
Particle Competition and Cooperation for SemiSupervised Learning with Label Noise
Semisupervised learning methods are usually employed in the classificat...
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CodeBridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
In this paper, we propose CodeBridged Classifier (CBC), a framework for...
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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...
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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 ...
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Occlusion Aware Unsupervised Learning of Optical Flow
It has been recently shown that a convolutional neural network can learn...
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Unsupervised Learning of Geometry with Edgeaware DepthNormal Consistency
Learning to reconstruct depths in a single image by watching unlabeled v...
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A Generic Framework for Interesting Subspace Cluster Detection in Multiattributed Networks
Detection of interesting (e.g., coherent or anomalous) clusters has been...
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Online and Distributed Robust Regressions under Adversarial Data Corruption
In today's era of big data, robust leastsquares regression becomes a mo...
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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...
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Unsupervised Learning Layers for Video Analysis
This paper presents two unsupervised learning layers (UL layers) for lab...
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Network Unfolding Map by Edge Dynamics Modeling
The emergence of collective dynamics in neural networks is a mechanism o...
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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Recently low displacement rank (LDR) matrices, or socalled structured m...
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High Level Pattern Classification via Tourist Walks in Networks
Complex networks refer to largescale graphs with nontrivial connection ...
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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...
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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...
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Feature learning in featuresample networks using multiobjective optimization
Data and knowledge representation are fundamental concepts in machine le...
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MISSLAM: Realtime Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing
Realtime simultaneously localization and dense mapping is very helpful ...
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Learning to Explore with MetaPolicy Gradient
The performance of offpolicy learning, including deep Qlearning and de...
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On the Universal Approximation Property and Equivalence of Stochastic Computingbased Neural Networks and Binary Neural Networks
Largescale deep neural networks are both memory intensive and computati...
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Deep Graph Translation
Inspired by the tremendous success of deep generative models on generati...
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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...
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Distributed SelfPaced Learning in Alternating Direction Method of Multipliers
Selfpaced learning (SPL) mimics the cognitive process of humans, who ge...
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SourceCritical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language
To deploy a spoken language understanding (SLU) model to a new language,...
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Organ at Risk Segmentation in Head and Neck CT Images by Using a TwoStage Segmentation Framework Based on 3D UNet
Accurate segmentation of organ at risk (OAR) play a critical role in the...
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Parallax Bundle Adjustment on Manifold with Convexified Initialization
Bundle adjustment (BA) with parallax angle based feature parameterizatio...
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Deterministic Proof Of Work
Blockchains such as Bitcoin and Ethereum designed their consensus protoc...
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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...
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Interpretable Convolutional Filter Pruning
The sophisticated structure of Convolutional Neural Network (CNN) allows...
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WALLE: An Efficient Reinforcement Learning Research Framework
There are two halves to RL systems: experience collection time and polic...
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An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling
Schedulability is a fundamental problem in realtime scheduling, but it ...
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Robust Regression via Online Feature Selection under Adversarial Data Corruption
The presence of data corruption in usergenerated streaming data, such a...
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CircConv: A Structured Convolution with Low Complexity
Deep neural networks (DNNs), especially deep convolutional neural networ...
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Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Circuit obfuscation is a recently proposed defense mechanism to protect ...
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Learning Good Representation via Continuous Attention
In this paper we present our scientific discovery that good representati...
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Algorithms to compute the BurrowsWheeler Similarity Distribution
The BurrowsWheeler transform (BWT) is a well studied text transformatio...
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Global Fire Season Severity Analysis and Forecasting
Global fire activity has a huge impact on human lives. In recent years, ...
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Interpreting and Evaluating Neural Network Robustness
Recently, adversarial deception becomes one of the most considerable thr...
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ADMM for Efficient Deep Learning with Global Convergence
Alternating Direction Method of Multipliers (ADMM) has been used success...
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Machine LearningBased DelayAware UAV Detection and Operation Mode Identification over Encrypted WiFi Traffic
The consumer UAV (unmanned aerial vehicle) market has grown significantl...
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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...
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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...
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An observable time series based SLAM algorithm for deforming environment
In this paper, we study the backend of simultaneous localization and ma...
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CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Electronic health record is an important source for clinical researches ...
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DynGraph2Seq: DynamicGraphtoSequence Interpretable Learning for Health Stage Prediction in Online Health Forums
Online health communities such as the online breast cancer forum enable ...
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Multistage Deep Classifier Cascades for Open World Recognition
At present, object recognition studies are mostly conducted in a closed ...
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Compositional Generalization for Primitive Substitutions
Compositional generalization is a basic mechanism in human language lear...
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Existence of local minima of a minimal 2D posegraph SLAM problem
In this paper, we show that for a minimal posegraph problem, even in th...
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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Critical incident stages identification and reasonable prediction of tra...
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Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Analysis of largescale sequential data has been one of the most crucial...
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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...
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Liang Zhao
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Assistant Professor at Lehman College of The City University of New York