A5053022617- Advanced Image Processing Techniques
- Video Coding and Compression Technologies
- Surface Modification and Superhydrophobicity
- Image and Video Quality Assessment
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Energy, Environment, and Transportation Policies
- Multimodal Machine Learning Applications
- Advanced biosensing and bioanalysis techniques
- Energy, Environment, Economic Growth
- Monoclonal and Polyclonal Antibodies Research
- Mechanical Behavior of Composites
- FinTech, Crowdfunding, Digital Finance
- Electrospun Nanofibers in Biomedical Applications
- Block Copolymer Self-Assembly
- Glycosylation and Glycoproteins Research
- Adhesion, Friction, and Surface Interactions
- Advanced Data Compression Techniques
- Energetic Materials and Combustion
- Sharing Economy and Platforms
- Video Surveillance and Tracking Methods
- Advanced Image Fusion Techniques
Jimei University
2021-2025
State Key Laboratory on Integrated Optoelectronics
2025
Jilin University
2025
XinHua Hospital
2025
Shanghai Jiao Tong University
2020-2025
Beijing Institute of Technology
2022-2023
WuXi AppTec (China)
2023
University of British Columbia
2020-2021
Hosei University
2020
Huazhong University of Science and Technology
2020
Multi-object tracking is a fundamental vision problem that has been studied for long time. As deep learning brings excellent performances to object detection algorithms, Tracking by Detection (TBD) become the mainstream framework. Despite success of TBD, this two-step method too complicated train in an end-to-end manner and induces many challenges as well, such insufficient exploration video spatial-temporal information, vulnerability when facing occlusion, excessive reliance on results. To...
The combination of digital technology and finance has brought about a new development model for financial inclusion. What impact will it have on the current imbalance in distribution resources urban-rural income gap China? To answer this question, paper uses relevant data from 2014–2018 to study inclusive theory exclusion, analyzes transmission through alleviating widening financing channels helping residents with entrepreneurial spirit start their own businesses, thus increasing jobs,...
As an important step towards visual reasoning, grounding (e.g., phrase localization, referring expression comprehension/segmentation) has been widely explored Previous approaches to comprehension (REC) or segmentation (RES) either suffer from limited performance, due a two-stage setup, require the designing of complex task-specific one-stage architectures. In this paper, we propose simple multi-task framework for tasks. Specifically, leverage transformer architecture, where two modalities...
China is currently in the process of industrialization, and excessive consumption fossil energy results a significant increase carbon emissions. With development information technology digital economy, finance has gradually become new model that affects human activities, motivating us to explore relationship between Based on panel data from 278 cities 2011 2019, this study empirically analyzes emissions discusses it terms nonlinearity, regional heterogeneity, spatial spillover effects. We...
Digital financial inclusion (DFI) helps to narrow the income gap between urban and rural areas, but path dependence may lead spatial agglomeration in development of DFI, causing effect on urban–rural gap. This study mainly examines mechanism DFI China, including its issues. Results show that China's has different impacts east, central, western regions, showing evident heterogeneity. In addition, agglomeration, impact also a spillover effect. Moreover, is because traditional finance digital...
In this paper, photoelectric cooperative induced patterned wetting is demonstrated on a hydrophobic ordered polymeric honeycomb structure surface, which prepared by BF method, then photosensitizing with dye and hydrophobizing low‐surface‐energy materials; finally, achieved such surface. These results indicate that work promising for broadening the applications of liquid reprography, break limitations only using inorganic materials super‐hydrophobic materials. It should be great scientific...
Existing denoising methods typically restore clear results by aggregating pixels from the noisy input. Instead of relying on hand-crafted aggregation schemes, we propose to explicitly learn this process with deep neural networks. We present a spatial pixel network and sampling averaging strategies for image denoising. The proposed model naturally adapts structures can effectively improve denoised results. Furthermore, develop spatio-temporal video efficiently sample across space. Our method...
Most of the classical denoising methods restore clear results by selecting and averaging pixels in noisy input. Instead relying on hand-crafted strategies, we propose to explicitly learn this process with deep neural networks. Specifically, deformable 2D kernels for image where sampling locations kernel weights are both learned. The proposed naturally adapts structures could effectively reduce oversmoothing artifacts. Furthermore, develop 3D video more efficiently sample across...
