Xiaodong Feng

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 38

Top Topics

Ensemble Classification

Top Venues

Knowl. Based Syst.

Publications

Bangzhu Zhou, Xiaodong Feng, Hemin Feng
Structural-topic aware deep neural networks for information cascade prediction. PeerJ Comput. Sci. 10 (2024)
Xiaodong Feng, Jie Xiong, Zhiwei Tang
To be rational or sensitive? The gender difference in how textual environment cue and personal characteristics influence the sentiment expression on social media. Telematics Informatics 80 (2023)
Jiangyong Liu, Cheng Xie, Chuyang Yi, Xiaoxue Luo, Xiaodong Feng, Lingzhi Yi
Freight Train Operation Optimization Strategy Based on Improved Multi-Objective Slime Mould Algorithm. IECON (2023)
Xiaodong Feng, Chaorui Wang, Juan Wang
Understanding how the expression of online citizen petitions influences the government responses in China: An empirical study with automatic text analytics. Inf. Process. Manag. 60 (3) (2023)
Xiaodong Feng, Lingzhi Yi, Ning Liu, Xieyi Gao, Weiwei Liu, Bin Wang
An Efficient Scheduling Strategy for Collaborative Cloud and Edge Computing in System of Intelligent Buildings. J. Adv. Comput. Intell. Intell. Informatics 27 (5) (2023)
Qihang Zhao, Yuzhe Zhang, Xiaodong Feng
Predicting information diffusion via deep temporal convolutional networks. Inf. Syst. 108 (2022)
Qihang Zhao, Xiaodong Feng
Utilizing citation network structure to predict paper citation counts: A Deep learning approach. J. Informetrics 16 (1) (2022)
Xiaodong Feng, Zhen Liu, Wenbing Wu, Wenbo Zuo
Social recommendation via deep neural network-based multi-task learning. Expert Syst. Appl. 206 (2022)
Xiaodong Feng, Qihang Zhao, Yunkai Li
AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder. Expert Syst. Appl. 191 (2022)
Xiaodong Feng, Yue Qian, Wanfang Shen
MC-Nonlocal-PINNs: handling nonlocal operators in PINNs via Monte Carlo sampling. CoRR (2022)
Xiaodong Feng, Li Zeng
Gradient-enhanced deep neural network approximations. CoRR (2022)
Jianning Yang, Jiahao Xue, Xiaodong Feng, Chaoqi Song, Yu Hao
Tire Pattern Image Classification using Variational Auto-Encoder with Contrastive Learning. VCIP (2022)
Yunfei Liu, Zhen Liu, Xiaodong Feng, Zhongyi Li
Robust Attributed Network Embedding Preserving Community Information. ICDE (2022)
Rong Liu, Guoyin Jiang, Xiaodong Feng
The Role of Reputation Mechanism in Rural Tourism Platform on Multi-agent Value Co-creation: A Multi Case Study. PACIS (2021)
Xiaodong Feng, Li Zeng, Tao Zhou
Solving time dependent Fokker-Planck equations via temporal normalizing flow. CoRR (2021)
Xiaodong Feng, Kangxin Hui, Xin Deng, Guoyin Jiang
Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics. Inf. Manag. 58 (8) (2021)
Zhiwei Wu, Haosong Peng, Biao Hu, Xiaodong Feng
Trajectory Tracking of a Novel Underactuated AUV via Nonsingular Integral Terminal Sliding Mode Control. IEEE Access 9 (2021)
Zhen Liu, Xiaodong Feng, Yecheng Wang, Wenbo Zuo
Self-paced learning enhanced neural matrix factorization for noise-aware recommendation. Knowl. Based Syst. 213 (2021)
Xiaodong Feng, Sen Wu
Robust sparse coding via self-paced learning for data representation. Inf. Sci. 546 (2021)
Xiaodong Feng, Qihang Zhao, Zhen Liu
Prediction of information cascades via content and structure proximity preserved graph level embedding. Inf. Sci. 560 (2021)
Jie Xiong, Xiaodong Feng, Zhiwei Tang
Understanding user-to-User interaction on government microblogs: An exponential random graph model with the homophily and emotional effect. Inf. Process. Manag. 57 (4) (2020)
Guoyin Jiang, Xiaodong Feng, Wenping Liu, Xingjun Liu
Clicking position and user posting behavior in online review systems: A data-driven agent-based modeling approach. Inf. Sci. 512 (2020)
Guoyin Jiang, Jennifer Shang, Wenping Liu, Xiaodong Feng, Junli Lei
