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Profil bibliographique

Jiaxing Du

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

57Publications signalées
611Citations signalées
7Affiliations récentes

Les institutions déclarées

Les domaines associés

Perovskite Materials and ApplicationsNanoplatforms for cancer theranosticsAdvanced biosensing and bioanalysis techniquesAdvanced Nanomaterials in CatalysisAdvanced Decision-Making Techniques

Les publications récentes

Accès ouvert 2026 article OpenAlex

Odd–Even Cation Engineering of the Excitation Transport Anisotropy in Two-Dimensional Perovskite Films

Jiaxing Du, Marcello Righetto, Maryam Choghaei, Siyu Yan et autres

High Resolution Image Download MS PowerPoint Slide Two-dimensional perovskites have emerged as promising materials for optoelectronic applications owing to their excellent environmental stability and tunable quantum confinement. Such 2D perovskites can incorporate a particularly versatile range of organic cations of different size, …

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1 citation ACS Nano
Accès ouvert 2026 erratum OpenAlex

Correction: FGFR2/STAT3 signaling pathway involves in the development of MMTV-related spontaneous breast cancer in TA2 mice

Jiaxing Du, Qi Zhao, Kai Liu, Zugui Li et autres

Correction on: Du J, Zhao Q, Liu K, Li Z, Fu F, Zhang K, Zhang H, Zheng M, Zhao Y and Zhang S (2020) FGFR2/STAT3 Signaling Pathway Involves in the Development of MMTV-Related Spontaneous Breast Cancer in TA2 Mice. Front. Oncol. 10:652. …

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0 citations Frontiers in Oncology
Accès ouvert 2026 conference-paper OpenAlex

Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot

Jiahua Bao, Siyao Cheng, Jiaxing Du, Yuhang Jia et autres

Vision-Language Models (VLMs) have achieved impressive performance across various tasks, but often struggle to apply newly introduced visual concepts during inference. A common failure pattern is what we call Mixing Things Up: VLMs frequently confuse concept names, resulting in vague descriptions and …

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0 citations Proceedings of the AAAI Conference on Artificial Intelligence
Accès ouvert 2026 article OpenAlex

Shallow Water Bathymetry Inversion Method Based on Spatiotemporal Coupling Correlation Adaptive Spectroscopy

Jiaxing Du, Houpu Li, Shuaidong Jia, gaixiao li et autres

Shallow water bathymetry data underpins maritime shipping and marine resource survey/protection, but its accuracy is constrained by water heterogeneity and spectral interference. To address this, this study proposes a Spatio-Temporal Coupling and Correlation Adaptive Spectral (STCCAS) inversion method, integrating four machine learning …

cn (code pays fourni par la source)

1 citation Remote Sensing
2025 article OpenAlex

Study on the Influence of Coil Cone Angle on the Temperature Uniformity of Spiral Bevel Gear Induction Heating

Yuqian Zhao, Jiaxing Du

Abstract Due to the small size and complex structure of medium and small modulus spiral bevel gears, the current quenching technology struggles to control the temperature uniformity of their tooth shape, which impacts the surface hardening quality of the gear. In this …

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1 citation Journal of Thermal Science and Engineering Applications
2025 conference-paper OpenAlex

BOLT: Fewer Tokens but More Performance Retention for Efficient Vision-Language Models Inference

Jiahua Bao, Siyao Cheng, Jiaxing Du, Changjiang He et autres

Vision-Language Models (VLMs) have achieved significant advances across various downstream tasks. However, as their performance improves, the increasing number of parameters results in slower prefilling speeds and longer inference times. To overcome these limitations, we observe that most VLMs do not require …

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0 citations
2025 conference-paper OpenAlex

History Tracker: Retrieving Historical Image Embeddings for Efficient Fine-Grained Reasoning in Vision-Language Models

Jiahua Bao, Siyao Cheng, Jiaxing Du, Ziqian Li et autres

Vision-Language Models (VLMs) effectively align images and text, but they often struggle with fine-grained reasoning tasks. Fine-grained training also typically demand substantial GPU memory and a large number of trainable parameters. While existing Parameter-Efficient Fine-Tuning (PEFT) methods address these challenges, they also …

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0 citations
Accès ouvert 2025 article OpenAlex

Anthracene and pyrene containing fluorescent metallacycles/cages (MOCs) and their applications

Jiaxing Du, Meng Yu, Wei Tuo, Shuwei Zhang et autres

Metal–organic cycle/cages (MOCs) are a class of molecular structures characterized by their unique shapes and dimensions, created using the systematic combination of an organic donor and a metal center. Due to their versatile properties, MOCs are highly useful in materials science. Owing …

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5 citations APL Materials
Accès ouvert 2025 article OpenAlex

Inter-Layer Diffusion of Excitations in 2D Perovskites Revealed by Photoluminescence Reabsorption

Jiaxing Du, Marcello Righetto, Siyu Yan, Karim A. Elmestekawy et autres

Abstract 2D lead halide perovskites (2DPs) offer chemical compatibility with 3D perovskites and enhanced stability, which are attractive for applications in photovoltaic and light‐emitting devices. However, such lowered structural dimensionality causes increased excitonic effects and highly anisotropic charge‐carrier transport. Determining the diffusivity …

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8 citations Advanced Functional Materials

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