Zheng Zhang

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Amazon ∙ MIT ∙ Zhejiang University ∙ Microsoft ∙ NYU college ∙ Wuhan University ∙ The Regents of the University of California

Professor of Computer Science, NYU Shanghai; Global Network Professor, NYU

Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling

Hamiltonian Monte Carlo (HMC) is an efficient Bayesian sampling method t...
12/04/2019 ∙ by Ziming Liu, et al. ∙ 34 ∙ share

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Active Subspace of Neural Networks: Structural Analysis and Universal Attacks

Active subspace is a model reduction method widely used in the uncertain...
10/29/2019 ∙ by Chunfeng Cui, et al. ∙ 33 ∙ share

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Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification

In this paper, we extend the popular dictionary pair learning (DPL) into...
08/21/2019 ∙ by Zhao Zhang, et al. ∙ 16 ∙ share

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Deep Self-representative Concept Factorization Network for Representation Learning

In this paper, we investigate the unsupervised deep representation learn...
12/13/2019 ∙ by Yan Zhang, et al. ∙ 16 ∙ share

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Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning

In this paper, we propose a structured Robust Adaptive Dic-tionary Pair ...
11/20/2019 ∙ by Yulin Sun, et al. ∙ 10 ∙ share

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Dense RepPoints: Representing Visual Objects with Dense Point Sets

We present an object representation, called Dense RepPoints, for flexibl...
12/24/2019 ∙ by Ze Yang, et al. ∙ 8 ∙ share

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ConvLab: Multi-Domain End-to-End Dialog System Platform

We present ConvLab, an open-source multi-domain end-to-end dialog system...
04/18/2019 ∙ by Sungjin Lee, et al. ∙ 6 ∙ share

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Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning

We propose a joint subspace recovery and enhanced locality based robust ...
06/11/2019 ∙ by Zhao Zhang, et al. ∙ 5 ∙ share

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Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
12/13/2019 ∙ by Zhao Zhang, et al. ∙ 5 ∙ share

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Negative Margin Matters: Understanding Margin in Few-shot Classification

This paper introduces a negative margin loss to metric learning based fe...
03/26/2020 ∙ by Bin Liu, et al. ∙ 5 ∙ share

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Adaptive Locality Preserving Regression

This paper proposes a novel discriminative regression method, called ada...
01/03/2019 ∙ by Jie Wen, et al. ∙ 2 ∙ share

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MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...
06/17/2019 ∙ by Kai Chen, et al. ∙ 1 ∙ share

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Relation Networks for Object Detection

Although it is well believed for years that modeling relations between o...
11/30/2017 ∙ by Han Hu, et al. ∙ 0 ∙ share

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Loss Functions for Multiset Prediction

We study the problem of multiset prediction. The goal of multiset predic...
11/14/2017 ∙ by Sean Welleck, et al. ∙ 0 ∙ share

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Saliency-based Sequential Image Attention with Multiset Prediction

Humans process visual scenes selectively and sequentially using attentio...
11/14/2017 ∙ by Sean Welleck, et al. ∙ 0 ∙ share

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Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study

It is well known that clothing fashion is a distinctive and often habitu...
08/26/2016 ∙ by Qin Zou, et al. ∙ 0 ∙ share

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Natural Scene Character Recognition Using Robust PCA and Sparse Representation

Natural scene character recognition is challenging due to the cluttered ...
06/15/2016 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Multi-Oriented Text Detection with Fully Convolutional Networks

In this paper, we propose a novel approach for text detec- tion in natur...
04/14/2016 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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A survey of sparse representation: algorithms and applications

Sparse representation has attracted much attention from researchers in f...
02/23/2016 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Learning to Point and Count

This paper proposes the problem of point-and-count as a test case to bre...
12/08/2015 ∙ by Jie Shao, et al. ∙ 0 ∙ share

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The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

Fine-grained classification is challenging because categories can only b...
11/24/2014 ∙ by Tianjun Xiao, et al. ∙ 0 ∙ share

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Scale-Invariant Convolutional Neural Networks

Even though convolutional neural networks (CNN) has achieved near-human ...
11/24/2014 ∙ by Yichong Xu, et al. ∙ 0 ∙ share

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Attentional Neural Network: Feature Selection Using Cognitive Feedback

Attentional Neural Network is a new framework that integrates top-down c...
11/19/2014 ∙ by Qian Wang, et al. ∙ 0 ∙ share

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Learning Word Embeddings from Intrinsic and Extrinsic Views

While word embeddings are currently predominant for natural language pro...
08/20/2016 ∙ by Jifan Chen, et al. ∙ 0 ∙ share

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Efficient Spatial Variation Characterization via Matrix Completion

