Liang Zhao

Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise

Semi-supervised learning methods are usually employed in the classificat...
02/12/2020 ∙ by Fabricio Aparecido Breve, et al. ∙ 14 ∙ share

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Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks

In this paper, we propose Code-Bridged Classifier (CBC), a framework for...
01/16/2020 ∙ by Farnaz Behnia, et al. ∙ 12 ∙ share

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Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection

Object selection refers to the mechanism of extracting objects of intere...
02/13/2020 ∙ by Fabricio A Breve, et al. ∙ 9 ∙ share

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Efficient two step optimization for large embedded deformation graph based SLAM

Embedded deformation nodes based formulation has been widely applied in ...
06/20/2019 ∙ by Jingwei Song, et al. ∙ 3 ∙ share

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Occlusion Aware Unsupervised Learning of Optical Flow

It has been recently shown that a convolutional neural network can learn...
11/16/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

Learning to reconstruct depths in a single image by watching unlabeled v...
11/10/2017 ∙ by Zhenheng Yang, et al. ∙ 0 ∙ share

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A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks

Detection of interesting (e.g., coherent or anomalous) clusters has been...
09/15/2017 ∙ by Feng Chen, et al. ∙ 0 ∙ share

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Online and Distributed Robust Regressions under Adversarial Data Corruption

In today's era of big data, robust least-squares regression becomes a mo...
10/02/2017 ∙ by Xuchao Zhang, et al. ∙ 0 ∙ share

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Spatial Neural Networks and their Functional Samples: Similarities and Differences

Models of neural networks have proven their utility in the development o...
05/03/2014 ∙ by Lucas Antiqueira, et al. ∙ 0 ∙ share

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Unsupervised Learning Layers for Video Analysis

This paper presents two unsupervised learning layers (UL layers) for lab...
05/24/2017 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Network Unfolding Map by Edge Dynamics Modeling

The emergence of collective dynamics in neural networks is a mechanism o...
03/03/2016 ∙ by Filipe Alves Neto Verri, et al. ∙ 0 ∙ share

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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank

Recently low displacement rank (LDR) matrices, or so-called structured m...
03/01/2017 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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High Level Pattern Classification via Tourist Walks in Networks

Complex networks refer to large-scale graphs with nontrivial connection ...
05/07/2013 ∙ by Thiago Christiano Silva, et al. ∙ 0 ∙ share

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Time Series Clustering via Community Detection in Networks

In this paper, we propose a technique for time series clustering using c...
08/19/2015 ∙ by Leonardo N. Ferreira, et al. ∙ 0 ∙ share

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A feasible roadmap for developing volumetric probability atlas of localized prostate cancer

A statistical volumetric model, showing the probability map of localized...
09/15/2014 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Feature learning in feature-sample networks using multi-objective optimization

Data and knowledge representation are fundamental concepts in machine le...
10/25/2017 ∙ by Filipe Alves Neto Verri, et al. ∙ 0 ∙ share

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MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing

Real-time simultaneously localization and dense mapping is very helpful ...
03/06/2018 ∙ by Jingwei Song, et al. ∙ 0 ∙ share

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Learning to Explore with Meta-Policy Gradient

The performance of off-policy learning, including deep Q-learning and de...
03/13/2018 ∙ by Tianbing Xu, et al. ∙ 0 ∙ share

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On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks

Large-scale deep neural networks are both memory intensive and computati...
03/14/2018 ∙ by Yanzhi Wang, et al. ∙ 0 ∙ share

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Deep Graph Translation

Inspired by the tremendous success of deep generative models on generati...
05/25/2018 ∙ by Xiaojie Guo, et al. ∙ 0 ∙ share

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Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks

We proposed a modified regularized dual averaging method for training sp...
07/11/2018 ∙ by Xiaodong Jia, et al. ∙ 0 ∙ share

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Distributed Self-Paced Learning in Alternating Direction Method of Multipliers

Self-paced learning (SPL) mimics the cognitive process of humans, who ge...
07/06/2018 ∙ by Xuchao Zhang, et al. ∙ 0 ∙ share

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Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language

To deploy a spoken language understanding (SLU) model to a new language,...
08/19/2018 ∙ by He Bai, et al. ∙ 0 ∙ share

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Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net

Accurate segmentation of organ at risk (OAR) play a critical role in the...
08/25/2018 ∙ by Yueyue Wang, et al. ∙ 0 ∙ share

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Parallax Bundle Adjustment on Manifold with Convexified Initialization

Bundle adjustment (BA) with parallax angle based feature parameterizatio...
07/10/2018 ∙ by Liyang Liu, et al. ∙ 0 ∙ share

