Xiangliang Zhang

According to our database1, Xiangliang Zhang authored at least 188 papers between 2004 and 2021.

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Bibliography

2021
Active Multilabel Crowd Consensus.
IEEE Trans. Neural Networks Learn. Syst., 2021

CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks.
ACM Trans. Knowl. Discov. Data, 2021

Individuality- and Commonality-Based Multiview Multilabel Learning.
IEEE Trans. Cybern., 2021

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling.
CoRR, 2021

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
CoRR, 2021

Fast-adapting and Privacy-preserving Federated Recommender System.
CoRR, 2021

Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation.
CoRR, 2021

Graph Embedding for Recommendation against Attribute Inference Attacks.
CoRR, 2021

Combat Data Shift in Few-shot Learning with Knowledge Graph.
CoRR, 2021

Does Head Label Help for Long-Tailed Multi-Label Text Classification.
CoRR, 2021

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
CoRR, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
CoRR, 2021

Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways.
Briefings Bioinform., 2021

2020
Gaussian mixture embedding of multiple node roles in networks.
World Wide Web, 2020

Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data.
IEEE Trans. Signal Process., 2020

CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst., 2020

Jointly Learning Representations of Nodes and Attributes for Attributed Networks.
ACM Trans. Inf. Syst., 2020

Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem.
IEEE Trans. Mob. Comput., 2020

Air Writing via Receiver Array-Based Ultrasonic Source Localization.
IEEE Trans. Instrum. Meas., 2020

Multi-label zero-shot learning with graph convolutional networks.
Neural Networks, 2020

GraPASA: Parametric graph embedding via siamese architecture.
Inf. Sci., 2020

Attributed heterogeneous network fusion via collaborative matrix tri-factorization.
Inf. Fusion, 2020

Guest Editorial: Special issue on "Application of artificial intelligence in health research".
Health Inf. Sci. Syst., 2020

Personalized Geographical Influence Modeling for POI Recommendation.
IEEE Intell. Syst., 2020

Characterizing the Evasion Attackability of Multi-label Classifiers.
CoRR, 2020

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
CoRR, 2020

ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset.
CoRR, 2020

Self-supervised Smoothing Graph Neural Networks.
CoRR, 2020

PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization.
CoRR, 2020

Graph Factorization Machines for Cross-Domain Recommendation.
CoRR, 2020

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic.
CoRR, 2020

Addressing Class-Imbalance Problem in Personalized Ranking.
CoRR, 2020

Efficient long-distance relation extraction with DG-SpanBERT.
CoRR, 2020

Predicting functions of maize proteins using graph convolutional network.
BMC Bioinform., 2020

Differentiating isoform functions with collaborative matrix factorization.
Bioinform., 2020

Recurrent Attention Walk for Semi-supervised Classification.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment.
Proceedings of the Semantic Web - ISWC 2020, 2020

Attention-Aware Answers of the Crowd.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-modal Network Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Attackability Characterization of Adversarial Evasion Attack on Discrete Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Isoform-Disease Association Prediction by Data Fusion.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020

Weakly-Supervised Multi-view Multi-instance Multi-label Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Partial Multi-label Learning using Label Compression.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Multi-typed Objects Multi-view Multi-instance Multi-label Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Incomplete Multi-View Multiple Clusterings.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Decentralized Embedding Framework for Large-Scale Networks.
Proceedings of the Database Systems for Advanced Applications, 2020

Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Multi-View Multiple Clusterings Using Deep Matrix Factorization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Robust Federated Learning via Collaborative Machine Teaching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A novel hybrid publication recommendation system using compound information.
World Wide Web, 2019

Protecting multi-party privacy in location-aware social point-of-interest recommendation.
World Wide Web, 2019

SNOD: a fast sampling method of exploring node orbit degrees for large graphs.
Knowl. Inf. Syst., 2019

Prototypical Networks for Multi-Label Learning.
CoRR, 2019

Active Multi-Label Crowd Consensus.
CoRR, 2019

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
CoRR, 2019

Weakly-paired Cross-Modal Hashing.
CoRR, 2019

Robust Federated Training via Collaborative Machine Teaching using Trusted Instances.
CoRR, 2019

Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions.
IEEE Access, 2019

STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection.
IEEE Access, 2019

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing.
IEEE Access, 2019

Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference.
Proceedings of the World Wide Web Conference, 2019

Co-Embedding Attributed Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A Novel Framework for Node/Edge Attributed Graph Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-View Multiple Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Cross-lingual Entity Alignment via Optimal Transport.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ActiveHNE: Active Heterogeneous Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-Modal Zero-Shot Hashing.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Dataset Recommendation via Variational Graph Autoencoder.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2019

Selective Matrix Factorization for Multi-relational Data Fusion.
Proceedings of the Database Systems for Advanced Applications, 2019

In2Rec: Influence-based Interpretable Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Submodular Optimization over Streams with Inhomogeneous Decays.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Order Attentive Ranking Model for Sequential Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discovering and understanding android sensor usage behaviors with data flow analysis.
World Wide Web, 2018

Special issue: Mobile web data analytics (part II).
Web Intell., 2018

Special issue: Mobile Web Data Analytics (part I).
Web Intell., 2018

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs.
IEEE Trans. Knowl. Data Eng., 2018

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles.
IEEE Trans. Intell. Transp. Syst., 2018

Transfer collaborative filtering from multiple sources via consensus regularization.
Neural Networks, 2018

Abstracting massive data for lightweight intrusion detection in computer networks.
Inf. Sci., 2018

Exploiting reject option in classification for social discrimination control.
Inf. Sci., 2018

A scalable community detection algorithm for large graphs using stochastic block models.
Intell. Data Anal., 2018

Efficient evaluation of shortest travel-time path queries through spatial mashups.
GeoInformatica, 2018

Efficient task assignment in spatial crowdsourcing with worker and task privacy protection.
GeoInformatica, 2018

Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers.
Future Gener. Comput. Syst., 2018

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.
CoRR, 2018

DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features.
IEEE Access, 2018

A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation.
IEEE Access, 2018

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Randomizing SVM Against Adversarial Attacks Under Uncertainty.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Dynamic Embeddings for User Profiling in Twitter.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-label Learning with Highly Incomplete Data via Collaborative Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Mining Streaming and Temporal Data: from Representation to Knowledge.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

KDE-Track: An Efficient Dynamic Density Estimator for Data Streams (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction.
Proceedings of the IEEE International Conference on Big Data, 2018

Mining top-k Popular Datasets via a Deep Generative Model.
Proceedings of the IEEE International Conference on Big Data, 2018

WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An effective suggestion method for keyword search of databases.
World Wide Web, 2017

KDE-Track: An Efficient Dynamic Density Estimator for Data Streams.
IEEE Trans. Knowl. Data Eng., 2017

The Interaction Between Schema Matching and Record Matching in Data Integration.
IEEE Trans. Knowl. Data Eng., 2017

Delve: A Dataset-Driven Scholarly Search and Analysis System.
SIGKDD Explor., 2017

Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage.
Proc. VLDB Endow., 2017

Privacy-Preserving Task Assignment in Spatial Crowdsourcing.
J. Comput. Sci. Technol., 2017

Web-ADARE: A web-aided data repairing system.
Neurocomputing, 2017

Characterizing Android apps' behavior for effective detection of malapps at large scale.
Future Gener. Comput. Syst., 2017

An up-to-date comparison of state-of-the-art classification algorithms.
Expert Syst. Appl., 2017

Graph Embedding with Rich Information through Bipartite Heterogeneous Network.
CoRR, 2017

Coarse Grained Exponential Variational Autoencoders.
CoRR, 2017

ESearch: Incorporating Text Corpus and Structured Knowledge for Open Domain Entity Search.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Collaborative User Network Embedding for Social Recommender Systems.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Delve: A Data Set Retrieval and Document Analysis System.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Modeling Temporal Behavior of Awards Effect on Viewership of Movies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System.
Proceedings of the Database Systems for Advanced Applications, 2017

ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation.
Proceedings of the 2017 IEEE International Conference on Big Data, 2017

Marmite: Spreading Malicious File Reputation Through Download Graphs.
Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016
Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption.
IEEE Trans. Knowl. Data Eng., 2016

Large margin classification with indefinite similarities.
Mach. Learn., 2016

Modeling and predicting AD progression by regression analysis of sequential clinical data.
Neurocomputing, 2016

A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs.
CoRR, 2016

Detecting Anomaly in Traffic Flow from Road Similarity Analysis.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method.
Proceedings of the Database Systems for Advanced Applications, 2016

Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach.
IEEE Trans. Knowl. Data Eng., 2015

Addressing Instance Ambiguity in Web Harvesting.
Proceedings of the 18th International Workshop on Web and Databases, 2015

A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Efficient Active Learning of Halfspaces via Query Synthesis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Maximum error-bounded Piecewise Linear Representation for online stream approximation.
VLDB J., 2014

Data Stream Clustering With Affinity Propagation.
IEEE Trans. Knowl. Data Eng., 2014

Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection.
IEEE Trans. Inf. Forensics Secur., 2014

Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks.
Knowl. Based Syst., 2014

Exploring the significance of human mobility patterns in social link prediction.
Proceedings of the Symposium on Applied Computing, 2014

Anti-discrimination Analysis Using Privacy Attack Strategies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

TideWatch: Fingerprinting the cyclicality of big data workloads.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Overcoming Semantic Drift in Information Extraction.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

A New Study of Two Divergence Metrics for Change Detection in Data Streams.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Cost Reduction for Web-Based Data Imputation.
Proceedings of the Database Systems for Advanced Applications, 2014

Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Support vector machines with indefinite kernels.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Foreword to the Special Focus on Mathematics, Data and Knowledge.
Math. Comput. Sci., 2013

Securing Recommender Systems Against Shilling Attacks Using Social-Based Clustering.
J. Comput. Sci. Technol., 2013

Video Quality Prediction over Wireless 4G.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Controlling Attribute Effect in Linear Regression.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Local correlation detection with linearity enhancement in streaming data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Understanding and analyzing network traffic.
IEEE Netw., 2012

Modeling and Clustering Users with Evolving Profiles in Usage Streams.
Proceedings of the 19th International Symposium on Temporal Representation and Reasoning, 2012

Virtual machine migration in an over-committed cloud.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

Discovering Highly Informative Feature Set over High Dimensions.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

A direction Change-based algorithm for polygonal approximation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multiplicative Algorithms for Constrained Non-negative Matrix Factorization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Decision Theory for Discrimination-Aware Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Efficient estimation of dynamic density functions with an application to outlier detection.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Mouse-Trajectory Based Model for Predicting Query-URL Relevance.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Network traffic monitoring, analysis and anomaly detection [Guest Editorial].
IEEE Netw., 2011

High-speed web attack detection through extracting exemplars from HTTP traffic.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information.
Proceedings of the Trust Management V, 5th IFIP WG 11.11 International Conference, 2011

Analysis and Modeling of Social Influence in High Performance Computing Workloads.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2010
Abstracting Audit Data for Lightweight Intrusion Detection.
Proceedings of the Information Systems Security - 6th International Conference, 2010

K-AP: Generating Specified K Clusters by Efficient Affinity Propagation.
Proceedings of the ICDM 2010, 2010

Adaptively detecting changes in Autonomic Grid Computing.
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010

Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Constructing attribute weights from computer audit data for effective intrusion detection.
J. Syst. Softw., 2009

Fast intrusion detection based on a non-negative matrix factorization model.
J. Netw. Comput. Appl., 2009

Scaling Analysis of Affinity Propagation
CoRR, 2009

Toward autonomic grids: analyzing the job flow with affinity streaming.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Attribute Normalization in Network Intrusion Detection.
Proceedings of the 10th International Symposium on Pervasive Systems, 2009

Multi-scale Real-Time Grid Monitoring with Job Stream Mining.
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009

2008
Processing of massive audit data streams for real-time anomaly intrusion detection.
Comput. Commun., 2008

Distributed and Incremental Clustering Based on Weighted Affinity Propagation.
Proceedings of the STAIRS 2008, 2008

Data Streaming with Affinity Propagation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data.
Comput. Secur., 2006

2004
A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security.
Proceedings of the Advances in Neural Networks, 2004


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