Xiaobo Xia

ORCID: 0000-0003-1720-7860
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About
Contact & Profiles
Research Areas
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Machine Learning and Data Classification
  • Retinal Development and Disorders
  • Tea Polyphenols and Effects
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Algorithms
  • Music and Audio Processing
  • Heme Oxygenase-1 and Carbon Monoxide
  • Plant-Microbe Interactions and Immunity
  • Human Pose and Action Recognition
  • Inflammasome and immune disorders
  • Proteoglycans and glycosaminoglycans research
  • Connexins and lens biology
  • Mycotoxins in Agriculture and Food
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Plant Pathogens and Fungal Diseases
  • Mitochondrial Function and Pathology
  • Peroxisome Proliferator-Activated Receptors
  • Corneal surgery and disorders
  • Advanced Vision and Imaging
  • Ocular Oncology and Treatments
  • Adversarial Robustness in Machine Learning
  • Neuroscience and Neuropharmacology Research

Xiangya Hospital Central South University
2016-2025

Central South University
2016-2025

Hunan University
2020-2025

Anhui Agricultural University
2019-2024

Nanjing Agricultural University
2022-2024

The University of Sydney
2019-2023

National Clinical Research Center for Digestive Diseases
2022

Ministry of Agriculture and Rural Affairs
2022

Jiangsu Academy of Agricultural Sciences
2022

First Affiliated Hospital of Zhengzhou University
2014

Deep networks have strong capacities of embedding data into latent representations and finishing following tasks. However, the largely come from high-quality annotated labels, which are expensive to collect. Noisy labels more affordable, but result in corrupted representations, leading poor generalization performance. To learn robust handle noisy we propose selective-supervised contrastive learning (Sel-CL) this paper. Specifically, Sel-CL extend supervised (Sup-CL), is powerful...

10.1109/cvpr52688.2022.00041 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022-06-01

Abstract Glaucoma can result in retinal ganglion cell (RGC) death and permanently damaged vision. Pathologically high intraocular pressure (ph-IOP) is the leading cause of vision during glaucoma; however, controlling ph-IOP alone does not entirely prevent loss glaucomatous RGCs, underlying mechanism remains elusive. In this study, we reported an increase ferric iron patients with acute primary angle-closure glaucoma (the most typical damage) compared average population by analyzing free...

10.1038/s41418-022-01046-4 article EN cc-by Cell Death and Differentiation 2022-08-06

In label-noise learning, \textit{noise transition matrix}, denoting the probabilities that clean labels flip into noisy labels, plays a central role in building \textit{statistically consistent classifiers}. Existing theories have shown matrix can be learned by exploiting \textit{anchor points} (i.e., data points belong to specific class almost surely). However, when there are no anchor points, will poorly learned, and those current classifiers significantly degenerate. this paper, without...

10.48550/arxiv.1906.00189 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Learning with the \textit{instance-dependent} label noise is challenging, because it hard to model such real-world noise. Note that there are psychological and physiological evidences showing we humans perceive instances by decomposing them into parts. Annotators therefore more likely annotate based on parts rather than whole instances, where a wrong mapping from classes may cause instance-dependent Motivated this human cognition, in paper, approximate exploiting \textit{part-dependent}...

10.48550/arxiv.2006.07836 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Human motion prediction is a classical problem in computer vision and graphics, which has wide range of practical applications. Previous effects achieve great empirical performance based on an encoding-decoding style. The methods this style work by first encoding previous motions to latent representations then decoding the into predicted motions. However, practice, they are still unsatisfactory due several issues, including complicated loss constraints, cumbersome training processes, scarce...

10.1109/iccv51070.2023.00875 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2023-10-01

Abstract Fatty acid binding proteins (FABPs) are a class of small molecular mass intracellular lipid chaperone that bind to hydrophobic ligands, such as long‐chain fatty acids. FABP5 expression was significantly upregulated in the N ‐methyl‐ d ‐aspartic (NMDA) model, microbead‐induced chronic glaucoma and DBA/2J mice. Previous studies have demonstrated can mediate mitochondrial dysfunction oxidative stress ischemic neurons, but role cell death retina NMDA injury models is unclear. In this...

