Sheng GAO

School of Information and Communication Engineering, Associate Professor

Email: gaosheng@bupt.edu.cn

Office: Buliding 3 -803

 

Education

  • Laboratoire d’Informatique de Paris 6,  Université Pierre et Marie Curie      Doctor  in Machine Learning and Data Mining                                          2008- 2012
  • School of Information Engineering ,  Beijing University of Posts and Telecommunications           Master  in Pattern Recognition and Intelligent System  2003.9-2006.5
  • School of Information Engineering ,   Beijing University of Posts and Telecommunications   Bachelor in Information Automatic   1999.9-2003.6

Research Experience

  • Deep learning in Knowledge Base in MSRA                                   2013.9-2014.3
  • Theory and Models on Cross-domain Recommendation          2012.10- Present
  • Link mining in social media and social computing                          2008.1-2012.5
  • Fouille de données relationnelles dans les réseaux sociaux.       2010.1-2011.10
  •  Content based information retrieval                                                2005.8-2006.1
  • SMS-TDT System                                                                         2005.12-2006.5
  • Expert search system(TREC challenge)                                   2005.5-2005.8

Work Experience:

  • School of Information and Communication Engineering, BUPT          2012.7- Present
  • School of Information Engineering, BUPT      2003.9-2007.8

Publications:

  1. Sheng Gao, Dai Zhang, Honggang Zhang, Jianxin Liao, Chao Huang, Yongsheng Zhang, Jun Guo. VecLP: A Real-time Internet Video Recommendation System for Live TV Programs. AAAI 2015.
  2. Siting Ren, Sheng Gao, Jianxin Liao, Jun Guo. Improving Cross-domain Recommendation through Probabilistic Cluster-level Latent Factor Model. AAAI 2015.
  3. Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari and Jun Guo: A Cross-domain Recommendation Model for Cyber-Physical Systems. IEEE Transactions on Emerging Topics in Computing, 2014.
  4. Zhanyu Ma, A. Leijon, Sheng Gao. Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference, Journal of Signal Processing System (JSPS), Volume 74, Issue 3, pp.359-374, 2014.
  5. Yu Zhao, Sheng Gao, Jun Guo. Link Prediction with Three-ways Affinity Embeddings Model. In procedding: The International Conference on Future Web, Busan, Korea, November 6-7, 2014.
  6. Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo. Pairwise Differentialized Embedding Model for Knowledge Base Completion. ECML/PKDD Workshop, 2014.
  7. Li Juncen, Sheng Gao, Zhiqing Lin, Jun Guo. Inferring Links in Cascade through Hawkes Process Based Diffusion Model. IC-NIDC 2014.
  8. Hao Xu, Sheng Gao, Huachan Pang, Jun Guo. Predicting Information Diffusion via Matrix Factorization Based Model. IC-NIDC 2014.
  9. Dai Zhang, Sheng Gao, Honggang Zhang, Guang Chen, Jun Guo. A Realtime Video Recommendation System for Live Programs. IC-NIDC 2014.
  10. Sheng Gao*, Ludovic Denoyer, Patrick Gallinari and Jun Guo, Modeling relational data via Latent Factor BlockModel. European Conference on Information Retrieval(ECIR), 2013.
  11. Sheng Gao*, Shantao Li, Hao Luo, Da Chen, Yajing Xu and Jun Guo: Friendship and affiliation co-recommendation via Collective Latent Factor BlockModel, 16th WPMC, 2013.
  12. Sheng Gao, Hao Luo, Da Chen, Patrick Gallinari and Jun Guo: Cross-Domain Recommendation via Cluster-Level Latent Factor Model. ECML/PKDD, 2013.
  13. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Prédiction de Liens Temporels en Intégrant les Informations,  La revue Ingénierie des Systèmes d’Information , volume(6), 14-27, 2012.
  14. Sheng Gao*, Ludovic Denoyer, Patrick Gallinari and Jun Guo, Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks, Journal of China Universities of Posts and Telecommunications, 2012.
  15. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Link Prediction via Latent Factor Block Model. Proceedings of the 21st International Conference on World Wide Web (WWW), 2012.
  16. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Temporal Link Prediction by Integrating Content and Structure Information. Proceedings of the 20th ACM International Conference on Information and Knowledge Management(CIKM), 2011.
  17. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Link Pattern Prediction with Tensor Decomposition in Multi-relational Networks. IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2011.
  18. Sheng Gao*, Ludovic Denoyer, Patrick Gallinari and Jun Guo, Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction, 3nd IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2012.
  19. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Prédiction de Liens Temporels en Intégrant les Informations de Contenu et de Structure.  Seconde conférence sur les Modèles et l’Analyse des Réseaux :Approches Mathématiques et Informatique (MARAMI), 2011.
  20. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Tensor decomposition model for link prediction in multi-relational networks. 2nd IEEE International Conference on Network Infrastructure and Digital Content (NIDC), 2010.
  21. Sheng Gao*, Ludovic Denoyer and Patrick Gallinari, Prediction de Motifs Relationnels par Decomposition Tensorielle dans les Reseaux Sociaux. Proceedings of REiSO Workshop on Search and Recommendation in Social Networks, 2010.

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