Yong Liu

Automatic Data Augmentation by Learning the Deterministic Policy

Aiming to produce sufficient and diverse training samples, data augmenta...
10/18/2019 ∙ by Yinghuan Shi, et al. ∙ 53 ∙ share

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Risk Analysis of Divide-and-Conquer ERM

Theoretical analysis of the divide-and-conquer based distributed learnin...
03/09/2020 ∙ by Yong Liu, et al. ∙ 26 ∙ share

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PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

In this paper, we propose PASS3D to achieve point-wise semantic segmenta...
09/04/2019 ∙ by Xin Kong, et al. ∙ 19 ∙ share

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Nearly Optimal Risk Bounds for Kernel K-Means

In this paper, we study the statistical properties of the kernel k-means...
03/09/2020 ∙ by Yong Liu, et al. ∙ 19 ∙ share

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From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

A lot of efforts have been devoted to investigating how agents can learn...
09/06/2019 ∙ by Weixun Wang, et al. ∙ 14 ∙ share

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Face-to-Parameter Translation for Game Character Auto-Creation

Character customization system is an important component in Role-Playing...
09/03/2019 ∙ by Tianyang Shi, et al. ∙ 10 ∙ share

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A Learning Framework for n-bit Quantized Neural Networks toward FPGAs

The quantized neural network (QNN) is an efficient approach for network ...
04/06/2020 ∙ by Jun Chen, et al. ∙ 10 ∙ share

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Differentially Private ERM Based on Data Perturbation

In this paper, after observing that different training data instances af...
02/20/2020 ∙ by Yilin Kang, et al. ∙ 7 ∙ share

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AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets

Organs-at-risk (OAR) delineation in computed tomography (CT) is an impor...
01/13/2020 ∙ by Shanlin Sun, et al. ∙ 6 ∙ share

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Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback

Recommendation is the task of improving customer experience through pers...
07/03/2017 ∙ by Peng Yang, et al. ∙ 0 ∙ share

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Large Margin Object Tracking with Circulant Feature Maps

Structured output support vector machine (SVM) based tracking algorithms...
03/15/2017 ∙ by Mengmeng Wang, et al. ∙ 0 ∙ share

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Real-time 3D Human Tracking for Mobile Robots with Multisensors

Acquiring the accurate 3-D position of a target person around a robot pr...
03/15/2017 ∙ by Mengmeng Wang, et al. ∙ 0 ∙ share

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Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation

Many standard robotic platforms are equipped with at least a fixed 2D la...
10/17/2016 ∙ by Yiyi Liao, et al. ∙ 0 ∙ share

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RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature

This paper presents a novel appearance and shape feature, RISAS, which i...
03/14/2016 ∙ by Kanzhi Wu, et al. ∙ 0 ∙ share

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Place classification with a graph regularized deep neural network model

Place classification is a fundamental ability that a robot should posses...
06/12/2015 ∙ by Yiyi Liao, et al. ∙ 0 ∙ share

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Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge

This paper presents the contribution to the third 'CHiME' speech separat...
09/21/2015 ∙ by Xiaofei Wang, et al. ∙ 0 ∙ share

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Robust Visual SLAM with Point and Line Features

In this paper, we develop a robust efficient visual SLAM system that uti...
11/23/2017 ∙ by Xingxing Zuo, et al. ∙ 0 ∙ share

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Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships

Context is important for accurate visual recognition. In this work we pr...
06/30/2018 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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SL^2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization

Synthetic lethality (SL) is a promising concept for novel discovery of a...
10/20/2018 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy

Methods: Our deep learning model, called AnatomyNet, segments OARs from ...
08/15/2018 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

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Adaptive Re-ranking of Deep Feature for Person Re-identification

Typical person re-identification (re-ID) methods train a deep CNN to ext...
11/21/2018 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Max-Diversity Distributed Learning: Theory and Algorithms

We study the risk performance of distributed learning for the regulariza...
12/19/2018 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking

Ontology can be used for the interpretation of natural language. To cons...
12/05/2018 ∙ by Ying Shen, et al. ∙ 0 ∙ share

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Reversible Video Data Hiding Using Zero QDCT Coefficient-Pairs

There exist many zero quantized discrete cosine transform (QDCT) coeffic...
04/18/2018 ∙ by Yi Chen, et al. ∙ 0 ∙ share

