b'Yang Song'

research

∙ 05/11/2020

Gleason Score Prediction using Deep Learning in Tissue Microarray Image

Prostate cancer (PCa) is one of the most common cancers in men around th...

Yi-hong Zhang, et al. ∙

research

∙ 05/09/2020

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...

Jianhui Yu, et al. ∙

research

∙ 05/05/2020

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

Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...

Dongnan Liu, et al. ∙

research

∙ 04/20/2020

Shape-Oriented Convolution Neural Network for Point Cloud Analysis

Point cloud is a principal data structure adopted for 3D geometric infor...

Chaoyi Zhang, et al. ∙

research

∙ 04/02/2020

Improving 3D Object Detection through Progressive Population Based Augmentation

Data augmentation has been widely adopted for object detection in 3D poi...

Shuyang Cheng, et al. ∙

research

∙ 03/16/2020

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...

Guofa Cai, et al. ∙

research

∙ 03/15/2020

Output Diversified Initialization for Adversarial Attacks

Adversarial examples are often constructed by iteratively refining a ran...

Yusuke Tashiro, et al. ∙

research

∙ 03/06/2020

Training Deep Energy-Based Models with f-Divergence Minimization

Deep energy-based models (EBMs) are very flexible in distribution parame...

Lantao Yu, et al. ∙

research

∙ 03/04/2020

Gaussianization Flows

Iterative Gaussianization is a fixed-point iteration procedure that can ...

Chenlin Meng, et al. ∙

research

∙ 03/02/2020

Permutation Invariant Graph Generation via Score-Based Generative Modeling

Learning generative models for graph-structured data is challenging beca...

Chenhao Niu, et al. ∙

research

∙ 02/25/2020

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

Factors driving success and failure in CS1 are the subject of much study...

Lucas Layman, et al. ∙

research

∙ 02/15/2020

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

Instance segmentation is an important task for biomedical image analysis...

Dongnan Liu, et al. ∙

research

∙ 02/10/2020

Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation

Feedforward computations, such as evaluating a neural network or samplin...

Yang Song, et al. ∙

research

∙ 01/16/2020

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

Each agent in a network makes a local observation that is linearly relat...

Chong Xiao Wang, et al. ∙

research

∙ 12/14/2019

Region and Object based Panoptic Image Synthesis through Conditional GANs

Image-to-image translation is significant to many computer vision and ma...

Heng Wang, et al. ∙

research

∙ 11/30/2019

Error-Correcting Neural Network

Error-correcting output codes (ECOC) is an ensemble method combining a s...

Yang Song, et al. ∙

research

∙ 10/21/2019

Unsupervised Out-of-Distribution Detection with Batch Normalization

Likelihood from a generative model is a natural statistic for detecting ...

Jiaming Song, et al. ∙

research

∙ 10/02/2019

Efficient Graph Generation with Graph Recurrent Attention Networks

We propose a new family of efficient and expressive deep generative mode...

Renjie Liao, et al. ∙

research

∙ 09/26/2019

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

Incompleteness is a common problem for existing knowledge graphs (KGs), ...

Yao Zhu, et al. ∙

research

∙ 09/25/2019

Extreme Language Model Compression with Optimal Subwords and Shared Projections

Pre-trained deep neural network language models such as ELMo, GPT, BERT ...

Sanqiang Zhao, et al. ∙

research

∙ 08/22/2019

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

In industrial data analytics, one of the fundamental problems is to util...

Hongzhi Wang, et al. ∙

research

∙ 08/09/2019

LSTM-based Flow Prediction

In this paper, a method of prediction on continuous time series variable...

Hongzhi Wang, et al. ∙

research

∙ 07/18/2019

MintNet: Building Invertible Neural Networks with Masked Convolutions

We propose a new way of constructing invertible neural networks by combi...

Yang Song, et al. ∙

research

∙ 07/12/2019

Generative Modeling by Estimating Gradients of the Data Distribution

We introduce a new generative model where samples are produced via Lange...

Yang Song, et al. ∙

research

∙ 06/11/2019

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

Generating long and informative review text is a challenging natural lan...

