Biography

Currently I am an assistant professor in the School of Computer Science, Beijing University of Posts and Telecommunications. Before that, I was a postdoc in the Department of Computer Science and Technology at Tsinghua University working with Professor Shiqiang Yang and Professor Peng Cui. I got my Ph.D. in the School of Computer Science and Technology at Tianjin University under the supervision of Prof. Xiaochun Cao in 2016. From Nov. 2014 to Nov. 2015, I visited Prof. Weixiong Zhang's group at Washington University in St. Louis as a visiting student.

My current research interests include data mining, machine learning, and analysis of complex networks. In particular, I am interested in the network embedding and how to effectively detect and analyze the communities of complex networks.

Experiences

• Visiting Student, Department of Computer Science and Engineering, Washington University in St. Louis, Missouri, USA, November, 2014- December, 2015
• Visiting Student, CNSA Center for Spacebome Remote Sensing Demonstration, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China, March, 2010- April, 2012

Publications [Google Scholar]

• [30] Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, etc. Edge content enhanced network embedding. ICTAI 2018. (CCF-C)
• [29] Shaohua Fan, Chuan Shi, Xiao Wang. Abnormal event detection via heterogeneous information network embedding. CIKM 2018. (CCF-B)
• [28] Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu. Billion-scale Network Embedding with Iterative Random Projection. ICDM 2018. (CCF-B)
• [27] Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang. Power-law distribution aware trust prediction. IJCAI 2018. (CCF-A)
• [26] Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang*, Wenjie Zhang, Kenji Yamanishi. Ranking Preserving Nonnegative Matrix Factorization. IJCAI 2018. (CCF-A)
• [25] Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao and Wenwu Zhu. Arbitrary-Order Proximity Preserved Network Embedding. KDD 2018. (CCF-A)
• [24] Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu and Wenwu Zhu. Deep Recursive Network Embedding with Regular Equivalence. KDD 2018. (CCF-A)
• [23] Jianxin Ma, Peng Cui, Xiao Wang and Wenwu Zhu. Hierarchical Taxonomy Aware Network Embedding. KDD 2018. (CCF-A)
• [22] Peng Cui, Xiao Wang*, Jian Pei, Wenwu Zhu. A survey on network embedding. TKDE 2018. [PDF] (CCF-A)
• [21] Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang*, Wenwu Zhu. TIMERS: error-bounded SVD restart on dynamic networks. AAAI 2018. (CCF-A)
• [20] Ke Tu, Peng Cui, Xiao Wang*, Fei Wang, Wenwu Zhu. Structural deep embedding for hyper-networks. AAAI 2018. (CCF-A)
• [19] Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang. A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. Bioinformatics, 2017. (CCF-B)
• [18] Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Kun Zhan, Xiao Wang*. Diverse multi-view nonnegative matrix factorization for data representation. IEEE Transactions on Cybernetics, 2017. (JCR-1)
• [17] Jing Wang, Feng Tian, Xiao Wang*, Chang Hong Liu, Hongchuan Yu, Liang Yang. Multi-Component Nonnegative Matrix Factorization. The 26th International Joint Conference on Artificial Intelligence (IJCAI-17). (CCF-A)
• [16] Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang*, Xianchao Tang. Robust Nonnegative Matrix Factorization with Ordered Structure Constraints. The 2017 International Joint Conference on Neural Networks (IJCNN 2017). Oral. (CCF-C)
• [15] Xianchao Tang, Tao Xu, Xia Feng, Guoqing Yang, Jing Wang, Qiannan Li, Yanbei Liu, Xiao Wang*. Learning Community Structures: Global and Local Perspectives. Neurocomputing, 2017. (JCR-2)
• [14] Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang. Community Preserving Network Embedding. The 31st AAAI Conference on Artificial Intelligence (AAAI-17). [CODE] (CCF-A)
• [13] Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu. Constrained Low-Rank Representation for Robust Subspace Clustering. IEEE Transactions on Cybernetics, 2016. (JCR-1)
• [12] Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang*. Unsupervised Feature Selection via Diversity-induced Self-representation. Neurocomputing 2016. [CODE] (JCR-2)
• [11] Xianchao Tang, Guoqing Yang, Tao Xu, Xia Feng, Xiao Wang*, Qiannan Li, Yanbei Liu. Link community detection by nonnegative matrix factorization with multi-step similarities. Modern Physics Letters B. 2016.
• [10] Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Yanbei Liu. Adaptive Multi-View Semi-Supervised Nonnegative Matrix Factorization. The 23rd International Conference on Neural Information Processing (ICONIP 2016). (CCF-C)
• [9] Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang. Modularity based community detection with deep learning. The 25th International Joint Conference on Artificial Intelligence (IJCAI-16). [PDF] (CCF-A)
• [8] Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang. Semantic community detection in large attribute networks. The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). [PDF] [CODE] (CCF-A)
• [7] Xiao Wang, Xiaochun Cao, Di Jin, Yixin Cao, Dongxiao He. The (un)supervsied NMF methods for discovering overlapping communities as well as hubs and outliers in networks. Physica A: Statistical Mechanics and its Applications. 2015. This is the journal extension version of our WWW2014 paper. [PDF]
• [6] Jing Wang, Feng Tian, Changhong Liu, Xiao Wang. Robust Semi-supervised Nonnegative Matrix Factorization. The 2015 International Joint Conference on Neural Networks (IJCNN 2015). Accepted as Oral. [PDF] (CCF-C)
• [5] Liang Yang, Di Jin, Xiao Wang, Xiaochun Cao. Active Link Selection for Efficient Semi-supervised Community Detection. Scientific Reports 2015. [PDF] (JCR-2)
• [4] Xiaochun Cao, Xiao Wang*, Di Jin, Xiaojie Guo, Xianchao Tang. A Stochastic Model for Detecting Overlapping and Hierarchical Community Structure. PLOS ONE 2015. [PDF]
• [3] Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng. A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. IEEE Trans. on Cybernetics, 2014 [PDF] (JCR-1)
• [2] Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He. The (un)supervised detection of overlapping communities as well as hubs and outliers via (Bayesian) NMF [C]. The 23th International World Wide Web Conference (WWW2014), poster. [PDF] (CCF-A)
• [1] Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He. Identifying overlapping communities as well as hubs and outliers via nonnegative matrix factorization [J]. Scientific Reports 2013, 3, 2993 [PDF][CODE] (JCR-2)

*Corresponding author

Academic service

Reviewer

AAAI 2018; AAAI 2019; PAKDD 2019; KSEM 2018; IEEE Transactions on knowledge and data engineering; IEEE Transactions on Cybernetics; IEEE Transactions on Big Data; Neurocomputing; World Wide Web Journal ; PLOS ONE; Future Generation Computer Systems; Computer Science (in Chinese)