基本信息
闵巍庆  男  硕导  中国科学院计算技术研究所
电子邮件: minweiqing@ict.ac.cn
通信地址: 北京海淀区中关村科学院南路6号
邮政编码: 100190

招生信息

   
招生专业
081203-计算机应用技术
招生方向
多媒体内容分析与理解
计算机视觉

教育背景

2010-09--2015-07   中国科学院自动化研究所   工学博士
2008-09--2010-07   武汉大学   工学硕士
2004-09--2008-07   山东师范大学   工学学士

工作经历

   
工作简历
2018-09~现在, 中国科学院计算技术研究所, 副研究员
2017-08~2018-09,中国科学院计算技术研究所, 助理研究员
2015-07~2017-08,中国科学院计算技术研究所, 博士后

专利与奖励

   
奖励信息
(1) 多媒体知名国际期刊IEEE Multimedia Magazine (IF:1.898) 2017年度最佳期刊论文奖, 一等奖, 其他, 2017
(2) 多媒体知名国际期刊ACM Transactions on MM(IF:2.019)2016年度最佳期刊论文奖, 一等奖, 其他, 2016
专利成果
[1] 闵巍庆, 王致岭, 蒋树强. 一种果蔬图像分类系统及方法. CN: CN112906780A, 2021-06-04.

[2] 蒋树强, 张天予, 闵巍庆. 一种第一视角视频行为预测系统及方法. CN: CN112183391A, 2021-01-05.

[3] 蒋树强, 罗正东, 闵巍庆. 一种多尺度融合的食品图像分类模型训练及图像分类方法. CN: CN111222546A, 2020-06-02.

[4] 闵巍庆, 王致岭, 刘林虎, 蒋树强. 基于多模态信息关联分析的食物推荐方法和系统. CN: CN111159539A, 2020-05-15.

[5] 闵巍庆, 吕永强, 蒋树强. 小样本食品图像识别模型训练方法及食品图像识别方法. CN: CN111062424A, 2020-04-24.

[6] 蒋树强, 刘林虎, 闵巍庆. 一种训练食品图像分类模型的方法及图像分类方法. CN: CN111046920A, 2020-04-21.

[7] 蒋树强, 徐瑞邯, 闵巍庆, 贺志强. 图像标注方法和电子设备. CN: CN105426925A, 2016-03-23.

