Ming Li

ORCID: 0009-0001-4618-7988
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About
Contact & Profiles
Research Areas
  • Recommender Systems and Techniques
  • Image Retrieval and Classification Techniques
  • Nutritional Studies and Diet
  • Electrospun Nanofibers in Biomedical Applications
  • Nerve injury and regeneration
  • Catalysis and Hydrodesulfurization Studies
  • Advanced Image and Video Retrieval Techniques
  • Wound Healing and Treatments
  • Tissue Engineering and Regenerative Medicine
  • Catalysis for Biomass Conversion
  • Transcranial Magnetic Stimulation Studies
  • Tendon Structure and Treatment
  • Neuroscience and Neural Engineering
  • Multimodal Machine Learning Applications
  • Remote Sensing and Land Use
  • Advanced Graph Neural Networks
  • Chemical Synthesis and Reactions
  • Infrared Target Detection Methodologies
  • Remote-Sensing Image Classification
  • Nutrition, Health and Food Behavior

Wuhan University of Technology
2021-2024

Chongqing Normal University
2024

Sanya University
2023

Food computing, a newly emerging topic, is closely linked to human life through computational methodologies. Meal recommendation, food-related study about health, aims provide users meal with courses constrained from specific categories (e.g., appetizers, main dishes) that can be enjoyed as service. Historical interaction data, important user information, often used by existing models learn preferences. However, if user’s preferences favor less healthy meals, the model will follow preference...

10.1145/3643859 article EN ACM Transactions on Intelligent Systems and Technology 2024-02-05

Abstract Peripheral nerve injury often leads to the loss of neurological functions due slow regeneration rate and inefficient functional reconstruction. Current clinical treatments using guidance conduits (NGCs) still face challenges in providing a biomimetic microenvironment promote repair. Herein, decellularized extracellular matrix (dECM) is obtained from porcine Achilles tendon crosslinked with 3‐amino‐4‐methoxybenzoic acid grafted gelatin (PAMB‐G) obtain conductive hydrogels. Then,...

10.1002/adfm.202402698 article EN Advanced Functional Materials 2024-04-12

Cross-modal retrieval technology can help people quickly achieve mutual information between cooking recipes and food images. Both the embeddings of image recipe consist multiple representation subspaces. We argue that aspects in are related to regions image. It is challenging improve cross-modal quality by making full use implicit connection subspaces In this paper, we propose a multi-subspace alignment framework Our learns about images with multi-head attention networks; at subspace level...

10.1145/3459637.3482149 article EN 2021-10-26

A new function for a porous acidic ionic liquid polymer as solid catalyst Friedel–Crafts acylation.

10.1039/d3cy00303e article EN Catalysis Science & Technology 2023-01-01

10.1145/3626772.3657857 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2024-07-10

Extensive research efforts are being directed towards identifying alternatives to autografts for the treatment of peripheral nerve injuries (PNIs) with engineered conduits (NGCs) identified as having potential PNI patients. These NGCs, however, may not fulfill necessary criteria a successful transplant, such sufficient mechanical structural support and functionalization. To address aforementioned limitations present investigation explored development double cross-linked hydrogels (o-CSMA-E)...

10.1016/j.mtbio.2024.101324 article EN cc-by-nc-nd Materials Today Bio 2024-11-08

Recommendation systems are important in web3.0 as a technology to achieve high-quality interaction between people and the web. Meal recommender system, an application of bundle recommendation, aims provide courses from specific categories (e.g., appetizer, main dish) that enjoyed meal for user. Common methods include collaborative filtering, attention-based graph-based ones, etc. User-meal learning is core recommendation its key feature category-constrained. However, there no work compare...

10.1145/3624918.3625342 article EN 2023-11-23
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