A5104386836- Advanced biosensing and bioanalysis techniques
- Advanced X-ray and CT Imaging
- Luminescence and Fluorescent Materials
- Photonic Crystals and Applications
- Digital Media Forensic Detection
- Medical Image Segmentation Techniques
- Mass Spectrometry Techniques and Applications
- Music and Audio Processing
- Speech and Audio Processing
- Effects and risks of endocrine disrupting chemicals
- Advanced Chemical Sensor Technologies
- Radiomics and Machine Learning in Medical Imaging
- Microplastics and Plastic Pollution
- Gold and Silver Nanoparticles Synthesis and Applications
- Climate Change and Health Impacts
- Insect Pheromone Research and Control
- Medical Imaging and Analysis
- Water Quality Monitoring and Analysis
- Advanced Biosensing Techniques and Applications
- Lanthanide and Transition Metal Complexes
- Air Quality and Health Impacts
- Medical Imaging Techniques and Applications
- Recycling and Waste Management Techniques
- Pharmaceutical and Antibiotic Environmental Impacts
- Photodynamic Therapy Research Studies
Zhengzhou University
2023-2025
Hong Kong Baptist University
2023-2024
University of Technology Sydney
2020
Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the help of contrastive learning, which assumes only audio and visual contents from same are positive samples for each other. However, assumption would suffer false negative real-world training. For example, an sample, treating class as may mislead model therefore harm learned representations (e.g., a siren wailing...
The broad application of plastic products has resulted in a considerable release microplastics (MPs) into the ecosystem. While MPs other environmental matrices (e.g., soil and water) have been studied for long time, atmospheric fine particulate matter (PM2.5)-bound are rarely investigated due to lack an appropriate analytical approach. prevalently used visual spectroscopic means optical microscopy, Fourier-transform infrared spectroscopy, Raman spectroscopy) suffer from obvious drawbacks...
Fine particulate matter (PM 2.5 ) is globally recognized for its adverse implications on human health. Yet, remain limited the individual contribution of particular PM components to toxicity, especially considering regional disparities. Moreover, prevention solutions -associated health effects are scarce. In present study, we comprehensively characterized and compared primary constituents their altered metabolites from two locations: Taiyuan Guangzhou. Analysis year-long samples revealed 84...
N-(1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q) has been identified as the cause of "urban runoff mortality syndrome." Thus, ecological risks substituted p-phenylenediamines (PPDs) and their quinone derivatives (PPD-Qs) in water have gained global attention. However, large-scale observation pollution characteristics surface is still lacking. Herein, a nationwide investigation revealed pervasive occurrence PPDs PPD-Qs riverine waters across China, with mean concentration...
Analyzing trace-level volatile organic compounds (VOCs) remains challenging due to initial sampling and preconcentration limitations. Inspired by the highly reproducible constantly renewable electrode surface of dropping mercury (DME), a contactless enrichment process was first reported using an acoustic levitation device trap concentrate VOCs from gas samples onto suspended droplets, which were then directly transferred into chromatography-mass spectrometry (GC-MS) for real-time analysis....
Recent advancements in autonomous driving, augmented reality, robotics, and embodied intelligence have necessitated 3D perception algorithms. However, current methods, particularly small models, struggle with processing logical reasoning, question-answering, handling open scenario categories. On the other hand, generative multimodal large language models (MLLMs) excel general capacity but underperform tasks, due to weak spatial local object perception, poor text-based geometric numerical...
Photonic crystals (PC), periodically arranged nanoparticles, have emerged with extraordinary optical properties for light manipulation owing to their photonic band gaps (PBGs). Here, a novel strategy and method was developed efficient enrichment sensitive detection of cationic organic pollutants in water. Size-controlled Fe3O4@poly (4-styrenesulfonic acid-co-maleic acid) (Fe3O4@PSSMA) prepared, high surface charge were formed the coating PSSMA layer on Fe3O4, which could be used adsorption...
The ubiquitous application of phthalate esters (PAEs) as plasticizers leads to highly polluted marine environment, while the contamination patterns PAEs in various shellfish species remain unknown. objective this research is provide first information on pollution characteristics 16 different and associated health risks. Among analyzed PAEs, 13 were identified shellfish, with concentrations total ranging from 23.07 3794.08 ng/g dw (mean = 514.35 dw). PAE level five follows: Ostreidae 1064.12...
We pioneered an angle-adjustable photonic crystal fluorescence platform (APC-Fluor) that integrates PCs, angular resolution spectrometer and a strategically aligned laser source. This configuration, featuring coaxial rotating swing arm, allows for precise control over the angles of incidence emission. The presence microcavities facilitates dispersion fluorescent materials promotes transition electrons from excited state to lowest vibrational energy level. optical resonance effect triggered...
3D Gaussian splatting (3DGS) has shown promising results in image rendering and surface reconstruction. However, its potential volumetric reconstruction tasks, such as X-ray computed tomography, remains under-explored. This paper introduces R2-Gaussian, the first 3DGS-based framework for sparse-view tomographic By carefully deriving rasterization functions, we discover a previously unknown integration bias standard 3DGS formulation, which hampers accurate volume retrieval. To address this...
AIGC images are prevalent across various fields, yet they frequently suffer from quality issues like artifacts and unnatural textures. Specialized models aim to predict defect region heatmaps but face two primary challenges: (1) lack of explainability, failing provide reasons analyses for subtle defects, (2) inability leverage common sense logical reasoning, leading poor generalization. Multimodal large language (MLLMs) promise better comprehension reasoning their own difficulty in...
Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the help of contrastive learning, which assumes only audio and visual contents from same are positive samples for each other. However, assumption would suffer false negative real-world training. For example, an sample, treating class as may mislead model therefore harm learned representations e.g., a siren wailing...