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Assistant Professor
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
Email: xiaowang[AT]bupt[DOT]edu[DOT]cn
Brief Bio - News - Experiences - Publications
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, graph neural networks, community detection, as well as the network related applications.
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Reviewer for Journals:
IEEE TKDE, IEEE TCybernetics, IEEE TBD, ACM TIST, Neurocomputing, World Wide Web Journal, PLOS ONE, Future Generation Computer Systems, MultiMedia Tools and Applications, Frontiers of Computer Science, Computer Science (in Chinese), Information Processing & Management
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Reviewer for Conferences:
After 2018: AAAI 2018, CIKM 2019, AAAI 2019, IJCAI 2019, KDD 2019, PAKDD 2019, ACM MM 2019, AAAI 2020, PAKDD 2020
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[09/19] Accepted the invitation to serve as PC member for PAKDD 2020.
[09/19] One paper was accepted by IEEE TKDE. Congratulations to all the collaborators!
[08/19] One paper was accepted by CIKM 2019. Congratulations to all the collaborators!
[07/19] I got the CCF-Tencent Open Fund. Thanks, CCF and Tencent!
[07/19] Accepted the invitation to serve as PC member for AAAI 2020.
[07/19] One paper was accepted by International Journal of Molecular Sciences. Congratulations to all the collaborators!
[07/19] One paper was accepted by ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP). Congratulations to all the collaborators!
[06/19] Accepted the invitation to serve as session chair for IJCAI 2019. See you in Macao!
[05/19] Accepted the invitation to serve as PC member for CIKM 2019.
- 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]
- 2019
[C1] Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye. Heterogeneous Graph Attention Network. WWW 2019. (CCF -A) [code]
[C2] Xiao Wang, Yiding Zhang, Chuan Shi. Hyperbolic heterogeneous information network embedding. AAAI 2019. (CCF-A) [code]
[C3] Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye. Temporal network embedding with micro- and macro-dynamics. CIKM 2019. (CCF-B)
[J1] Ping Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang. Inferring disease-associated microRNAs in heterogeneous networks with node attributes. *IEEE/ACM Transactions on Computational Biology and Bioinformatics. *(CCF-C)
[J2] Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen. Drug repositioning through integration of prior knowledge and projections of drugs and diseases. Bioinformatics. (CCF-B)
[J3] Ping Xuan, Hao Sun, Xiao Wang*, Tiangang Zhang, Shuxiang Pan. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks. International Journal of Molecular Sciences.
[J4] Liang Yang, Yuexue Wang, Junhua Gu, Xiaochun Cao, Xiao Wang*, Di Jin, Guiguang Ding, Jungong Han, Weixiong Zhang. Autonomous Semantic Community Detection via Adaptively Weighted Low-rank Approximation. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP). (CCF-B)
[J5] Chuan Shi, Xiaotian Han, Li Song, Xiao Wang*, Senzhang Wang, Junping Du, Philip S. Yu. Deep collaborative filtering with multi-aspect information in heterogeneous networks. IEEE TKDE. (CCF-A)
- 2018
[C1] Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang. Power-law distribution aware trust prediction. IJCAI 2018. (CCF-A) [code]
[C2] Ke Tu, Peng Cui, Xiao Wang*, Fei Wang, Wenwu Zhu. Structural deep embedding for hyper-networks. AAAI 2018. (CCF-A) [code]
[C3] Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang*, Wenwu Zhu. TIMERS: error-bounded SVD restart on dynamic networks. AAAI 2018. (CCF-A) [code]
[C4] Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang*, Wenjie Zhang, Kenji Yamanishi. Ranking Preserving Nonnegative Matrix Factorization. IJCAI 2018. (CCF-A)
[C5] Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao and Wenwu Zhu. Arbitrary-Order Proximity Preserved Network Embedding. KDD 2018. (CCF-A) [code]
[C6] Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu and Wenwu Zhu. Deep Recursive Network Embedding with Regular Equivalence. KDD 2018. (CCF-A) [code]
[C7] Jianxin Ma, Peng Cui, Xiao Wang and Wenwu Zhu. Hierarchical Taxonomy Aware Network Embedding. KDD 2018. (CCF-A) [code]
[C8] Shaohua Fan, Chuan Shi, Xiao Wang. Abnormal event detection via heterogeneous information network embedding. CIKM 2018. (CCF-B) [code]
[C9] Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu. Billion-scale Network Embedding with Iterative Random Projection. ICDM 2018. (CCF-B) [code]
[C10] Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, etc. Edge content enhanced network embedding. ICTAI 2018. (CCF-C)
[C11] Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang and Qinghua Hu. Latent Subspace Representation For Multiclass Classification. PRICAI 2018. (CCF-C)
[J1] Peng Cui, Xiao Wang*, Jian Pei, Wenwu Zhu. A survey on network embedding. IEEE TKDE . (CCF-A)
[J2] Yanbei Liu, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang and Zhitao Xiao. Entropy-based active sparse subspace clustering. Multimedia Tools and Applications. (JCR-3)
- 2017
[C1] 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)
[C2] 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)
[C3] 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)
[J1] 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)
[J2] 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)
[J3] 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)
- 2016
[C1] 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). [CODE] (CCF-A)
[C2] 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)
[C3] 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). (CCF-A)
[J1] 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)
[J2] Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang*. Unsupervised Feature Selection via Diversity-induced Self-representation. Neurocomputing 2016. [CODE] (JCR-2)
[J3] 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.
- Before 2015
[C1] 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. (CCF-C)
[C2] 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. (CCF-A)
[J1] 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[CODE] (JCR-2)
[J2] 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 (JCR-1)
[J3] Xiaochun Cao, Xiao Wang*, Di Jin, Xiaojie Guo, Xianchao Tang. A Stochastic Model for Detecting Overlapping and Hierarchical Community Structure. PLOS ONE 2015.
[J4] Liang Yang, Di Jin, Xiao Wang, Xiaochun Cao. Active Link Selection for Efficient Semi-supervised Community Detection. Scientific Reports 2015. (JCR-2)
[J5] 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.
*Corresponding author