The patterned honeycomb structure film with the aggregation-induced emission property was prepared successfully by breath figure method and photopolymerization method. Characterization of HeLa HepG2 cell culture on this surface indicates porous structures show anticancer cells growth function. So kind will be promising for control cancer behaviors achieving application anticancer.
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses issues of from source domain to target domain. The includes both a supervised track (track 1) and weakly-supervised 2) for two benchmark datasets. In particular, 1 offers new Internet benchmark, requiring algorithms learn map more compressed videos less in training manner. 2, are required one device another when their varies substantially weakly- aligned pairs available. For 1, total 7 teams competed...
Antibody–drug conjugates (ADCs), integrating high specificity of antigen-targeting antibodies and potency cell-killing chemical drugs, have become one the most rapidly expanding therapeutic biologics in oncology. Although ADCs were widely studied from multiple aspects, overall structural elucidation with comprehensive understanding variants is scarcely reported. Here, for first time, we present a holistic in-depth characterization an interchain cysteine-conjugated ADC, focusing on...
Advances in Large Language Models (LLMs) have sparked interest their ability to solve Olympiad-level math problems. However, the training and evaluation of these models are constrained by limited size quality available datasets, as creating large-scale data for such advanced problems requires extensive effort from human experts. In addition, current benchmarks prone contamination, leading unreliable evaluations. this paper, we present an automated pipeline that leverages rich resources Art...
ABSTRACT Despite significant advancements in the study of metal halide perovskites worldwide, large-scale industrialization related optoelectronic devices faces ongoing challenges to efficiency, long-term stability, and environmental human toxicity. Self-assembled molecules (SAMs) have recently emerged as crucial strategies for enhancing device performance particularly by mitigating interface-related challenges. This review provides a comprehensive examination multifaceted roles SAMs...
e16514 Background: The obesity paradox in clear cell renal carcinoma (ccRCC) has drawn attention, with studies suggesting perirenal fat may serve as an immune reservoir, influencing the tumor microenvironment and prognosis. However, its specificity clinical relevance compared to BMI remain uncertain, prognostic utility patient management is underexplored. This study evaluates significance of thickness (PRFT) potential improve prediction models, particularly for small tumors (≤4 cm). Methods:...
Abstract Lectin A (LecA) from Pseudomonas aeruginosa is an established virulence factor. Glycoclusters that target LecA and are able to compete with human glycoconjugates present on epithelial cells promising candidates treat P. infection. family of 32 glycodendrimers generation 0 1 based a bifurcated bis‐galactoside motif have been designed interact LecA. The influences both the central multivalent core aglycon these their affinity toward evaluated by use microarray technique, qualitatively...
This paper first theoretically analyzes the impact mechanism of digital finance on industrial structure upgrading, and then empirically relationship between upgrading. The results show that development can promote upgrading structure. Further analysis shows proper allocation government attention is also key to achieving above conclusions provide policy implications in China.
We fabricate honeycomb-like poly acrylic acid (PAA) surfaces and achieve oil adhesion regulation underwater by changing the pore size solution pH, which affect triple-phase contact line (TCL) continuity negative pressure in pores.
Reversible surface adhesion transitions are induced by controlling polar interactions at liquid–liquid interfaces and assessed using contact angle hysteresis (Δθ). The switchable oil is attributed to the decrease in interfacial tension from Lewis acid–base oil–water interface. Thus, changed state. This study provides a novel strategy for control, may inspire scientists working on liquid transport involving oil/water/solid triphase systems bioadhesion regulation under water.
Abstract To study the tensile properties of GAP/CL‐20/HMX (GCH) propellant, a new generation high energy solid uniaxial test and dynamic mechanical analysis (DMA) were performed at different temperatures (233.15–333.15 K) strain rates (0.000476–0.9524 s −1 ). The experimental results show that, unlike Hydroxyl‐terminated Polybutadiene (HTPB) Nitrate Ester Plasticized Polyether (NEPE) propellants, GCH propellant have special arc section in initial stage room temperature temperature. This...