b'Xiang Li'

research

∙ 11/17/2019

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 ...

Suping Zhou, et al. ∙

research

∙ 11/12/2019

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...

Yabo Dan, et al. ∙

research

∙ 11/04/2019

A General Early-Stopping Module for Crowdsourced Ranking

Crowdsourcing can be used to determine a total order for an object set (...

Caihua Shan, et al. ∙

research

∙ 11/04/2019

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...

Caihua Shan, et al. ∙

research

∙ 10/27/2019

Prediction stability as a criterion in active learning

Recent breakthroughs made by deep learning rely heavily on large number ...

Junyu Liu, et al. ∙

research

∙ 10/21/2019

Communication Efficient Decentralized Training with Multiple Local Updates

Communication efficiency plays a significant role in decentralized optim...

Xiang Li, et al. ∙

research

∙ 10/14/2019

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

To better address challenging issues of the irregularity and inhomogenei...

Xiang Li, et al. ∙

research

∙ 10/07/2019

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

Cell detection and cell type classification from biomedical images play ...

Wei Qiu, et al. ∙

research

∙ 10/06/2019

Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...

Xiang Li, et al. ∙

research

∙ 10/01/2019

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...

Jiaming Guo, et al. ∙

research

∙ 09/24/2019

Negotiation-based Human-Robot Collaboration via Augmented Reality

Effective human-robot collaboration (HRC) requires extensive communicati...

Kishan Chandan, et al. ∙

research

∙ 09/21/2019

Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks

Early diagnosis of pathological invasiveness of pulmonary adenocarcinoma...

Xiang Li, et al. ∙

research

∙ 09/21/2019

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

Providing architectural support is crucial for newly arising application...

Yuhang Liu, et al. ∙

research

∙ 08/19/2019

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...

Congcong Wen, et al. ∙

research

∙ 07/29/2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Semi-supervised learning is pervasive in real-world applications, where ...

Wanli Shi, et al. ∙

research

∙ 07/29/2019

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

Over the past few years, we have witnessed the success of deep learning ...

Tianhan Wei, et al. ∙

research

∙ 07/26/2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Semi-supervised learning (SSL) plays an increasingly important role in t...

Xiang Geng, et al. ∙

research

∙ 07/07/2019

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

Extracting multi-scale information is key to semantic segmentation. Howe...

Mo Zhang, et al. ∙

research

∙ 07/04/2019

On the Convergence of FedAvg on Non-IID Data

Federated learning enables a large amount of edge computing devices to l...

Xiang Li, et al. ∙

research

∙ 07/01/2019

Cross-view Relation Networks for Mammogram Mass Detection

Mammogram is the most effective imaging modality for the mass lesion det...

Jiechao Ma, et al. ∙

research

∙ 05/30/2019

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

Visible watermark plays an important role in image copyright protection ...

Xiang Li, et al. ∙

research

∙ 05/23/2019

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

The Convolutional Neural Networks (CNNs) generate the feature representa...

Xiang Li, et al. ∙

research

∙ 04/24/2019

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

The concept of optical diffractive neural network (DNN) is proposed rece...

Shuming Jiao, et al. ∙

research

∙ 04/18/2019

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

We present ConvLab, an open-source multi-domain end-to-end dialog system...

Sungjin Lee, et al. ∙

research

∙ 04/13/2019

On Model Adaptation for Sensorimotor Control of Robots

In this article, we address the problem of computing adaptive sensorimot...

David Navarro-Alarcon, et al. ∙

research

∙ 04/02/2019

Non-Rigid Point Set Registration Networks

Point set registration is defined as a process to determine the spatial ...

Lingjing Wang, et al. ∙

research

∙ 03/15/2019

Selective Kernel Networks

In standard Convolutional Neural Networks (CNNs), the receptive fields o...

Xiang Li, et al. ∙

research

∙ 03/08/2019

Development of an Autonomous Sanding Robot with Structured-Light Technology

Large demand for robotics and automation has been reflected in the sandi...

Yingxin Huo, et al. ∙

research

∙ 03/02/2019

A Unified Framework for Regularized Reinforcement Learning

We propose and study a general framework for regularized Markov decision...

Xiang Li, et al. ∙

research

∙ 02/25/2019

Dynamic Feature Fusion for Semantic Edge Detection

Features from multiple scales can greatly benefit the semantic edge dete...

Yuan Hu, et al. ∙

research

∙ 02/19/2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Large-scale industrial recommender systems are usually confronted with c...

Han Zhu, et al. ∙

research

∙ 02/13/2019

Do Subsampled Newton Methods Work for High-Dimensional Data?

Subsampled Newton methods approximate Hessian matrices through subsampli...

Xiang Li, et al. ∙

research

∙ 12/18/2018

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...

Jiechao Ma, et al. ∙

research

∙ 12/17/2018

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

Deep neural networks (DNNs) have been enormously successful across a var...

Xiang Li, et al. ∙

research

∙ 11/20/2018

Wireless Communications with Programmable Metasurface: Transceiver Design and Experimental Results

Metasurfaces have drawn significant attentions due to their superior cap...

Wankai Tang, et al. ∙

research

∙ 11/02/2018

Improving the Robustness of Speech Translation

Although neural machine translation (NMT) has achieved impressive progre...

Xiang Li, et al. ∙

research

∙ 10/17/2018

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

In healthcare, applying deep learning models to electronic health record...

Jing Mei, et al. ∙

research

∙ 10/08/2018

Triple Attention Mixed Link Network for Single Image Super Resolution

Single image super resolution is of great importance as a low-level comp...

Xi Cheng, et al. ∙

research

∙ 10/01/2018

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

In this work, we developed a network inference method from incomplete da...

Xiang Li, et al. ∙

research

∙ 08/06/2018

Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning

Cardiovascular disease accounts for 1 in every 4 deaths in United States...

Jiasha Liu, et al. ∙

research

∙ 07/27/2018

Adversarial Open-World Person Re-Identification

In a typical real-world application of re-id, a watch-list (gallery set)...

Xiang Li, et al. ∙

research

∙ 06/12/2018

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...

Jie Zhao, et al. ∙

research

∙ 06/07/2018

Shape Robust Text Detection with Progressive Scale Expansion Network

The challenges of shape robust text detection lie in two aspects: 1) mos...

Xiang Li, et al. ∙

research

∙ 05/31/2018

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

Simultaneous modeling of the spatio-temporal variation patterns of brain...

Yu Zhao, et al. ∙

research

∙ 05/28/2018

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...

Yabo Ni, et al. ∙

research

∙ 05/17/2018

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures

Embedding methods which enforce a partial order or lattice structure ove...

Luke Vilnis, et al. ∙

research

∙ 04/18/2018

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

An increasing need of running Convolutional Neural Network (CNN) models ...

Robert J. Wang, et al. ∙

research

∙ 02/09/2018

Adversarial Metric Learning

In the past decades, intensive efforts have been put to design various l...

Shuo Chen, et al. ∙

research

∙ 02/06/2018

Mixed Link Networks

Basing on the analysis by revealing the equivalence of modern networks, ...

Wenhai Wang, et al. ∙

research

∙ 02/03/2018

Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Deep neural networks have recently been shown to achieve highly competit...

Zixiang Ding, et al. ∙

Xiang Li

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