Xiaofeng Zhang

According to our database, Xiaofeng Zhang authored at least 59 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs.

Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang

IEEE Trans. Knowl. Data Eng., December, 2023

VDPC: Variational density peak clustering algorithm.

Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek

Inf. Sci., April, 2023

When Convolutional Network Meets Temporal Heterogeneous Graphs: An Effective Community Detection Method.

Yaping Zheng, Xiaofeng Zhang, Shiyi Chen, Xinni Zhang, Xiaofei Yang, Di Wang

IEEE Trans. Knowl. Data Eng., 2023

2022

Efficient Reachability Query with Extreme Labeling Filter.

Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

CP-GNN: A Software for Community Detection in Heterogeneous Information Networks.

Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang

Softw. Impacts, 2021

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation.

Chuyao Luo, Xutao Li, Yongliang Wen, Yunming Ye, Xiaofeng Zhang

Remote. Sens., 2021

Wasserstein autoencoders for collaborative filtering.

Xiaofeng Zhang, Jingbin Zhong, Kai Liu

Neural Comput. Appl., 2021

A hybrid deep generative neural model for financial report generation.

Yunpeng Ren, Wenxin Hu, Ziao Wang, Xiaofeng Zhang, Yiyuan Wang, Xuan Wang

Knowl. Based Syst., 2021

Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.

Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification.

Xiaofei Yang, Xiaofeng Zhang, Yunming Ye, Raymond Y. K. Lau, Shijian Lu, Xutao Li, Xiaohui Huang

Remote. Sens., 2020

McDPC: multi-center density peak clustering.

Yizhang Wang, Di Wang, Xiaofeng Zhang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou

Neural Comput. Appl., 2020

A probabilistic approach towards an unbiased semi-supervised cluster tree.

Zhaocai Sun, Xiaofeng Zhang, Yunming Ye, Xiaowen Chu, Zhi Liu

Knowl. Based Syst., 2020

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

Xiaofeng Zhang, Huijie Liu, Xiaoyun Chen, Jingbin Zhong, Di Wang

Inf. Sci., 2020

RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating.

Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu

CoRR, 2020

Generating Financial Reports from Macro News via Multiple Edits Neural Networks.

Wenxin Hu, Xiaofeng Zhang, Yunpeng Ren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating.

Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, Xiaofeng Zhang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Session-Based Recommendation with Graph Neural Networks for Repeat Consumption.

Gang Yang, Xiaofeng Zhang, Yueping Li

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.

Dan Peng, Zizhan Zheng, Linhao Luo, Xiaofeng Zhang

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.

Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang

IEEE Trans. Geosci. Remote. Sens., 2019

CPU versus GPU: which can perform matrix computation faster - performance comparison for basic linear algebra subprograms.

Feng Li, Yunming Ye, Zhaoyang Tian, Xiaofeng Zhang

Neural Comput. Appl., 2019

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

Milan Deepak Parmar, Di Wang, Xiaofeng Zhang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, You Zhou

Neurocomputing, 2019

Heterogeneous Graph Convolutional Networks for Temporal Community Detection.

Yaping Zheng, Shiyi Chen, Xiaofeng Zhang, Di Wang

CoRR, 2019

Road Detection via Deep Residual Dense U-Net.

Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019

Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks.

Xin Ju, Xiaofeng Zhang, William K. Cheung

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models.

Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Hyperspectral Image Classification With Deep Learning Models.

Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang

IEEE Trans. Geosci. Remote. Sens., 2018

STEM: a suffix tree-based method for web data records extraction.

Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang

Knowl. Inf. Syst., 2018

Enhancing social network privacy with accumulated non-zero prior knowledge.

Yue Wang, Lin Yang, Xiaoyun Chen, Xiaofeng Zhang, Zhenyu He

Inf. Sci., 2018

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

Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou

Neurocomputing, 2018

2017

Learning Discriminative Subspace Models for Weakly Supervised Face Detection.

Qiaoying Huang, Chris Kui Jia, Xiaofeng Zhang, Yunming Ye

IEEE Trans. Ind. Informatics, 2017

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

Zhaocai Sun, William K. Cheung, Xiaofeng Zhang, Jun Yang

CoRR, 2017

Forecast customer flow using long short-term memory networks.

Zongming Yin, Junzhang Zhu, Xiaofeng Zhang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016

Mining from distributed and abstracted data.

Xiaofeng Zhang, William K. Cheung, Yunming Ye

WIREs Data Mining Knowl. Discov., 2016

Visual tracking via exemplar regression model.

Xiao Ma, Qiao Liu, Zhenyu He, Xiaofeng Zhang, Wen-Sheng Chen

Knowl. Based Syst., 2016

Effective Approach to Extract Road Map from Unmanned Aerial Vehicle Videos.

Chuan Xiao, Xiaofeng Zhang, Yunming Ye, Xishuang Han

Proceedings of the 9th International Conference on Service Science, 2016

Protecting Link Privacy for Large Correlated Social Networks.

Lin Yang, Yuxing Fei, Xiaofeng Zhang

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

2015

A robust local sparse tracker with global consistency constraint.

Xinhua You, Xin Li, Zhenyu He, Xiaofeng Zhang

Signal Process., 2015

The Author-Topic-Community model for author interest profiling and community discovery.

Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Xin Li

Knowl. Inf. Syst., 2015

Weakly Supervised Object Class Learning Via Discriminative Subspace Models.

Qiaoying Huang, Kui Jia, Xiaofeng Zhang, Xishuang Han

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.

Feng Liu, Xiaofeng Zhang, Yunming Ye, Yahong Zhao, Yan Li

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection.

Qiaoying Huang, Xiaofeng Zhang, Kui Jia, Xishuang Han, Yunming Ye

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Protecting Data Privacy from Being Inferred from High Dimensional Correlated Data.

Huafeng Ba, Xiaoming Gao, Xiaofeng Zhang, Zhenyu He

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

An efficient and practical calibration method for roadside camera using two vanishing points.

Yuan Zheng, Zhenyu He, Wei-Guo Yang, Xiaofeng Zhang

Proceedings of the Proceedings IEEE International Conference on Security, 2014

A Lexicon-Based Multi-class Semantic Orientation Analysis for Microblogs.

Yuqing Li, Xin Li, Fan Li, Xiaofeng Zhang

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

Clustering Based Topic Events Detection on Text Stream.

Chunshan Li, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Shengchun Deng, Xiaofei Xu

Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013

Cluster tree based multi-label classification for protein function prediction.

Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification.

Zhaocai Sun, Yunming Ye, Xiaofeng Zhang, Zhexue Huang, Shudong Chen, Zhi Liu

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure.

Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

Learning latent variable models from distributed and abstracted data.

Xiaofeng Zhang, William K. Cheung, Chun-hung Li

Inf. Sci., 2011

2010

A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain.

Xiaofeng Zhang, William K. Cheung, Zongwei Luo, Frank Tong

Int. J. Appl. Logist., 2010

2007

A Game Theoretic Approach to Active Distributed Data Mining.

Xiaofeng Zhang, William K. Cheung

Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

2006

Service-Oriented Distributed Data Mining.

William K. Cheung, Xiaofeng Zhang, Ho-Fai Wong, Jiming Liu, Zongwei Luo, Frank C. H. Tong

IEEE Internet Comput., 2006

A Privacy-Aware Service-oriented Platform for Distributed Data Mining.

Xiaofeng Zhang, Ho-Fai Wong, William K. Cheung

Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

An Adaptation of EPCA to Image Compression and Reconstruction.

Xin Li, Zhili Wu, Xiaofeng Zhang

Proceedings of the IEEE International Conference on Systems, 2006

Graph-Based Abstraction for Privacy Preserving Manifold Visualization.

Xiaofeng Zhang, William K. Cheung, Chun-hung Li

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005

Learning Global Models Based on Distributed Data Abstractions.

Xiaofeng Zhang, William K. Cheung

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.

Xiaofeng Zhang, William K. Cheung

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.

Xiaofeng Zhang, Chak-Man Lam, William Kwok-Wai Cheung

IEEE Intell. Informatics Bull., 2004

Mining Local Data Sources For Learning Global Cluster Models.

Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Cheung

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004