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

Parametric Instance Classification for Unsupervised Visual Feature Learning

This paper presents parametric instance classification (PIC) for unsuper...
06/25/2020 ∙ by Yue Cao, et al. ∙ 19 ∙ share

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Disentangled Non-Local Neural Networks

The non-local block is a popular module for strengthening the context mo...
06/11/2020 ∙ by Minghao Yin, et al. ∙ 0 ∙ share

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Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval

Social network stores and disseminates a tremendous amount of user share...
06/10/2020 ∙ by Lei Zhu, et al. ∙ 0 ∙ share

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Two important tasks at the intersection of knowledge graphs and natural ...
06/08/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Relation of the Relations: A New Paradigm of the Relation Extraction Problem

In natural language, often multiple entities appear in the same text. Ho...
06/05/2020 ∙ by Zhijing Jin, et al. ∙ 0 ∙ share

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Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning

There have been more than 850,000 confirmed cases and over 48,000 deaths...
05/21/2020 ∙ by Xiangxiang Zeng, et al. ∙ 0 ∙ share

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Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness

Most existing approaches for goal-oriented dialogue policy learning used...
04/21/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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DGL-KE: Training Knowledge Graph Embeddings at Scale

Knowledge graphs have emerged as a key abstraction for organizing inform...
04/18/2020 ∙ by Da Zheng, et al. ∙ 0 ∙ 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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Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

In the feature maps of CNNs, there commonly exists considerable spatial ...
03/19/2020 ∙ by Zhenda Xie, et al. ∙ 0 ∙ share

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Recent Advances and Challenges in Task-oriented Dialog System

Due to the significance and value in human-computer interaction and natu...
03/17/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

To advance multi-domain (cross-domain) dialogue modeling as well as alle...
02/27/2020 ∙ by Qi Zhu, et al. ∙ 0 ∙ share

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Transformer on a Diet

Transformer has been widely used thanks to its ability to capture sequen...
02/14/2020 ∙ by Chenguang Wang, et al. ∙ 0 ∙ share

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Race, Gender and Beauty: The Effect of Information Provision on Online Hiring Biases

We conduct a study of hiring bias on a simulation platform where we ask ...
01/16/2020 ∙ by Weiwen Leung, et al. ∙ 0 ∙ 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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Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks

Convolutional Recurrent Neural Network (CRNN) is a popular network for r...
12/15/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ 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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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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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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Multi-Scale Self-Attention for Text Classification

In this paper, we introduce the prior knowledge, multi-scale structure, ...
12/02/2019 ∙ by Qipeng Guo, et al. ∙ 0 ∙ 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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Transductive Zero-Shot Hashing for Multi-Label Image Retrieval

Hash coding has been widely used in approximate nearest neighbor search ...
11/17/2019 ∙ by Qin Zou, et al. ∙ 0 ∙ share

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Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Meta-learning for few-shot learning allows a machine to leverage previou...
11/12/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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BP-Transformer: Modelling Long-Range Context via Binary Partitioning

The Transformer model is widely successful on many natural language proc...
11/11/2019 ∙ by Zihao Ye, et al. ∙ 0 ∙ share

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Deep Collaborative Discrete Hashing with Semantic-Invariant Structure

Existing deep hashing approaches fail to fully explore semantic correlat...
11/05/2019 ∙ by Zijian Wang, et al. ∙ 0 ∙ 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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Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind

Recent work in cross-lingual contextual word embedding learning cannot h...
09/18/2019 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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A Deep Learning Framework for Pricing Financial Instruments

We propose an integrated deep learning architecture for the stock moveme...
09/07/2019 ∙ by Qiong Wu, et al. ∙ 0 ∙ 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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Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation

Visual paragraph generation aims to automatically describe a given image...
08/01/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Efficient Uncertainty Modeling for System Design via Mixed Integer Programming

The post-Moore era casts a shadow of uncertainty on many aspects of comp...
07/10/2019 ∙ by Zichang He, et al. ∙ 0 ∙ share

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Tucker Tensor Decomposition on FPGA

Tensor computation has emerged as a powerful mathematical tool for solvi...
06/28/2019 ∙ by Kaiqi Zhang, et al. ∙ 0 ∙ 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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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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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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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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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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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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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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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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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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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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High-Dimensional Uncertainty Quantification of Electronic and Photonic IC with Non-Gaussian Correlated Process Variations

Uncertainty quantification based on generalized polynomial chaos has bee...
01/31/2019 ∙ by Chunfeng Cui, et al. ∙ 0 ∙ share

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Bilinear Supervised Hashing Based on 2D Image Features

Hashing has been recognized as an efficient representation learning meth...
01/05/2019 ∙ by Yujuan Ding, et al. ∙ 0 ∙ share

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Prediction of multi-dimensional spatial variation data via Bayesian tensor completion

This paper presents a multi-dimensional computational method to predict ...
01/03/2019 ∙ by Jiali Luan, et al. ∙ 0 ∙ 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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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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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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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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Zheng Zhang

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