- [1] Yunfei Liu, Zhen Liu, Xiaodong Feng*(Corresponding Author). Robust Attributed Network Embedding Preserving Community Information, IEEE International Conference on Data Engineering, 2022
- [2] Feng Xiaodong, Hui Kangxin, Deng Xin, Jiang Guoyin. Understanding How the Semantic Features of Contents Influence the Diffusion of Government Microblogs: Moderating Role of Content Topics. Information & Management, 2021, 58(8):103547
- [3] Feng Xiaodong, Zhao Qihang, Yunkai Li. AECasN: An Information Cascade Predictor by Learning the Structural Representation of the Whole Cascade Network with Autoencoder. Expert Systems With Applications,2022, 191:116260
- [4] Zhao Qihang, Feng Xiaodong*(Corresponding author). Utilizing Citation Network Structure to Predict Paper Citation Counts: A Deep Learning Approach. Journal of Informetrics, 2022, 16(1):101235
- [5] Zhao Qihang, Zhang Yuzhe, Feng Xiaodong*(Corresponding author). Predicting Information Diffusion via Deep Temporal Convolutional Networks. Information Systems, 2022
- [6] Feng Xiaodong, Wu Sen. Robust sparse coding via self-paced learning for data representation, Information Sciences, 2021, 546: 448-468.
- [7] Liu Zhen, Feng Xiaodong*(Corresponding author), Wang Yecheng, Zuo Wenbo, Self-Paced Learning Enhanced Neural Matrix Factorization for Noise-aware Recommendation, Knowledge-Based Systems, 2021, 213:
- [8] Feng Xiaodong, Zhao Qihang, Liu Zhen. Prediction of Information Cascades via Content and Structure Proximity Preserved Graph Level Embedding, Information Sciences, 2021, 560: 424-440
- [9] Lan Tao, Feng Xiaodong*(Corresponding author), Zeng, Zhimin, Effect of B&B host responses to online reviews on subsequent reviews: the moderating effects of class level, Tourism Review, 2021
- [10] Jiang Guoyin, Feng Xiaodong, Liu, Wenping, Liu, Xingjun. Clicking position and user posting behavior in online review systems: A data-driven agent-based modeling approach. Information Sciences, 2020, 512: 161-174.
- [11] 冯小东,马捷,蒋国银. 社会信任、理性行为与政务微博传播:基于文本挖掘的实证研究[J]. 情报学报,2019,09:38(9): 954-965
- [12] Xiong Jie, Feng Xiaodong*(通讯作者) , Tang Zhiwei. Understanding user-to-user interaction on government microblogs: An exponential random graph model with the homophily and emotional effect[J]. Information Processing & Management, 2020: 102229.
- [13] Feng Xiaodong, Zhao Qihang, Ma Jie, Jiang Guoyin. On modeling and predicting popularity dynamics via integrating generative model and rich features, Knowledge-Based Systems, 2020, 196:105786.
- [14] Feng Xiaodong, Wu Sen. Robust sparse coding via self-paced learning for data representation, Information Sciences, 2021, 546: 448-468., Information Sciences,
- [15] 锁利铭,冯小东. 数据驱动的城市精细化治理:特征、要素与系统耦合. 公共管理学报,2018
- [16] 冯小东,汤志伟. 智慧城市实践中的数据利用挑战和应对. 智慧城市评论,2017(02): 23-30.
- [17] Feng Xiaodong, Wu Sen, Tang Zhiwei, Li Zhichao. Sparse Latent Model with dual Graph Regularization for Collaborative Filtering. Neurocomputing, 2018, 284: 128-137
- [18] Feng Xiaodong, Wu Sen, Zhou Wenjun. Multi-Hypergraph Consistent Sparse Coding. ACM Transactions on Intelligent Systems and Technology (TIST), 2017, 8(6): 75.
- [19] Feng Xiaodong, Wu Sen, Zhou Wenjun, Quan Min. Efficient locality weighted sparse representation for graph-based learning, Knowledge-Based Systems, 2017, 121: 129-141
- [20] Feng Xiaodong,Ankit Sharma,Jaideep Srivastava,Wu Sen,Tang Zhiwei, Social Network Regularized Sparse Linear Model for Top-N recommendation,Engineering Applications of Artificial Intelligence,2016,51:5-15.