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Profil bibliographique

Ke Chen

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

191Publications signalées
9765Citations signalées
10Affiliations récentes

Les institutions déclarées

Les domaines associés

MXene and MAX Phase MaterialsAdvanced ceramic materials synthesis2D Materials and ApplicationsAdvanced materials and compositesAluminum Alloys Composites Properties

Les publications récentes

2026 article OpenAlex

Corrosion Behavior and Mechanism of High-Oxidation-Potential Cu-Modified V2SnC in Chloride Molten Salts

Jiaxiang Li, Yuke Zhong, Shanshan Chen, Youbing Li et autres

Abstract High-temperature molten salt systems are essential for energy storage and molten salt reactors, but their corrosiveness limits the durability of structural materials. MAX phases offer excellent high-temperature stability and oxidation resistance, yet the selective dissolution of A-site atomic layers in molten …

cn, us, tw, kr (code pays fourni par la source)

0 citations ACS Applied Engineering Materials
2026 article OpenAlex

Dual-Responsive Nanozyme Reactor Based on Hollow MnO2 on Upconversion Nanoparticles for Targeted Hepatocellular Carcinoma Therapy

Hui Li, Jingnan Fan, J Liao, Ke Chen et autres

Abstract Hepatocellular carcinoma (HCC) remains a significant therapeutic challenge due to multiple bottlenecks, including low early diagnosis rates, rapid disease progression, and limited efficacy of monotherapy. Against this backdrop, multimodal integrated treatment has emerged as a core solution. Here, we reported a …

cn (code pays fourni par la source)

0 citations ACS Applied Nano Materials
Accès ouvert 2026 article OpenAlex

ANXA11 suppression restores muscular function in the mdx mouse model of Duchenne muscular dystrophy (DMD)

Wen Tang, Bowen Lin, Ming Jin, Tianzhen Liu et autres

A critical question in Duchenne muscular dystrophy (DMD) research is whether regulatory mechanisms beyond dystrophin loss contribute to impaired muscle regeneration. Through integrative analysis of proteomics and single-nucleus RNA sequencing database, we identify the upregulation of ANXA11, a gene encoding a Ca²⁺-dependent …

cn, gb (code pays fourni par la source)

0 citations Nature Communications
Accès ouvert 2026 preprint OpenAlex

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects

Jun Zhang, Yuan Ji, Feiyang Ren, Yihang Li et autres

Large Vision-Language Models (LVLMs) enable sophisticated reasoning over images and videos, yet their inference is hindered by a systemic efficiency barrier known as visual token dominance. This overhead is driven by a multi-regime interplay between high-resolution feature extraction, quadratic attention scaling, and …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference

Bowen Zeng, Feiyang Ren, Jun Zhang, Xiaoling Gu et autres

Multimodal Large Language Models (MLLMs) have advanced unified reasoning over text, images, and videos, but their inference is hindered by the rapid growth of key-value (KV) caches. Each visual input expands into thousands of tokens, causing caches to scale linearly with context …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning

Jingbo Sun, Qichao Zhang, Songjun Tu, Xing Fang et autres

Zero-shot unsupervised reinforcement learning (URL) offers a promising direction for building generalist agents capable of generalizing to unseen tasks without additional supervision. Among existing approaches, successor representations (SR) have emerged as a prominent paradigm due to their effectiveness in structured, low-dimensional settings. …

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

Multimodal fault detection model for photovoltaic modules

Shuaishuai Yu, Fubao Gan, Tao Han, Shuainan Hou et autres

With the ongoing global transition towards clean energy, the photovoltaic industry has rapidly entered a new stage of large-scale development. To overcome the limitations of single-modality image-based photovoltaic module fault detection models, this study proposes Photovoltaic-DETR, a multimodal fault detection model based …

cn (code pays fourni par la source)

4 citations Scientific Reports

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