
A Practical Chinese Dependency Parser Based on A Largescale Dataset
Dependency parsing is a longstanding natural language processing task, w...
read it

Multivariate Relations Aggregation Learning in Social Networks
Multivariate relations are general in various types of networks, such as...
read it

Feedback Enhanced Motion Planning for Autonomous Vehicles
In this work, we address the motion planning problem for autonomous vehi...
read it

BottomUp Human Pose Estimation by Ranking HeatmapGuided Adaptive Keypoint Estimates
The typical bottomup human pose estimation framework includes two stage...
read it

Classify and Generate Reciprocally: Simultaneous PositiveUnlabelled Learning and Conditional Generation with Extra Data
The scarcity of classlabeled data is a ubiquitous bottleneck in a wide ...
read it

Seq2seq Translation Model for Sequential Recommendation
The context information such as product category plays a critical role i...
read it

InformationGeometric Set Embeddings (IGSE): From Sets to Probability Distributions
This letter introduces an abstract learning problem called the “set embe...
read it

Patchlevel Neighborhood Interpolation: A General and Effective Graphbased Regularization Strategy
Regularization plays a crucial role in machine learning models, especial...
read it

A Note on Our Submission to Track 4 of iDASH 2019
iDASH is a competition soliciting implementations of cryptographic schem...
read it

Deep HighResolution Representation Learning for Visual Recognition
Highresolution representations are essential for positionsensitive vis...
read it

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
The design of deep graph models still remains to be investigated and the...
read it

Learning Deep Image Priors for Blind Image Denoising
Image denoising is the process of removing noise from noisy images, whic...
read it

Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
We present a new method for improving the performances of variational au...
read it

Lightlike Neuromanifolds, Occam's Razor and Deep Learning
Why do deep neural networks generalize with a very high dimensional para...
read it

Experimental Quantumenhanced Cryptographic Remote Control
The Internet of Things (IoT), as a cuttingedge integrated crosstechnol...
read it

HighResolution Representations for Labeling Pixels and Regions
Highresolution representation learning plays an essential role in many ...
read it

FisherBures Adversary Graph Convolutional Networks
In a graph convolutional network, we assume that the graph G is generate...
read it

Virtual Adversarial Training on Graph Convolutional Networks in Node Classification
The effectiveness of Graph Convolutional Networks (GCNs) has been demons...
read it

MultiStage SelfSupervised Learning for Graph Convolutional Networks
Graph Convolutional Networks(GCNs) play a crucial role in graph learning...
read it

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Deep neural networks have been widely deployed in various machine learni...
read it

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Most previous works usually explained adversarial examples from several ...
read it

Deep HighResolution Representation Learning for Human Pose Estimation
This is an official pytorch implementation of Deep HighResolution Repre...
read it

Learning requirements for stealth attacks
The learning data requirements are analyzed for the construction of stea...
read it

Relative GeometryAware Siamese Neural Network for 6DOF Camera Relocalization
6DOF camera relocalization is an important component of autonomous drivi...
read it

On The Chain Rule Optimal Transport Distance
We define a novel class of distances between statistical multivariate di...
read it

Intrinsic Universal Measurements of Nonlinear Embeddings
A basic problem in machine learning is to find a mapping f from a low di...
read it

Stochastic 2D Motion Planning with a POMDP Framework
Motion planning is challenging when it comes to the case of imperfect st...
read it

The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots
In this paper we describe the Open Vision Computer (OVC) which was desig...
read it

Stealth Attacks on the Smart Grid
Random attacks that jointly minimize the amount of information acquired ...
read it

Chinese Lexical Analysis with Deep BiGRUCRF Network
Lexical analysis is believed to be a crucial step towards natural langua...
read it

Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures
The total variation distance is a core statistical distance between prob...
read it

Experiments in Fast, Autonomous, GPSDenied Quadrotor Flight
High speed navigation through unknown environments is a challenging prob...
read it

IGCV3: Interleaved LowRank Group Convolutions for Efficient Deep Neural Networks
In this paper, we are interested in building lightweight and efficient c...
read it

qNeurons: Neuron Activations based on Stochastic Jackson's Derivative Operators
We propose a new generic type of stochastic neurons, called qneurons, t...
read it

L_pNorm Constrained Coding With FrankWolfe Network
We investigate the problem of L_pnorm constrained coding, i.e. converti...
read it

Dense 3D Mapping with Spatial Correlation via Gaussian Filtering
Constructing an occupancy representation of the environment is a fundame...
read it

Fast, Autonomous Flight in GPSDenied and Cluttered Environments
One of the most challenging tasks for a flying robot is to autonomously ...
read it

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
In recent years, visionaided inertial odometry for state estimation has...
read it

Human Pose Estimation using Global and Local Normalization
In this paper, we address the problem of estimating the positions of hum...
read it

Clustering in Hilbert simplex geometry
Clustering categorical distributions in the probability simplex is a fun...
read it

On Hölder projective divergences
We describe a framework to build distances by measuring the tightness of...
read it

Deep Feature Consistent Variational Autoencoder
We present a novel method for constructing Variational Autoencoder (VAE)...
read it

Automatic Visual Theme Discovery from Joint Image and Text Corpora
A popular approach to semantic image understanding is to manually tag im...
read it

Object Specific Deep Learning Feature and Its Application to Face Detection
We present a method for discovering and exploiting object specific deep ...
read it

Guaranteed bounds on the KullbackLeibler divergence of univariate mixtures using piecewise logsumexp inequalities
Informationtheoretic measures such as the entropy, crossentropy and th...
read it

TwoStage Metric Learning
In this paper, we present a novel twostage metric learning algorithm. W...
read it
Ke Sun
is this you? claim profile
patent scientist at Duane Morris LLP since 2017, Postdoc fellow at Caltech from 20132017, PhD Nanoelectronics and nanomaterials at University of California San Diego 20092013.