Han Zhang

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Recent advances in semi-supervised learning (SSL) demonstrate that a com...
10/19/2020 ∙ by Yuliang Zou, et al. ∙ 15 ∙ share

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Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy

The human brains are organized into hierarchically modular networks faci...
09/15/2020 ∙ by Xuyun Wen, et al. ∙ 0 ∙ share

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GloDyNE: Global Topology Preserving Dynamic Network Embedding

Learning low-dimensional topological representation of a network in dyna...
08/05/2020 ∙ by Chengbin Hou, et al. ∙ 0 ∙ share

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Improving NER's Performance with Massive financial corpus

Training large deep neural networks needs massive high quality annotatio...
07/31/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation

Graph convolutional networks (GCN) have been recently applied to semi-su...
07/01/2020 ∙ by Songyang Zhang, et al. ∙ 0 ∙ share

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A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem

The reliable facility location problem (RFLP) is an important research t...
06/27/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Image Augmentations for GAN Training

Data augmentations have been widely studied to improve the accuracy and ...
06/04/2020 ∙ by Zhengli Zhao, et al. ∙ 18 ∙ share

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Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...
06/03/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...
06/03/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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How Does COVID-19 impact Students with Disabilities/Health Concerns?

The impact of COVID-19 on students has been enormous, with an increase i...
05/11/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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A Simple Semi-Supervised Learning Framework for Object Detection

Semi-supervised learning (SSL) has promising potential for improving the...
05/10/2020 ∙ by Kihyuk Sohn, et al. ∙ 3 ∙ share

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Solving Missing-Annotation Object Detection with Background Recalibration Loss

This paper focuses on a novel and challenging detection scenario: A majo...
02/12/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Improved Consistency Regularization for GANs

Recent work has increased the performance of Generative Adversarial Netw...
02/11/2020 ∙ by Zhengli Zhao, et al. ∙ 38 ∙ share

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ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

Current pre-training works in natural language generation pay little att...
01/26/2020 ∙ by Dongling Xiao, et al. ∙ 0 ∙ share

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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Semi-supervised learning (SSL) provides an effective means of leveraging...
01/21/2020 ∙ by Kihyuk Sohn, et al. ∙ 7 ∙ share

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MANELA: A Multi-Agent Algorithm for Learning Network Embeddings

Playing an essential role in data mining, machine learning has a long hi...
12/01/2019 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

We introduce a new local sparse attention layer that preserves two-dimen...
11/27/2019 ∙ by Giannis Daras, et al. ∙ 41 ∙ share

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ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

We improve the recently-proposed "MixMatch" semi-supervised learning alg...
11/21/2019 ∙ by David Berthelot, et al. ∙ 24 ∙ share

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Small-GAN: Speeding Up GAN Training Using Core-sets

Recent work by Brock et al. (2018) suggests that Generative Adversarial ...
10/29/2019 ∙ by Samarth Sinha, et al. ∙ 22 ∙ share

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Consistency Regularization for Generative Adversarial Networks

Generative Adversarial Networks (GANs) are known to be difficult to trai...
10/26/2019 ∙ by Han Zhang, et al. ∙ 28 ∙ share

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Combinatorial Losses through Generalized Gradients of Integer Linear Programs

When samples have internal structure, we often see a mismatch between th...
10/18/2019 ∙ by Xi Gao, et al. ∙ 0 ∙ share

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IEG: Robust Neural Network Training to Tackle Severe Label Noise

Collecting large-scale data with clean labels for supervised training of...
10/01/2019 ∙ by Zizhao Zhang, et al. ∙ 10 ∙ share

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Distributed Equivalent Substitution Training for Large-Scale Recommender Systems

We present Distributed Equivalent Substitution (DES) training, a novel d...
09/10/2019 ∙ by Haidong Rong, et al. ∙ 0 ∙ share

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Building change detection based on multi-scale filtering and grid partition

Building change detection is of great significance in high resolution re...
08/22/2019 ∙ by Qi Bi, et al. ∙ 8 ∙ share

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Multiple instance dense connected convolution neural network for aerial image scene classification

With the development of deep learning, many state-of-the-art natural ima...
08/22/2019 ∙ by Qi Bi, et al. ∙ 0 ∙ share

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Approximation Capabilities of Neural Ordinary Differential Equations

Neural Ordinary Differential Equations have been recently proposed as an...
07/30/2019 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Learning topological representation of a network in dynamic environments...
07/27/2019 ∙ by Chengbin Hou, et al. ∙ 0 ∙ share

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Brain Network Construction and Classification Toolbox (BrainNetClass)

Brain functional network has become an increasingly used approach in und...
06/17/2019 ∙ by Zhen Zhou, et al. ∙ 0 ∙ share

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ERNIE: Enhanced Representation through Knowledge Integration

We present a novel language representation model enhanced by knowledge c...
04/19/2019 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics

In this paper, we investigate deep learning (DL)-enabled signal demodula...
03/08/2019 ∙ by Hongmei Wang, et al. ∙ 8 ∙ share

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MIMO Channel Interpolation via Tucker Decomposed Extreme Learning Machine

Channel interpolation is an essential technique for providing high-accur...
12/26/2018 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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A Unified Mammogram Analysis Method via Hybrid Deep Supervision

Automatic mammogram classification and mass segmentation play a critical...
08/31/2018 ∙ by Rongzhao Zhang, et al. ∙ 0 ∙ share

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Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis

Brain functional connectivity (FC) extracted from resting-state fMRI (RS...
08/30/2018 ∙ by Weizheng Yan, et al. ∙ 0 ∙ share

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Self-Attention Generative Adversarial Networks

In this paper, we propose the Self-Attention Generative Adversarial Netw...
05/21/2018 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Improving GANs Using Optimal Transport

We present Optimal Transport GAN (OT-GAN), a variant of generative adver...
03/15/2018 ∙ by Tim Salimans, et al. ∙ 0 ∙ share

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AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

In this paper, we propose an Attentional Generative Adversarial Network ...
11/28/2017 ∙ by Tao Xu, et al. ∙ 0 ∙ share

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...
10/19/2017 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision

In this paper, we study learning visual classifiers from unstructured te...
09/04/2017 ∙ by Mohamed Elhoseiny, et al. ∙ 0 ∙ share

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SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image Segmentation

Inspired by classic generative adversarial networks (GAN), we propose a ...
06/06/2017 ∙ by Yuan Xue, et al. ∙ 0 ∙ share

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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...
12/10/2016 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Multi-lingual Geoparsing based on Machine Translation

Our method for multi-lingual geoparsing uses monolingual tools and resou...
11/06/2015 ∙ by Xu Chen, et al. ∙ 0 ∙ share

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Han Zhang

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