Publications:

2024:

  1. Yancun Yang, Weiqing Min, Jingru Song, Guorui Sheng, Lili Wang, Shuqiang Jiang. Lightweight Food Recognition via Aggregation Block and Feature Encoding ACM Transactions on Multimedia Computing, Communications and Applications. DOI: 10.1145/3680285, 2024. [link] [code]
  2. Guorui Sheng, Weiqing Min, Tao Yao, Jingru Song, Yancun Yang, Lili Wang, Shuqiang Jiang. Lightweight Food Image Recognition with Global Shuffle Convolution. IEEE Transactions on AgriFood Electronics. DOI: 10.1109/TAFE.2024.3386713, 2024. [link] [code]
  3. 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 Transactions on Image Processing, DOI: 10.1109/TIP.2024.3374211, 2024. [link] [code]
  4. 曹品丹,闵巍庆,宋佳骏,盛国瑞,杨延村,王丽丽,蒋树强.基于增强Vision Transformer的哈希食品图像检索[J/OL].食品科学:1-12[2024-03-17]. [link] [code]
  5. Pengfei Zhou, Weiqing Min, Jiajun Song, Yang Zhang, and Shuqiang Jiang. Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection. IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2024.3360899, 2024 [link] [code]
  6. Guorui Sheng, Weiqing Min, Xiangyi Zhu, Liang Xu, Qingshuo Sun, Yancun Yang, Lili Wang, Shuqiang Jiang. A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition. Nutrients, DOI: 10.3390/nu16020200, 2024. [link] [code]

2023:

  1. 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, DOI: 10.1109/TII.2023.3333935, 2023. [link] [dataset]
  2. Pengfei Zhou, Weiqing Min, Yang Zhang, Jiajun Song, Ying Jin, Shuqiang Jiang. SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection. ACM International Conference on Multimedia, DOI: 10.1145/3581783.3612661, 2023. [link] [code]
  3. Mengjiang Luo, Weiqing Min, Zhiling Wang, Jiajun Song, Shuqiang Jiang. Ingredient Prediction via Context Learning Network with Class-Adaptive Asymmetric Loss. IEEE Transactions on Image Processing, DOI:10.1109/TIP.2023.3318958, 2023. [link] [code]
  4. Tianhao Li, Wensong Wei, Shujuan Xing, Weiqing Min, Chunjiang Zhang and Shuqiang Jiang. Deep Learning-Based Near-Infrared Hyperspectral Imaging for Food Nutrition Estimation. Foods, DOI:10.3390/foods12173145, 2023. [link]
  5. Jiajun Song, Zhuo li, Weiqing Min, Shuqiang Jiang. Towards Food Image Retrieval via Generalization-oriented Sampling and Loss Function Design. ACM Transactions on Multimedia Computing, Communications and Applications, DOI:10.1145/3600095, 2023. [link] [code]
  6. Weiqing Min, Zhiling Wang, Jiahao Yang, Chunlin Liu and Shuqiang Jiang. Vision-based fruit recognition via multi-scale attention CNN. Computers and Electronics in Agriculture, DOI:10.1016/j.compag.2023.107911, 2023. [link] [code]
  7. 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, DOI:10.1016/j.foodchem.2023.136309, 2023. [link] [code]
  8. Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Large Scale Visual Food Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), DOI:10.1109/TPAMI.2023.3237871, 2023. [link] [code]

2022:

  1. 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 Transactions on Image Processing 2022: 5214-5226 [link]
  2. 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: 1518-1526 [link]
  3. 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) [link]
  4. 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. (JCR 1区, IF:16.002) [link]
  5. Jiajun Song, Weiqing Min, Yuxin Liu, Zhuo Li, Shuqiang Jiang, Yong Rui: A Noise-robust Locality Transformer for Fine-grained Food Image Retrieval. MIPR 2022: 348-353 [link]
  6. 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 [pdf]
  7. 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, 2022, 33(11): 4379-4395 [link]

2021:

