
Gleason Score Prediction using Deep Learning in Tissue Microarray Image
Prostate cancer (PCa) is one of the most common cancers in men around th...
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ICEGAN: Identityaware and CapsuleEnhanced GAN for MicroExpression Recognition and Synthesis
Microexpressions can reflect peoples true feelings and motives, which a...
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Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Reweighting
Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
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ShapeOriented Convolution Neural Network for Point Cloud Analysis
Point cloud is a principal data structure adopted for 3D geometric infor...
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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...
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Design of an MISOSWIPTAided CodeIndex Modulated MultiCarrier MDCSK System for eHealth IoT
Code index modulated multicarrier Mary differential chaos shift keying...
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Output Diversified Initialization for Adversarial Attacks
Adversarial examples are often constructed by iteratively refining a ran...
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Training Deep EnergyBased Models with fDivergence Minimization
Deep energybased models (EBMs) are very flexible in distribution parame...
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Gaussianization Flows
Iterative Gaussianization is a fixedpoint iteration procedure that can ...
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Permutation Invariant Graph Generation via ScoreBased Generative Modeling
Learning generative models for graphstructured data is challenging beca...
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Toward Predicting Success and Failure in CS2: A MixedMethod Analysis
Factors driving success and failure in CS1 are the subject of much study...
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Cell RCNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images
Instance segmentation is an important task for biomedical image analysis...
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Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation
Feedforward computations, such as evaluating a neural network or samplin...
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Arbitrarily Strong UtilityPrivacy Tradeoff in Decentralized Linear Estimation
Each agent in a network makes a local observation that is linearly relat...
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Region and Object based Panoptic Image Synthesis through Conditional GANs
Imagetoimage translation is significant to many computer vision and ma...
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ErrorCorrecting Neural Network
Errorcorrecting output codes (ECOC) is an ensemble method combining a s...
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Unsupervised OutofDistribution Detection with Batch Normalization
Likelihood from a generative model is a natural statistic for detecting ...
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Efficient Graph Generation with Graph Recurrent Attention Networks
We propose a new family of efficient and expressive deep generative mode...
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Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Incompleteness is a common problem for existing knowledge graphs (KGs), ...
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Extreme Language Model Compression with Optimal Subwords and Shared Projections
Pretrained deep neural network language models such as ELMo, GPT, BERT ...
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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...
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LSTMbased Flow Prediction
In this paper, a method of prediction on continuous time series variable...
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MintNet: Building Invertible Neural Networks with Masked Convolutions
We propose a new way of constructing invertible neural networks by combi...
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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...
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Generating Long and Informative Reviews with AspectAware CoarsetoFine Decoding
Generating long and informative review text is a challenging natural lan...
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GeoAware Networks for Fine Grained Recognition
Fine grained recognition distinguishes among categories with subtle visu...
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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...
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ClassBalanced Loss Based on Effective Number of Samples
With the rapid increase of largescale, realworld datasets, it becomes ...
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Compressive Privacy for a Linear Dynamical System
We consider a linear dynamical system in which the state vector consists...
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Beyond Inferring Class Representatives: UserLevel Privacy Leakage From Federated Learning
Federated learning, i.e., a mobile edge computing framework for deep lea...
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UWB/LiDAR Fusion For Cooperative RangeOnly SLAM
We equip an ultrawideband (UWB) node and a 2D LiDAR sensor a.k.a. 2D la...
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Deep Dual Pyramid Network for Barcode Segmentation using Barcode30k Database
Digital signs(such as barcode or QR code) are widely used in our daily l...
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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...
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Large Scale FineGrained Categorization and DomainSpecific Transfer Learning
Transferring the knowledge learned from large scale datasets (e.g., Imag...
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Generative Adversarial Examples
Adversarial examples are typically constructed by perturbing an existing...
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Talking Face Generation by Conditional Recurrent Adversarial Network
Given an arbitrary face image and an arbitrary speech clip, the proposed...
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SARA: SelfAware Resource Allocation for Heterogeneous MPSoCs
In modern heterogeneous MPSoCs, the management of shared memory resource...
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Accelerating Natural Gradient with HigherOrder Invariance
An appealing property of the natural gradient is that it is invariant to...
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Decoupled Learning for Conditional Adversarial Networks
Incorporating encodingdecoding nets with adversarial nets has been wide...
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Person Reidentification Using Visual Attention
Despite recent attempts for solving the person reidentification problem...
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The iNaturalist Challenge 2017 Dataset
Existing image classification datasets used in computer vision tend to h...
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Learning Unified Embedding for Apparel Recognition
In apparel recognition, specialized models (e.g. models trained for a pa...
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rBTN: Crossdomain Face Composite and Synthesis from Limited Facial Patches
We start by asking an interesting yet challenging question, "If an eyewi...
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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...
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Speed/accuracy tradeoffs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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Kernel Bayesian Inference with Posterior Regularization
We propose a vectorvalued regression problem whose solution is equivale...
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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 ...
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Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Bayesian matrix completion has been studied based on a lowrank matrix f...
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Learning Finegrained Image Similarity with Deep Ranking
Learning finegrained image similarity is a challenging task. It needs t...
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Yang Song
verfied profile
Ph.D Student at Stanford University.