b'Hao Zhang'

research

∙ 07/08/2019

Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent

Multiple sequence to sequence models were used to establish an end-to-en...

Zelin Dai, et al. ∙

research

∙ 07/02/2019

An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos

As one of the fundamental techniques for image editing, image cropping d...

Peng Lu, et al. ∙

research

∙ 07/01/2019

Improving Performance of End-to-End ASR on Numeric Sequences

Recognizing written domain numeric utterances (e.g. I need 1.25.) can be...

Cal Peyser, et al. ∙

research

∙ 05/18/2019

Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling

For bidirectional joint image-text modeling, we develop variational hete...

Hao Zhang, et al. ∙

research

∙ 05/15/2019

Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections

In this paper, we propose a novel low-tubal-rank tensor recovery model, ...

Hao Zhang, et al. ∙

research

∙ 03/27/2019

BAE-NET: Branched Autoencoder for Shape Co-Segmentation

We treat shape co-segmentation as a representation learning problem and ...

Zhiqin Chen, et al. ∙

research

∙ 03/25/2019

CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss

We introduce CoSegNet, a deep neural network architecture for co-segment...

Chenyang Zhu, et al. ∙

research

∙ 03/25/2019

LOGAN: Unpaired Shape Transform in Latent Overcomplete Space

We present LOGAN, a deep neural network aimed at learning generic shape ...

Kangxue Yin, et al. ∙

research

∙ 02/27/2019

Alternating Synthetic and Real Gradients for Neural Language Modeling

Training recurrent neural networks (RNNs) with backpropagation through t...

Fangxin Shang, et al. ∙

research

∙ 02/27/2019

Can learning from natural image denoising be used for seismic data interpolation?

We propose a convolutional neural network (CNN) denoising based method f...

Hao Zhang, et al. ∙

research

∙ 01/28/2019

Complex-Valued Neural Networks for Privacy Protection

This paper proposes a generic method to revise traditional neural networ...

Liyao Xiang, et al. ∙

research

∙ 12/06/2018

Learning Implicit Fields for Generative Shape Modeling

We advocate the use of implicit fields for learning generative models of...

Zhiqin Chen, et al. ∙

research

∙ 11/19/2018

Learning to Generate the "Unseen" via Part Synthesis and Composition

Data-driven generative modeling has made remarkable progress by leveragi...

Nadav Schor, et al. ∙

research

∙ 10/31/2018

Nearly-tight bounds on linear regions of piecewise linear neural networks

The developments of deep neural networks (DNN) in recent years have ushe...

Qiang Hu, et al. ∙

research

∙ 10/26/2018

Deep Poisson gamma dynamical systems

We develop deep Poisson-gamma dynamical systems (DPGDS) to model sequent...

Dandan Guo, et al. ∙

research

∙ 10/09/2018

Event Representation through Semantic Roles: Evaluation of Coverage

Semantic role theory is a widely used approach for event representation....

Aliaksandr Huminski, et al. ∙

research

∙ 10/09/2018

Towards Verifying Semantic Roles Co-occurrence

Semantic role theory considers roles as a small universal set of unanaly...

Aliaksandr Huminski, et al. ∙

research

∙ 10/08/2018

Toward Understanding the Impact of Staleness in Distributed Machine Learning

Many distributed machine learning (ML) systems adopt the non-synchronous...

Wei Dai, et al. ∙

research

∙ 10/07/2018

Hartley Spectral Pooling for Deep Learning

In most convolution neural networks (CNNs), downsampling hidden layers i...

Hao Zhang, et al. ∙

research

∙ 10/04/2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization

Many machine learning problems involve iteratively and alternately optim...

Haowen Xu, et al. ∙

research

∙ 09/14/2018

SCORES: Shape Composition with Recursive Substructure Priors

We introduce SCORES, a recursive neural network for shape composition. O...

Chenyang Zhu, et al. ∙

research

∙ 09/12/2018

Effective Predictions of Gaokao Admission Scores for College Applications in Mainland China

Gaokao is the annual academic qualification examination for college admi...

Hao Zhang, et al. ∙

research

∙ 09/12/2018

Semantic WordRank: Generating Finer Single-Document Summarizations

We present Semantic WordRank (SWR), an unsupervised method for generatin...

Hao Zhang, et al. ∙

research

∙ 09/08/2018

Dual-label Deep LSTM Dereverberation For Speaker Verification

In this paper, we present a reverberation removal approach for speaker v...

