b'Xin Chen'

Optimal Clustering in Anisotropic Gaussian Mixture Models

We study the clustering task under anisotropic Gaussian Mixture Models w...
01/14/2021 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Certifiably Optimal Sparse Sufficient Dimension Reduction

Sufficient dimension reduction (SDR) is a popular tool in regression ana...
12/15/2020 ∙ by Lei Yan, et al. ∙ 0 ∙ share

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Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification

In the time-series analysis, the time series motifs and the order patter...
12/09/2020 ∙ by Yadong Zhang, et al. ∙ 0 ∙ share

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Object-Driven Active Mapping for More Accurate Object Pose Estimation and Robotic Grasping

This paper presents the first active object mapping framework for comple...
12/03/2020 ∙ by Yanmin Wu, et al. ∙ 0 ∙ share

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Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction

We present an efficient multi-view stereo (MVS) network for 3D reconstru...
11/25/2020 ∙ by Anzhu Yu, et al. ∙ 1 ∙ share

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Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity

Infrared (IR) image segmentation is essential in many urban defence appl...
11/25/2020 ∙ by Qinyan Huang, et al. ∙ 9 ∙ share

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Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction

Potential Drug-Drug Interaction(DDI) occurring while treating complex or...
10/22/2020 ∙ by Yingheng Wang, et al. ∙ 0 ∙ share

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Online Learning and Distributed Control for Residential Demand Response

This paper studies the automated control method for regulating air condi...
10/11/2020 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Palettailor: Discriminable Colorization for Categorical Data

We present an integrated approach for creating and assigning color palet...
09/07/2020 ∙ by Kecheng Lu, et al. ∙ 0 ∙ share

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Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap

Neural architecture search (NAS) has attracted increasing attentions in ...
08/04/2020 ∙ by Lingxi Xie, et al. ∙ 41 ∙ share

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Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization

Balancing common disease treatment and epidemic control is a key objecti...
08/02/2020 ∙ by Yu-Jun Zheng, et al. ∙ 15 ∙ share

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Secure Computation Framework for Multiple Data Providers Against Malicious Adversaries

Due to the great development of secure multi-party computation, many pra...
07/29/2020 ∙ by Zhili Chen, et al. ∙ 0 ∙ share

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GOLD-NAS: Gradual, One-Level, Differentiable

There has been a large literature of neural architecture search, but mos...
07/07/2020 ∙ by Kaifeng Bi, et al. ∙ 8 ∙ share

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Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data

Estimation of the covariance matrix of asset returns is crucial to portf...
06/30/2020 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph

This paper presents a fully automatic framework for extracting editable ...
05/27/2020 ∙ by Xin Chen, et al. ∙ 6 ∙ share

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A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity

This paper presents a novel meta learning framework for feature selectio...
05/20/2020 ∙ by Zixiao Shen, et al. ∙ 10 ∙ share

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A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets

In this paper, we propose a novel weighted combination feature selection...
05/11/2020 ∙ by Zixiao Shen, et al. ∙ 8 ∙ share

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Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework

In this paper, based on a fuzzy entropy feature selection framework, dif...
05/11/2020 ∙ by Zixiao Shen, et al. ∙ 6 ∙ share

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FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net

In this paper, we present a generic deep convolutional neural network (D...
04/28/2020 ∙ by Mina Jafari, et al. ∙ 15 ∙ share

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DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation

Residual network (ResNet) and densely connected network (DenseNet) have ...
04/28/2020 ∙ by Mina Jafari, et al. ∙ 52 ∙ share

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A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations

Semantic image segmentation is one of the most important tasks in medica...
04/20/2020 ∙ by Ning Zhang, et al. ∙ 14 ∙ share

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Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks

Neural architecture search has attracted wide attentions in both academi...
04/17/2020 ∙ by Xin Chen, et al. ∙ 6 ∙ share

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A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation

Deep learning based image segmentation has achieved the state-of-the-art...
04/16/2020 ∙ by Ruizhe Li, et al. ∙ 30 ∙ share

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Triad State Space Construction for Chaotic Signal Classification with Deep Learning

Inspired by the well-known permutation entropy (PE), an effective image ...
03/26/2020 ∙ by Yadong Zhang, et al. ∙ 6 ∙ share

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Circumventing Outliers of AutoAugment with Knowledge Distillation

