Xiaofeng Zhang

Orcid: 0000-0003-0972-8842

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
  • Hong Kong Baptist University, Hong Kong (PhD 2008)


According to our database1, Xiaofeng Zhang authored at least 46 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2021
A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation.
Remote. Sens., 2021

Wasserstein autoencoders for collaborative filtering.
Neural Comput. Appl., 2021

A hybrid deep generative neural model for financial report generation.
Knowl. Based Syst., 2021

2020
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification.
Remote. Sens., 2020

McDPC: multi-center density peak clustering.
Neural Comput. Appl., 2020

A probabilistic approach towards an unbiased semi-supervised cluster tree.
Knowl. Based Syst., 2020

A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness.
Inf. Sci., 2020

Generating Financial Reports from Macro News via Multiple Edits Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Session-Based Recommendation with Graph Neural Networks for Repeat Consumption.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

Structure Matters: Towards Generating Transferable Adversarial Images.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net.
IEEE Trans. Geosci. Remote. Sens., 2019

CPU versus GPU: which can perform matrix computation faster - performance comparison for basic linear algebra subprograms.
Neural Comput. Appl., 2019

REDPC: A residual error-based density peak clustering algorithm.
Neurocomputing, 2019

Road Detection via Deep Residual Dense U-Net.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Hyperspectral Image Classification With Deep Learning Models.
IEEE Trans. Geosci. Remote. Sens., 2018

STEM: a suffix tree-based method for web data records extraction.
Knowl. Inf. Syst., 2018

Enhancing social network privacy with accumulated non-zero prior knowledge.
Inf. Sci., 2018

An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings.
Neurocomputing, 2018

2017
Towards well-specified semi-supervised model-based classifiers via structural adaptation.
CoRR, 2017

Forecast customer flow using long short-term memory networks.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016
Mining from distributed and abstracted data.
WIREs Data Mining Knowl. Discov., 2016

Visual tracking via exemplar regression model.
Knowl. Based Syst., 2016

Effective Approach to Extract Road Map from Unmanned Aerial Vehicle Videos.
Proceedings of the 9th International Conference on Service Science, 2016

Protecting Link Privacy for Large Correlated Social Networks.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

2015
A robust local sparse tracker with global consistency constraint.
Signal Process., 2015

The Author-Topic-Community model for author interest profiling and community discovery.
Knowl. Inf. Syst., 2015

Weakly Supervised Object Class Learning Via Discriminative Subspace Models.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

MLRF: Multi-label Classification Through Random Forest with Label-Set Partition.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
An efficient and practical calibration method for roadside camera using two vanishing points.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

A Lexicon-Based Multi-class Semantic Orientation Analysis for Microblogs.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

Clustering Based Topic Events Detection on Text Stream.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2012
The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Learning latent variable models from distributed and abstracted data.
Inf. Sci., 2011

2010
A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain.
Int. J. Appl. Logist., 2010

2007
A Game Theoretic Approach to Active Distributed Data Mining.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

2006
Service-Oriented Distributed Data Mining.
IEEE Internet Comput., 2006

A Privacy-Aware Service-oriented Platform for Distributed Data Mining.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Graph-Based Abstraction for Privacy Preserving Manifold Visualization.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005
Learning Global Models Based on Distributed Data Abstractions.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Visualizing Global Manifold Based on Distributed Local Data Abstractions.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Mining Local Data Sources For Learning Global Cluster Models Via Model Exchange.
IEEE Intell. Informatics Bull., 2004

Mining Local Data Sources For Learning Global Cluster Models.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004


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