主要研究方向为多媒体内容分析和食品计算。在IEEE Trans. on Pattern Analysis and Machine Intelligence（TPAMI）, Cell子刊Patterns, ACM Computing Surveys, Trends in Food Science & Technology, ICML，CVPR，ACL，ACM MM, AAAI等主流国际期刊与会议上发表学术论文80余篇。研究成果应用到美团等十余家企事业单位中，其中在美团的技术应用获美团最佳科研合作奖。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。获北京市杰青（2024），CSIG青年科学家奖（2023），北京市科技进步二等奖（2020），ACM中国SIGMM新星奖（2020）等荣誉。担任中国计算机学会多媒体专委会秘书长，担任IEEE Trans. on Multimedia和Pattern Recognition编委， Food Chemistry的客座编委，ACM MM2021/ICME2022-2025领域主席，是Nature Food，Nature Communication，Patterns (Cell Press)，Advanced Science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。
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, Shuqiang Jiang, Linhu Liu, Yong Rui and Ramesh Jain. A Survey on Food Computing. ACM Computing Surveys (CSUR) 52(5): 92:1–92:36 (2019). (IF: 30.4)
2. 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). (IF: 10.8)
3. Pengfei Zhou, Weiqing Min, Chaoran Fu, Ying Jin, Mingyu Huang, Xiangyang Li, Shuhuan Mei, and Shuqiang Jiang. FoodSky: A Food-oriented Large Language Model Can Pass the Chef and Dietetic Examination. Patterns (Cell Press), 6(5): 101234 (2025). (IF: 10.8)
4. Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Large Scale Visual Food Recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 45(8): 9932-9949 (2023). (IF: 20.4)
5. Sujuan Hou, Jiacheng Li, Weiqing Min, Jianxin Zhan, Mengmeng Zhang, Peng Li, Shuqiang Jiang. Large-scale Logo Detection. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 48(3): 2919-2935 (2026). (IF: 20.4)
6. Shuqiang Jiang, Yaohui Zhu, Chunlin Liu, Xinhang Song, Xiangyang Li and Weiqing Min. Dataset Bias in Few-shot Image Recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI). 45(1), 229-246 (2022). (IF: 20.4)
7. 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: 17.4)
8. Wang, Chongyu, Chenglong Lv, Yixin Gao, Yiyang He, Xiyao Zhang, Zhikun Zhang, Weiqing Min et al. Embodied artificial intelligence in the food supply chain: innovations, challenges, and future perspectives. Trends in Food Science & Technology (2026): 105698. (IF: 17.4)
9. Ying Jin, Weiqing Min, Mingyu Huang, Shuqiang Jiang. Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling. International Conference on Machine Learning (ICML), 2026. (Accepted). (CCF-A)
10. Dongjian Yu, Weiqing Min, Qian Jiang, Xing Lin, Xin Jin, Shuqiang Jiang. OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Accepted). (CCF-A, Highlight)
11. Mingyu Huang, Weiqing Min, Ying Jin, Yilin Wang, Shuqiang Jiang. From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent. The 64th Annual Meeting of the Association for Computational Linguistics (Findings of ACL), (2026). (Accepted). (CCF-A)
12. 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 2020: 6194-6201. (CCF-A, Spotlight)
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) 2020: 393-401. (CCF-A, Oral)
14. Tianyu Zhang, Weiqing Min, Ying Zhu, Yong Rui, Shuqiang Jiang. An Egocentric Action Anticipation Framework via Fusing Intuition and Analysis. ACM Multimedia (ACM MM). 2020: 402-410. (CCF-A, Oral)
15. Qiang Hou, Weiqing Min, Jiang 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). 2021: 4670-4679. (CCF-A, Oral)
16. Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang. Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition. ACM Multimedia (ACM MM) 2019: 1331-1339. (CCF-A)
