Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering. - Xiaodong Feng 001; Sen Wu 001; Yanchi Liu (KSEM, 2011)

Missing categorical data imputation approach based on similarity. - Sen Wu 001; Xiaodong Feng 001; Yushan Han; Qiang Wang (SMC, 2012)

Spectral Clustering Algorithm Based on Local Sparse Representation. - Sen Wu 001; Min Quan; Xiaodong Feng 001 (IDEAL, 2013)

Spectral clustering of high-dimensional data exploiting sparse representation vectors. - Sen Wu 001; Xiaodong Feng 001; Wenjun Zhou 001 (Neurocomputing, 2014)

Predicting Small Group Accretion in Social Networks: A topology based incremental approach. - Ankit Sharma 004; Rui Kuang; Jaideep Srivastava; Xiaodong Feng 001; Kartik Singhal 001 (ASONAM, 2015)

Distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework. - Sen Wu 001; Dan Lu; Yannan Du; Xiaodong Feng 001 (KSEM, 2015)

Automatic instance selection via locality constrained sparse representation for missing value estimation. - Xiaodong Feng 001; Sen Wu 001; Jaideep Srivastava; Prasanna Kumar Desikan (Knowl. Based Syst., 2015)

Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering. - Xiaodong Feng 001; Sen Wu 001; Wenjun Zhou 001; Zhiwei Tang (PAKDD (2), 2016)

Label consistent semi-supervised non-negative matrix factorization for maintenance activities identification. - Xiaodong Feng 001; Yuting Jiao; Chuan Lv; Dong Zhou (Eng. Appl. Artif. Intell., 2016)

Social network regularized Sparse Linear Model for Top-N recommendation. - Xiaodong Feng 001; Ankit Sharma 004; Jaideep Srivastava; Sen Wu 001; Zhiwei Tang (Eng. Appl. Artif. Intell., 2016)

Categorical missing data imputation approach via sparse representation. - Xiaochen Shao; Sen Wu 001; Xiaodong Feng 001; Rui Song (Int. J. Serv. Technol. Manag., 2016)

Robust Sparse Coding via Self-Paced Learning. - Xiaodong Feng 001; Zhiwei Tang; Sen Wu 001 (CoRR, 2017)

Efficient locality weighted sparse representation for graph-based learning. - Xiaodong Feng 001; Sen Wu 001; Wenjun Zhou 001; Min Quan (Knowl. Based Syst., 2017)

Multi-Hypergraph Consistent Sparse Coding. - Xiaodong Feng 001; Sen Wu 001; Wenjun Zhou 001 (ACM Trans. Intell. Syst. Technol., 2017)

Sparse latent model with dual graph regularization for collaborative filtering. - Xiaodong Feng 001; Sen Wu 001; Zhiwei Tang; Zhichao Li (Neurocomputing, 2018)

Modeling the dynamics of online review life cycle: Role of social and economic moderations. - Guoyin Jiang; Jennifer Shang; Wenping Liu 001; Xiaodong Feng 001; Junli Lei (Eur. J. Oper. Res., 2020)

Understanding user-to-User interaction on government microblogs: An exponential random graph model with the homophily and emotional effect. - Jie Xiong; Xiaodong Feng 001; Zhiwei Tang (Inf. Process. Manag., 2020)

Clicking position and user posting behavior in online review systems: A data-driven agent-based modeling approach. - Guoyin Jiang; Xiaodong Feng 001; Wenping Liu 001; Xingjun Liu (Inf. Sci., 2020)

On modeling and predicting popularity dynamics via integrating generative model and rich features. - Xiaodong Feng 001; Qihang Zhao; Jie Ma; Guoyin Jiang (Knowl. Based Syst., 2020)

Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics. - Xiaodong Feng 001; Kangxin Hui; Xin Deng; Guoyin Jiang (Inf. Manag., 2021)

Robust sparse coding via self-paced learning for data representation. - Xiaodong Feng 001; Sen Wu 001 (Inf. Sci., 2021)

Prediction of information cascades via content and structure proximity preserved graph level embedding. - Xiaodong Feng 001; Qihang Zhao; Zhen Liu 006 (Inf. Sci., 2021)

Self-paced learning enhanced neural matrix factorization for noise-aware recommendation. - Zhen Liu 006; Xiaodong Feng 001; Yecheng Wang; Wenbo Zuo (Knowl. Based Syst., 2021)

Robust Attributed Network Embedding Preserving Community Information. - Yunfei Liu; Zhen Liu 006; Xiaodong Feng 001; Zhongyi Li (ICDE, 2022)

Social recommendation via deep neural network-based multi-task learning. - Xiaodong Feng 001; Zhen Liu 006; Wenbing Wu; Wenbo Zuo (Expert Syst. Appl., 2022)

AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder. - Xiaodong Feng 001; Qihang Zhao; Yunkai Li (Expert Syst. Appl., 2022)

Predicting information diffusion via deep temporal convolutional networks. - Qihang Zhao; Yuzhe Zhang 002; Xiaodong Feng 001 (Inf. Syst., 2022)

Utilizing citation network structure to predict paper citation counts: A Deep learning approach. - Qihang Zhao; Xiaodong Feng 001 (J. Informetrics, 2022)

Understanding how the expression of online citizen petitions influences the government responses in China: An empirical study with automatic text analytics. - Xiaodong Feng 001; Chaorui Wang; Juan Wang (Inf. Process. Manag., 2023)

Effect of data environment and cognitive ability on participants' attitude towards data governance. - Guoyin Jiang; Xingshun Cai; Xiaodong Feng 001; Wenping Liu 001 (J. Inf. Sci., 2023)

Towards popularity prediction of information cascades via degree distribution and deep neural networks. - Xiaodong Feng 001; Qihang Zhao; Rui-Jie Zhu 003 (J. Informetrics, 2023)

RGSE: Robust Graph Structure Embedding for Anomalous Link Detection. - Zhen Liu 006; Wenbo Zuo; Dongning Zhang; Xiaodong Feng 001 (IEEE Trans. Big Data, 2023)

Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection. - Qihang Zhao; Yuzhe Zhang 002; Xiaodong Feng 001 (Appl. Intell., 2024)