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Deterministic Proof Of Work

Blockchains such as Bitcoin and Ethereum designed their consensus protoc...
08/13/2018 ∙ by Zhuan Cheng, et al. ∙ 0 ∙ share

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Linear SLAM: Linearising the SLAM Problems using Submap Joining

The main contribution of this paper is a new submap joining based approa...
09/18/2018 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Interpretable Convolutional Filter Pruning

The sophisticated structure of Convolutional Neural Network (CNN) allows...
10/12/2018 ∙ by Zhuwei Qin, et al. ∙ 0 ∙ share

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WALL-E: An Efficient Reinforcement Learning Research Framework

There are two halves to RL systems: experience collection time and polic...
01/18/2019 ∙ by Tianbing Xu, et al. ∙ 0 ∙ share

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An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling

Schedulability is a fundamental problem in real-time scheduling, but it ...
07/20/2018 ∙ by Xin Han, et al. ∙ 0 ∙ share

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Robust Regression via Online Feature Selection under Adversarial Data Corruption

The presence of data corruption in user-generated streaming data, such a...
02/05/2019 ∙ by Xuchao Zhang, et al. ∙ 0 ∙ share

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CircConv: A Structured Convolution with Low Complexity

Deep neural networks (DNNs), especially deep convolutional neural networ...
02/28/2019 ∙ by Siyu Liao, et al. ∙ 0 ∙ share

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Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning

Circuit obfuscation is a recently proposed defense mechanism to protect ...
02/14/2019 ∙ by Zhiqian Chen, et al. ∙ 0 ∙ share

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Learning Good Representation via Continuous Attention

In this paper we present our scientific discovery that good representati...
03/29/2019 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Algorithms to compute the Burrows-Wheeler Similarity Distribution

The Burrows-Wheeler transform (BWT) is a well studied text transformatio...
03/25/2019 ∙ by Felipe A. Louza, et al. ∙ 0 ∙ share

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Global Fire Season Severity Analysis and Forecasting

Global fire activity has a huge impact on human lives. In recent years, ...
03/11/2019 ∙ by Leonardo N. Ferreira, et al. ∙ 0 ∙ share

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Interpreting and Evaluating Neural Network Robustness

Recently, adversarial deception becomes one of the most considerable thr...
05/10/2019 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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ADMM for Efficient Deep Learning with Global Convergence

Alternating Direction Method of Multipliers (ADMM) has been used success...
05/31/2019 ∙ by Junxiang Wang, et al. ∙ 0 ∙ share

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Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic

The consumer UAV (unmanned aerial vehicle) market has grown significantl...
05/15/2019 ∙ by Amir Alipour-Fanid, et al. ∙ 0 ∙ share

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Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling

Low Rank Approximation (LRA) of a matrix is a hot research subject, fund...
06/11/2019 ∙ by Victor Y. Pan, et al. ∙ 0 ∙ share

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Counting Roots of a Polynomial in a Convex Compact Region by Means of Winding Number Calculation via Sampling

In this paper, we propose a novel efficient algorithm for calculating wi...
06/26/2019 ∙ by Vitaly Zaderman, et al. ∙ 0 ∙ share

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An observable time series based SLAM algorithm for deforming environment

In this paper, we study the back-end of simultaneous localization and ma...
06/20/2019 ∙ by Jingwei Song, et al. ∙ 0 ∙ share

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CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

Electronic health record is an important source for clinical researches ...
08/20/2019 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Online health communities such as the online breast cancer forum enable ...
08/22/2019 ∙ by Yuyang Gao, et al. ∙ 0 ∙ share

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Multi-stage Deep Classifier Cascades for Open World Recognition

At present, object recognition studies are mostly conducted in a closed ...
08/26/2019 ∙ by Xiaojie Guo, et al. ∙ 0 ∙ share

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Compositional Generalization for Primitive Substitutions

Compositional generalization is a basic mechanism in human language lear...
10/07/2019 ∙ by Yuanpeng Li, et al. ∙ 0 ∙ share

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Existence of local minima of a minimal 2D pose-graph SLAM problem

In this paper, we show that for a minimal pose-graph problem, even in th...
11/13/2019 ∙ by Felix H. Kong, et al. ∙ 0 ∙ share

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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction

Critical incident stages identification and reasonable prediction of tra...
11/20/2019 ∙ by Kaiqun Fu, et al. ∙ 0 ∙ share

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Efficient Global String Kernel with Random Features: Beyond Counting Substructures

Analysis of large-scale sequential data has been one of the most crucial...
11/25/2019 ∙ by Lingfei Wu, et al. ∙ 0 ∙ share

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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Graph kernels are widely used for measuring the similarity between graph...
11/25/2019 ∙ by Lingfei Wu, et al. ∙ 0 ∙ share

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Liang Zhao

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