10.1096/fj.202400435r article EN The FASEB Journal 2025-01-10

Pericyte degeneration is an early event in diabetic retinopathy and plays important role progression of retinopathy. Clinical studies have shown that fenofibrate, a peroxisome proliferator-activated receptor α (PPARα) agonist, has robust therapeutic effects on type 2 patients. We evaluated the protective effect PPARα against pericyte loss In streptozotocin-induced mice, fenofibrate treatment significantly ameliorated retinal acellular capillary formation loss. contrast, PPARα(-/-) mice with...

10.1016/j.ajpath.2014.06.021 article EN cc-by-nc-nd American Journal Of Pathology 2014-08-07

In learning with noisy labels, the sample selection approach is very popular, which regards small-loss data as correctly labeled during training. However, losses are generated on-the-fly based on model being trained and thus large-loss likely but not certainly to be incorrect. There actually two possibilities of a point: (a) it mislabeled, then its loss decreases slower than other data, since deep neural networks "learn patterns first"; (b) belongs an underrepresented group has been selected...

10.48550/arxiv.2106.00445 preprint EN other-oa arXiv (Cornell University) 2021-01-01

Abstract Radiation-induced optic neuropathy (RION) is a devastating complication following external beam radiation therapy (EBRT) that leads to acute vision loss. To date, no efficient, available treatment for this complication, due partly the lack of understanding regarding developmental processes behind RION. Here, we report caused changes in mitochondrial dynamics by regulating fission proteins dynamin-related protein 1 (Drp1) and fission-1 (Fis1). Concurrent with an excessive production...

10.1038/s41419-020-02922-y article EN cc-by Cell Death and Disease 2020-09-03

Glaucoma is a leading cause of irreversible blindness. In this study, we investigated if transplanted stem cells are able to rescue glaucoma mouse model with transgenic myocilin Y437H mutation and explored the possible mechanisms. Human trabecular meshwork (TMSCs) were intracamerally which reduced intraocular pressure, increased outflow facility, protected retinal ganglion preserved their function. TMSC transplantation also significantly TM cellularity, promoted secretion from into aqueous...

10.7554/elife.63677 article EN cc-by eLife 2021-01-28

Glaucoma is the leading cause of irreversible blindness worldwide. Emerged evidence has shown that glaucoma considered an immune system related disorder. The gut largest organ in human body and microbiota (GM) plays role maintaining homeostasis. But, how GM influences remains unrevealed. This study aimed at investigating key molecules/pathways mediating to provide new biomarkers for future predictive, preventive, personalized medicine.Datasets from primary open-angle (POAG) patients...

10.1007/s13167-023-00336-2 article EN cc-by The EPMA Journal 2023-08-11

This study aims to systematically elucidate the burden of blindness and vision loss (BVL) attributable smoking from 1990 2021 forecast trends in BVL over next decade. We extracted data on years lived with disability (YLDs) age-standardized YLDs rate (ASYR) related caused by smoking, including cataracts age-related macular degeneration (AMD), Global Burden Disease (GBD) database for 2021. These were disaggregated age, gender, sociodemographic index (SDI), region, country. Temporal...

10.1186/s12889-025-21573-2 article EN cc-by-nc-nd BMC Public Health 2025-02-04

Text-to-3D generation automates 3D content creation from textual descriptions, which offers transformative potential across various fields. However, existing methods often struggle to align generated with human preferences, limiting their applicability and flexibility. To address these limitations, in this paper, we propose DreamDPO, an optimization-based framework that integrates preferences into the process, through direct preference optimization. Practically, DreamDPO first constructs...

10.48550/arxiv.2502.04370 preprint EN arXiv (Cornell University) 2025-02-05

Abstract Glaucoma is the leading cause of irreversible vision loss, and reducing elevated intraocular pressure currently only effective clinical treatment. The trabecular meshwork main resistance site for aqueous outflow that maintains pressure. In this study, we transplanted human stem cells (TMSCs) intracamerally into mice received laser photocoagulation over a 180° arc meshwork. TMSCs preferentially homed integrated to laser-damaged region expressed differentiated cell markers at 2 4...

10.1038/s42003-018-0227-z article EN cc-by Communications Biology 2018-11-29
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