出版信息

   
发表论文
[1] Wang, Wei, Min, Weiqing, Li, Tianhao, Dong, Xiaoxiao, Li, Haisheng, Jiang, Shuqiang. A review on vision-based analysis for automatic dietary assessment. TRENDS IN FOOD SCIENCE & TECHNOLOGYnull. 2022, 122: 223-237, [2] 闵巍庆, 刘林虎, 刘宇昕, 罗梦江, 蒋树强. 食品图像识别方法综述. 计算机学报. 2022, 45(3): 542-566, [3] Weiqing Min, Chunlin Liu, Leyi Xu, Shuqiang Jiang. Applications of knowledge graphs for food science and industry. Patterns[J]. 2022, 3(5): 100484-, [4] Jiang Shuqiang. What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. IJCAI. 2021, [5] Liu, Xinda, Min, Weiqing, Mei, Shuhuan, Wang, Lili, Jiang, Shuqiang. Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2021, 30: 2003-2015, http://dx.doi.org/10.1109/TIP.2021.3049334.
[6] Zhu, Yaohui, Min, Weiqing, Jiang, Shuqiang. Attribute-Guided Feature Learning for Few-Shot Image Recognition. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2021, 23: 1200-1209, http://dx.doi.org/10.1109/TMM.2020.2993952.
[7] Min, Weiqing, Tian, Yonghong, Huang, Zi, Cheng, WenHuang, El Saddik, Abdulmotaleb. Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications Guest Editors' Introduction. IEEE MULTIMEDIAnull. 2020, 27(3): 8-11, https://www.webofscience.com/wos/woscc/full-record/WOS:000567430300002.
[8] Wang Jing, Min Weiqing, Hou Sujuan, Ma Shengnan, Zheng Yuanjie, Jiang Shuqiang. LogoDet-3K: A Large-Scale Image Dataset for Logo Detection. 2020, http://arxiv.org/abs/2008.05359.
[9] Jiang, Shuqiang, Min, Weiqing, Liu, Linhu, Luo, Zhengdong. Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2020, 29: 265-276, http://dx.doi.org/10.1109/TIP.2019.2929447.
[10] Min, Weiqing, Jiang, Shuqiang, Jain, Ramesh. Food Recommendation: Framework, Existing Solutions, and Challenges. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2020, 22(10): 2659-2671, https://www.webofscience.com/wos/woscc/full-record/WOS:000572628000012.
[11] Jiang, Shuqiang, Min, Weiqing, Wen, Yonggang, Huang, Qingming, Yan, Shuicheng. Deep neural networks for emerging multimedia computing and applications. NEUROCOMPUTINGnull. 2020, 395: 117-118, http://dx.doi.org/10.1016/j.neucom.2019.05.084.
[12] Jiang, Shuqiang, Min, Weiqing, Lyu, Yongqiang, Liu, Linhu. Few-shot Food Recognition via Multi-view Representation Learning. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2020, 16(3): http://dx.doi.org/10.1145/3391624.
[13] Min, Weiqing, Mei, Shuhuan, Liu, Linhu, Wang, Yi, Jiang, Shuqiang. Multi-Task Deep Relative Attribute Learning for Visual Urban Perception. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2020, 29: 657-669, http://dx.doi.org/10.1109/TIP.2019.2932502.
[14] 吕永强, 闵巍庆, 段华, 蒋树强. 融合三元卷积神经网络与关系网络的小样本食品图像识别. 计算机科学[J]. 2020, 47(1): 136-143, http://lib.cqvip.com/Qikan/Article/Detail?id=7100754637.
[15] Min, Weiqing, Mei, Shuhuan, Li, Zhuo, Jiang, Shuqiang. A Two-Stage Triplet Network Training Framework for Image Retrieval. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2020, 22(12): 3128-3138, http://dx.doi.org/10.1109/TMM.2020.2974326.
[16] 李辉, 闵巍庆, 王致岭, 彭鑫. 基于图卷积网络的多标签食品原材料识别. 南京信息工程大学学报(自然科学版). 2019, 11(6): 743-750, http://lib.cqvip.com/Qikan/Article/Detail?id=7100798659.
[17] Min, Weiqing, Bao, Bingkun, Xu, Qianqian, Herranz, Luis, Jiang, Shuqiang. Editorial Note: Efficient Multimedia Processing Methods and Applications. MULTIMEDIA TOOLS AND APPLICATIONSnull. 2019, 78(1): 1-1, http://ir.ia.ac.cn/handle/173211/25297.
[18] Min, Weiqing, Jiang, Shuqiang, Liu, Linhu, Rui, Yong, Jain, Ramesh. A Survey on Food Computing. ACM COMPUTING SURVEYS[J]. 2019, 52(5): http://dx.doi.org/10.1145/3329168.
[19] Mei, Shuhuan, Min, Weiqing, Duan, Hua, Jiang, Shuqiang. Instance-level object retrieval via deep region CNN. MULTIMEDIA TOOLS AND APPLICATIONS[J]. 2019, 78(10): 13247-13261, http://dx.doi.org/10.1007/s11042-018-6427-1.
