Xiang Li

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images

Cell detection and cell type classification from biomedical images play ...
10/07/2019 ∙ by Wei Qiu, et al. ∙ 56 ∙ share

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An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

In this paper, we propose a Deep Reinforcement Learning (RL) framework f...
11/04/2019 ∙ by Caihua Shan, et al. ∙ 22 ∙ share

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Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification

Point cloud classification plays an important role in a wide range of ai...
08/19/2019 ∙ by Congcong Wen, et al. ∙ 16 ∙ share

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Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...
10/06/2019 ∙ by Xiang Li, et al. ∙ 15 ∙ share

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Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification

To better address challenging issues of the irregularity and inhomogenei...
10/14/2019 ∙ by Xiang Li, et al. ∙ 10 ∙ share

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ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning

Extracting multi-scale information is key to semantic segmentation. Howe...
07/07/2019 ∙ by Mo Zhang, et al. ∙ 7 ∙ share

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Triple Attention Mixed Link Network for Single Image Super Resolution

Single image super resolution is of great importance as a low-level comp...
10/08/2018 ∙ by Xi Cheng, et al. ∙ 6 ∙ share

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ConvLab: Multi-Domain End-to-End Dialog System Platform

We present ConvLab, an open-source multi-domain end-to-end dialog system...
04/18/2019 ∙ by Sungjin Lee, et al. ∙ 6 ∙ share

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FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

Over the past few years, we have witnessed the success of deep learning ...
07/29/2019 ∙ by Tianhan Wei, et al. ∙ 4 ∙ share

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Non-Rigid Point Set Registration Networks

Point set registration is defined as a process to determine the spatial ...
04/02/2019 ∙ by Lingjing Wang, et al. ∙ 4 ∙ share

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Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning

Cardiovascular disease accounts for 1 in every 4 deaths in United States...
08/06/2018 ∙ by Jiasha Liu, et al. ∙ 2 ∙ share

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Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Semi-supervised learning (SSL) plays an increasingly important role in t...
07/26/2019 ∙ by Xiang Geng, et al. ∙ 2 ∙ share

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Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes

Image analysis using more than one modality (i.e. multi-modal) has been ...
10/31/2017 ∙ by Zhe Guo, et al. ∙ 0 ∙ share

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Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net

Reliable cell segmentation and classification from biomedical images is ...
10/23/2017 ∙ by Mo Zhang, et al. ∙ 0 ∙ share

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Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories

Precision medicine requires the precision disease risk prediction models...
07/31/2017 ∙ by Jing Mei, et al. ∙ 0 ∙ share

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On better training the infinite restricted Boltzmann machines

The infinite restricted Boltzmann machine (iRBM) is an extension of the ...
09/11/2017 ∙ by Xuan Peng, et al. ∙ 0 ∙ share

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Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis

We propose a novel denoising framework for task functional Magnetic Reso...
07/21/2017 ∙ by Seongah Jeong, et al. ∙ 0 ∙ share

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Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis

Tissue characterization has long been an important component of Computer...
07/19/2017 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net

In this article, we derive a Bayesian model to learning the sparse and l...
05/29/2017 ∙ by Songting Shi, et al. ∙ 0 ∙ share

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Community Detection with Graph Neural Networks

We study data-driven methods for community detection in graphs. This est...
05/23/2017 ∙ by Joan Bruna, et al. ∙ 0 ∙ share

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Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal

Understanding shadows from a single image spontaneously derives into two...
12/07/2017 ∙ by Jifeng Wang, et al. ∙ 0 ∙ share

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Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders

Unsupervised Image-to-Image Translation achieves spectacularly advanced ...
12/06/2017 ∙ by Le Hui, et al. ∙ 0 ∙ share

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Maximum Likelihood Estimation for Single Linkage Hierarchical Clustering

We derive a statistical model for estimation of a dendrogram from single...
11/25/2015 ∙ by Dekang Zhu, et al. ∙ 0 ∙ share

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Statistical Properties of the Single Linkage Hierarchical Clustering Estimator

Distance-based hierarchical clustering (HC) methods are widely used in u...
11/24/2015 ∙ by Dekang Zhu, et al. ∙ 0 ∙ share

