b'Liang Zhao'

Communication Efficiency in Federated Learning: Achievements and Challenges

Federated Learning (FL) is known to perform Machine Learning tasks in a ...
07/23/2021 ∙ by Osama Shahid, et al. ∙ 10 ∙ share

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Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks

During the past decade, deep learning's performance has been widely reco...
07/21/2021 ∙ by Zhiqian Chen, et al. ∙ 20 ∙ share

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An Inverse QSAR Method Based on Linear Regression and Integer Programming

Recently a novel framework has been proposed for designing the molecular...
07/06/2021 ∙ by Jianshen Zhu, et al. ∙ 6 ∙ share

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RefBERT: Compressing BERT by Referencing to Pre-computed Representations

Recently developed large pre-trained language models, e.g., BERT, have a...
06/11/2021 ∙ by Xinyi Wang, et al. ∙ 10 ∙ share

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Direct Simultaneous Multi-Image Registration

This paper presents a novel algorithm that registers a collection of mon...
05/21/2021 ∙ by Zhehua Mao, et al. ∙ 8 ∙ share

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Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework

The Graph Augmented Multi-layer Perceptron (GA-MLP) model is an attracti...
05/20/2021 ∙ by Junxiang Wang, et al. ∙ 9 ∙ share

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Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

Continual learning is considered a promising step towards next-generatio...
05/05/2021 ∙ by Yuyang Gao, et al. ∙ 10 ∙ share

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Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition

Handwriting recognition is of crucial importance to both Human Computer ...
03/17/2021 ∙ by Boxiang Dong, et al. ∙ 7 ∙ share

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Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss

Cyber attacks pose crucial threats to computer system security, and put ...
03/17/2021 ∙ by Boxiang Dong, et al. ∙ 10 ∙ share

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Sign-regularized Multi-task Learning

Multi-task learning is a framework that enforces different learning task...
02/22/2021 ∙ by Johnny Torres, et al. ∙ 8 ∙ share

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GP: Context-free Grammar Pre-training for Text-to-SQL Parsers

A new method for Text-to-SQL parsing, Grammar Pre-training (GP), is prop...
01/25/2021 ∙ by Liang Zhao, et al. ∙ 7 ∙ share

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FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis

Android is currently the most extensively used smartphone platform in th...
01/11/2021 ∙ by Wenhao fan, et al. ∙ 0 ∙ share

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Study On Coding Tools Beyond Av1

The Alliance for Open Media has recently initiated coding tool explorati...
12/25/2020 ∙ by Xin Zhao, et al. ∙ 0 ∙ share

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Online Decision Trees with Fairness

While artificial intelligence (AI)-based decision-making systems are inc...
10/15/2020 ∙ by Wenbin Zhang, et al. ∙ 9 ∙ share

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Disentangled Dynamic Graph Deep Generation

Deep generative models for graphs have exhibited promising performance i...
10/14/2020 ∙ by Wenbin Zhang, et al. ∙ 6 ∙ share

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FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data

Federated learning (FL) involves training a model over massive distribut...
10/12/2020 ∙ by Zheng Chai, et al. ∙ 8 ∙ share

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A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions

High-level classification algorithms focus on the interactions between i...
09/28/2020 ∙ by Esteban Wilfredo Vilca Zuñiga, et al. ∙ 3 ∙ share

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Graph-based Multi-hop Reasoning for Long Text Generation

Long text generation is an important but challenging task.The main probl...
09/28/2020 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming

Analysis of chemical graphs is a major research topic in computational m...
09/21/2020 ∙ by Naveed Ahmed Azam, et al. ∙ 0 ∙ share

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Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints

Trajectory data generation is an important domain that characterizes the...
09/20/2020 ∙ by Liming Zhang, et al. ∙ 13 ∙ share

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A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality

Data classification is a major machine learning paradigm, which has been...
09/16/2020 ∙ by Esteban Vilca, et al. ∙ 21 ∙ share

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Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training

Alternating minimization methods have recently been proposed as alternat...
09/09/2020 ∙ by Junxiang Wang, et al. ∙ 2 ∙ share

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Event Prediction in the Big Data Era: A Systematic Survey

Events are occurrences in specific locations, time, and semantics that n...
07/19/2020 ∙ by Liang Zhao, et al. ∙ 18 ∙ share

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A Systematic Survey on Deep Generative Models for Graph Generation

Graphs are important data representations for describing objects and the...
07/13/2020 ∙ by Xiaojie Guo, et al. ∙ 13 ∙ share

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Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement

Disentangled representation learning has recently attracted a significan...
06/09/2020 ∙ by Xiaojie Guo, et al. ∙ 19 ∙ share

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TG-GAN: Deep Generative Models for Continuously-time Temporal Graph Generation

Recently deep generative models for static networks have been under acti...
05/17/2020 ∙ by Liming Zhang, et al. ∙ 8 ∙ share

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Chronnet: a network-based model for spatiotemporal data analysis

The amount and size of spatiotemporal data sets from different domains h...
04/23/2020 ∙ by Leonardo N. Ferreira, et al. ∙ 2 ∙ share

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Evolution Features and Behavior Characters of Friendship Networks on Campus Life

Analyzing and mining students' behaviors and interactions from big data ...
04/14/2020 ∙ by Zongkai Yang, et al. ∙ 0 ∙ share

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Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder

Much scientific enquiry across disciplines is founded upon a mechanistic...
04/08/2020 ∙ by Xiaojie Guo, et al. ∙ 6 ∙ share

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Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery

In minimal invasive surgery, it is important to rebuild and visualize th...
03/22/2020 ∙ by Jingwei Song, et al. ∙ 4 ∙ share

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Deep Multi-attributed Graph Translation with Node-Edge Co-evolution

Generalized from image and language translation, graph translation aims ...
03/22/2020 ∙ by Xiaojie Guo, et al. ∙ 6 ∙ share

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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

The success of deep learning has been widely recognized in many machine ...
02/27/2020 ∙ by Zhiqian Chen, et al. ∙ 125 ∙ share

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Efficient model-based Bioequivalence Testing

The classical approach to analyze pharmacokinetic (PK) data in bioequiva...
02/21/2020 ∙ by Kathrin Möllenhoff, et al. ∙ 0 ∙ 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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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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Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques

We report an object tracking algorithm that combines geometrical constra...
12/12/2019 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Learning to Recommend via Meta Parameter Partition

In this paper we propose to solve an important problem in recommendation...
12/04/2019 ∙ by Liang Zhao, 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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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. ∙ 1 ∙ share

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Analysis of minima for geodesic and chordal cost for 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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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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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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BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Deep neural networks (DNNs) are known for extracting good representation...
09/27/2019 ∙ 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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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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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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Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design

The emergence of High-Level Synthesis (HLS) tools shifted the paradigm o...
07/29/2019 ∙ by Hosein Mohammadi Makrani, 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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Liang Zhao

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