Modeling the dynamics of online review life cycle: Role of social and economic moderations. Eur. J. Oper. Res. 285 (1) (2020)
Xiaodong Feng, Qihang Zhao, Jie Ma, Guoyin Jiang
On modeling and predicting popularity dynamics via integrating generative model and rich features. Knowl. Based Syst. 196 (2020)
Xiaodong Feng, Zhi Xiao, Bo Zhong, Yuanxiang Dong, Jing Qiu
Dynamic weighted ensemble classification for credit scoring using Markov Chain. Appl. Intell. 49 (2) (2019)
Xiaodong Feng, Zhi Xiao, Xianning Wang, Bo Zhong
Peer-to-Peer Lending Platform Selection Using Intuitionistic Fuzzy Soft Set and D-S Theory of Evidence. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27 (1) (2019)
Xiaodong Feng, Guoyin Jiang
Why do people comment on government social media? - an empirical analysis on China's local governments in Sina Weibo. Int. J. Internet Enterp. Manag. 9 (2) (2019)
Xiaodong Feng, Sen Wu, Zhiwei Tang, Zhichao Li
Sparse latent model with dual graph regularization for collaborative filtering. Neurocomputing 284 (2018)
Lue Li, Zhi Xiao, Xiaodong Feng, Bo Zhong
Soft Incomplete Discernibility Matrix for Decision-Making Problems. IEEE Access 6 (2018)
Xiaodong Feng, Zhi Xiao, Bo Zhong, Jing Qiu, Yuanxiang Dong
Dynamic ensemble classification for credit scoring using soft probability. Appl. Soft Comput. 65 (2018)
Xiaodong Feng, Sen Wu, Wenjun Zhou
Multi-Hypergraph Consistent Sparse Coding. ACM Trans. Intell. Syst. Technol. 8 (6) (2017)
Xiaodong Feng, Sen Wu, Wenjun Zhou, Min Quan
Efficient locality weighted sparse representation for graph-based learning. Knowl. Based Syst. 121 (2017)
Liping Yang, Xiaohui Sun, Xiaodong Feng, Fei Liu
A case study of scattering characteristics detection using polsar data in Northwest arid China. IGARSS (2017)
Xiaodong Feng, Zhiwei Tang, Sen Wu
Robust Sparse Coding via Self-Paced Learning. CoRR (2017)
Xiaodong Feng, Yuting Jiao, Chuan Lv, Dong Zhou
Label consistent semi-supervised non-negative matrix factorization for maintenance activities identification. Eng. Appl. Artif. Intell. 52 (2016)
Xiaodong Feng, Ankit Sharma, Jaideep Srivastava, Sen Wu, Zhiwei Tang
Social network regularized Sparse Linear Model for Top-N recommendation. Eng. Appl. Artif. Intell. 51 (2016)
Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang
Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering. PAKDD (2) (2016)
Xiaochen Shao, Sen Wu, Xiaodong Feng, Rui Song
Categorical missing data imputation approach via sparse representation. Int. J. Serv. Technol. Manag. 22 (3/4/5) (2016)
Sen Wu, Dan Lu, Yannan Du, Xiaodong Feng
Distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework. KSEM (2015)
Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal
Predicting Small Group Accretion in Social Networks: A topology based incremental approach. ASONAM (2015)
Xiaodong Feng, Sen Wu, Jaideep Srivastava, Prasanna Kumar Desikan
Automatic instance selection via locality constrained sparse representation for missing value estimation. Knowl. Based Syst. 85 (2015)
Ankit Sharma, Xiaodong Feng, Kartik Singhal, Rui Kuang, Jaideep Srivastava
Predicting Small Group Accretion in Social Networks: A topology based incremental approach. CoRR (2015)
Sen Wu, Xiaodong Feng, Wenjun Zhou
Spectral clustering of high-dimensional data exploiting sparse representation vectors. Neurocomputing 135 (2014)
Sen Wu, Min Quan, Xiaodong Feng
Spectral Clustering Algorithm Based on Local Sparse Representation. IDEAL (2013)
Sen Wu, Xiaodong Feng, Yushan Han, Qiang Wang
Missing categorical data imputation approach based on similarity. SMC (2012)
Yutian Huang, Xiaodong Feng
The Framework of the Kernel Technology of Hibernate. WISM (3) (2011)
Xiaodong Feng, Sen Wu, Yanchi Liu
Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering. KSEM (2011)