Dr. Shengbo Guo
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Working Experience:
02/2013--present: Research Scientist, Samsung Media Solution Center America
10/2011--02/2013: Research Scientist, Xerox Research Centre Europe
01/2011--10/2011: Post-doc Researcher, Xerox Research Centre Europe
Education :
PhD: Statistical Machine Learning, ANU, 2011
MSc: Pattern Recognition & Intelligent Systems, USTC, 2007
BSc: Computer Science, HAUST, 2004
Research Interests:
Machine learning, graphical models and approximate inference, social network analysis, recommender systems, and decision making.
Publications:
Convex Collective Matrix Factorizatoin (New!),
Guillaume Bouchard, Dawei Yin, Shengbo Guo,
In Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS-13). Scottsdale, AZ, USA.
Connecting Comments and Tags: Improved Modeling of Social Tagging Systems (New!),
Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cedric Archambeau, Guillaume Bouchard,
In Proceedings of the 6th International ACM Conference on Web Search and Data Mining 2013 (WSDM-13). Rome, Italy.
Score-based Bayesian Skill Learning,
Shengbo Guo, Scott Sanner, Thore Graepel, Wray Buntine,
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2012 (ECML-PKDD). Bristol, UK,
supplemental material + matlab code.
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off,
Kar Wai Lim, Scott Sanner, Shengbo Guo,
In Proceedings of the 35th Annual ACM SIG Information Retrieval Conference 2012 (SIGIR-12), Portland, USA,
supplemental material.
Sparse Bayesian Multi-Task Learning,
Cedric Archambeau, Shengbo Guo, Onno Zoeter,
In Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS-11). Granada, Spain.
Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model,
Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi,
In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM-11). Glasgow, UK.
Gaussian Process Preference Elicitation,
Edwin Bonilla, Shengbo Guo, Scott Sanner,
In Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS-10). Vancouver, Canada.
Probabilistic Latent Maximal Marginal Relevance,
Shengbo Guo, Scott Sanner,
In Proceedings of the 33rd Annual ACM SIG Information Retrieval Conference (SIGIR-10). Geneva, Switzerland.
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries,
Shengbo Guo, Scott Sanner,
In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS-10). Sardinia, Italy.
(matlab code)
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries,
Shengbo Guo, Scott Sanner,
NIPS 2009 Workshop on Learning with Ordering, Vancouver, Canada.
Choosing Business Collaborators Using Computing Intelligence Methods,
Yu Zhang, Shengbo Guo, Jun Hu, Ann Hodgkinson,
In Proceedings of the 3nd International Conference on Intelligent Computing 2008 (ICIC-08): 529-535. Shanghai, China.
Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus,
Shengbo Guo, Ying Wang, Xing Yan, Longnian Lin, Joe Tsien, Deshuang Huang,
In Proceedings of the 3nd International Conference on Intelligent Computing 2007 (ICIC-07): 1339-1344. Qingdao, China.
Gene Selection Based on Mutual Information for the Classification of Multi-class Cancer,
Shengbo Guo, Michael R. Lyu, Tat-Ming Lok,
In Proceedings of the 2nd International Conference on Intelligent Computing 2006 (ICIC-06): 453-463. Kuming, China
Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network,
Zhikai Huang, Deshuang Huang, Jixiang Du, Zhonghua Quan, Shengbo Guo,
In Proceedings of the 13th International Conference on Neural Information Processing 2006 (ICONIP-06): 80-87. Hongkong, China.
Bayesian Recommender System: Models and Algorithms,
Shengbo Guo, PhD Thesis, The Australian National University, 2011.
The Study on the Fractal Property of Inter-Spike Interval Sequences of Interneurons in Mouse Hippocampus,
Shengbo Guo, Master Thesis (in Chinese), the University of Science and Technology of China, 2007.
International Talks:
Bayesian Recommender Systems: Models and Algorithms, 13 September 2011, INRIA, Grenoble, France
Probabilistic Latent Maximal Marginal Relevance, 26 May 2010, Yahoo! Research, Barcelona, Spain
Probabilistic Latent Maximal Marginal Relevance, 19 May 2010, Google Zurich, Switzerland
A Latent Variable Graphical Model Derivation of Diversity for Set-based Retrieval, 7 May 2010, INRIA, Paris, France
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries, 4 May 2010, National University of Singapore, Singapore
Research Awards:
Other Awards:
Professional Activities:
PhD Supervisory Panel:
Contact Details: