Sheng Zhang

DeepFaceLab: A simple, flexible and extensible face swapping framework

DeepFaceLab is an open-source deepfake system created by iperov for face...
05/12/2020 ∙ by Ivan Perov, et al. ∙ 17 ∙ share

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Error Model of Radio Fingerprint and PDR Fusion Indoor Localization

Multi-source fusion positioning is one of the technical frameworks for o...
01/05/2020 ∙ by Haojun Ai, et al. ∙ 0 ∙ share

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Transductive Parsing for Universal Decompositional Semantics

We introduce a transductive model for parsing into Universal Decompositi...
10/22/2019 ∙ by Elias Stengel-Eskin, et al. ∙ 0 ∙ share

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The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
09/30/2019 ∙ by Aaron Steven White, et al. ∙ 0 ∙ share

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Broad-Coverage Semantic Parsing as Transduction

We unify different broad-coverage semantic parsing tasks under a transdu...
09/05/2019 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from

The derivation of physical laws is a dominant topic in scientific resear...
07/17/2019 ∙ by Sheng Zhang, et al. ∙ 23 ∙ share

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Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration,

The derivation of physical laws is a dominant topic in scientific resear...
07/17/2019 ∙ by Sheng Zhang, et al. ∙ 6 ∙ share

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Neural Machine Reading Comprehension: Methods and Trends

Machine Reading Comprehension (MRC), which requires the machine to answe...
07/02/2019 ∙ by Shanshan Liu, et al. ∙ 0 ∙ share

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Omnidirectional Scene Text Detection with Sequential-free Box Discretization

Scene text in the wild is commonly presented with high variant character...
06/06/2019 ∙ by Yuliang Liu, et al. ∙ 0 ∙ share

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Finite-Time Analysis of Q-Learning with Linear Function Approximation

In this paper, we consider the model-free reinforcement learning problem...
05/27/2019 ∙ by Zaiwei Chen, et al. ∙ 0 ∙ share

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AMR Parsing as Sequence-to-Graph Transduction

We propose an attention-based model that treats AMR parsing as sequence-...
05/21/2019 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Commonsense reasoning is fundamental to natural language understanding. ...
04/03/2019 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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Learning to Detect Instantaneous Changes with Retrospective Convolution and Static Sample Synthesis

Change detection has been a challenging visual task due to the dynamic n...
11/20/2018 ∙ by Chao Chen, et al. ∙ 0 ∙ share

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ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

We present a large-scale dataset, ReCoRD, for machine reading comprehens...
10/30/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction

Cross-lingual information extraction (CLIE) is an important and challeng...
05/21/2018 ∙ by Hongyuan Mei, et al. ∙ 0 ∙ share

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Cross-lingual Semantic Parsing

We introduce the task of cross-lingual semantic parsing: mapping content...
04/21/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds

Fine-grained entity typing is the task of assigning fine-grained semanti...
04/21/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Neural Davidsonian Semantic Proto-role Labeling

We present state-of-the-art results for semantic proto-role labeling (SP...
04/21/2018 ∙ by Rachel Rudinger, et al. ∙ 0 ∙ share

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FPGA Implementations of 3D-SIMD Processor Architecture for Deep Neural Networks Using Relative Indexed Compressed Sparse Filter Encoding Format and Stacked Filters Stationary F

It is a challenging task to deploy computationally and memory intensive ...
03/28/2018 ∙ by Yuechao Gao, et al. ∙ 0 ∙ share

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Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System

Geo-distributed data analytics are increasingly common to derive useful ...
02/01/2018 ∙ by Xiaoda Zhang, et al. ∙ 0 ∙ share

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Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks

To address memory and computation resource limitations for hardware-orie...
01/23/2018 ∙ by Yuechao Gao, et al. ∙ 0 ∙ share

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Random Euler Complex-Valued Nonlinear Filters

Over the last decade, both the neural network and kernel adaptive filter...
01/02/2018 ∙ by Jiashu Zhang, et al. ∙ 0 ∙ share

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Feature Enhancement Network: A Refined Scene Text Detector

In this paper, we propose a refined scene text detector with a novel Fea...
11/12/2017 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Deep Generalized Canonical Correlation Analysis

We present Deep Generalized Canonical Correlation Analysis (DGCCA) -- a ...
02/08/2017 ∙ by Adrian Benton, et al. ∙ 0 ∙ share

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Ordinal Common-sense Inference

Humans have the capacity to draw common-sense inferences from natural la...
11/02/2016 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study

In this paper, we focus on how to locate the relevant or discriminative ...
06/07/2015 ∙ by Yilun Wang, et al. ∙ 0 ∙ share

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Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification

In this paper, we consider voxel selection for functional Magnetic Reson...
10/17/2014 ∙ by Yilun Wang, et al. ∙ 0 ∙ share

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Sheng Zhang

Featured Co-authors

Jianfeng Gao

Benjamin Van Durme

Xin Zhang

Chao Chen

Jing Jiang

Jingjing Liu

Lianwen Jin

Hui Wang

Kevin Duh

Xiaodong Liu

Raman Arora

DeepFaceLab: A simple, flexible and extensible face swapping framework

Error Model of Radio Fingerprint and PDR Fusion Indoor Localization

Transductive Parsing for Universal Decompositional Semantics

The Universal Decompositional Semantics Dataset and Decomp Toolkit

Broad-Coverage Semantic Parsing as Transduction

Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from

Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration,

Neural Machine Reading Comprehension: Methods and Trends

Omnidirectional Scene Text Detection with Sequential-free Box Discretization

Finite-Time Analysis of Q-Learning with Linear Function Approximation

AMR Parsing as Sequence-to-Graph Transduction

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Learning to Detect Instantaneous Changes with Retrospective Convolution and Static Sample Synthesis

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction

Cross-lingual Semantic Parsing

Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds

Neural Davidsonian Semantic Proto-role Labeling

FPGA Implementations of 3D-SIMD Processor Architecture for Deep Neural Networks Using Relative Indexed Compressed Sparse Filter Encoding Format and Stacked Filters Stationary F

Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System

Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks

Random Euler Complex-Valued Nonlinear Filters

Feature Enhancement Network: A Refined Scene Text Detector

Deep Generalized Canonical Correlation Analysis

Ordinal Common-sense Inference

Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study

Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification