Mining Local Data Sources For Learning Global Cluster Models. - Chak-Man Lam; Xiaofeng Zhang 002; William Kwok-Wai Cheung (Web Intelligence, 2004)

Mining Local Data Sources For Learning Global Cluster Models Via Model Exchange. - Xiaofeng Zhang 002; Chak-Man Lam; William Kwok-Wai Cheung (IEEE Intell. Informatics Bull., 2004)

Visualizing Global Manifold Based on Distributed Local Data Abstractions. - Xiaofeng Zhang 002; William K. Cheung 001 (ICDM, 2005)

Learning Global Models Based on Distributed Data Abstractions. - Xiaofeng Zhang 002; William K. Cheung 001 (IJCAI, 2005)

Graph-Based Abstraction for Privacy Preserving Manifold Visualization. - Xiaofeng Zhang 002; William K. Cheung 001; Chun-hung Li (IAT Workshops, 2006)

An Adaptation of EPCA to Image Compression and Reconstruction. - Xin Li 033; Zhili Wu; Xiaofeng Zhang 002 (SMC, 2006)

A Privacy-Aware Service-oriented Platform for Distributed Data Mining. - Xiaofeng Zhang 002; Ho-Fai Wong; William K. Cheung 001 (CEC/EEE, 2006)

Service-Oriented Distributed Data Mining. - William K. Cheung 001; Xiaofeng Zhang 002; Ho-Fai Wong; Jiming Liu 001; Zongwei Luo; Frank C. H. Tong (IEEE Internet Comput., 2006)

A Game Theoretic Approach to Active Distributed Data Mining. - Xiaofeng Zhang 002; William K. Cheung 001 (IAT, 2007)

A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain. - Xiaofeng Zhang 002; William K. Cheung 001; Zongwei Luo; Frank Tong (Int. J. Appl. Logist., 2010)

Learning latent variable models from distributed and abstracted data. - Xiaofeng Zhang 002; William K. Cheung 001; Chun-hung Li (Inf. Sci., 2011)

The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure. - Chunshan Li; William K. Cheung 001; Yunming Ye; Xiaofeng Zhang 002 (ADMA, 2012)

Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification. - Zhaocai Sun; Yunming Ye; Xiaofeng Zhang 002; Zhexue Huang; Shudong Chen; Zhi Liu 004 (Web Intelligence, 2012)

Cluster tree based multi-label classification for protein function prediction. - Qingyao Wu; Yunming Ye; Xiaofeng Zhang 002; Shen-Shyang Ho (BIBM, 2013)

Clustering Based Topic Events Detection on Text Stream. - Chunshan Li; Yunming Ye; Xiaofeng Zhang 002; Dian-Hui Chu; Shengchun Deng; Xiaofei Xu (ACIIDS (1), 2014)

A Lexicon-Based Multi-class Semantic Orientation Analysis for Microblogs. - Yuqing Li; Xin Li 033; Fan Li 001; Xiaofeng Zhang 002 (APWeb, 2014)

An efficient and practical calibration method for roadside camera using two vanishing points. - Yuan Zheng 002; Zhenyu He 001; Wei-Guo Yang; Xiaofeng Zhang 002 (SPAC, 2014)

Protecting Data Privacy from Being Inferred from High Dimensional Correlated Data. - Huafeng Ba; Xiaoming Gao; Xiaofeng Zhang 002; Zhenyu He 001 (WI-IAT (1), 2014)

Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection. - Qiaoying Huang; Xiaofeng Zhang 002; Kui Jia; Xishuang Han; Yunming Ye (ICDM Workshops, 2015)

MLRF: Multi-label Classification Through Random Forest with Label-Set Partition. - Feng Liu 034; Xiaofeng Zhang 002; Yunming Ye; Yahong Zhao; Yan Li 040 (ICIC (3), 2015)

Weakly Supervised Object Class Learning Via Discriminative Subspace Models. - Qiaoying Huang; Kui Jia; Xiaofeng Zhang 002; Xishuang Han (WI-IAT (1), 2015)

The Author-Topic-Community model for author interest profiling and community discovery. - Chunshan Li; William K. Cheung 001; Yunming Ye; Xiaofeng Zhang 002; Dian-Hui Chu; Xin Li 033 (Knowl. Inf. Syst., 2015)

A robust local sparse tracker with global consistency constraint. - Xinhua You; Xin Li 034; Zhenyu He 001; Xiaofeng Zhang 002 (Signal Process., 2015)

Protecting Link Privacy for Large Correlated Social Networks. - Lin Yang; Yuxing Fei; Xiaofeng Zhang 002 (CCBD, 2016)

Effective Approach to Extract Road Map from Unmanned Aerial Vehicle Videos. - Chuan Xiao; Xiaofeng Zhang 002; Yunming Ye; Xishuang Han (ICSS, 2016)

Visual tracking via exemplar regression model. - Xiao Ma; Qiao Liu 001; Zhenyu He 001; Xiaofeng Zhang 002; Wen-Sheng Chen (Knowl. Based Syst., 2016)

Mining from distributed and abstracted data. - Xiaofeng Zhang 002; William K. Cheung 001; Yunming Ye (WIREs Data Mining Knowl. Discov., 2016)

Forecast customer flow using long short-term memory networks. - Zongming Yin; Junzhang Zhu; Xiaofeng Zhang 002 (SPAC, 2017)

Towards well-specified semi-supervised model-based classifiers via structural adaptation. - Zhaocai Sun; William K. Cheung 001; Xiaofeng Zhang 002; Jun Yang (CoRR, 2017)

Learning Discriminative Subspace Models for Weakly Supervised Face Detection. - Qiaoying Huang; Chris Kui Jia; Xiaofeng Zhang 002; Yunming Ye (IEEE Trans. Ind. Informatics, 2017)

An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings. - Di Wang 004; Xiaolin Qian; Chai Quek; Ah-Hwee Tan; Chunyan Miao; Xiaofeng Zhang 002; Geok See Ng; You Zhou 008 (Neurocomputing, 2018)

Enhancing social network privacy with accumulated non-zero prior knowledge. - Yue Wang; Lin Yang; Xiaoyun Chen; Xiaofeng Zhang 002; Zhenyu He 001 (Inf. Sci., 2018)

STEM: a suffix tree-based method for web data records extraction. - Yixiang Fang; Xiaoqin Xie; Xiaofeng Zhang 002; Reynold Cheng; Zhiqiang Zhang 010 (Knowl. Inf. Syst., 2018)

Hyperspectral Image Classification With Deep Learning Models. - Xiaofei Yang 002; Yunming Ye; Xutao Li; Raymond Y. K. Lau; Xiaofeng Zhang 002; Xiaohui Huang 003 (IEEE Trans. Geosci. Remote. Sens., 2018)

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. - Xin He; Xiaoming Liu; Zhili Wu; Wu Yu; Xiaowen Chu 001; Shihao Wang; Shaohuai Shi; Zhenheng Tang; Yuxin Wang 003; Zhihao Zhao; Jing Dai; Ronghao Ni; et al. (IEEE BigData, 2019)

Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. - Xin Ju; Xiaofeng Zhang 002; William K. Cheung 001 (ICDE Workshops, 2019)

Road Detection via Deep Residual Dense U-Net. - Xiaofei Yang 002; Xutao Li; Yunming Ye; Xiaofeng Zhang 002; Haijun Zhang 002; Xiaohui Huang 003; Bowen Zhang 005 (IJCNN, 2019)

Heterogeneous Graph Convolutional Networks for Temporal Community Detection. - Yaping Zheng; Shiyi Chen; Xiaofeng Zhang 002; Di Wang 004 (CoRR, 2019)

REDPC: A residual error-based density peak clustering algorithm. - Milan Deepak Parmar; Di Wang 004; Xiaofeng Zhang 002; Ah-Hwee Tan; Chunyan Miao; Jianhua Jiang; You Zhou 008 (Neurocomputing, 2019)

CPU versus GPU: which can perform matrix computation faster - performance comparison for basic linear algebra subprograms. - Feng Li 022; Yunming Ye; Zhaoyang Tian; Xiaofeng Zhang 002 (Neural Comput. Appl., 2019)

Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. - Xiaofei Yang 002; Xutao Li; Yunming Ye; Raymond Y. K. Lau; Xiaofeng Zhang 002; Xiaohui Huang 003 (IEEE Trans. Geosci. Remote. Sens., 2019)

Structure Matters: Towards Generating Transferable Adversarial Images. - Dan Peng; Zizhan Zheng; Linhao Luo; Xiaofeng Zhang 002 (ECAI, 2020)

Session-Based Recommendation with Graph Neural Networks for Repeat Consumption. - Gang Yang; Xiaofeng Zhang 002; Yueping Li (ICCPR, 2020)

A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating. - Linhao Luo; Kai Liu; Dan Peng; Yaolin Ying; Xiaofeng Zhang 002 (ICONIP (2), 2020)

Generating Financial Reports from Macro News via Multiple Edits Neural Networks. - Wenxin Hu; Xiaofeng Zhang 002; Yunpeng Ren (ECML/PKDD (3), 2020)

Correlated Wasserstein Autoencoder for Implicit Data Recommendation. - Linying Yao; Jingbin Zhong; Xiaofeng Zhang 002; Linhao Luo (WI/IAT, 2020)

Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process. - Yaping Zheng; Junda Wu; Xiaofeng Zhang 002; Xiaowen Chu 001 (WI/IAT, 2020)

RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating. - Linhao Luo; Liqi Yang; Ju Xin; Yixiang Fang; Xiaofeng Zhang 002; Xiaofei Yang 002; Kai Chen; Zhiyuan Zhang; Kai Liu (CoRR, 2020)

A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness. - Xiaofeng Zhang 002; Huijie Liu; Xiaoyun Chen; Jingbin Zhong; Di Wang 004 (Inf. Sci., 2020)

A probabilistic approach towards an unbiased semi-supervised cluster tree. - Zhaocai Sun; Xiaofeng Zhang 002; Yunming Ye; Xiaowen Chu 001; Zhi Liu 004 (Knowl. Based Syst., 2020)

McDPC: multi-center density peak clustering. - Yizhang Wang; Di Wang 004; Xiaofeng Zhang 002; Wei Pang 001; Chunyan Miao; Ah-Hwee Tan; You Zhou 008 (Neural Comput. Appl., 2020)

Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification. - Xiaofei Yang 002; Xiaofeng Zhang 002; Yunming Ye; Raymond Y. K. Lau; Shijian Lu; Xutao Li; Xiaohui Huang 003 (Remote. Sens., 2020)

Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. - Linhao Luo; Yixiang Fang; Xin Cao 001; Xiaofeng Zhang 002; Wenjie Zhang 001 (CIKM, 2021)

A hybrid deep generative neural model for financial report generation. - Yunpeng Ren; Wenxin Hu; Ziao Wang; Xiaofeng Zhang 002; Yiyuan Wang; Xuan Wang (Knowl. Based Syst., 2021)

Wasserstein autoencoders for collaborative filtering. - Xiaofeng Zhang 002; Jingbin Zhong; Kai Liu (Neural Comput. Appl., 2021)

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation. - Chuyao Luo; Xutao Li; Yongliang Wen; Yunming Ye; Xiaofeng Zhang 002 (Remote. Sens., 2021)

CP-GNN: A Software for Community Detection in Heterogeneous Information Networks. - Linhao Luo; Yixiang Fang; Xin Cao 001; Xiaofeng Zhang 002; Wenjie Zhang 001 (Softw. Impacts, 2021)

Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method. - Liqi Yang; Linhao Luo; Xiaofeng Zhang 002; Fengxin Li; Xinni Zhang; Zelin Jiang; Shuai Tang (SIGIR, 2022)

Efficient Reachability Query with Extreme Labeling Filter. - Zhixiang Su; Di Wang 004; Xiaofeng Zhang 002; Lizhen Cui; Chunyan Miao (WSDM, 2022)

DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating. - Linhao Luo; Xiaofeng Zhang 002; Xiaoyun Chen; Kai Liu; Dan Peng; Xiaofei Yang 002 (Neural Comput. Appl., 2022)

When Convolutional Network Meets Temporal Heterogeneous Graphs: An Effective Community Detection Method. - Yaping Zheng; Xiaofeng Zhang 002; Shiyi Chen; Xinni Zhang; Xiaofei Yang 002; Di Wang 004 (IEEE Trans. Knowl. Data Eng., 2023)

VDPC: Variational density peak clustering algorithm. - Yizhang Wang; Di Wang 004; You Zhou 008; Xiaofeng Zhang 002; Chai Quek (Inf. Sci., 2023)

MedGraph: malicious edge detection in temporal reciprocal graph via multi-head attention-based GNN. - Kai Chen; Ziao Wang; Kai Liu; Xiaofeng Zhang 002; Linhao Luo (Neural Comput. Appl., 2023)

GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs. - Linhao Luo; Yixiang Fang; Moli Lu; Xin Cao 001; Xiaofeng Zhang 002; Wenjie Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

OCDIB: An Information Bottleneck-Guided Approach for Overlapping Community Detection. - Moli Lu; Linhao Luo; Xiaofeng Zhang 002 (IJCNN, 2024)

Beyond Static Boundaries: Unraveling Temporal Overlapping Communities with Information Bottleneck Guidance. - Moli Lu; Linhao Luo; Xiaofeng Zhang 002 (ACM Trans. Knowl. Discov. Data, 2025)