Hao Zhang, et al. ∙

research

∙ 09/03/2018

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

The Fact Extraction and VERification (FEVER) shared task was launched to...

Andreas Hanselowski, et al. ∙

research

∙ 08/07/2018

SketchyScene: Richly-Annotated Scene Sketches

We contribute the first large-scale dataset of scene sketches, SketchySc...

Changqing Zou, et al. ∙

research

∙ 07/24/2018

GRAINS: Generative Recursive Autoencoders for INdoor Scenes

We present a generative neural network which enables us to generate plau...

Manyi Li, et al. ∙

research

∙ 05/30/2018

The VIREO KIS at VBS 2018

This short paper presents the video browsing tool of VIREO team which ha...

Phuong Anh Nguyen, et al. ∙

research

∙ 04/18/2018

Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines

We present a semi-supervised co-analysis method for learning 3D shape st...

Fenggen Yu, et al. ∙

research

∙ 04/14/2018

On the Selection of Anchors and Targets for Video Hyperlinking

A problem not well understood in video hyperlinking is what qualifies a ...

Zhi-Qi Cheng, et al. ∙

research

∙ 03/25/2018

P2P-NET: Bidirectional Point Displacement Net for Shape Transform

We introduce P2P-NET, a general-purpose deep neural network which learns...

Kangxue Yin, et al. ∙

research

∙ 03/25/2018

P2P-NET: Bidirectional Point Displacement Network for Shape Transform

We introduce P2P-NET, a general-purpose deep neural network which learns...

Kangxue Yin, et al. ∙

research

∙ 03/22/2018

Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning

We introduce BranchGAN, a novel training method that enables uncondition...

Zili Yi, et al. ∙

research

∙ 03/04/2018

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

To train an inference network jointly with a deep generative topic model...

Hao Zhang, et al. ∙

research

∙ 02/26/2018

Modeling Precipitation Extremes using Log-Histospline

One of the commonly used approaches to modeling univariate extremes is t...

Whitney K. Huang, et al. ∙

research

∙ 01/07/2018

High-throughput, high-resolution Generated Adversarial Network Microscopy

We for the first time combine generated adversarial network (GAN) with w...

Hao Zhang, et al. ∙

research

∙ 12/11/2017

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks

Recent deep learning (DL) models have moved beyond static network archit...

Hao Zhang, et al. ∙

research

∙ 11/02/2017

Structured Generative Adversarial Networks

We study the problem of conditional generative modeling based on designa...

Zhijie Deng, et al. ∙

research

∙ 10/01/2017

Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality

Our task is to generate an effective summary for a given document with s...

Liqun Shao, et al. ∙

research

∙ 09/28/2017

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Developing a safe and efficient collision avoidance policy for multiple ...

Pinxin Long, et al. ∙

research

∙ 08/01/2017

Generative Semantic Manipulation with Contrasting GAN

Generative Adversarial Networks (GANs) have recently achieved significan...

Xiaodan Liang, et al. ∙

research

∙ 06/11/2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Deep learning models can take weeks to train on a single GPU-equipped ma...

Hao Zhang, et al. ∙

research

∙ 05/05/2017

GRASS: Generative Recursive Autoencoders for Shape Structures

We introduce a novel neural network architecture for encoding and synthe...

Jun Li, et al. ∙

research

∙ 04/08/2017

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Conditional Generative Adversarial Networks (GANs) for cross-domain imag...

Zili Yi, et al. ∙

research

∙ 03/26/2017

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays

Chest X-ray (CXR) is one of the most commonly prescribed medical imaging...

Wei Dai, et al. ∙

research

∙ 03/21/2017

ZM-Net: Real-time Zero-shot Image Manipulation Network

Many problems in image processing and computer vision (e.g. colorization...

Hao Wang, et al. ∙

research

∙ 03/21/2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation

A natural image usually conveys rich semantic content and can be viewed ...

Xiaodan Liang, et al. ∙

research

∙ 02/24/2017

Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making

Apprenticeship learning has recently attracted a wide attention due to i...

Fei Han, et al. ∙

research

∙ 02/24/2017

Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors

Robot awareness of human actions is an essential research problem in rob...

Fei Han, et al. ∙

research

∙ 06/29/2016

Learning Concept Taxonomies from Multi-modal Data

We study the problem of automatically building hypernym taxonomies from ...

Hao Zhang, et al. ∙

Hao Zhang

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