Jie Chen

Adaptive Explainable Neural Networks (AxNNs)

While machine learning techniques have been successfully applied in seve...
04/05/2020 ∙ by Jie Chen, et al. ∙ 108 ∙ share

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Embedding Compression with Isotropic Iterative Quantization

Continuous representation of words is a standard component in deep learn...
01/11/2020 ∙ by Siyu Liao, et al. ∙ 36 ∙ share

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DAG-GNN: DAG Structure Learning with Graph Neural Networks

Learning a faithful directed acyclic graph (DAG) from samples of a joint...
04/22/2019 ∙ by Yue Yu, et al. ∙ 34 ∙ share

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Chart Auto-Encoders for Manifold Structured Data

Auto-encoding and generative models have made tremendous successes in im...
12/20/2019 ∙ by Stefan Schonsheck, et al. ∙ 31 ∙ share

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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

This paper presents a variational Bayesian kernel selection (VBKS) algor...
12/05/2019 ∙ by Tong Teng, et al. ∙ 28 ∙ share

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A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario

To guarantee the safe and efficient motion planning of autonomous drivin...
04/18/2019 ∙ by Chenyang Xi, et al. ∙ 24 ∙ share

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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Graph representation learning resurges as a trending research subject ow...
02/26/2019 ∙ by Aldo Pareja, et al. ∙ 20 ∙ share

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Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection

We address weakly-supervised video actor-action segmentation (VAAS), whi...
03/29/2020 ∙ by Jie Chen, et al. ∙ 20 ∙ share

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Policy Gradient from Demonstration and Curiosity

With reinforcement learning, an agent could learn complex behaviors from...
04/22/2020 ∙ by Jie Chen, et al. ∙ 19 ∙ share

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Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Deep neural networks, while generalize well, are known to be sensitive t...
02/12/2020 ∙ by Xiao Zang, et al. ∙ 17 ∙ share

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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

Change detection is a basic task of remote sensing image processing. The...
03/07/2020 ∙ by Jie Chen, et al. ∙ 15 ∙ share

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A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation

Spectral unmixing is an important and challenging problem in hyperspectr...
02/22/2019 ∙ by Min Zhao, et al. ∙ 14 ∙ share

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Adaptively Aligned Image Captioning via Adaptive Attention Time

Recent neural models for image captioning usually employs an encoder-dec...
09/19/2019 ∙ by Lun Huang, et al. ∙ 13 ∙ share

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Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

Hierarchical abstractions are a methodology for solving large-scale grap...
12/24/2019 ∙ by Tengfei Ma, et al. ∙ 12 ∙ share

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CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator

Deep neural networks (DNNs) are vulnerable to adversarial attack despite...
12/16/2019 ∙ by Huy Phan, et al. ∙ 11 ∙ share

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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Remote sensing image scene classification is a fundamental but challengi...
01/27/2020 ∙ by Jie Chen, et al. ∙ 7 ∙ share

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Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Neural networks with ReLU activations have achieved great empirical succ...
08/14/2018 ∙ by Gang Wang, et al. ∙ 6 ∙ share

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IPC: A Benchmark Data Set for Learning with Graph-Structured Data

Benchmark data sets are an indispensable ingredient of the evaluation of...
05/15/2019 ∙ by Patrick Ferber, et al. ∙ 4 ∙ share

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Learning High-fidelity Light Field Images From Hybrid Inputs

This paper explores the reconstruction of high-fidelity LF images (i.e.,...
07/23/2019 ∙ by Jing Jin, et al. ∙ 4 ∙ share

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Attention on Attention for Image Captioning

Attention mechanisms are widely used in current encoder/decoder framewor...
08/19/2019 ∙ by Lun Huang, et al. ∙ 4 ∙ share

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A Survey of Recent Advances in Texture Representation

Texture is a fundamental characteristic of many types of images, and tex...
01/31/2018 ∙ by Li Liu, et al. ∙ 2 ∙ share

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SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond

In this paper, we establish a baseline for object reflection symmetry de...
07/17/2018 ∙ by Wei Ke, et al. ∙ 2 ∙ share

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A Sequential Set Generation Method for Predicting Set-Valued Outputs

Consider a general machine learning setting where the output is a set of...
03/12/2019 ∙ by Tian Gao, et al. ∙ 2 ∙ share

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Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization

Light field (LF) images acquired by hand-held devices usually suffer fro...
04/05/2020 ∙ by Jing Jin, et al. ∙ 1 ∙ share

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Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications

In this paper, we design and analyze a new zeroth-order online algorithm...
10/21/2017 ∙ by Sijia Liu, et al. ∙ 0 ∙ share

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Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions

Depth estimation is a fundamental problem for light field photography ap...
08/07/2017 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition

Human vision possesses strong invariance in image recognition. The cogni...
08/04/2017 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Solving Almost all Systems of Random Quadratic Equations

This paper deals with finding an n-dimensional solution x to a system of...
05/29/2017 ∙ by Gang Wang, et al. ∙ 0 ∙ share

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Adaptation and learning over networks for nonlinear system modeling

In this chapter, we analyze nonlinear filtering problems in distributed ...
04/28/2017 ∙ by Simone Scardapane, et al. ∙ 0 ∙ share

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RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

Remote sensing image classification is a fundamental task in remote sens...
05/30/2017 ∙ by Haifeng Li, et al. ∙ 0 ∙ share

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What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?

Recently, deep convolutional neural network (DCNN) achieved increasingly...
05/19/2017 ∙ by Haifeng Li, et al. ∙ 0 ∙ share

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Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow

A novel approach termed stochastic truncated amplitude flow (STAF) is de...
10/29/2016 ∙ by Gang Wang, et al. ∙ 0 ∙ share

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On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps

Positive-definite kernel functions are fundamental elements of kernel me...
10/27/2016 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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SRN: Side-output Residual Network for Object Symmetry Detection in the Wild

In this paper, we establish a baseline for object symmetry detection in ...
03/07/2017 ∙ by Wei Ke, et al. ∙ 0 ∙ share

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Hierarchically Compositional Kernels for Scalable Nonparametric Learning

We propose a novel class of kernels to alleviate the high computational ...
08/02/2016 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena

The problem of modeling and predicting spatiotemporal traffic phenomena ...
08/09/2014 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model

In this paper, a self-learning approach is proposed towards solving scen...
11/22/2016 ∙ by Qixiang Ye, et al. ∙ 0 ∙ share

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Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views

Recent imaging technologies are rapidly evolving for sampling richer and...
10/12/2016 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation

The expressive power of a Gaussian process (GP) model comes at a cost of...
11/17/2014 ∙ by Kian Hsiang Low, et al. ∙ 0 ∙ share

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Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations

Gaussian processes (GP) are Bayesian non-parametric models that are wide...
08/09/2014 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model

Central to robot exploration and mapping is the task of persistent local...
04/21/2014 ∙ by Nuo Xu, et al. ∙ 0 ∙ share

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HEp-2 Cell Classification: The Role of Gaussian Scale Space Theory as A Pre-processing Approach

Indirect Immunofluorescence Imaging of Human Epithelial Type 2 (HEp-2) c...
09/08/2015 ∙ by Xianbiao Qi, et al. ∙ 0 ∙ share

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Online dictionary learning for kernel LMS. Analysis and forward-backward splitting algorithm

Adaptive filtering algorithms operating in reproducing kernel Hilbert sp...
06/22/2013 ∙ by Wei Gao, et al. ∙ 0 ∙ share

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Symmetric low-rank representation for subspace clustering

We propose a symmetric low-rank representation (SLRR) method for subspac...
10/31/2014 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Multitask diffusion adaptation over networks with common latent representations

Online learning with streaming data in a distributed and collaborative m...
02/13/2017 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Compressive Phase Retrieval via Reweighted Amplitude Flow

The problem of reconstructing a sparse signal vector from magnitude-only...
12/06/2017 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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Linear-Cost Covariance Functions for Gaussian Random Fields

Gaussian random fields (GRF) are a fundamental stochastic model for spat...
11/16/2017 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Transient performance analysis of zero-attracting LMS

Zero-attracting least-mean-square (ZA-LMS) algorithm has been widely use...
08/25/2016 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

The graph convolutional networks (GCN) recently proposed by Kipf and Wel...
01/30/2018 ∙ by Jie Chen, et al. ∙ 0 ∙ share

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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

To ensure undisrupted business, large Internet companies need to closely...
02/12/2018 ∙ by Haowen Xu, et al. ∙ 0 ∙ share

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Jie Chen

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