主要研究方向为多媒体内容分析及食品计算。在Patterns(Cell Press), ACM Computing Surveys, Trends in Food Science & Technology, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, IEEE Trans. on Cybernetics, ACM Trans. on Multimedia Computing Communications and Applications (ACM TOMM), IEEE Multimedia Magazine, ACM MM, AAAI, IJCAI等权威国际期刊与会议上发表学术论文50余篇。连续两年分获国际多媒体领域主流期刊ACM TOMM和IEEE MM的年度唯一最佳论文奖。获2020年度北京市科技进步二等奖及2020年度ACM中国SIGMM新星奖。是IEEE/CCF/CSIG/中国食品科学技术学会高级会员，担任中国计算机学会多媒体专委会副秘书长。是多个国际学术会议组织委员会委员，包括ACM MM Asia2019/ACM MM2021/ICME2022领域主席和ICIMCS2017 出版主席，是多个国际会议（如PCM2017和MMSP2015）的专题组织者，是国际期刊IEEE Multimedia和Neurocomputing客座编委，是Patterns(Cell Press), IEEE Trans. on Processing, IEEE Trans. on Multimedia, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Neural Network and Learning System, ACM TOMM, IEEE Multimedia Magazine, Food & Function等国际权威期刊的审稿人，是ACM MM, CVPR, ICCV, ECCV, AAAI, IJCAI等CCF-A类国际会议的程序委员会委员。作为项目负责人承担国家基金委面上项目及博士后特别资助项目等。作为项目骨干，参加了新一代人工智能2030国家重点研发计划、国家基金重点项目、联合基金重点支撑项目及北京市科技计划项目等多项重要课题。
食品计算小组主页：http://123.57.42.89/FoodComputing__Home.html
个人主页：http://123.57.42.89/foodcomputing/weiqingmin/home.html
经历
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
论文
[1] Weiqing Min, Chunlin Liu, Leyi Xu and Shuqiang Jiang. Applications of knowledge graphs for the food science and industry. Patterns (Cell Press) 3(5): 100484 (2022)
[2] Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui and Ramesh Jain. A Survey on Food Computing. ACM Computing Surveys (CSUR), 2019, 52(5): 92:1–92:36
[3] Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, and Shuqiang Jiang. Multi-Task Deep Relative Attribute Learning for Visual Urban Perception. IEEE Transactions on Image Processing (TIP), 2020, 29:657-669
[4] Weiqing Min, Shuhuan Mei, Zhuo Li and Shuqiang Jiang. A Two-Stage Triplet Network Training Framework for Image Retrieval. IEEE Transactions on Multimedia (TMM), 2020, 22(12):3128-3138
[5] Weiqing Min, Bing-Kun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui, Shuqiang Jiang. You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis. IEEE Transactions on Multimedia (TMM), 2018, 20(4):950-964
[6] Weiqing Min, Shuqiang Jiang, Ramesh Jain. Food Recommendation: Framework, Existing Solutions, and Challenges. IEEE Transactions on Multimedia (TMM), 2020, 22(10): 2659-2671
[7] Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu, Luis Herranz. Being a Supercook: Joint Food Attributes and Multi-Modal Content Modeling for Recipe Retrieval and Exploration. IEEE Transactions on Multimedia (TMM), 2017, 19(5): 1100-1113
[8] Weiqing Min, Bing-Kun Bao, Changsheng Xu, Mohammod Shamim Hossain. Cross-platform multi-modal topic modeling for personalized inter-platform recommendation. IEEE Transactions on Multimedia (TMM), 2015, 17 (10):1787-1801
[9] Weiqing Min, Changsheng Xu, Min Xu, Xian Xiao, Bing-Kun Bao. Mobile Landmark Search with 3D Models. IEEE Transactions on Multimedia (TMM), 2014, 16(3):623-636
[10] Weiqing Min, Bing-Kun Bao, Changsheng Xu. Multimodal Spatio-Temporal Theme Modeling for Landmark Analysis. IEEE Multimedia (IEEE MM), 2014, 21(3): 20-29 【最佳论文奖】
[11] Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang. Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition. ACM Multimedia (ACM MM, Full Paper), Nice, France, 2019-10-21至2019-10-25
[12] 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 (ACM MM, Full Paper), Mountain View, CA, USA, 2017-10-23至2017-10-27