AutoAugment has been a powerful algorithm that improves the accuracy of ...
03/25/2020 ∙ by Longhui Wei, et al. ∙ 6 ∙ share

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Online Residential Demand Response via Contextual Multi-Armed Bandits

Residential load demands have huge potential to be exploited to enhance ...
03/07/2020 ∙ by Xin Chen, et al. ∙ 8 ∙ share

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Biased Stochastic Gradient Descent for Conditional Stochastic Optimization

Conditional Stochastic Optimization (CSO) covers a variety of applicatio...
02/25/2020 ∙ by Yifan Hu, et al. ∙ 13 ∙ share

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Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification

Time series motifs play an important role in the time series analysis. T...
01/21/2020 ∙ by Yadong Zhang, et al. ∙ 21 ∙ share

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Latency-Aware Differentiable Neural Architecture Search

Differentiable neural architecture search methods became popular in auto...
01/17/2020 ∙ by Yuhui Xu, et al. ∙ 3 ∙ share

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Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild

With the rapid development of neural architecture search (NAS), research...
12/23/2019 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection

Sufficient dimension reduction (SDR) using distance covariance (DCOV) wa...
12/13/2019 ∙ by Runxiong Wu, et al. ∙ 0 ∙ share

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A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers

In this paper, we propose a more refined video segment based Mobile Edge...
11/25/2019 ∙ by Xinyu Huang, et al. ∙ 0 ∙ share

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Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters

Differentiable neural architecture search has been a popular methodology...
10/25/2019 ∙ by Kaifeng Bi, et al. ∙ 0 ∙ share

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Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation

Supervised semantic segmentation normally assumes the test data being in...
09/25/2019 ∙ by Xianxu Hou, et al. ∙ 0 ∙ share

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Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Data augmentation has been widely applied as an effective methodology to...
09/19/2019 ∙ by Zhuoxun He, et al. ∙ 0 ∙ share

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PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

Differentiable architecture search (DARTS) provided a fast solution in f...
07/12/2019 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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ReachNN: Reachability Analysis of Neural-Network Controlled Systems

Applying neural networks as controllers in dynamical systems has shown g...
06/25/2019 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization

In this paper, we study a class of stochastic optimization problems, ref...
05/28/2019 ∙ by Yifan Hu, et al. ∙ 0 ∙ share

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Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation

Recently, differentiable search methods have made major progress in redu...
04/29/2019 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Paying More Attention to Motion: Attention Distillation for Learning Video Representations

We address the challenging problem of learning motion representations us...
04/05/2019 ∙ by Miao Liu, et al. ∙ 0 ∙ share

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Towards 3D Human Shape Recovery Under Clothing

We present a learning-based scheme for robustly and accurately estimatin...
04/04/2019 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Singing voice conversion with non-parallel data

Singing voice conversion is a task to convert a song sang by a source si...
03/11/2019 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine

In this paper, we propose a recurrent neural network (RNN)-based MIDI mu...
12/18/2018 ∙ by Yichao Zhou, et al. ∙ 0 ∙ share

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Sufficient Dimension Reduction for Classification

We propose a new sufficient dimension reduction approach designed delibe...
12/10/2018 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation using Generative Models and Self-ensembling

Transferring knowledge across different datasets is an important approac...
12/02/2018 ∙ by Eman T. Hassan, et al. ∙ 0 ∙ share

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Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses

We study the problem of providing recommended responses to customer serv...
11/26/2018 ∙ by Mengting Wan, et al. ∙ 0 ∙ share

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Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding

Developers increasingly rely on text matching tools to analyze the relat...
10/23/2018 ∙ by Xiaochen Li, et al. ∙ 0 ∙ share

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2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy

Deep Convolutional Neural Networks (CNNs) offer remarkable performance o...
09/06/2018 ∙ by Chuhan Min, et al. ∙ 0 ∙ share

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α-Ball divergence and its applications to change-point problems for Banach-valued sequences

In this paper, we extend a measure of divergence between two distributio...
08/05/2018 ∙ by Qiang Zhang, et al. ∙ 0 ∙ share

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Generalized Linear Model for Gamma Distributed Variables via Elastic Net Regularization

The Generalized Linear Model (GLM) for the Gamma distribution (glmGamma)...
04/20/2018 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Xin Chen

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