A5100324487- Medical Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Domain Adaptation and Few-Shot Learning
- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Multimodal Machine Learning Applications
- Cancer-related molecular mechanisms research
- Music and Audio Processing
- Speech and Audio Processing
- Corneal surgery and disorders
- Genomics and Phylogenetic Studies
- Brain Tumor Detection and Classification
- Retinal and Optic Conditions
- Membrane Separation Technologies
- Advanced Numerical Analysis Techniques
- Glioma Diagnosis and Treatment
- Advanced Clustering Algorithms Research
- Advanced Vision and Imaging
- Wave and Wind Energy Systems
- Maritime Transport Emissions and Efficiency
- Text Readability and Simplification
Guangdong Ocean University
2021-2025
Northwestern Polytechnical University
2015-2024
Sichuan Agricultural University
2024
Ministry of Agriculture and Rural Affairs
2024
University of South China
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
University of Michigan
2023
Politecnico di Milano
2023
University of Shanghai for Science and Technology
2023
Guangdong University of Technology
2022
Vehicle trajectories are one of the most important data in location-based services. The quality directly affects However, real applications, trajectory not always sampled densely. In this paper, we study problem recovering entire route between two distant consecutive locations a trajectory. Most existing works solve without using those informative historical or it an empirical way. We claim that data-driven and probabilistic approach is actually more suitable as long sparsity can be well...
Glaucoma is one of the leading causes irreversible blindness. Segmentation optic disc (OD) and cup (OC) on fundus images a crucial step in glaucoma screening. Although many deep learning models have been constructed for this task, it remains challenging to train an OD/OC segmentation model that could be deployed successfully different healthcare centers. The difficulties mainly comes from domain shift issue, i.e., collected at these centers usually vary greatly tone, contrast, brightness. To...
Self-supervised learning (SSL) has long had great success in advancing the field of annotation-efficient learning. However, when applied to CT volume segmentation, most SSL methods suffer from two limitations, including rarely using information acquired by different imaging modalities and providing supervision only bottleneck encoder layer. To address both we design a pretext task align each 3D corresponding 2D generated X-ray image extend self-distillation deep self-distillation. Thus,...
While MLLMs perform well on perceptual tasks, they lack precise multimodal alignment, limiting performance. To address this challenge, we propose Vision Dynamic Embedding-Guided Pretraining (VDEP), a hybrid autoregressive training paradigm for MLLMs. Utilizing dynamic embeddings from the MLP following visual encoder, approach supervises image hidden states and integrates tokens into training. Existing primarily focused recovering information textual inputs, often neglecting effective...
Abstract The objective of the paper is to present global performance large (15 MW or more) Floating Wind Semi-Submersible (FWSS) platforms under combined wind, waves and current loads. FWSS platform an in-house semi-submersible design with three side columns on pontoons one center column incorporating enhanced stability outrigger pontoons, low draft, airgap. discusses efficient use cyber-physical model tests arrive at reliable results demonstrate a scalable as turbine size becomes larger....
The widespread use of lead (Pb) has led to serious environmental and human health problems worldwide. application oxide nanoparticles (CeO2 NPs) in alleviating abiotic stress plants received extensive attention. In this study, 50 mg·L−1 CeO2 NPs can improve Pb resistance promote rice growth. Specifically, study observed that increased the activity antioxidant enzymes peroxidase (POD), catalase (CAT), ascorbate (APX), but difference did not reach a significant level. At same time, upregulated...
Cross-domain joint segmentation of optic disc and cup on fundus images is essential, yet challenging, for effective glaucoma screening. Although many unsupervised domain adaptation (UDA) methods have been proposed, these can hardly achieve complete alignment, leading to suboptimal performance. In this paper, we propose a triple-level alignment (TriLA) model address issue by aligning the source target domains at input level, feature output level simultaneously. At learnable Fourier (LFDA)...
Coelomactra antiquata is an important aquatic economic shellfish with high medicinal value. However, because C. has no reference genome, a lot of molecular biology research cannot be carried out, so the analysis its transcripts step to study regulatory genes various substances in antiquata. In present study, we conducted first full-length transcriptome by using PacBio single-molecule real-time (SMRT) sequencing technology. The results identified total 39,209 unigenes average length 2,732 bp,...
The images and sounds that we perceive undergo subtle but geometrically consistent changes as rotate our heads. In this paper, use these cues to solve a problem call Sound Localization from Motion (SLfM): jointly estimating camera rotation localizing sound sources. We learn tasks solely through self-supervision. A visual model predicts pair of images, while an audio the direction sources binaural sounds. train models generate predictions agree with one another. At test time, can be deployed...
It is well-known that(see e.g. Proposition 1.3.17 in [10]) the normalized principal eigenfunction $ \phi_1 of single elliptic eigenvalue problem$ -d\Delta \phi -c(x)\phi = \lambda\phi $with Robin boundary condition converges to 0 as d\rightarrow 0^+ locally uniformly \{x\in\bar\Omega|\; c(x)<\max_{\bar{\Omega}} c(x)\} $. The method used [10] designed for equation and seems difficult be applied systems directly. In this paper, we extend conclusion above system by introducing a different approach.
Universal segmentation models offer significant potential in addressing a wide range of tasks by effectively leveraging discrete annotations. As the scope and modalities expands, it becomes increasingly important to generate strategically position task- modal-specific priors within universal model. However, existing often overlook correlations between different priors, optimal placement frequency these remain underexplored. In this paper, we introduce MedUniSeg, prompt-driven model designed...
Aiming at the problem of emergency detection and search in national marine related professional fields, a Monte-Carlo method based multiple Air-Water Amphibious Robots collaborative for underwater targets is studied this paper. Firstly, cooperative formation was established, overlapping shadow areas different arrays were explored, conditions set area formation. After simulation research, parameters each selected assigned, then process designed to solve problem. Finally, proposed used...
Parameter-efficient fine-tuning (PEFT) techniques have emerged to address issues of overfitting and high computational costs associated with fully in the paradigm self-supervised learning. Mainstream methods based on PEFT involve adding a few trainable parameters while keeping pre-trained backbone fixed. These achieve comparative, often superior, performance fine-tuning, demonstrating powerful representation ability backbone. Despite its success, these typically ignore initialization new...