b'Yang Song'

Gleason Score Prediction using Deep Learning in Tissue Microarray Image

Prostate cancer (PCa) is one of the most common cancers in men around th...
05/11/2020 ∙ by Yi-hong Zhang, et al. ∙ 0 ∙ share

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ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis

Micro-expressions can reflect peoples true feelings and motives, which a...
05/09/2020 ∙ by Jianhui Yu, et al. ∙ 3 ∙ share

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Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
05/05/2020 ∙ by Dongnan Liu, et al. ∙ 19 ∙ share

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Shape-Oriented Convolution Neural Network for Point Cloud Analysis

Point cloud is a principal data structure adopted for 3D geometric infor...
04/20/2020 ∙ by Chaoyi Zhang, et al. ∙ 8 ∙ share

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Improving 3D Object Detection through Progressive Population Based Augmentation

Data augmentation has been widely adopted for object detection in 3D poi...
04/02/2020 ∙ by Shuyang Cheng, et al. ∙ 1 ∙ share

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Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT

Code index modulated multi-carrier M-ary differential chaos shift keying...
03/16/2020 ∙ by Guofa Cai, et al. ∙ 0 ∙ share

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Output Diversified Initialization for Adversarial Attacks

Adversarial examples are often constructed by iteratively refining a ran...
03/15/2020 ∙ by Yusuke Tashiro, et al. ∙ 4 ∙ share

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Training Deep Energy-Based Models with f-Divergence Minimization

Deep energy-based models (EBMs) are very flexible in distribution parame...
03/06/2020 ∙ by Lantao Yu, et al. ∙ 14 ∙ share

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Gaussianization Flows

Iterative Gaussianization is a fixed-point iteration procedure that can ...
03/04/2020 ∙ by Chenlin Meng, et al. ∙ 7 ∙ share

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Permutation Invariant Graph Generation via Score-Based Generative Modeling

Learning generative models for graph-structured data is challenging beca...
03/02/2020 ∙ by Chenhao Niu, et al. ∙ 18 ∙ share

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Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis

Factors driving success and failure in CS1 are the subject of much study...
02/25/2020 ∙ by Lucas Layman, et al. ∙ 0 ∙ share

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Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images

Instance segmentation is an important task for biomedical image analysis...
02/15/2020 ∙ by Dongnan Liu, et al. ∙ 6 ∙ share

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Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation

Feedforward computations, such as evaluating a neural network or samplin...
02/10/2020 ∙ by Yang Song, et al. ∙ 40 ∙ share

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Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation

Each agent in a network makes a local observation that is linearly relat...
01/16/2020 ∙ by Chong Xiao Wang, et al. ∙ 0 ∙ share

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Region and Object based Panoptic Image Synthesis through Conditional GANs

Image-to-image translation is significant to many computer vision and ma...
12/14/2019 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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Error-Correcting Neural Network

Error-correcting output codes (ECOC) is an ensemble method combining a s...
11/30/2019 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Unsupervised Out-of-Distribution Detection with Batch Normalization

Likelihood from a generative model is a natural statistic for detecting ...
10/21/2019 ∙ by Jiaming Song, et al. ∙ 48 ∙ share

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Efficient Graph Generation with Graph Recurrent Attention Networks

We propose a new family of efficient and expressive deep generative mode...
10/02/2019 ∙ by Renjie Liao, et al. ∙ 16 ∙ share

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Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

Incompleteness is a common problem for existing knowledge graphs (KGs), ...
09/26/2019 ∙ by Yao Zhu, et al. ∙ 0 ∙ share

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Extreme Language Model Compression with Optimal Subwords and Shared Projections

Pre-trained deep neural network language models such as ELMo, GPT, BERT ...
09/25/2019 ∙ by Sanqiang Zhao, et al. ∙ 0 ∙ share

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A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics

In industrial data analytics, one of the fundamental problems is to util...
08/22/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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LSTM-based Flow Prediction

In this paper, a method of prediction on continuous time series variable...
08/09/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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MintNet: Building Invertible Neural Networks with Masked Convolutions

We propose a new way of constructing invertible neural networks by combi...
07/18/2019 ∙ by Yang Song, et al. ∙ 3 ∙ share

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Generative Modeling by Estimating Gradients of the Data Distribution

We introduce a new generative model where samples are produced via Lange...
07/12/2019 ∙ by Yang Song, et al. ∙ 16 ∙ share

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Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

Generating long and informative review text is a challenging natural lan...
06/11/2019 ∙ by Junyi Li, et al. ∙ 0 ∙ share

