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Profil bibliographique

Peng Liu

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

569Publications signalées
9828Citations signalées
5Affiliations récentes

Les institutions déclarées

Les domaines associés

Advanced Malware Detection TechniquesNetwork Security and Intrusion DetectionSecurity and Verification in ComputingInformation and Cyber SecuritySoftware Testing and Debugging Techniques

Les publications récentes

2026 article OpenAlex

Information sharing and private‐label production outsourcing strategies in platform markets

Peng Liu, Juan Li

Abstract Recently, a growing number of e‐commerce platforms have launched private labels (PLs) to compete with national brands (NBs). However, whether to outsource PL production to NB manufacturers or third‐party manufacturers has still puzzled platforms (especially when the platform possesses private demand …

cn (code pays fourni par la source)

1 citation International Transactions in Operational Research
2026 conference-paper OpenAlex

HeMamba: Modeling Interaction Context on Heterogeneous Graphs with Mamba for Recommendation

Guiyang Liu, Jichao Li, Wenchuan Yang, Tianyang Lei et autres

Heterogeneous graph neural networks (HGNNs) have shown strong performance by modeling information propagation on graph-structured data for recommender systems. However, graph message passing primarily summarizes neighborhood structure on a heterogeneous information network and often pays limited attention to interaction context that reflects …

cn (code pays fourni par la source)

0 citations
Accès ouvert 2026 article OpenAlex

Towards alternative/complementary wastewater treatment: a review of the recent advancements in photoelectrocatalytic oxidation of sulfonamide antibiotics

Babatunde A. Koiki, Kehinde D. Jayeola, Dimpo S. Sipuka, Tsholofelo I. Sebokolodi et autres

The occurrence of pharmaceutical compounds in the environment has continued to attract the attention of researchers and this has become the focus of many scientific research work as well as review articles. Sulfonamides have been detected in underground water, seawater, sediment, soil, …

Afrique du Sud, cn (code pays fourni par la source)

0 citations RSC Advances
Accès ouvert 2025 article OpenAlex

Docosahexaenoic acid ameliorates mild cognitive impairment mediated by cannabinoid receptor 1-ceramide axis

Y Wang, Peng Liu, Yanfang Chen, Yuan Wang et autres

Hypercholesteremia results in cognitive decline, while higher intakes of marine n-3 polyunsaturated fatty acids (PUFA) can ameliorate mild cognitive impairment (MCI). However, whether individual n-3 PUFA, notably docosahexaenoic acid (DHA, C22:6n-3) and eicosapentaenoic acid (EPA, C20:5n-3) have different efficiency to ameliorate MCI …

0 citations Food Science and Human Wellness
2025 article OpenAlex

MSTest: A Property-Oriented, Comprehensive, and Cross-Platform Test Suite of Memory Safety

Da Xie, Wei Song, Jiameng Ying, Si‐Hao Shen et autres

The foundation of current software ecosystem is still unfortunately laid on memory unsafe languages, such as C/C++. Memory safety vulnerabilities remain as the primary source of bugs in the critical software stacks. Some of the advanced memory safety defenses are beginning to …

cn, us (code pays fourni par la source)

0 citations IEEE Transactions on Dependable and Secure Computing
2025 conference-paper OpenAlex

A Graph-Based Framework for N-k Contingency Analysis of Substation Maintenance Isolation

Jia Zeng, Peng Liu, G. H. Luo, Xizhang Chen et autres

Verifying the electrical safety of maintenance work zones in substations against multiple equipment failures (N-k contingencies) is a computationally intensive challenge. Brute-force methods become impractical as the complexity of the contingency analysis increases. This paper introduces an optimized algorithm that leverages topological …

in, cn (code pays fourni par la source)

0 citations
Accès ouvert 2025 preprint OpenAlex

MemOS: A Memory OS for AI System

Zhiyu Li, Chunyan Xi, Chunyu Li, Shichao Song et autres

Large Language Models (LLMs) have become an essential infrastructure for Artificial General Intelligence (AGI), yet their lack of well-defined memory management systems hinders the development of long-context reasoning, continual personalization, and knowledge consistency.Existing models mainly rely on static parameters and short-lived contextual …

0 citations arXiv (Cornell University)

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