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An Enhanced Deep Feature Representation for Person Re-identification

Feature representation and metric learning are two critical components i...
04/26/2016 ∙ by Shangxuan Wu, et al. ∙ 0 ∙ share

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Improved Representation Learning for Predicting Commonsense Ontologies

Recent work in learning ontologies (hierarchical and partially-ordered s...
08/01/2017 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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LightRNN: Memory and Computation-Efficient Recurrent Neural Networks

Recurrent neural networks (RNNs) have achieved state-of-the-art performa...
10/31/2016 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems

Open-domain human-computer conversation has attracted much attention in ...
10/23/2016 ∙ by Yiping Song, et al. ∙ 0 ∙ share

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StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation

Existing open-domain human-computer conversation systems are typically p...
04/15/2016 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

This paper first answers the question "why do the two most powerful tech...
01/16/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Mixed Link Networks

Basing on the analysis by revealing the equivalence of modern networks, ...
02/06/2018 ∙ by Wenhai Wang, et al. ∙ 0 ∙ share

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SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Single image super resolution is a very important computer vision task, ...
01/31/2018 ∙ by Xi Cheng, et al. ∙ 0 ∙ share

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Adversarial Metric Learning

In the past decades, intensive efforts have been put to design various l...
02/09/2018 ∙ by Shuo Chen, et al. ∙ 0 ∙ share

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Can Early Joining Participants Contribute More? - Timeliness Sensitive Incentivization for Crowdsensing

This paper investigates the incentive mechanism design from a novel and ...
10/05/2017 ∙ by Yuedong Xu, et al. ∙ 0 ∙ share

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Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Deep neural networks have recently been shown to achieve highly competit...
02/03/2018 ∙ by Zixiang Ding, et al. ∙ 0 ∙ share

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Pelee: A Real-Time Object Detection System on Mobile Devices

An increasing need of running Convolutional Neural Network (CNN) models ...
04/18/2018 ∙ by Robert J. Wang, et al. ∙ 0 ∙ share

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Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures

Embedding methods which enforce a partial order or lattice structure ove...
05/17/2018 ∙ by Luke Vilnis, et al. ∙ 0 ∙ share

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Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks

Tasks such as search and recommendation have become increas- ingly impor...
05/28/2018 ∙ by Yabo Ni, et al. ∙ 0 ∙ share

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Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)

Simultaneous modeling of the spatio-temporal variation patterns of brain...
05/31/2018 ∙ by Yu Zhao, et al. ∙ 0 ∙ share

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Shape Robust Text Detection with Progressive Scale Expansion Network

The challenges of shape robust text detection lie in two aspects: 1) mos...
06/07/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface

Modern wireless communication is one of the most important information t...
06/12/2018 ∙ by Jie Zhao, et al. ∙ 0 ∙ share

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Adversarial Open-World Person Re-Identification

In a typical real-world application of re-id, a watch-list (gallery set)...
07/27/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Network Modeling and Pathway Inference from Incomplete Data ("PathInf")

In this work, we developed a network inference method from incomplete da...
10/01/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks

In healthcare, applying deep learning models to electronic health record...
10/17/2018 ∙ by Jing Mei, et al. ∙ 0 ∙ share

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Wireless Communications with Programmable Metasurface: Transceiver Design and Experimental Results

Metasurfaces have drawn significant attentions due to their superior cap...
11/20/2018 ∙ by Wankai Tang, et al. ∙ 0 ∙ share

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Improving the Robustness of Speech Translation

Although neural machine translation (NMT) has achieved impressive progre...
11/02/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks

Deep neural networks (DNNs) have been enormously successful across a var...
12/17/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images

Early diagnosis of pulmonary nodules (PNs) can improve the survival rate...
12/18/2018 ∙ by Jiechao Ma, et al. ∙ 0 ∙ share

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Do Subsampled Newton Methods Work for High-Dimensional Data?

Subsampled Newton methods approximate Hessian matrices through subsampli...
02/13/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Dynamic Feature Fusion for Semantic Edge Detection

Features from multiple scales can greatly benefit the semantic edge dete...
02/25/2019 ∙ by Yuan Hu, et al. ∙ 0 ∙ share

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Xiang Li

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