I dare to bet you all don't know, in the Microsoft China Research Institute, we have many experts from world-class multimed

xiaoxiao2021-03-06  43

I dare to bet you all don't know, in the Microsoft China Research Institute, we have many experts from world-class multimedia research experts. - Bill Gates

Dr. Zhang Yaqin, Dr. Zhang Yaqin, Dr. Zhang Yutiang, Dr. Zhang Yutong, Dr. Zhang Yifeng, Dr. Zhang Yizhao, Dr. Zhang Yizhao, Dr. Zhang Yizhen, Dr. Guo Baing, Dr. Wang

Dr. Ma Weiying Zhou Ming, Dr. Li Shipeng, Dr. Li Shipeng, Dr. Wu Feng, Dr. Wu Feng, Dr. Wu Feng, Dr. Wu Feng, Dr. Wu Feng, Dr. Wu Feng, Dr. Zhang Jianfeng

Friends, take a closer look at the resume above.

Chen Zheng

Li Zhiwei

Li Ming

Liu Tie Yan

Mavi Ying

Nie Changqing

Photo is missing

Shi Shuming

Song Rianhua

Wen Jing

Thank you

Yuan Chun

Zeng Huajun

Zhang Lei

Zhang Benyu

Associated member

Photo is missing

Hong Xiaowen

Ma Yufei

Zhang Hongjiang

XD (Xuedong) huang

Curtis Wong

paper

. Preserving Projections using the image database clustering Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma and Xueyin Lin Locality Preserving Clustering for Image Database 12th ACM International Conference on Multimedia, New York City, USA, Oct. 2004Collapse - TO-ZOOM: Browse the page on small screen devices on small screen devices in small screen devices, xi-xie, collapse-to-zoom: Viewing Web Pages on Small Screen Devices by Interactively Removing Irrelevant Content Content Content Content , 17th Annual ACM Symposium on User Interface Software and Technology (UIST 2004), Technote, Sante Multi-Mode Similarity Dissemination and Its Application in Internet Image Retrieval XIN-JING WANG, WEI-YING MA, GUI-RONG XUE, AND XING Li, "Multi-Model Similarity Propagation and its Application for Web image Retrieval", 12th ACM International Conference on Multimedia, New York City, USA, Oct. 2004. WWW image search engine for visually effective interface design Zhiwei Li, Xing Xie, hao Liu, Xiao-Ou Tang, Mingjing Li, Wei-Ying Ma, Intuitive and Effective Interfaces for WWW Image Search Engines, 12th ACM International Conference on Multimedia, New York City, USA, Oct. 2004, demo. use visual, textual and Link analysis to internet image search Search result hierarchical clustering Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma and Ji-Rong Wen, Hierarchical Clustering of WWW Image Search Results Using Visual, Textual and Link Analysis, 12th ACM International Conference on Multimedia, New York City, USA, OCT. 2004 Class of Internet Image Search Results Show xin-jing wang, wei-ying ma, qi-cai he, and xing li, "grouping web image search result"

, 12th ACM International Conference on Multimedia, New York City, USA, Oct. 2004, poster image retrieval by learning image Xiaofei He manifold, Wei-Ying Ma, Hong-Jiang Zhang. Learning an Image Manifold for Retrieval, 12th ACM International Conference ON MultiMedia, New York City, USA, Oct. 2004. Instance-based Internet Database Model Matching Jiying Wang, Ji-Rong Wen, Fred Lochovsky and Wei-Ying Ma, Instance-based Schema Matching for Web Databases by Domain-specific Query Probing, the 30th International Conference on Very Large Data Bases (VLDB 2004), Toronto, Ontario, Canada, August 2004.IMMC: maximized bounds standard increment Jun Yan, Benyu Zhang, Shuicheng Yan, Zheng chen, Weiguo Fan, Wensi Xi, Qiang Yang, Wei-Ying Ma, and Qiansheng Cheng IMMC:.. Incremental Maximum Margin Criterion 10th ACM SIGKDD international conference on Knowledge discovery and data mining, Seattle, USA, based on the document's insurance Bureau index indicates Methods xiaofei He, deng Cai, Haifeng Liu and Wei-Ying Ma. Locality Preserve Indexing for Document Representation. The 27th Annual International ACM SIGIR Conference (Sigir'2004), July 2004. Based on the summary page classification Dou Shen, Zheng Chen, Hua-Jun Zeng, Benyu Zhang, Qiang Yang, Wei-Ying Ma, Yuchang Lu. Web-page Classification through Summarization. The 27th Annual International ACM SIGIR Conference (SIGIR ' 2004, July 2004 Based on learning - based search results Cluster hua-jun zeng, qi-cai he, zheng chen, wei-ying ma. Learning to Cluster Search Results. The 27th Annual International ACM SIGIR Conference (Sigir '

2004) JULY 2004 For the probability model based on environmental retrieval JI-RONG WEN, NI LAO and Wei-Ying Ma, Probabilistic Model for Contextual Retrieval, The 27th Annual International ACM SIGIR Conference (Sigir 2004), July 2004 Based on web page block Link Analysis Deng Cai, XIaofei He, Ji-Rong Wen and Wei-Ying Ma, Block-Level Lin Analysis, The 27th Annual International ACM Sigir Conference (Sigir 2004), July 2004 Based on Web Packet Bills DENG CAI, Shipeng YU JI-RONG WEN AND Wei-Ying Ma, Block-based Web Search, The 27th Annual International ACM Sigir Conference (Sigir 2004), July 2004 Extracts texture features from any shape area for image search YING Liu, XIAOFANG Zhou, wei-Ying Ma, Extracting Texture Features from Arbitrary-shaped Regions for image retrieval. 2004 IEEE International Conference on Multimedia and Expo., Taipei, Jun. 2004. bridging using data-driven approach to image retrieval cognitive differences Xin-Jing Wang Wei-Ying Ma, And Xing Li, "Data-Driven Approach for Bridging The Cognitive Gap In Image Retrieval", 2004 IEEE International Conference ON MultiMedia and Expo., TAIPEI, JUN. 2004. Maximize multimedia browsing on small screens Information throughput xing Xie, Wei-ying ma, hong-jiang zhang, m aximizing Information Throughput for Multimedia Browsing on Small Displays, 2004 IEEE International Conference on Multimedia and Expo., Taipei, Jun. 2004. WWW-based page layout and image organization web link structure Deng Cai, Xiaofei He, Wei-Ying Ma, Ji- rong Wen and Hong-Jiang Zhang, Organizing WWW images based on the Analysis of Page Layout and Web Link Structure, 2004 IEEE International Conference on Multimedia and Expo., Taipei, Jun. 2004. attention model progressive image transmission based Yusuo Hu, Xie, Zonghai Chen, Wei-Ying Ma, Attention Model Based Progressive Image Transmission, 2004 IEEE International Conference ON MultiMedia and Expo., Taipei, Jun. 2004. More papers ...

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