  1. Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui. What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. IJCAI，2021: 1316-1322. [pdf]
  2. 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, 2021: 4670-4679. (2021 Oral) [pdf] [dataset]
  3. 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 30(): 2003-2015(2021). DOI 10.1109/TIP.2021.3049334. [pdf] [dataset]

2020:

  1. Shuqiang Jiang, Weiqing Min. Food Computing for Multimedia. ACM Multimedia,2020: 4782-4784, (2020 Oct) [link]
  2. Shuqiang Jiang, Weiqing Min, Yongqiang Lyu, Linhu Liu. Few-Shot Food Recognition via Multi-View Representation. ACM Transactions on Multimedia Computing, Communications and Applications, 16, 3, Article 87, 20 pages(2020) [pdf] [code]
  3. Shuqiang Jiang, Weiqing Min, Linhu Liu and Zhengdong Luo. Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition. IEEE Transactions on Image Processing, 29: 265-276 (2020) [pdf] [models]
  4. Lv Yongqiang, Min Weiqing, Duan hua, Jiang Shuqiang. Few-Shot Food Recognition via Triplet Network with Relation Network. Computer Science, 47(1): 136-143 (2020) [pdf]
  5. 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,2020: 393-401, (2020 Oral) [pdf] [code and dataset]
  6. Tianyu Zhang, Weiqing Min, Ying Zhu, Yong Rui, Shuqiang Jiang, An Egocentric Action Anticipation Framework via Fusing Intuition and Analysis. ACM Multimedia,2020: 402-410, (2020 Oral) [pdf]

2019:

  1. Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, Ramesh C. Jain. A Survey on Food Computing. ACM Computing Surveys, 52(2): 92:1–92:36 (2019) [pdf]
  2. Weiqing Min, Linhu Liu, Zhengdong Luo and Shuqiang Jiang. Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition. ACM Multimedia, 1331-1339 (2019) [pdf] [code and dataset]
  3. Weiqing Min,Shuqiang Jiang and Ramesh Jain. Food Recommendation: Framework, Existing Solutions and Challenges. IEEE Transactions on Multimedia, 22(10): 2659-2671 (2019) [pdf]

2018:

  1. Weiqing Min, Bingkun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui and Shuqiang Jiang. You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis. IEEE Transactions on Multimedia, 20(4): 950-964 (2018) [pdf] [dataset]
  2. Luis Herranz, Weiqing Min and Shuqiang Jiang. Food recognition and recipe analysis: integrating visual content, context and external knowledge. arXiv preprint arXiv:1801.07239 (2018) [pdf]

2017:

  1. Luis Herranz, Shuqiang Jiang and Ruihan Xu. Modeling Restaurant Context for Food Recognition. IEEE Transactions on Multimedia, 19(2): 430-440 (2017) [pdf]
  2. Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu and Luis Herranz. Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. IEEE Transactions on Multimedia, 19(5): 1100-1113 (2017) [pdf] [dataset]
  3. Weiqing Min, Shuqiang Jiang, Shuhui Wang, Jitao Sang and Shuhuan Mei. A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Attributes. ACM Multimedia, 402-410 (2017) [pdf]

2016:

  1. Huayang Wang, Weiqing Min, Xiangyang Li and Shuqiang Jiang. Where and What to Eat: Simultaneous Restaurant and Dish Recognition from Food Image. PCM (1): 520-528 (2016) [pdf]

2015:

  1. Ruihan Xu, Luis Herranz, Shuqiang Jiang, Shuang Wang, Xinhang Song and Ramesh C. Jain. Geolocalized Modeling for Dish Recognition. IEEE Transactions Multimedia, 17(8): 1187-1199 (2015) [pdf]
  2. Luis Herranz, Ruihan Xu and Shuqiang Jiang. A probabilistic model for food image recognition in restaurants. IEEE International Conference on Multimedia and Expo, 1-6 (2015) [pdf]

2014:

  1. Xinhang Song, Shuqiang Jiang, Ruihan Xu and Luis Herranz. Semantic Features for Food Image Recognition with Geo-Constraints. IEEE International Conference on Data Mining Workshops, 1020-1025 (2014) [pdf]