
Graph Embedding for Recommendation against Attribute Inference Attacks
In recent years, recommender systems play a pivotal role in helping user...
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Combat Data Shift in Fewshot Learning with Knowledge Graph
Many fewshot learning approaches have been designed under the metalear...
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Does Head Label Help for LongTailed MultiLabel Text Classification
Multilabel text classification (MLTC) aims to annotate documents with t...
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SelfSupervised MultiChannel Hypergraph Convolutional Network for Social Recommendation
Social relations are often used to improve recommendation quality when u...
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FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...
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Characterizing the Evasion Attackability of Multilabel Classifiers
Evasion attack in multilabel learning systems is an interesting, widely...
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SelfSupervised Hypergraph Convolutional Networks for Sessionbased Recommendation
Sessionbased recommendation (SBR) focuses on nextitem prediction at a ...
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ASAD: A Twitterbased Benchmark Arabic Sentiment Analysis Dataset
This paper provides a detailed description of a new Twitterbased benchm...
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Multityped Objects Multiview Multiinstance Multilabel Learning
Multityped objects Multiview Multiinstance Multilabel Learning (M4L)...
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Temporal Positiveunlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Understanding the relationships between biomedical terms like viruses, d...
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Deep Incomplete MultiView Multiple Clusterings
Multiview clustering aims at exploiting information from multiple heter...
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Selfsupervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
In this paper, we propose a novel stochastic gradient estimator—ProbAbil...
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Graph Factorization Machines for CrossDomain Recommendation
Recently, graph neural networks (GNNs) have been successfully applied to...
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SenWave: Monitoring the Global Sentiments under the COVID19 Pandemic
Since the first alert launched by the World Health Organization (5 Janua...
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Addressing ClassImbalance Problem in Personalized Ranking
Pairwise ranking models have been widely used to address recommendation ...
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Efficient longdistance relation extraction with DGSpanBERT
In natural language processing, relation extraction seeks to rationally ...
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AttentionAware Answers of the Crowd
Crowdsourcing is a relatively economic and efficient solution to collect...
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MultiView Multiple Clusterings using Deep Matrix Factorization
Multiview clustering aims at integrating complementary information from...
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Prototypical Networks for MultiLabel Learning
We propose to address multilabel learning by jointly estimating the dis...
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Active MultiLabel Crowd Consensus
Crowdsourcing is an economic and efficient strategy aimed at collecting ...
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Recurrent Attention Walk for Semisupervised Classification
In this paper, we study the graphbased semisupervised learning for cla...
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Collaborative Graph Walk for Semisupervised MultiLabel Node Classification
In this work, we study semisupervised multilabel node classification p...
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PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions
Graph node embedding aims at learning a vector representation for all no...
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Crossmodal Zeroshot Hashing
Hashing has been widely studied for big data retrieval due to its low st...
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Weaklypaired CrossModal Hashing
Hashing has been widely adopted for largescale data retrieval in many d...
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ActiveHNE: Active Heterogeneous Network Embedding
Heterogeneous network embedding (HNE) is a challenging task due to the d...
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MultiView Multiple Clustering
Multiple clustering aims at exploring alternative clusterings to organiz...
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Robust Federated Training via Collaborative Machine Teaching using Trusted Instances
Federated learning performs distributed model training using local data ...
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Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data
This paper carries out a large dimensional analysis of a variation of ke...
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Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time
Online monitoring user cardinalities (or degrees) in graph streams is fu...
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Submodular Optimization Over Streams with Inhomogeneous Decays
Cardinality constrained submodular function maximization, which aims to ...
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GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Graph embedding is a central problem in social network analysis and many...
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Graph Embedding with Rich Information through Bipartite Heterogeneous Network
Graph embedding has attracted increasing attention due to its critical a...
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Scaling Analysis of Affinity Propagation
We analyze and exploit some scaling properties of the Affinity Propagati...
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Xiangliang Zhang
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