Weiqing Min

  • PhD.
  • Associate Professor
  • Key Laboratory of Intelligent Information Processing,Institute of Computing Technology, Chinese Academy of Science, Beijing, China

  • Email: minweiqing@ict.ac.cn
  • Tel: 010-62600564
  • Address: No.6 Kexueyuan South Road Zhongguancun,Haidian District Beijing,China
  • Postcode :100190

CV •Google Scholar •DBLP •ResearchGate •Github• ORCID



I am currently an associate professor at the Key Laboratory of Intelligent Information Processing (IIP), Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). Prior to joining the ICT faculty, I was a postdoctoral researcher at the IIP of ICT, CAS and worked with Prof. Shuqiang Jiang. I received the Ph.D. degree from the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences under the supervision of Prof. Changsheng Xu.

My research is in the areas of multimedia content analysis and food computing.

I have authored and co-authored more than 60 peer-referenced papers in relevant journals and conferences, including IEEE Trans. on Pattern Analysis and Machine Intelligence, Patterns(Cell Press), ACM Computing Surveys, Trends in Food Science & Technology, IEEE Trans. on Image Processing, Food Chemistry, ACM MM, AAAI, IJCAI, etc. I am also the reviewer of many prestigious international journals including Nature Food, Patterns (Cell Press), IEEE Trans. on Image Processing, etc. I have served as one OC member in ACM MM2021/ICME 2022-2024 area chair. As the guest editor, I organized special issues on some international journals, including IEEE Trans. on Multimedia and Food Chemistry. I have served one PC member of many academic conferences, including ACM MM, CVPR, ICCV, AAAI, IJCAI, etc. I am one distinguished member of CCF, and senior member of IEEE, CSIG and Chinese Institute of Food Science and Technology. I am the recipient of 2024 Beijing Outstanding Youth Fund, 2023 CSIG Young Scientists Award, Second Prize of 2020 Beijing Science and Technology Progress Award, 2020 ACM CHINA SIGMM RISING STAR AWARD. I am also the recipient of 2016 ACM TOMM Nicolas D. Georganas Best Paper Award and 2017 IEEE Multimedia Magazine Best Paper Award. .

I am looking for highly-motivated students to work with me on the exciting area of Food Computing. The candidates are expected to have a strong background in programming, mathematics and English. The candidates with fields in physics, food science and engineering are also welcome. I am able to take on 1 Master student admitted every year. Intern positions are also available, and are expected to stay for at least half one year. Please email me (minweiqing@ict.ac.cn) with your CV.

News

  • The paper "Dietary Recommendation via Integrating Nutritional Knowledge and Preferences-health Multi-objective Optimization" has been accepted by Food Science.Links(2024-11-6)

  • The paper "Ingredient-Guided RGB-D Fusion Network for Nutritional Assessment" has been accepted by IEEE Transactions on AgriFood Electronics.(2024-10-25)

  • The paper "Machine Learning and Statistical Models to Predict All-cause Mortality in Type 2 Diabetes: Results from the UK Biobank Study" has been accepted in Diabetes & Metabolic Syndrome: Clinical Research & Reviews.(2024-10-3)

  • The paper “Large Scale Visual Food Recognition” was selected as ESI highly cited paper.Links(2024-7-16)

  • The paper “Lightweight Food Recognition via Aggregation Block and Feature Encoding” has been accepted by ACM Transactions on Multimedia Computing Communications and Applications.(2024-7-14)

  • The paper “FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examination” has been published on arxiv.(2024-6-11)

  • The paper “Lightweight Food Image Recognition with Global Shuffle Convolution” has been accepted by IEEE Transactions on AgriFood Electronics.(2024-4-6)

  • The paper "Hash Food Image Retrieval Based on Enhanced Vision Transformer" has been accepted by Journal of Food Science.(2024-3-9)

  • The paper "Convolution-Enhanced Bi-Branch Adaptive Transformer with Cross-Task Interaction for Food Category and Ingredient Recognition" has been accepted by IEEE Transactions on Image Processing. (2024-2-18)

  • The paper "Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection" has been accepted by IEEE Transactions on Image Processing. (2024-1-25)

  • The paper "A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition" has been accepted by Nutrients. (2023-12-29)