Junyi Li, et al. ∙

research

∙ 06/04/2019

Geo-Aware Networks for Fine Grained Recognition

Fine grained recognition distinguishes among categories with subtle visu...

Grace Chu, et al. ∙

research

∙ 05/17/2019

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

Score matching is a popular method for estimating unnormalized statistic...

Yang Song, et al. ∙

research

∙ 01/16/2019

Class-Balanced Loss Based on Effective Number of Samples

With the rapid increase of large-scale, real-world datasets, it becomes ...

Yin Cui, et al. ∙

research

∙ 12/09/2018

Compressive Privacy for a Linear Dynamical System

We consider a linear dynamical system in which the state vector consists...

Yang Song, et al. ∙

research

∙ 12/03/2018

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

Federated learning, i.e., a mobile edge computing framework for deep lea...

Zhibo Wang, et al. ∙

research

∙ 11/07/2018

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...

Yang Song, et al. ∙

research

∙ 07/31/2018

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...

Qijie Zhao, et al. ∙

research

∙ 07/18/2018

3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation

Advanced deep learning methods have been developed to conduct prostate M...

Haozhe Jia, et al. ∙

research

∙ 06/16/2018

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

Transferring the knowledge learned from large scale datasets (e.g., Imag...

Yin Cui, et al. ∙

research

∙ 05/21/2018

Generative Adversarial Examples

Adversarial examples are typically constructed by perturbing an existing...

Yang Song, et al. ∙

research

∙ 04/13/2018

Talking Face Generation by Conditional Recurrent Adversarial Network

Given an arbitrary face image and an arbitrary speech clip, the proposed...

Yang Song, et al. ∙

research

∙ 04/05/2018

SARA: Self-Aware Resource Allocation for Heterogeneous MPSoCs

In modern heterogeneous MPSoCs, the management of shared memory resource...

Yang Song, et al. ∙

research

∙ 03/04/2018

Accelerating Natural Gradient with Higher-Order Invariance

An appealing property of the natural gradient is that it is invariant to...

Yang Song, et al. ∙

research

∙ 01/21/2018

Decoupled Learning for Conditional Adversarial Networks

Incorporating encoding-decoding nets with adversarial nets has been wide...

Zhifei Zhang, et al. ∙

research

∙ 07/23/2017

Person Re-identification Using Visual Attention

Despite recent attempts for solving the person re-identification problem...

Alireza Rahimpour, et al. ∙

research

∙ 07/20/2017

The iNaturalist Challenge 2017 Dataset

Existing image classification datasets used in computer vision tend to h...

Grant Van Horn, et al. ∙

research

∙ 07/19/2017

Learning Unified Embedding for Apparel Recognition

In apparel recognition, specialized models (e.g. models trained for a pa...

Yang Song, et al. ∙

research

∙ 06/02/2017

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

We start by asking an interesting yet challenging question, "If an eyewi...

Yang Song, et al. ∙

research

∙ 02/27/2017

Age Progression/Regression by Conditional Adversarial Autoencoder

"If I provide you a face image of mine (without telling you the actual a...

Zhifei Zhang, et al. ∙

research

∙ 11/30/2016

Speed/accuracy trade-offs for modern convolutional object detectors

The goal of this paper is to serve as a guide for selecting a detection ...

Jonathan Huang, et al. ∙

research

∙ 07/07/2016

Kernel Bayesian Inference with Posterior Regularization

We propose a vector-valued regression problem whose solution is equivale...

Yang Song, et al. ∙

research

∙ 04/15/2016

Improving the Robustness of Deep Neural Networks via Stability Training

In this paper we address the issue of output instability of deep neural ...

Stephan Zheng, et al. ∙

research

∙ 12/03/2015

Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization

Bayesian matrix completion has been studied based on a low-rank matrix f...

Yang Song, et al. ∙

research

∙ 04/17/2014

Learning Fine-grained Image Similarity with Deep Ranking

Learning fine-grained image similarity is a challenging task. It needs t...

Jiang Wang, et al. ∙

Yang Song

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