Xiang Li

Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling

Teaching style plays an influential role in helping students to achieve ...
11/17/2019 ∙ by Suping Zhou, et al. ∙ 0 ∙ share

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Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

A major challenge in materials design is how to efficiently search the v...
11/12/2019 ∙ by Yabo Dan, et al. ∙ 0 ∙ share

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A General Early-Stopping Module for Crowdsourced Ranking

Crowdsourcing can be used to determine a total order for an object set (...
11/04/2019 ∙ by Caihua Shan, et al. ∙ 0 ∙ 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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Prediction stability as a criterion in active learning

Recent breakthroughs made by deep learning rely heavily on large number ...
10/27/2019 ∙ by Junyu Liu, et al. ∙ 0 ∙ share

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Communication Efficient Decentralized Training with Multiple Local Updates

Communication efficiency plays a significant role in decentralized optim...
10/21/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ 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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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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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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Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging

Imaging-based early diagnosis of Alzheimer Disease (AD) has become an ef...
10/01/2019 ∙ by Jiaming Guo, et al. ∙ 0 ∙ share

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Negotiation-based Human-Robot Collaboration via Augmented Reality

Effective human-robot collaboration (HRC) requires extensive communicati...
09/24/2019 ∙ by Kishan Chandan, et al. ∙ 0 ∙ share

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Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks

Early diagnosis of pathological invasiveness of pulmonary adenocarcinoma...
09/21/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Gene-Patterns: Should Architecture be Customized for Each Application?

Providing architectural support is crucial for newly arising application...
09/21/2019 ∙ by Yuhang Liu, et al. ∙ 0 ∙ 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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Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Semi-supervised learning is pervasive in real-world applications, where ...
07/29/2019 ∙ by Wanli Shi, et al. ∙ 0 ∙ 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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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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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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On the Convergence of FedAvg on Non-IID Data

Federated learning enables a large amount of edge computing devices to l...
07/04/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Cross-view Relation Networks for Mammogram Mass Detection

Mammogram is the most effective imaging modality for the mass lesion det...
07/01/2019 ∙ by Jiechao Ma, et al. ∙ 0 ∙ share

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Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks

Visible watermark plays an important role in image copyright protection ...
05/30/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

The Convolutional Neural Networks (CNNs) generate the feature representa...
05/23/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Optical machine learning with incoherent light and a single-pixel detector

The concept of optical diffractive neural network (DNN) is proposed rece...
04/24/2019 ∙ by Shuming Jiao, et al. ∙ 0 ∙ 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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On Model Adaptation for Sensorimotor Control of Robots

In this article, we address the problem of computing adaptive sensorimot...
04/13/2019 ∙ by David Navarro-Alarcon, et al. ∙ 0 ∙ 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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Selective Kernel Networks

In standard Convolutional Neural Networks (CNNs), the receptive fields o...
03/15/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Development of an Autonomous Sanding Robot with Structured-Light Technology

Large demand for robotics and automation has been reflected in the sandi...
03/08/2019 ∙ by Yingxin Huo, et al. ∙ 0 ∙ share

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A Unified Framework for Regularized Reinforcement Learning

We propose and study a general framework for regularized Markov decision...
03/02/2019 ∙ 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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Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Large-scale industrial recommender systems are usually confronted with c...
02/19/2019 ∙ by Han Zhu, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Xiang Li

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