[13] Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network. ACM Multimedia (ACM MM, Full Paper, Oral), Seattle, WA, USA, 2020-10-12至2020-10-16
[14] 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
[15] Wei Wang, Weiqing Min, Tianhao Li, Xiaoxiao Dong, Haisheng Li, Shuqiang Jiang. A review on vision-based analysis for automatic dietary assessment. Trends in Food Science & Technology, 2022, 122:223-237 (IF:12.563)
[16] Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo. Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition. IEEE Transactions on Image Processing (TIP), 2020, 29: 265-276
[17] Xinda Liu, Weiqing Min, Shuhuan Mei, Lili Wang, Shuqiang Jiang. Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach. IEEE Transactions on Image Processing (TIP), 2021, 30: 2003-2015
[18] Bing-Kun Bao, Weiqing Min, Teng Li, Changsheng Xu. Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering. IEEE Transactions Cybernetics (TCYB), 2015, 45(1): 15-28
[19] Yaohui Zhu, Weiqing Min, Shuqiang Jiang. Attribute-Guided Feature Learning for Few-Shot Image Recognition. IEEE Transactions on Multimedia (TMM), 2021, 23: 1200-1209
[20] Shuqiang Jiang, Weiqing Min, Shuhuan Mei. Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. IEEE Transactions on Multimedia (TMM), 2019, 21(6): 1609–1619
[21] Yanchao Zhang, Weiqing Min, Liqiang Nie, Shuqiang Jiang. Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction. IEEE Transactions on Multimedia (TMM), 2021, 23: 2917-2929
[22] Shuqiang Jiang, Weiqing Min, Yongqiang Lyu, Linhu Liu. Few-Shot Food Recognition via Multi-View Representation Learning. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020, 16(3): 87:1-87:20
[23] Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Shuqiang Jiang. LogoDet-3K: A Large-Scale Image Dataset for Logo Detection. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022, 18(1): 21:1-21:19
[24] 刘宇昕, 闵巍庆, 蒋树强, 芮勇. 多尺度拼图重构网络的食品图像识别. 软件学报, 2021 (接收)
[25] 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, 2016, 53(1):113-122 【领跑者5000-中国精品科技期刊顶尖学术论文】
[26] Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough. AAAI Conference on Artificial Intelligence (AAAI), Virtual Event, 2022-2-22至2022-3-1
[27] 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), Melbourne, Australia, 2017-8-19至2017-8-25
[28] Tianyu Zhang, Weiqing Min, Ying Zhu, Yong Rui, Shuqiang Jiang. An Egocentric Action Anticipation Framework via Fusing Intuition and Analysis. ACM Multimedia (ACM MM, Full Paper, Oral), Seattle, WA, USA, 2020-10-12至2020-10-16
[29] Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui. What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. International Joint Conferences on Artificial Intelligence (IJCAI) , Virtual Event, 2021-8-19至2021-8-26
[30] Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang. FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network. ACM Multimedia (ACM MM, Full Paper, Oral), Chengdu, China, 2021-10-20至2021-10-24
[31] 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. AAAI Conference on Artificial Intelligence (AAAI, Spotlight) , Virtual Event, 2020-2-7至2020-2-12
[32] Bing-Kun Bao, Changsheng Xu, Weiqing Min, Mohammod Shamim Hossain. Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Stream. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2015, 11(4): 54:1-54:21【最佳论文奖】
[33] Chao Liang, Changsheng Xu, Jian Cheng, Weiqing Min, Hanqing Lu. Script-to-Movie: A Computational Framework for Story Movie Composition. IEEE Trans. on Multimedia, vol. 15, no. 2, pp. 401-414, 2013
