b'Hao Zhang'

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...
07/08/2019 ∙ by Zelin Dai, et al. ∙ 1 ∙ share

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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...
07/02/2019 ∙ by Peng Lu, et al. ∙ 5 ∙ share

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

Recognizing written domain numeric utterances (e.g. I need 1.25.) can be...
07/01/2019 ∙ by Cal Peyser, et al. ∙ 2 ∙ share

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

For bidirectional joint image-text modeling, we develop variational hete...
05/18/2019 ∙ by Hao Zhang, et al. ∙ 4 ∙ share

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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, ...
05/15/2019 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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BAE-NET: Branched Autoencoder for Shape Co-Segmentation

We treat shape co-segmentation as a representation learning problem and ...
03/27/2019 ∙ by Zhiqin Chen, et al. ∙ 10 ∙ share

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

We introduce CoSegNet, a deep neural network architecture for co-segment...
03/25/2019 ∙ by Chenyang Zhu, et al. ∙ 28 ∙ share

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LOGAN: Unpaired Shape Transform in Latent Overcomplete Space

We present LOGAN, a deep neural network aimed at learning generic shape ...
03/25/2019 ∙ by Kangxue Yin, et al. ∙ 31 ∙ share

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Alternating Synthetic and Real Gradients for Neural Language Modeling

Training recurrent neural networks (RNNs) with backpropagation through t...
02/27/2019 ∙ by Fangxin Shang, et al. ∙ 2 ∙ share

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

We propose a convolutional neural network (CNN) denoising based method f...
02/27/2019 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Complex-Valued Neural Networks for Privacy Protection

This paper proposes a generic method to revise traditional neural networ...
01/28/2019 ∙ by Liyao Xiang, et al. ∙ 12 ∙ share

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Learning Implicit Fields for Generative Shape Modeling

We advocate the use of implicit fields for learning generative models of...
12/06/2018 ∙ by Zhiqin Chen, et al. ∙ 0 ∙ share

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

Data-driven generative modeling has made remarkable progress by leveragi...
11/19/2018 ∙ by Nadav Schor, et al. ∙ 0 ∙ share

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

The developments of deep neural networks (DNN) in recent years have ushe...
10/31/2018 ∙ by Qiang Hu, et al. ∙ 0 ∙ share

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Deep Poisson gamma dynamical systems

We develop deep Poisson-gamma dynamical systems (DPGDS) to model sequent...
10/26/2018 ∙ by Dandan Guo, et al. ∙ 0 ∙ share

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Event Representation through Semantic Roles: Evaluation of Coverage

Semantic role theory is a widely used approach for event representation....
10/09/2018 ∙ by Aliaksandr Huminski, et al. ∙ 0 ∙ share

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Towards Verifying Semantic Roles Co-occurrence

Semantic role theory considers roles as a small universal set of unanaly...
10/09/2018 ∙ by Aliaksandr Huminski, et al. ∙ 0 ∙ share

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Toward Understanding the Impact of Staleness in Distributed Machine Learning

Many distributed machine learning (ML) systems adopt the non-synchronous...
10/08/2018 ∙ by Wei Dai, et al. ∙ 2 ∙ share

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Hartley Spectral Pooling for Deep Learning

In most convolution neural networks (CNNs), downsampling hidden layers i...
10/07/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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AutoLoss: Learning Discrete Schedules for Alternate Optimization

Many machine learning problems involve iteratively and alternately optim...
10/04/2018 ∙ by Haowen Xu, et al. ∙ 8 ∙ share

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SCORES: Shape Composition with Recursive Substructure Priors

We introduce SCORES, a recursive neural network for shape composition. O...
09/14/2018 ∙ by Chenyang Zhu, et al. ∙ 4 ∙ share

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

Gaokao is the annual academic qualification examination for college admi...
09/12/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Semantic WordRank: Generating Finer Single-Document Summarizations

We present Semantic WordRank (SWR), an unsupervised method for generatin...
09/12/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Dual-label Deep LSTM Dereverberation For Speaker Verification

In this paper, we present a reverberation removal approach for speaker v...
09/08/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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

