Bo Geng's Home Page
Senior Research Development Engineer
Bing Multimedia Index Generation Group
Microsoft Corp.
City Center Plaza,
One Microsoft Way,
Redmond, WA, 98052.
Google Scholar: https://scholar.google.com/citations?user=gsTrHoMAAAAJ&hl=en
Email: bogeng!At!microsoft.com
Bo Geng is currently a Senior Research Software Development Engineer at Microsoft Bing, working on multimedia index generation, specifically on how to select the valuable pages and images from the large-scale web pages into Bing multimedia index.
He recieved the Microsoft Fellowship at 2010 and the best student paper award at the 18th ACM Conference on Information and Knowledge Management (CIKM), Hong Kong.
Experiences:
2012 ~ Now: Microsoft Bing, Redmond, WA, USA.
2011 ~ 2012: INRIA LEAR, Grenoble, France.
2011 ~ 2011: Bing Multimedia Search, Microsoft Research, Redmond, WA, USA.
2010 ~ 2011: Media Computing Group, Microsoft Research Asia, Beijing, China.
2009 ~ 2010: Nanyang Technological University, Singapore.
2008 ~ 2009: Media Computing Group, Microsoft Research Asia, Beijing, China.
2008 ~ 2008: Hong Kong Polytechnic University, Hong Kong, China.
2007 ~ 2008: Media Computing Group, Microsoft Research Asia, Beijing, China.
Publications:
Journal Papers:
B. Geng et al. Ensemble Manifold Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 34, no. 6, pp. 1227-1233, 2012.
B. Geng et al. Ranking Model Adaptation for Domain-Specific Search. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 24, no. 4, pp. 745-758, 2012.
B. Geng et al. Parallel Lasso for Large Scale Video Concept Detection. IEEE Transactions on Multimedia Special Issue on Object and Event Classification in Large-Scale Video Collections (TMM), vol. 14, no. 1, pp. 55-65, 2012.
B. Geng et al. DAML: Domain Adaptation Metric Learning. IEEE Transactions on Image Processing (TIP), vol. 20, no. 10, pp. 2980-2989, 2011.
L. Yang, B. Geng, Y. Cai, A. Hanjalic, and X.-S. Hua. Object Retrieval Using Visual Query Context. IEEE Transactions on Multimedia (TMM), vol. 13, no. 6, pp. 1295-1307, 2011.
L. Yang, B. Geng, A. Hanjalic, and X.-S. Hua. A Unified Context Model for Web Image Retrieval. ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), 2011.
Y. Li, B. Geng, L. Yang, C. Xu, and W. Bian. Query Difficulty Estimation for Image Retrieval. Neurocomputing, 2011.
S. Si, D. Tao, and B. Geng. Bregman Divergence based Regularization for Transfer Subspace Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 22, no. 7, pp. 929-942, 2010.
Conference Papers:
B. Geng et al. The Role of Attractiveness in Web Image Search. ACM Multimedia (SIGMM), 2011. (Oral).
Y. Li, B. Geng, D. Tao, Z.-J. Zha, and C. Xu. Difficulty Guided Image Retrieval using Linear Multiview Embedding. ACM Multimedia (SIGMM). 2011.
Y. Li, B. Geng, Z.-J. Zha, Y. Li, D. Tao, and C. Xu. Query Expansion by Spatial Co-occurrence for Image Retrieval. ACM Multimedia (SIGMM). 2011.
Y. Luo, D. Tao, B. Geng, S. Maybank, and C. Xu. Shared Feature Extraction for Semi-supervised Image Classification. ACM Multimedia (SIGMM), 2011.
R. Xu, M. Shi, B. Geng, and C. Xu. Fast Visual Word Assignment via Spatial Neighborhood Boosting. International Conference on Multimedia & Expo (ICME). 2011.
B. Geng et al. Content-Aware Ranking for Visual Search. IEEE International Conference Computer Vision and Pattern Recognition (CVPR), 2010.
L Yang, B. Geng, and A. Hanjalic. Contextual Image Retrieval Model. International Conference on Image and Video Retrieval (CIVR), 2010. (Oral)
B. Geng, et al. Ranking Model Adaptation for Domain-Specific Search. ACM Conference on Information and Knowledge Management (CIKM), 2009. (Oral, Best Student Paper Award).
B. Geng et al. Linjun Yang, and Xian-Sheng Hua. Ensemble Manifold Regularization. IEEE International Conference Computer Vision and Pattern Recognition (CVPR), 2009.
B. Geng et al. A Study of Language Model for Image Retrieval. IEEE International Workshop on Internet Media Mining in Conjunction with ICDM, 2009.
L. Yang, L. Wang, ,B. Geng, and X.-S. Hua. Query Sampling for Ranking Learning in Web Search. In Proceedings of the 32th annual International ACM SIGIR Conference on research and development in Information Retrieval (SIGIR), 2009.
B. Geng et al. Collaborative Learning for Image and Video Annotation. ACM International Conference on Multimedia Information Retrieval (MIR), 2008. (Oral)
B. Geng et al. Unbiased Active Learning for Image Retrieval. IEEE Conference on Multimedia and Expo (ICME), 2008.