- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Topic Modeling
- Generative Adversarial Networks and Image Synthesis
- Wound Healing and Treatments
- Natural Language Processing Techniques
- Hemostasis and retained surgical items
- Semantic Web and Ontologies
- Food Supply Chain Traceability
- Image Retrieval and Classification Techniques
- Neural Networks and Applications
- Electrocatalysts for Energy Conversion
- Cancer, Hypoxia, and Metabolism
- Silymarin and Mushroom Poisoning
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
- Catalysis and Hydrodesulfurization Studies
- Mycotoxins in Agriculture and Food
- Domain Adaptation and Few-Shot Learning
- Advanced battery technologies research
- Remote Sensing and Land Use
- Complex Network Analysis Techniques
- Catalytic Processes in Materials Science
- 3D Printing in Biomedical Research
- Simulation and Modeling Applications
Army Medical University
2024-2025
Xinqiao Hospital
2024-2025
Beijing University of Chemical Technology
2024
Northwestern Polytechnical University
2024
Chongqing Medical University
2024
Second Affiliated Hospital of Chongqing Medical University
2024
Dalian Medical University
2024
Alibaba Group (China)
2020-2023
Alibaba Group (United States)
2021
Henan University of Technology
2020
Abstract Hydrogel drug-delivery system that can effectively load antibacterial drugs, realize the in-situ drug release in microenvironment of wound infection to promote healing. In this study, a multifunctional hydrogel delivery (HA@TA-Okra) was constructed through integration hyaluronic acid methacrylate (HAMA) matrix with tannic (TA) and okra extract. The composition structural characteristics HA@TA-Okra its unique advantages treatment diverse wounds were systematically evaluated. TA, due...
In this paper, we address the text and image matching in cross-modal retrieval of fashion industry. Different from general domain, is required to pay much more attention fine-grained information images texts. Pioneer approaches detect region interests (i.e., RoIs) use RoI embeddings as representations. general, RoIs tend represent "object-level" images, while texts are prone describe detailed information, e.g. styles, attributes. thus not enough for matching. To end, propose FashionBERT,...
We present a new vision-language (VL) pre-training model dubbed Kaleido-BERT , which introduces novel kaleido strategy for fashion cross-modality representations from transformers. In contrast to random masking of recent VL models, we design alignment guided jointly focus more on image-text semantic relations. To this end, carry out five tasks, i.e., rotation, jigsaw, camouflage, grey-to-color, and blank-to-color self-supervised at patches different scale. is conceptually simple easy extend...
Enhancing the catalytic efficiency of methanol electro-oxidation reaction (MOR) holds paramount importance in expediting commercialization direct fuel cells (DMFCs).
Abstract Background Due to vasculature injury and increased oxygen consumption, the early wound microenvironment is typically in a hypoxic state. We observed enhanced cell migration ability under short-term hypoxia. CCL2 belongs CC chemokine family was found be wounds enriched extracellular signal-regulated kinase (ERK)1/2 pathway our previous study. However, underlying mechanism through which CCL2-ERK1/2 regulates healing hypoxia remains unclear. Activation of epithelial–mesenchymal...
V can exist as three vanadium-based species, i.e. , doped III in LDHs laminates, intercalated VO 3 − between interlayers, and free an additive KOH electrolyte. The study shows their role altering the OER performance of NiFe-LDHs.
Existing Vision-Language Pretraining (VLP) methods have achieved remarkable improvements across a variety of vision-language tasks, confirming their effectiveness in capturing coarse-grained semantic correlations. However, capability for fine-grained understanding, which is critical many nuanced applications, remains limited. Prevailing VLP models often overlook the intricate distinctions expressing different modal features and typically depend on similarity holistic cross-modal...
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With the rapid development of economy and society, timely access to effective information is becoming more significant. Intelligence efficiency are salient features Smart City. Meanwhile, NASA World Wind, launched by National Aeronautics And Space Administration (NASA), an open source geographic software, suitable as a platform for In this paper, we mainly introduce applications Wind in Internet things virtual reality, demonstrate how use partially reconstruct 3D city achieve real-time...
In this paper, we address the text and image matching in cross-modal retrieval of fashion industry. Different from general domain, is required to pay much more attention fine-grained information images texts. Pioneer approaches detect region interests (i.e., RoIs) use RoI embeddings as representations. general, RoIs tend represent "object-level" images, while texts are prone describe detailed information, e.g. styles, attributes. thus not enough for matching. To end, propose FashionBERT,...
Question Answering (QA) systems have been extensively studied in both academia and the research community due to their wide real-world applications. When building such industrial-scale QA applications, we are facing two prominent challenges, i.e., i) lacking a sufficient amount of training data learn an accurate model ii) requiring high inference speed for online serving. There generally ways mitigate above-mentioned problems. One is adopt transfer learning leverage information from other...
We present a new vision-language (VL) pre-training model dubbed Kaleido-BERT, which introduces novel kaleido strategy for fashion cross-modality representations from transformers. In contrast to random masking of recent VL models, we design alignment guided jointly focus more on image-text semantic relations. To this end, carry out five tasks, i.e., rotation, jigsaw, camouflage, grey-to-color, and blank-to-color self-supervised at patches different scale. Kaleido-BERT is conceptually simple...
Xiaodan Wang, Chengyu Lei Li, Zhixu Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 5: Industry Track). 2023.
The issue of fresh water resources which has limited development in majority places is one the most concerned focuses these days. This paper provides a novel approach to designing specific and rational strategy for prediction nationwide. statistics across China are from Official Web sites. By comparing different methods including GM (1, 1), Logistic Regression Model BP Neural Network, we establish method named GANN combines strengths BP. Besides, WSI (Water Shortage Index) created represent...
Same-style products retrieval plays an important role in e-commerce platforms, aiming to identify the same which may have different text descriptions or images. It can be used for similar from suppliers duplicate detection of one supplier. Common methods use image as detected object, but they only consider visual features and overlook attribute information contained textual descriptions, perform weakly less industries like machinery, hardware tools electronic component, even if additional...
<title>Abstract</title> Hydrogel drug-delivery system that can effectively load antibacterial drugs, realize the in-situ drug release in microenvironment of wound infection to promote healing. In this study, a multifunctional hydrogel delivery (HA@TA-Okra) was constructed through integration hyaluronic acid methacrylate (HAMA) matrix with tannic (TA) and okra extract. The composition structural characteristics HA@TA-Okra its unique advantages treatment diverse wounds were systematically...
The growing demand for larger-scale models in the development of \textbf{L}arge \textbf{L}anguage \textbf{M}odels (LLMs) poses challenges efficient training within limited computational resources. Traditional fine-tuning methods often exhibit instability multi-task learning and rely heavily on extensive Here, we propose MoDULA (\textbf{M}ixture \textbf{o}f \textbf{D}omain-Specific \textbf{U}niversal \textbf{L}oR\textbf{A}), a novel \textbf{P}arameter \textbf{E}fficient...
Existing Vision-Language Pretraining (VLP) methods have achieved remarkable improvements across a variety of vision-language tasks, confirming their effectiveness in capturing coarse-grained semantic correlations. However, capability for fine-grained understanding, which is critical many nuanced applications, remains limited. Prevailing VLP models often overlook the intricate distinctions expressing different modal features and typically depend on similarity holistic cross-modal...
The clustering analysis is an important unsupervised learning algorithm in data mining, which has a wide range of applications the field pattern recognition, image processing, and so on. existing algorithms generally need one or more pre-setting parameters, these parameters lack effective acquisition method are often determined empirically, great influence on performance robustness algorithm. In this paper, we propose new parameter-free We transform unclassified set into weighted complete...