17. 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) 2017: 402-410. (CCF-A)
18. Dongjian Yu, Weiqing Min, Xin Jin, Qian Jiang, Shuqiang Jiang. Spatial-Aware Multi-Modal Information Fusion for Food Nutrition Estimation. In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM). 2025: 8863–8871. (CCF-A)
19. Sujuan Hou, Zhihui Feng, Hao Xiong, Weiqing Min, Peng Li, Shuqiang Jiang. DSDGF-Nutri: A Decoupled Self-Distillation Network with Gating Fusion for Food Nutritional Assessment. In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM). 2025:5218–5227. (CCF-A)
20. Pengfei Zhou, Weiqing Min, Yang Zhang, Jiajun Song, Ying Jin, Shuqiang Jiang. SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection. ACM Multimedia (ACM MM). 2023: 8157-8166. (CCF-A)
21. 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 2022: 36 (2), 1518-1526. (CCF-A)
22. Zhao, Mengyao, Hao Xiong, Weiqing Min, Sujuan Hou, Mengmeng Zhang, and Shuqiang Jiang. "CondFoodGen: A Conditional Two-Stream Network for Controllable Food Image Generation." IEEE Trans. on Image Processing (TIP) (2026). (IF: 15.3)
23. 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 (TIP). 29(1): 657-669, 2020. (IF: 15.3)
24. Dongjian Yu, Weiqing Min et al. Food3D: Text-Driven Customizable 3D Food Generation with Gaussian Splatting. IEEE Trans. on Image Processing (TIP), 34:7290-7304, 2025. (IF: 15.3)
25. Pengfei Zhou, Weiqing Min, Jiajun Song, Yang Zhang, Shuqiang Jiang. Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection. IEEE Trans. on Image Processing (TIP). 2024, 33: 1285-1298. (IF: 15.3)
26. Mengjiang Luo, Weiqing Min, Zhiling Wang, Jiajun Song, Shuqiang Jiang. Ingredient Prediction via Context Learning Network with Class-Adaptive Asymmetric Loss. IEEE Trans. on Image Processing (TIP). 2023, 32: 5509 – 5523. (IF: 15.3)
27. Zhiling Wang, Weiqing Min, Zhuo Li, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction, IEEE Trans. on Image Processing (TIP). 2022, 31: 5214-5226. (IF: 15.3)
28. 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 Trans. on Image Processing (TIP). 30: 2003-2015 (2021). (IF: 15.3)
29. Yuxin Liu, Weiqing Min, Shuqiang Jiang, Yong Rui. Convolution-Enhanced Bi-Branch Adaptive Transformer with Cross-Task Interaction for Food Category and Ingredient Recognition. IEEE Trans. on Image Processing (TIP). 33：2572-2586 (2024). (IF: 15.3)
30. Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo. Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition. IEEE Trans. on Image Processing (TIP). 29(1): 265-276 (2020). (IF: 15.3)
31. Yaohui Zhu, Weiqing Min, Shuqiang Jiang. Attribute-Guided Feature Learning for Few-Shot Image Recognition. IEEE Trans. on Multimedia (TMM). 23: 1200-1209 (2021). (IF: 9.9)
32. Yanchao Zhang, Weiqing Min, Liqiang Nie, Shuqiang Jiang. Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction. IEEE Trans. on Multimedia (TMM). 23: 2917-2929 (2021). (IF: 9.9)
33. Shuqiang Jiang, Weiqing Min, Shuhuan Mei. Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. IEEE Trans. on Multimedia (TMM). 21(6): 1609–1619(2019). (IF: 9.9)
34. Weiqing Min, Shuhuan Mei, Zhuo Li and Shuqiang Jiang. A Two-Stage Triplet Network Training Framework for Image Retrieval. IEEE Trans. on Multimedia (TMM). 22(12), 3128-3138 (2020). (IF: 9.9)
35. Weiqing Min, Shuqiang Jiang, Ramesh C. Jain. Food Recommendation: Framework, Existing Solutions and Challenges. IEEE Trans. on Multimedia (TMM). 22(10): 2659-2671 (2020). (IF: 9.9)
36. 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 (TMM). 20(4):950-964 (2018). (IF: 9.9)
37. Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu, Luis Herranz. Being a Super Cook: Joint Food Attributes and Multi-Modal Content Modeling for Recipe Retrieval and Exploration. IEEE Trans. on Multimedia (TMM). 19(5): 1100-1113 (2017). (IF: 9.9)
38. Weiqing Min, Bing-Kun Bao, Changsheng Xu. Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation. IEEE Trans. on Multimedia (TMM). 17(10): 1787-1801 (2015). (IF: 9.9)
39. Weiqing Min, Changsheng Xu, Min Xu, Xian Xiao, Bing-Kun Bao. Mobile Landmark Search with 3D Models. IEEE Trans. on Multimedia (TMM). 16(3):623-636 (2014). (IF: 9.9)
40. Chao Liang, Changsheng Xu, Jian Cheng, Weiqing Min, Hanqing Lu. Script-to-Movie: A Computational Framework for Story Movie Composition. IEEE Trans. on Multimedia (TMM). vol. 15, no. 2, pp. 401-414 (2013). (IF: 9.9)
41. Min Wen, Jiajun Song, Weiqing Min, Weimin Xiao, Lin Han, Shuqiang Jiang. Multi-state Ingredient Recognition via Adaptive Multi-centric Network. IEEE Transactions on Industrial Informatics (TII). 20(4):5692-5701, 2024. (IF: 9.8)
42. 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 (TCYB) 45(1): 15-28 (2015). (IF: 11.3)
43. X. Wang, W. Min, S. Liu, G. Sheng and S. Jiang. SyMFood: Synergistic Multi-Modal Prompting for Fine-Grained Zero-Shot Food Detection. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), DOI: 10.1109/TCSVT.2026.3668226. (IF: 10.8)
44. Xinda Liu, Qinyu Zhang, Weiqing Min, Guohua Geng, Shuqiang Jiang. Structured-condensed prompt tuning in vision-language models for fine-grained image recognition. Pattern Recognition (2026): 113610. (IF: 9.1)
45. Xinda Liu, Weiqing Min, Shuqiang Jiang. Solutions and Challenges in AI-based Pest and Disease Recognition. Computers and Electronics in Agriculture (CEA) 238 (2025). (IF: 10.3)
46. Weiqing Min, Zhiling Wang, Jiahao Yang, Chunlin Liu, Shuqiang Jiang. Vision-based fruit recognition via multi-scale attention CNN. Computers and Electronics in Agriculture (CEA). 210: 107911 (2023). (IF: 10.3)
47. J Ma, Y Wan, W Min, Z Ma, L Tan, S Jiang. Frontiers and advances of deep learning-based fruit and vegetable image analysis. Computers and Electronics in Agriculture (CEA) 241, 111256. (IF: 10.3)
48. Wenjing Shao, Weiqing Min, Sujuan Hou, Mengjiang Luo, Tianhao Li and Yuanjie Zheng and Shuqiang Jiang. Vision-based Food Nutrition Estimation via RGB-D Fusion Network. Food Chemistry, 2023, 424: 136309. (IF: 10.4)
49. Qing Li, Huawei Ma, Weiqing Min,Yang Wang, Ran Zhao, Yongjie Zhou, Yuqing Tan, Yongkang Luo, Hui Hong. Recent Advances in Fish Cutting: From Cutting Schemes to Automatic Technologies and Internet of Things Innovations. Comprehensive Reviews in Food Science and Food Safety 23.6 (2024): e70039. (IF: 15.6)
50. Shenglong Wang, Guorui Sheng, Hongfei Yan, Weiqing Min, Shuqiang Jiang. A comparative study of vision–language models for food ingredient recognition and nutrient estimation. Current Research in Food Science. 12 (2026): 101405. (IF: 7.7)