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Very Long Term Field of View Prediction for 360-degree Video Streaming

360-degree videos have gained increasing popularity in recent years with...
02/04/2019 ∙ by Chenge Li, et al. ∙ 0 ∙ share

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Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning

Decision support is a probabilistic and quantitative method designed for...
12/05/2018 ∙ by Ying Shen, et al. ∙ 0 ∙ share

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Efficient Cross-Validation for Semi-Supervised Learning

Manifold regularization, such as laplacian regularized least squares (La...
02/13/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions

Named entity discovery and linking is the fundamental and core component...
12/05/2018 ∙ by Kai Lei, et al. ∙ 0 ∙ share

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Multi-Scale Quasi-RNN for Next Item Recommendation

How to better utilize sequential information has been extensively studie...
02/26/2019 ∙ by Chaoyue He, et al. ∙ 0 ∙ share

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An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale

This paper conducts an empirical investigation to evaluate transfer lear...
04/19/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation

Interactive recommendation that models the explicit interactions between...
03/19/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment

Recent face reenactment studies have achieved remarkable success either ...
05/28/2019 ∙ by Jiangning Zhang, et al. ∙ 0 ∙ share

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Distributed Learning with Random Features

Distributed learning and random projections are the most common techniqu...
06/07/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning

While many visual ego-motion algorithm variants have been proposed in th...
06/19/2019 ∙ by Guangyao Zhai, et al. ∙ 0 ∙ share

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Recent Advances in Diversified Recommendation

With the rapid development of recommender systems, accuracy is no longer...
05/16/2019 ∙ by Qiong Wu, et al. ∙ 0 ∙ share

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Multi-Instance Multi-Scale CNN for Medical Image Classification

Deep learning for medical image classification faces three major challen...
07/04/2019 ∙ by Shaohua Li, et al. ∙ 0 ∙ share

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On the Fairness Performance of NOMA-based Wireless Powered Communication Networks

The near-far problem causes severe throughput unfairness in wireless pow...
06/01/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks

We propose an end to end deep learning approach for generating real-time...
05/27/2019 ∙ by Guanzhong Tian, et al. ∙ 0 ∙ share

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Bandit Learning for Diversified Interactive Recommendation

Interactive recommender systems that enable the interactions between use...
07/01/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection

Planning the path to gather the surface information of the target object...
08/08/2019 ∙ by Wei Jing, et al. ∙ 0 ∙ share

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Automated Spectral Kernel Learning

The generalization performance of kernel methods is largely determined b...
09/11/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Learning Vector-valued Functions with Local Rademacher Complexity

We consider a general family of problems of which the output space admit...
09/11/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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LIC-Fusion: LiDAR-Inertial-Camera Odometry

This paper presents a tightly-coupled multi-sensor fusion algorithm term...
09/09/2019 ∙ by Xingxing Zuo, et al. ∙ 0 ∙ share

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Weighted Distributed Differential Privacy ERM: Convex and Non-convex

Distributed machine learning is an approach allowing different parties t...
10/23/2019 ∙ by Yilin Kang, et al. ∙ 0 ∙ share

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Variational Quantum Circuits for Quantum State Tomography

We propose a hybrid quantum-classical algorithm for quantum state tomogr...
12/16/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints

While visual localization or SLAM has witnessed great progress in past d...
11/13/2019 ∙ by Xingxing Zuo, et al. ∙ 0 ∙ share

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Sub-optimal convergence of discontinuous Galerkin methods with central fluxes for even degree polynomial approximations

In this paper, we theoretically and numerically verify that the disconti...
01/12/2020 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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Optimizing Non-Orthogonal Multiple Access in Random Access Networks

Non-orthogonal multiple access (NOMA) has been considered as a promising...
02/14/2020 ∙ by Ziru Chen, et al. ∙ 0 ∙ share

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Input Perturbation: A New Paradigm between Central and Local Differential Privacy

Traditionally, there are two models on differential privacy: the central...
02/20/2020 ∙ by Yilin Kang, et al. ∙ 0 ∙ share

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Convolutional Spectral Kernel Learning

Recently, non-stationary spectral kernels have drawn much attention, owi...
02/28/2020 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Yong Liu

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