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Geo-Aware Networks for Fine Grained Recognition

Fine grained recognition distinguishes among categories with subtle visu...
06/04/2019 ∙ by Grace Chu, et al. ∙ 2 ∙ share

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Sliced Score Matching: A Scalable Approach to Density and Score Estimation

Score matching is a popular method for estimating unnormalized statistic...
05/17/2019 ∙ by Yang Song, et al. ∙ 6 ∙ share

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Class-Balanced Loss Based on Effective Number of Samples

With the rapid increase of large-scale, real-world datasets, it becomes ...
01/16/2019 ∙ by Yin Cui, et al. ∙ 16 ∙ share

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Compressive Privacy for a Linear Dynamical System

We consider a linear dynamical system in which the state vector consists...
12/09/2018 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Federated learning, i.e., a mobile edge computing framework for deep lea...
12/03/2018 ∙ by Zhibo Wang, et al. ∙ 0 ∙ share

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UWB/LiDAR Fusion For Cooperative Range-Only SLAM

We equip an ultra-wideband (UWB) node and a 2D LiDAR sensor a.k.a. 2D la...
11/07/2018 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database

Digital signs(such as barcode or QR code) are widely used in our daily l...
07/31/2018 ∙ by Qijie Zhao, et al. ∙ 4 ∙ share

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3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation

Advanced deep learning methods have been developed to conduct prostate M...
07/18/2018 ∙ by Haozhe Jia, et al. ∙ 0 ∙ share

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Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

Transferring the knowledge learned from large scale datasets (e.g., Imag...
06/16/2018 ∙ by Yin Cui, et al. ∙ 0 ∙ share

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Generative Adversarial Examples

Adversarial examples are typically constructed by perturbing an existing...
05/21/2018 ∙ by Yang Song, et al. ∙ 8 ∙ share

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Talking Face Generation by Conditional Recurrent Adversarial Network

Given an arbitrary face image and an arbitrary speech clip, the proposed...
04/13/2018 ∙ by Yang Song, et al. ∙ 0 ∙ share

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SARA: Self-Aware Resource Allocation for Heterogeneous MPSoCs

In modern heterogeneous MPSoCs, the management of shared memory resource...
04/05/2018 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Accelerating Natural Gradient with Higher-Order Invariance

An appealing property of the natural gradient is that it is invariant to...
03/04/2018 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Decoupled Learning for Conditional Adversarial Networks

Incorporating encoding-decoding nets with adversarial nets has been wide...
01/21/2018 ∙ by Zhifei Zhang, et al. ∙ 0 ∙ share

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Person Re-identification Using Visual Attention

Despite recent attempts for solving the person re-identification problem...
07/23/2017 ∙ by Alireza Rahimpour, et al. ∙ 1 ∙ share

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The iNaturalist Challenge 2017 Dataset

Existing image classification datasets used in computer vision tend to h...
07/20/2017 ∙ by Grant Van Horn, et al. ∙ 0 ∙ share

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Learning Unified Embedding for Apparel Recognition

In apparel recognition, specialized models (e.g. models trained for a pa...
07/19/2017 ∙ by Yang Song, et al. ∙ 0 ∙ share

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r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches

We start by asking an interesting yet challenging question, "If an eyewi...
06/02/2017 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Age Progression/Regression by Conditional Adversarial Autoencoder

"If I provide you a face image of mine (without telling you the actual a...
02/27/2017 ∙ by Zhifei Zhang, et al. ∙ 0 ∙ share

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Speed/accuracy trade-offs for modern convolutional object detectors

The goal of this paper is to serve as a guide for selecting a detection ...
11/30/2016 ∙ by Jonathan Huang, et al. ∙ 0 ∙ share

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Kernel Bayesian Inference with Posterior Regularization

We propose a vector-valued regression problem whose solution is equivale...
07/07/2016 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Improving the Robustness of Deep Neural Networks via Stability Training

In this paper we address the issue of output instability of deep neural ...
04/15/2016 ∙ by Stephan Zheng, et al. ∙ 0 ∙ share

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Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization

Bayesian matrix completion has been studied based on a low-rank matrix f...
12/03/2015 ∙ by Yang Song, et al. ∙ 0 ∙ share

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Learning Fine-grained Image Similarity with Deep Ranking

Learning fine-grained image similarity is a challenging task. It needs t...
04/17/2014 ∙ by Jiang Wang, et al. ∙ 0 ∙ share

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Yang Song

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