Xiaodong Feng - RankMe

34 papers A* 1B 2C 3Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection. Appl. Intell. Qihang Zhao, Yuzhe Zhang, Xiaodong Feng
2023	J	`jnl`	Effect of data environment and cognitive ability on participants' attitude towards data governance. J. Inf. Sci. Guoyin Jiang, Xingshun Cai, Xiaodong Feng, Wenping Liu
2023	J	`jnl`	RGSE: Robust Graph Structure Embedding for Anomalous Link Detection. IEEE Trans. Big Data Zhen Liu, Wenbo Zuo, Dongning Zhang, Xiaodong Feng
2023	J	`jnl`	Towards popularity prediction of information cascades via degree distribution and deep neural networks. J. Informetrics Xiaodong Feng, Qihang Zhao, Rui-Jie Zhu
2023	J	`jnl`	Understanding how the expression of online citizen petitions influences the government responses in China: An empirical study with automatic text analytics. Inf. Process. Manag. Xiaodong Feng, Chaorui Wang, Juan Wang
2022	J	`jnl`	AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder. Expert Syst. Appl. Xiaodong Feng, Qihang Zhao, Yunkai Li
2022	J	`jnl`	Predicting information diffusion via deep temporal convolutional networks. Inf. Syst. Qihang Zhao, Yuzhe Zhang, Xiaodong Feng
2022	A*	`conf`	Robust Attributed Network Embedding Preserving Community Information. ICDE Yunfei Liu, Zhen Liu, Xiaodong Feng, Zhongyi Li
2022	J	`jnl`	Social recommendation via deep neural network-based multi-task learning. Expert Syst. Appl. Xiaodong Feng, Zhen Liu, Wenbing Wu, Wenbo Zuo
2022	J	`jnl`	Utilizing citation network structure to predict paper citation counts: A Deep learning approach. J. Informetrics Qihang Zhao, Xiaodong Feng
2021	J	`jnl`	Prediction of information cascades via content and structure proximity preserved graph level embedding. Inf. Sci. Xiaodong Feng, Qihang Zhao, Zhen Liu
2021	J	`jnl`	Robust sparse coding via self-paced learning for data representation. Inf. Sci. Xiaodong Feng, Sen Wu
2021	J	`jnl`	Self-paced learning enhanced neural matrix factorization for noise-aware recommendation. Knowl. Based Syst. Zhen Liu, Xiaodong Feng, Yecheng Wang, Wenbo Zuo
2021	J	`jnl`	Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics. Inf. Manag. Xiaodong Feng, Kangxin Hui, Xin Deng, Guoyin Jiang
2020	J	`jnl`	Clicking position and user posting behavior in online review systems: A data-driven agent-based modeling approach. Inf. Sci. Guoyin Jiang, Xiaodong Feng, Wenping Liu, Xingjun Liu
2020	J	`jnl`	Modeling the dynamics of online review life cycle: Role of social and economic moderations. Eur. J. Oper. Res. Guoyin Jiang, Jennifer Shang, Wenping Liu, Xiaodong Feng, Junli Lei
2020	J	`jnl`	On modeling and predicting popularity dynamics via integrating generative model and rich features. Knowl. Based Syst. Xiaodong Feng, Qihang Zhao, Jie Ma, Guoyin Jiang
2020	J	`jnl`	Understanding user-to-User interaction on government microblogs: An exponential random graph model with the homophily and emotional effect. Inf. Process. Manag. Jie Xiong, Xiaodong Feng, Zhiwei Tang
2018	J	`jnl`	Sparse latent model with dual graph regularization for collaborative filtering. Neurocomputing Xiaodong Feng, Sen Wu, Zhiwei Tang, Zhichao Li
2017	J	`jnl`	Efficient locality weighted sparse representation for graph-based learning. Knowl. Based Syst. Xiaodong Feng, Sen Wu, Wenjun Zhou, Min Quan
2017	J	`jnl`	Multi-Hypergraph Consistent Sparse Coding. ACM Trans. Intell. Syst. Technol. Xiaodong Feng, Sen Wu, Wenjun Zhou
2017	J	`jnl`	Robust Sparse Coding via Self-Paced Learning. CoRR Xiaodong Feng, Zhiwei Tang, Sen Wu
2016	J	`jnl`	Categorical missing data imputation approach via sparse representation. Int. J. Serv. Technol. Manag. Xiaochen Shao, Sen Wu, Xiaodong Feng, Rui Song
2016	J	`jnl`	Label consistent semi-supervised non-negative matrix factorization for maintenance activities identification. Eng. Appl. Artif. Intell. Xiaodong Feng, Yuting Jiao, Chuan Lv, Dong Zhou
2016	—	`conf`	Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering. PAKDD (2) Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang
2016	J	`jnl`	Social network regularized Sparse Linear Model for Top-N recommendation. Eng. Appl. Artif. Intell. Xiaodong Feng, Ankit Sharma, Jaideep Srivastava, Sen Wu, Zhiwei Tang
2015	J	`jnl`	Automatic instance selection via locality constrained sparse representation for missing value estimation. Knowl. Based Syst. Xiaodong Feng, Sen Wu, Jaideep Srivastava, Prasanna Kumar Desikan
2015	C	`conf`	Distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework. KSEM Sen Wu, Dan Lu, Yannan Du, Xiaodong Feng
2015	B	`conf`	Predicting Small Group Accretion in Social Networks: A topology based incremental approach. ASONAM Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal
2015	J	`jnl`	Predicting Small Group Accretion in Social Networks: A topology based incremental approach. CoRR Ankit Sharma, Xiaodong Feng, Kartik Singhal, Rui Kuang, Jaideep Srivastava
2014	J	`jnl`	Spectral clustering of high-dimensional data exploiting sparse representation vectors. Neurocomputing Sen Wu, Xiaodong Feng, Wenjun Zhou
2013	C	`conf`	Spectral Clustering Algorithm Based on Local Sparse Representation. IDEAL Sen Wu, Min Quan, Xiaodong Feng
2012	B	`conf`	Missing categorical data imputation approach based on similarity. SMC Sen Wu, Xiaodong Feng, Yushan Han, Qiang Wang
2011	C	`conf`	Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering. KSEM Xiaodong Feng, Sen Wu, Yanchi Liu