19 citations · 45 across the 11 of their papers we have counts for
11 papers
Quantifying Hidden Salt for Precision Healthcare: Sodium Assessment via Joint-Factor Retrieval and Chain-of-Thought Inference
Mingyu Huang, Weiqing Min, Yuehui Fang +2
Precision healthcare, particularly for conditions like hypertension and cardiovascular disease, necessitates monitoring of dietary sodium intake. However, tracking this is hindered…
Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
Ying Jin, Weiqing Min, Mingyu Huang +1
A sustainable diet represents a multi-dimensional synergy among four essential pillars: nutrition adequacy, economic affordability, cultural acceptability, and environmental respec…
DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding
Yilin Wang, Haochen Shi, Guanyu Chen +4
Food segmentation is essential for applications such as intelligent catering, dietary assessment, and recommendation. However, existing benchmarks fail to capture the complexity of…
From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
Mingyu Huang, Weiqing Min, Ying Jin +2
Personalized glucose regulation remains a central yet unresolved challenge in precision nutrition, as postprandial glucose response varies substantially across individuals. Existin…
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition
Xinda Liu, Qinyu Zhang, Weiqing Min +2
Fine-grained image recognition poses a significant challenge due to the substantial expertise and effort required for manual annotation. Vision-language models (VLMs) like CLIP pro…
RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Junsong Wang, Weiqing Min, Guorui Sheng +3
Fine-grained food image retrieval is a key task in computational gastronomy, with applications in food traceability, dietary monitoring, and smart catering systems. Although hashin…
OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion
Dongjian Yu, Weiqing Min, Qian Jiang +3
Accurate estimation of food nutrition plays a vital role in promoting healthy dietary habits and personalized diet management. Most existing food datasets primarily focus on Wester…
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
Pengfei Zhou, Weiqing Min, Jiajun Song +2
Food computing brings various perspectives to computer vision like vision-based food analysis for nutrition and health. As a fundamental task in food computing, food detection need…
From Plate to Production: Artificial Intelligence in Modern Consumer-Driven Food Systems
Weiqing Min, Pengfei Zhou, Leyi Xu +8
Global food systems confront the urgent challenge of supplying sustainable, nutritious diets in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringi…
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection
Pengfei Zhou, Weiqing Min, Yang Zhang +3
Food detection is becoming a fundamental task in food computing that supports various multimedia applications, including food recommendation and dietary monitoring. To deal with re…
Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection
Baisong Zhang, Weiqing Min, Jing Wang +4
Recently, logo detection has received more and more attention for its wide applications in the multimedia field, such as intellectual property protection, product brand management,…