The Fact Extraction and VERification (FEVER) shared task was launched to...
09/03/2018 ∙ by Andreas Hanselowski, et al. ∙ 0 ∙ share

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SketchyScene: Richly-Annotated Scene Sketches

We contribute the first large-scale dataset of scene sketches, SketchySc...
08/07/2018 ∙ by Changqing Zou, et al. ∙ 0 ∙ share

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GRAINS: Generative Recursive Autoencoders for INdoor Scenes

We present a generative neural network which enables us to generate plau...
07/24/2018 ∙ by Manyi Li, et al. ∙ 0 ∙ share

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The VIREO KIS at VBS 2018

This short paper presents the video browsing tool of VIREO team which ha...
05/30/2018 ∙ by Phuong Anh Nguyen, et al. ∙ 0 ∙ share

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

We present a semi-supervised co-analysis method for learning 3D shape st...
04/18/2018 ∙ by Fenggen Yu, et al. ∙ 0 ∙ share

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On the Selection of Anchors and Targets for Video Hyperlinking

A problem not well understood in video hyperlinking is what qualifies a ...
04/14/2018 ∙ by Zhi-Qi Cheng, et al. ∙ 1 ∙ share

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P2P-NET: Bidirectional Point Displacement Net for Shape Transform

We introduce P2P-NET, a general-purpose deep neural network which learns...
03/25/2018 ∙ by Kangxue Yin, et al. ∙ 0 ∙ share

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P2P-NET: Bidirectional Point Displacement Network for Shape Transform

We introduce P2P-NET, a general-purpose deep neural network which learns...
03/25/2018 ∙ by Kangxue Yin, et al. ∙ 0 ∙ share

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Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning

We introduce BranchGAN, a novel training method that enables uncondition...
03/22/2018 ∙ by Zili Yi, et al. ∙ 0 ∙ share

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WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

To train an inference network jointly with a deep generative topic model...
03/04/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Modeling Precipitation Extremes using Log-Histospline

One of the commonly used approaches to modeling univariate extremes is t...
02/26/2018 ∙ by Whitney K. Huang, et al. ∙ 0 ∙ share

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High-throughput, high-resolution Generated Adversarial Network Microscopy

We for the first time combine generated adversarial network (GAN) with w...
01/07/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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

Recent deep learning (DL) models have moved beyond static network archit...
12/11/2017 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Structured Generative Adversarial Networks

We study the problem of conditional generative modeling based on designa...
11/02/2017 ∙ by Zhijie Deng, et al. ∙ 0 ∙ share

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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...
10/01/2017 ∙ by Liqun Shao, et al. ∙ 0 ∙ share

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

Developing a safe and efficient collision avoidance policy for multiple ...
09/28/2017 ∙ by Pinxin Long, et al. ∙ 0 ∙ share

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Generative Semantic Manipulation with Contrasting GAN

Generative Adversarial Networks (GANs) have recently achieved significan...
08/01/2017 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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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...
06/11/2017 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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GRASS: Generative Recursive Autoencoders for Shape Structures

We introduce a novel neural network architecture for encoding and synthe...
05/05/2017 ∙ by Jun Li, et al. ∙ 0 ∙ share

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

Conditional Generative Adversarial Networks (GANs) for cross-domain imag...
04/08/2017 ∙ by Zili Yi, et al. ∙ 0 ∙ share

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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...
03/26/2017 ∙ by Wei Dai, et al. ∙ 0 ∙ share

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

Many problems in image processing and computer vision (e.g. colorization...
03/21/2017 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Recurrent Topic-Transition GAN for Visual Paragraph Generation

A natural image usually conveys rich semantic content and can be viewed ...
03/21/2017 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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

Apprenticeship learning has recently attracted a wide attention due to i...
02/24/2017 ∙ by Fei Han, et al. ∙ 0 ∙ share

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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...
02/24/2017 ∙ by Fei Han, et al. ∙ 0 ∙ share

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Learning Concept Taxonomies from Multi-modal Data

We study the problem of automatically building hypernym taxonomies from ...
06/29/2016 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Hao Zhang

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