闵巍庆  副研究员  

研究方向:

所属部门:智能信息处理重点实验室

导师类别:硕导计算机应用技术

联系方式:minweiqing@ict.ac.cn

个人网页:http://people.ucas.edu.cn/~weiqing_min

简       历:

2018年10月 — 今:中国科学院计算技术研究所,智能信息处理重点实验室,副研究员
2017年8月 — 2018年10月:中国科学院计算技术研究所,智能信息处理重点实验室,助理研究员
2015年9月 — 2017年8月:中国科学院计算技术研究所,智能信息处理重点实验室,博士后
2010年9月— 2015年7月:中国科学院自动化研究所,模式识别国家重点实验室,工学博士
2008年9月— 2010年7月:武汉大学,电子信息学院,工学硕士
2004年9月— 2008年7月:山东师范大学,信息科学与工程学院,工学学士

个人主页:http://vipl.ict.ac.cn/homepage/minweiqing/Home.html

主要论著:

期刊(Journal)
1. Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui and Ramesh Jain. A Survey on Food Computing. ACM Computing Surveys (CSUR) 52(2): 92:1–92:36(2019)
2. Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, and Shuqiang Jiang. Multi-Task Deep Relative Attribute Learning for Visual Urban Perception. IEEE Trans. on Image Processing 29(1): 657-669(2020)
3. Weiqing Min, Bing-Kun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui, Shuqiang Jiang. You Are What You Eat: Exploring Multi-modal and Multi-attribute Information from Recipes for Cross-Region Food Analysis. IEEE Trans. on Multimedia 20(4):950-964 (2018)
4. Weiqing Min, Shuqiang Jiang, Jitao Sang, et al. Being a Super Cook: Joint Food Attributes and Multi-Modal Content Modeling for Recipe Retrieval and Exploration. IEEE Trans. on Multimedia 19(5): 1100-1113 (2017)
5. Weiqing Min, Bing-kun Bao, Changsheng Xu. Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation. IEEE Trans. on Multimedia 17(10): 1787-1801 (2015)
6. Weiqing Min, Changsheng Xu, Min Xu, Xian Xiao, Bing-kun Bao. Mobile Landmark Search with 3D Models. IEEE Trans. on Multimedia 16(3):623-636(2014)
7. Weiqing Min, Bing-kun Bao, Changsheng Xu. Multi-modal Spatio-Temporal Theme Modeling for Landmark Analysis. IEEE Multimedia 21(3): 20-29 (2014) (2017 Best Paper Award)
8. Weiqing Min, Bing-kun Bao, Changsheng Xu. An Incremental Probabilistic Model for Temporal Theme Analysis of Landmarks. Multimedia System Journal. 22(4): 465-477 (2016)
9. Weiqing Min, Shuqiang Jiang, Shuhui Wang, et al. A Survey on Context-aware Mobile Visual Recognition. Multimedia System Journal 23(6): 647-665 (2017)
10. Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo. Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition. IEEE Trans. on Image Processing 29(1): 265-276(2020)
11. Shuqiang Jiang, Weiqing Min, Shuhuan Mei. Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. IEEE Transactions on Multimedia 21(6): 1609–1619(2019)
12. Bing-Kun Bao, Weiqing Min, Teng Li, Changsheng Xu. Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering. IEEE Trans. Cybernetics 45(1): 15-28 (2015)
13. Bing-Kun Bao, Changsheng Xu, Weiqing Min, M. Shamim Hossain. Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Stream. ACM Trans. on Multimedia Computing, Communications, and Applications. 11(4): 54:1-54:21 (2015) (2016 Best Paper Award)
会议(Conference)
1. Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang. Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition. ACM Multimedia, (Accepted) 2019 (CCF-A)
2. Weiqing Min, Shuqiang Jiang, Shuhui Wang, Jitao Sang, Shuhuan Mei. A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Attributes. ACM Multimedia, 2017: 402-410 (CCF-A)
3. Shuqiang Jiang, Weiqing Min, Xue Li, Huayang Wang, Jian Sun, Jiaqi Zhou. Dual Track Multimodal Automatic Learning through Human-Robot Interaction. International Joint Conferences on Artificial Intelligence (IJCAI), 2017:4485-4491 (CCF-A)
4. Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, and Shuqiang Jiang. Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. AAAI2020 (CCF-A, Accepted) 
5. Bing-Kun Bao, Weiqing Min, Jitao Sang, Changsheng Xu. Multimedia news digger on emerging topics from social streams. ACM Multimedia 2012: 1357-1358
6. Bing-Kun Bao, Weiqing Min, Ke Lu, Changsheng Xu. Social event detection with robust high-order co-clustering. International Conference on Multimedia Retrieval (ICMR), 2013: 135-142

科研项目:

[1] 多模态场景分析及地理位置预测技术研究,国家自然科学基金委面上基金,61972378,2020.1-2023.12,62万,课题负责人 

[2] 基于社会上下文的多模态媒体数据融合方法研究,国家自然科学基金委青年基金,61602437,2017.1-2019.12,21万,课题负责人 

[3] 细粒度视频文字描述自动生成,北京市自然科学基金资助项目,4174106,2017.1-2018.12,9万,课题负责人 

[4] 基于多模态时空主题建模的互联网地标数据挖掘与分析,中国博士后科学基金第59批面上一等资助项目,2016M590135,2016.5-2017.7,8万,课题负责人 

[5] 基于多模态注意网络的社交媒体数据融合和理解方法,中国博士后科学基金第10批特别资助项目,2017T100110, 2017.6-2018.6,15万,课题负责人  

[6] 跨网互联视音频关联分析与检索, 国家自然科学基金重点项目,61532018,2016.01-2020.12,381万,项目骨干 

[7] 面向家庭伴护智能机器人研制及示范, 北京市科技计划项目,D161100001816001,2016.01-2017.12,141.47万,项目骨干

获奖及荣誉:

获得多媒体知名国际期刊 IEEE Multimedia Magazine 2017年度最佳期刊论文奖;
获得多媒体知名国际期刊 ACM Transactions on Multimedia Computing, Communications, and Applications 2016年度最佳期刊论文奖。