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Profil bibliographique

Xuan Liu

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

3Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Electrocatalysts for Energy ConversionInformation Retrieval and Search BehaviorEnhanced Oil Recovery TechniquesImage Retrieval and Classification TechniquesCoal Properties and Utilization

Les publications récentes

Accès ouvert 2026 article OpenAlex

Fractal evolution of lignite microstructure by biosurfactant treatment: Implications for pore-fracture network reconstruction

Xuan Liu, Xiang Fu, Lihui Dai, Xu Li

To explore the influence of biosurfactants on the microstructure fractal of low-rank coal, lignite was taken as the research object. Coal samples were treated with rhamnolipid solutions of different concentrations. Combined with multi-scale characterization techniques such as computed tomography (CT) three-dimensional reconstruction, …

cn (code pays fourni par la source)

0 citations Fuel Processing Technology
2026 article OpenAlex

Defective graphene synergizes with NiO x nanosheets to facilitate dual-defect-assisted two-electron oxygen reduction

Run Huang, Helong Wu, Qingchao Fang, Ying Chen et autres

One of the biggest challenges in the electrochemical synthesis of H2O2 is the development of high-performance and economical catalysts. In this work, a two-dimensional composite material consisting of NiOx nanosheets and defective graphene (DG) (NiOx@DG) was prepared and showed excellent electrocatalytic performance …

0 citations Chemical Synthesis
Accès ouvert 2026 preprint OpenAlex

Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization

Hefeng Zhou, Xuan Liu, Sicheng Chen, Wutong Zhang et autres

Federated cross-modal retrieval faces severe challenges from heterogeneous client data, particularly non-IID semantic distributions and missing modalities. Under such heterogeneity, a single global model is often insufficient to capture both shared cross-modal knowledge and client-specific characteristics. We propose RCSR, a personalization-friendly federated …

0 citations arXiv (Cornell University)

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