  • The paper "Multi-state Ingredient Recognition via Adaptive Multi-centric Network" has been accepted by IEEE Transactions on Industrial Informatics. (2023-11-8)

  • The paper "Towards Egocentric Compositional Action Anticipation with Adaptive Semantic Debiasing" has been accepted for publication in ACM Transactions on Multimedia Computing Communications and Applications. (2023-10-22)

  • The paper "Ingredient Prediction via Context Learning Network with Class-Adaptive Asymmetric Loss" has been accepted by IEEE Transactions on Image Processing 2023.Links (2023-9-9)

  • The paper "Deep learning-based near-infrared hyperspectral imaging for food nutrition estimation" has been accepted by Foods.Links (2023-8-22)

  • The paper "SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection" has been accepted by ACM MM2023. (2023-7-26)

  • The paper "Towards Food Image Retrieval via Generalization-oriented Sampling and Loss Function Design" has been accepted by ACM Transactions on Multimedia Computing Communications and Applications. (2023-5-22)

  • The paper "Vision-Based Fruit Recognition via Multi-Scale Attention CNN" has been accepted by Computers and Electronics in Agriculture. (2023-5-5)

  • The paper "Vision-based Food Nutrition Estimation via RGB-D Fusion Network" has been accepted by Food Chemistry. (2023-5-3)

  • IEEE TMM Special Issue on When Multimedia Meets Food: Multimedia Computing for Food Data Analysis and Applications due July 1, 2023, and the submission system for this TMM SI is open.Links (2023-4-27)

  • The paper"Large Scale Visual Food Recognition" has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. (2023-1-14)

  • The paper"A Survey on Future Action Anticipation in Videos" has been accepted by Chinese Journal of Computers on December 28, 2022. (2022-12-28)

  • The workshop “Food Computing Technologies and Applications” will be held in conjunction with the 19th Annual Meeting of Chinese Institute of Food Science and Technology (CIFST) on December 15, 2022, and please refer to the website for more details: Link (2022-12-12)

  • The paper “Food Image Recognition via Multi-scale Jigsaw and Reconstruction Network.” is accepted by Journal of Software.Links (2022-11-11)

  • Weiqing Min gave one talk on "Food computing " in the 4th Food Formula Innovation Forum in September 2022.PPT (2022-9-15)

  • IEEE TMM Special Issue on When Multimedia Meets Food: Multimedia Computing for Food Data Analysis and Applications due July 1, 2023, and please refer to the website for more details:Links (2022-8-25)

  • The paper “Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough.” is accepted by AAAI2022.pdf (2022-7-16)

  • The paper “Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction” is accepted by IEEE Transactions on Image Processing 2022.Links (2022-7-10)

  • The workshop “AI4Food: Food intelligent analysis and application” will be held in conjunction with ChinaMM2022, and please refer to the website for more details: Links (2022-6-30)

  • The paper “Applications of knowledge graphs for the food science and industry” is accepted by Patterns (Cell Press).(2022-3-8)

  • The paper “A review on vision-based analysis for automatic dietary assessment” is accepted by Trends in Food Science & Technology.(2022-2-13)

  • The paper “Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough” is accepted by AAAI2022.(2021-12-1)

  • The videos of the ICCV2021 workshop “LargeFineFoodAI: Large-Scale Fine-Grained Food AnalysIs” can be available. Links (2021-10-24)

  • I am elected as 2020 ACM CHINA SIGMM RISING STAR.(2021-7-31)

  • The paper “FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network” is accepted by ACM MM2021.(2021-7-5)

  • I was selected as one Member of the Youth Editorial Board of Smart Agriculture.Links(2021-5-26)

  • The paper “LogoDet-3K: A Large-Scale Image Dataset for Logo Detection” has been accepted by ACM TOMM2021.(2021-5-19)

  • The paper “What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation” has been accepted by IJCAI2021.(2021-4-30)

  • The workshop “LargeFineFoodAI: Large-Scale Fine-Grained Food AnalysIs” will be held in conjunction with ICCV2021.Links(2021-4-9)

  • The paper"A Survey on Food Image Recognition" has been accepted by Chinese Journal of Computers.（2021-3-9）

  • The paper"Food Image Recognition via Multi-scale Jigsaw and Reconstruction Network" has been accepted by Journal of Software.(2021-2-22)

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