[20] Jiang, Shuqiang, Min, Weiqing, Mei, Shuhuan. Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2019, 21(6): 1609-1619, http://ir.sia.cn/handle/173321/24724.
[21] Min Weiqing, Jiang Shuqiang, Jain Ramesh. Food Recommendation: Framework, Existing Solutions and Challenges. 2019, http://arxiv.org/abs/1905.06269.
[22] Min, Weiqing, Liu, Linhu, Luo, Zhengdong, Jiang, Shuqiang, ACM. Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 1331-1339, http://dx.doi.org/10.1145/3343031.3350948.
[23] Chen, Chengpeng, Min, Weiqing, Li, Xue, Jiang, Shuqiang. Hybrid incremental learning of new data and new classes for hand-held object recognition. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION[J]. 2019, 58: 138-148, https://www.webofscience.com/wos/woscc/full-record/WOS:000457668100015.
[24] Min, Weiqing, Bao, BingKun, Mei, Shuhuan, Zhu, Yaohui, Rui, Yong, Jiang, Shuqiang. You Are What You Eat: hxploring Rich Recipe Information for Cross-Region Food Analysis. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2018, 20(4): 950-964, https://www.webofscience.com/wos/woscc/full-record/WOS:000427623000015.
[25] Min, Weiqing, Jiang, Shuqiang, Sang, Jitao, Wang, Huayang, Liu, Xinda, Herranz, Luis. Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2017, 19(5): 1100-1113, http://dx.doi.org/10.1109/TMM.2016.2639382.
[26] Min, Weiqing, Jiang, Shuqiang, Wang, Shuhui, Xu, Ruihan, Cao, Yushan, Herranz, Luis, He, Zhiqiang. A survey on context-aware mobile visual recognition. MULTIMEDIA SYSTEMS[J]. 2017, 23(6): 647-665, https://www.webofscience.com/wos/woscc/full-record/WOS:000415313700002.
[27] 梅舒欢, 闵巍庆, 刘林虎, 段华, 蒋树强. 基于Faster R-CNN的食品图像检索和分类. 南京信息工程大学学报:自然科学版. 2017, 9(6): 635-641, http://lib.cqvip.com/Qikan/Article/Detail?id=673716120.
[28] Jiang Shuqiang. Dual Track Multimodal Automatic Learning through Human-Robot Interaction. IJCAI. 2017, [29] Min Weiqing, Jiang Shuqiang, Wang Shuhui, Sang Jitao, Mei Shuhuan, ACM. A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Attributes. PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)null. 2017, 402-410, http://dx.doi.org/10.1145/3123266.3123272.
[30] Shuhuan Mei, BingKun Bao, Weiqing Min, Yong Rui, Shuqiang Jiang, Yaohui Zhu. You are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis. IEEE Transactions on Multimedia[J]. 2017, 1-1, http://ir.ia.ac.cn/handle/173211/19859.
[31] Min, Weiqing, Bao, BingKun, Xu, Changsheng. An incremental probabilistic model for temporal theme analysis of landmarks. MULTIMEDIA SYSTEMS[J]. 2016, 22(4): 465-477, https://www.webofscience.com/wos/woscc/full-record/WOS:000378820500009.
[32] 蒋树强, 闵巍庆, 王树徽. 面向智能交互的图像识别技术综述与展望. 计算机研究与发展[J]. 2016, 53(1): 113-122, http://lib.cqvip.com/Qikan/Article/Detail?id=667688334.
[33] Bao, BingKun, Min, Weiqing, Li, Teng, Xu, Changsheng. Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2015, 45(1): 15-28, http://ir.ia.ac.cn/handle/173211/11021.
[34] Bao, BingKun, Xu, Changsheng, Min, Weiqing, Hossain, Mohammod Shamim. Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2015, 11(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000355933700007.
[35] Min, Weiqing, Bao, BingKun, Xu, Changsheng, Hossain, M Shamim. Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2015, 17(10): 1787-1801, http://ir.ia.ac.cn/handle/173211/9016.
[36] 闵巍庆. Changsheng Xu, Min Xu, Xian Xiao, Bing-Kun Bao, Mobile Landmark Search with 3D Models. IEEE Transactions on Multimedia. 2014, [37] Min, Weiqing, Bao, BingKun, Xu, Changsheng. Multimodal Spatio-Temporal Theme Modeling for Landmark Analysis. IEEE MULTIMEDIA[J]. 2014, 21(3): 20-29, https://www.webofscience.com/wos/woscc/full-record/WOS:000344994800004.
[38] Jiang, Shuqiang, Min, Weiqing, Mei, Shuhuan. Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. http://arxiv.org/abs/1810.09833.