS) has achieved great success in image cla...
03/26/2020 ∙ by Jianyuan Guo, et al. ∙ 4 ∙ share

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Orientation-aware Semantic Segmentation on Icosahedron Spheres

We address semantic segmentation on omnidirectional images, to leverage ...
07/30/2019 ∙ by Chao Zhang, et al. ∙ 3 ∙ share

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Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment

We propose a novel multi-scale template matching method which is robust ...
07/02/2019 ∙ by Yi Zhang, et al. ∙ 2 ∙ share

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Interlaced Sparse Self-Attention for Semantic Segmentation

In this paper, we present a so-called interlaced sparse self-attention a...
07/29/2019 ∙ by Lang Huang, et al. ∙ 2 ∙ share

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A gradual, semi-discrete approach to generative network training via explicit wasserstein minimization

This paper provides a simple procedure to fit generative networks to tar...
06/08/2019 ∙ by Yucheng Chen, et al. ∙ 1 ∙ share

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BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

We study the open-domain named entity recognition (NER) problem under di...
06/28/2020 ∙ by Chen Liang, et al. ∙ 1 ∙ share

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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...
05/19/2014 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data

Many countries are suffering from severe air pollution. Understanding ho...
10/22/2016 ∙ by Julie Yixuan Zhu, et al. ∙ 0 ∙ share

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Feature Incay for Representation Regularization

Softmax loss is widely used in deep neural networks for multi-class clas...
05/29/2017 ∙ by Yuhui Yuan, et al. ∙ 0 ∙ share

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Accelerated Variance Reduced Block Coordinate Descent

Algorithms with fast convergence, small number of data access, and low p...
11/13/2016 ∙ by Zebang Shen, et al. ∙ 0 ∙ share

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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...
03/13/2017 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Robust Spatial Filtering with Graph Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have recently led to incredible bre...
03/02/2017 ∙ by Felipe Petroski Such, et al. ∙ 0 ∙ share

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Multiple-View Spectral Clustering for Group-wise Functional Community Detection

Functional connectivity analysis yields powerful insights into our under...
11/21/2016 ∙ by Nathan D. Cahill, et al. ∙ 0 ∙ share

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Hard-Aware Deeply Cascaded Embedding

Riding on the waves of deep neural networks, deep metric learning has al...
11/17/2016 ∙ by Yuhui Yuan, et al. ∙ 0 ∙ share

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Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis

Subspace recovery from corrupted and missing data is crucial for various...
06/25/2015 ∙ by Hongyang Zhang, et al. ∙ 0 ∙ share

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Generalization Bounds for Representative Domain Adaptation

In this paper, we propose a novel framework to analyze the theoretical p...
01/02/2014 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence

In this paper, we present the Bennett-type generalization bounds of the ...
09/26/2013 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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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...
04/23/2013 ∙ by Hongyang Zhang, et al. ∙ 0 ∙ share

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Unsupervised Feature Learning for Dense Correspondences across Scenes

We propose a fast, accurate matching method for estimating dense pixel c...
01/04/2015 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Risk Bounds for Infinitely Divisible Distribution

In this paper, we study the risk bounds for samples independently drawn ...
02/14/2012 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Binary output layer of feedforward neural networks for solving multi-class classification problems

Considered in this short note is the design of output layer nodes of fee...
01/22/2018 ∙ by Sibo Yang, et al. ∙ 0 ∙ share

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Low-Norm Graph Embedding

Learning distributed representations for nodes in graphs has become an i...
02/10/2018 ∙ by Yihan Gao, et al. ∙ 0 ∙ share

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Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs

Time delay neural networks (TDNNs) are an effective acoustic model for l...
02/18/2018 ∙ by Florian Kreyssig, et al. ∙ 0 ∙ share

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High Order Recurrent Neural Networks for Acoustic Modelling

Vanishing long-term gradients are a major issue in training standard rec...
02/22/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Image Ordinal Classification and Understanding: Grid Dropout with Masking Label

Image ordinal classification refers to predicting a discrete target valu...
05/08/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Semi-tied Units for Efficient Gating in LSTM and Highway Networks

Gating is a key technique used for integrating information from multiple...
06/18/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Heterogeneous information networks (HINs) are ubiquitous in real-world a...
07/10/2018 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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Weakly-Supervised Neural Text Classification

Deep neural networks are gaining increasing popularity for the classic t...
09/02/2018 ∙ by Yu Meng, et al. ∙ 0 ∙ share

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Blur-Countering Keypoint Detection via Eigenvalue Asymmetry

Well-known corner or local extrema feature based detectors such as FAST ...
09/05/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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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...
09/04/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Generalization Bounds for Vicinal Risk Minimization Principle

The vicinal risk minimization (VRM) principle, first proposed by vapnik1...
11/11/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Attribute-Aware Attention Model for Fine-grained Representation Learning

How to learn a discriminative fine-grained representation is a key point...
01/02/2019 ∙ by Kai Han, et al. ∙ 0 ∙ share

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Sparse DNNs with Improved Adversarial Robustness

Deep neural networks (DNNs) are computationally/memory-intensive and vul...
10/23/2018 ∙ by Yiwen Guo, et al. ∙ 0 ∙ share

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Weakly-Supervised Hierarchical Text Classification

Hierarchical text classification, which aims to classify text documents ...
12/29/2018 ∙ by Yu Meng, et al. ∙ 0 ∙ share

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A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation

We propose a novel genetic algorithm to solve the image deformation esti...
03/26/2019 ∙ by Takumi Nakane, et al. ∙ 0 ∙ share

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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...
04/10/2019 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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FrameRank: A Text Processing Approach to Video Summarization

Video summarization has been extensively studied in the past decades. Ho...
04/11/2019 ∙ by Zhuo Lei, et al. ∙ 0 ∙ share

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Task Oriented Channel State Information Quantization

In this paper, we propose a new perspective for quantizing a signal and ...
04/02/2019 ∙ by Hang Zou, et al. ∙ 0 ∙ share

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Speaker diarisation using 2D self-attentive combination of embeddings

Speaker diarisation systems often cluster audio segments using speaker e...
02/08/2019 ∙ by Guangzhi Sun, et al. ∙ 0 ∙ share

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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...
12/22/2018 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Truxen: A Trusted Computing Enhanced Blockchain

Truxen is a Trusted Computing enhanced blockchain that uses Proof of Int...
04/17/2019 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Chao Zhang

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