汪萌
研究方向
研究项目
多媒体分析与搜索-国家自然科学基金杰出青年科学基金. 2018-2022.
面向复杂查询的异质媒体搜索-国家自然科学基金重点项目. 2018-2022. (合作单位负责人)
大数据环境下复杂多媒体的分析、推送与展示-国家自然科学基金重点项目. 2015-2019. (合作单位负责人)
多媒体分析与处理-国家自然科学基金优秀青年科学基金. 2014-2016.
基于网络媒体信息挖掘的视频语义分析-教育部博士点博导类基金. 2014-2015.
视频复杂语义分析关键技术研究-国家自然科学基金面上项目. 2013-2016.
社交网络群体影响力及交互作用-国家973计划课题. 2013-2017.
大规模异质数据分析、挖掘与管理-国家973计划青年科学家项目. 2014-2018. (合作单位负责人)
教育部新世纪优秀人才支持计划. 2013 - 2015.
教学工作
研究生培养:
2014级博士研究生2名,硕士研究生4名;
2013级硕士研究生2名;
2012级博士研究生1名、硕士研究生1名;
2011级硕士研究生3名(已毕业)。
获奖情况
安徽省自然科学一等奖– “视觉媒体的协同分析理论与方法”(排名:1),2017.
国家杰出青年科学基金获得者,2017.
国家自然科学二等奖– “图像非均匀计算理论与方法” (排名:3), 2015.
组部青年拔尖人才支持计划,2015.
教育部自然科学二等奖-“图象分析与检索基础理论研究”(排名:2), 2017.
教育部自然科学二等奖– “多媒体数据分析与检索” (排名:2), 2014.
ACM SIGMM Rising Star Award, 2014.
国家优秀青年科学基金获得者, 2013.
教育部新世纪优秀人才支持计划, 2012.
Clarivate Analytics Highly Cited Researchers (2016, 2017).
Best Transactions Paper Award, IEEE Systems, Man, and Cybernetics Society, 2017.
Best Paper Honorable Mention, IEEE TMM Paper Award, 2016.
Best Paper Honorable Mention, IEEE TMM Paper Award, 2015.
Best Paper Honorable Mention, ACM SIGIR, 2015.
Best Paper Award, the 16th Pacific-Rim Conference on Multimedia (PCM), 2015.
Best Student Paper Award, International Conference on Data Mining (ICDM), 2014.
Best Demo Award, the 20th ACM International Conference on Multimedia (ACM MM), 2012.
Best Paper Award, the 4th International Conference on Internet Multimedia Computing and Service.
学术成果
主要论著
[1] Meng Wang, Xian-Sheng Hua, Richang Hong, Jinhui Tang, Guo-Jun Qi, Yan Song. Unified Video Annotation Via Multi-Graph Learning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 5, pp. 733-746, 2009.
[2] Meng Wang, Xian-Sheng Hua, Jinhui Tang, Richang Hong. Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation, IEEE Transactions on Multimedia, vol. 11, no. 3, pp. 465-476, 2009.
[3] Meng Wang, Yelong Sheng, Bo Liu, Xian-Sheng Hua. “In-Image Accessibility Indication,” IEEE Transactions on Multimedia, vol. 12, no. 4, pp. 330-336, 2010.
[4] Meng Wang, Bo Liu, Xian-Sheng Hua. Accessible Image Search for Colorblindness, ACM Transactions on Intelligent Systems and Technology, vol. 1, no. 1, pp. 8-33, 2010.
[5] Meng Wang, Kuiyuan Yang, Xian-Sheng Hua, Hong-Jiang Zhang. Towards a Relevant and Diverse Search of Social Images, IEEE Transactions on Multimedia, vol. 12, no. 8, pp. 829-842, 2010.
[6] Meng Wang and Xian-Sheng Hua. Active Learning in Multimedia Annotation and Retrieval: A Survey, ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 2, pp. 10-31, 2011.
[7] Meng Wang, Richang Hong, Xiao-Tong Yuan, Shuicheng Yan, Tat-Seng Chua. Movie2Comics: Towards a Lively Video Content Presentation, IEEE Transactions on Multimedia, vol. 14, no. 3, pp. 858-870, 2012.
[8] Meng Wang, Richang Hong, Guangda Li, Zheng-Jun Zha, Shuicheng Yan, Tat-Seng Chua. Event Driven Web Video Summarization by Tag Localization and Key-Shot Identification, IEEE Transactions on Multimedia, vol. 14, no. 4, pp. 975-985, 2012.
[9] Meng Wang, Bingbing Ni, Xian-Sheng Hua, Tat-Seng Chua. Assistive Tagging: A Survey of Multimedia Tagging with Human-Computer Joint Exploration, ACM Computing Surveys, vol. 4, no. 4, Article 25, 2012.
[10] Meng Wang, Hao Li, Dacheng Tao, Ke Lu. Multimodal Graph-Based Reranking for Web Image Search, IEEE Transactions on Image Processing, vol. 21, no. 11, pp. 4649-4661, 2012.
[11] Meng Wang, Yue Gao, Ke Lu, Yong Rui. View-Based Discriminative Probabilistic modeling for 3D Object Retrieval and Recognition, IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1395-1407, 2013.
[12] Meng Wang, Guangda Li, Zheng Lu, Yue Gao, Tat-Seng Chua. “When Amazon Meets Google: Product Visualization by Exploring Multiple Information Sources,” ACM Transactions on Internet Technology, vol. 12, no. 4, Article 12, 2013.
[13] Meng Wang, Weisheng Li, Dong Liu, Bingbing Ni, Jialie Shen, Shuicheng Yan. “Facilitating Image Search with a Scalable and Compact Semantic Mapping,” IEEE Transactions on Cybernetics, vol. 45, no. 8, pp. 1561-1574, 2015.
[14] Meng Wang, Xueliang Liu. “Visual Classification by l1-Hypergraph Modeling,” IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 9, pp. 2564-2574, 2015.[1]