In this paper, we propose a novel method to estimate and characterize sp...
03/29/2017 ∙ by Hongge Chen, et al. ∙ 0 ∙ share

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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

MXNet is a multi-language machine learning (ML) library to ease the deve...
12/03/2015 ∙ by Tianqi Chen, et al. ∙ 0 ∙ share

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Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification

The clothing fashion reflects the common aesthetics that people share wi...
03/09/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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A Simple and Efficient Estimation Method for Models with Nonignorable Missing Data

This paper proposes a simple and efficient estimation procedure for the ...
01/12/2018 ∙ by Chunrong Ai, et al. ∙ 0 ∙ share

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Instance Similarity Deep Hashing for Multi-Label Image Retrieval

Hash coding has been widely used in the approximate nearest neighbor sea...
03/08/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Music Style Transfer Issues: A Position Paper

Led by the success of neural style transfer on visual arts, there has be...
03/19/2018 ∙ by Shuqi Dai, et al. ∙ 0 ∙ share

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Discriminative Block-Diagonal Representation Learning for Image Recognition

Existing block-diagonal representation researches mainly focuses on cast...
07/12/2017 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Music Style Transfer: A Position Paper

Led by the success of neural style transfer on visual arts, there has be...
03/19/2018 ∙ by Shuqi Dai, et al. ∙ 0 ∙ share

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Effective Occlusion Handling for Fast Correlation Filter-based Trackers

Correlation filter-based trackers heavily suffer from the problem of mul...
07/13/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Memory-augmented Dialogue Management for Task-oriented Dialogue Systems

Dialogue management (DM) decides the next action of a dialogue system ac...
05/01/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Top-Down Tree Structured Text Generation

Text generation is a fundamental building block in natural language proc...
08/14/2018 ∙ by Qipeng Guo, et al. ∙ 0 ∙ share

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Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion

Streaming tensor factorization is a powerful tool for processing high-vo...
09/06/2018 ∙ by Cole Hawkins, et al. ∙ 0 ∙ share

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Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization

Clustering with incomplete views is a challenge in multi-view clustering...
09/17/2018 ∙ by Jie Wen, et al. ∙ 0 ∙ share

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Integrated Object Detection and Tracking with Tracklet-Conditioned Detection

Accurate detection and tracking of objects is vital for effective video ...
11/27/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Highly-Economized Multi-View Binary Compression for Scalable Image Clustering

How to economically cluster large-scale multi-view images is a long-stan...
09/17/2018 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Star-Transformer

Although the fully-connected attention-based model Transformer has achie...
02/25/2019 ∙ by Qipeng Guo, et al. ∙ 0 ∙ share

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Explainable Text-Driven Neural Network for Stock Prediction

It has been shown that financial news leads to the fluctuation of stock ...
02/13/2019 ∙ by Linyi Yang, et al. ∙ 0 ∙ share

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Melodic Phrase Segmentation By Deep Neural Networks

Automated melodic phrase detection and segmentation is a classical task ...
11/14/2018 ∙ by Yixing Guan, et al. ∙ 0 ∙ share

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SADIH: Semantic-Aware DIscrete Hashing

Due to its low storage cost and fast query speed, hashing has been recog...
04/03/2019 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Spatial-Temporal Relation Networks for Multi-Object Tracking

Recent progress in multiple object tracking (MOT) has shown that a robus...
04/25/2019 ∙ by Jiarui Xu, et al. ∙ 0 ∙ share

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An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Attention mechanisms have become a popular component in deep neural netw...
04/11/2019 ∙ by Xizhou Zhu, et al. ∙ 0 ∙ share

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Local Relation Networks for Image Recognition

The convolution layer has been the dominant feature extractor in compute...
04/25/2019 ∙ by Han Hu, et al. ∙ 0 ∙ share

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Uncertainty Quantification of Electronic and Photonic ICs with Non-Gaussian Correlated Process Variations

Since the invention of generalized polynomial chaos in 2002, uncertainty...
06/30/2018 ∙ by Chunfeng Cui, et al. ∙ 0 ∙ share

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Bayesian Tensorized Neural Networks with Automatic Rank Selection

Tensor decomposition is an effective approach to compress over-parameter...
05/24/2019 ∙ by Cole Hawkins, et al. ∙ 0 ∙ share

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Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning

We propose a novel structured discriminative block-diagonal dictionary l...
05/25/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ share

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Stochastic Collocation with Non-Gaussian Correlated Parameters via a New Quadrature Rule

This paper generalizes stochastic collocation methods to handle correlat...
08/25/2018 ∙ by Chunfeng Cui, et al. ∙ 0 ∙ share

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Zheng Zhang

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