ملف الباحث

Bin Zhang

17 ورقة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. A Composite Service Selection Method Supporting Service-Sharing across Multi-SLAs

    2015

    In cloud computing environments, each service-oriented application is often instantiated with multiple workflow instances, and each of them provides a specific QoS level for a particular user category. In recent researches, most of works deploy …

  2. SLA-oriented Research on Prediction and Evaluation of Service Components Performance

    2015

    The application services which deployed in cloud environment have some characteristics, such as the variability of concurrent requests and the differences of resource demands among components, which bring certain influence on service performance even cause …

  3. Study of RFID inter-domain security system based on SAML

    2015 · Jisuanji yingyong yanjiu

    This paper considered the security and privacy problems regarding that RFID tags used by different two or more RFID domains in EPC network.First,it divided the security and privacy mechanisms in RFID multi-domain system into 3 …

  4. Local Enhanced Catfish Bat Algorithm

    2016

    To resolve the conflict between convergence speed and diversity in Bat Algorithm (BA), we propose a novel improved BA algorithm called local enhanced catfish bat algorithm (LECBA). In LECBA, some inferior bats of initial population …

  5. A New Tracking Algorithm Based on Mean Shift and Frame Difference

    2018 · 2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)

    This article has presented a new tracking algorithm for fast moving target based Mean shift algorithm and frame difference. The new algorithm improve the effect of Mean shift algorithm. We use the Mean shift algorithm …

  6. Game Based SBCA Cloud Resource Adjustment Method

    2019

    The performance of SBCA (SOA Based Cloud Applications, a typical form of cloud applications) can be adjusted by changing the occupied amount of resources. How to adjust the amount of resources occupied by SBCA that …

  7. Detection of SQL Injection Attacks Based on Improved TFIDF Algorithm

    2019 · Journal of Physics Conference Series

    Abstract Detecting SQL injection attacks (SQLIAs) effectively is one of the critical issues to be solved in Web secure fields. Aiming at the problem that the distribution of feature words in the same kind of …

  8. Personalized Standard Deviations Improve the Baseline Estimation of Collaborative Filtering Recommendation

    2020 · Applied Sciences

    Baseline estimation is a critical component for latent factor-based collaborative filtering (CF) recommendations to obtain baseline predictions by evaluating global deviations for both users and items from personalized ratings. Classical baseline estimation presupposes that the …

  9. An Adaptive Scaling Cuckoo Search Algorithm

    2021 · 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

    The cuckoo search algorithm (CSA) is a natureinspired metaheuristic algorithm based on the parasitic behaviour of the cuckoo species, and it has received much attention for solving optimization problems. Nevertheless, the CSA still has some …

  10. An Efficient Bayesian Neural Network for Multiple Data Streams

    2021

    Spatial and temporal data such as multiple data streams often have concept drift problems, which refers to changes of the data distributions over time. Once concept drift occurs, a stationary machine learning predictor will probably …

  11. Research on a Virtual Machine Mode Transfer Method Supporting Energy Consumption Optimization

    2022 · 2022 24th International Conference on Advanced Communication Technology (ICACT)

    In traditional cloud resource optimization scheduling, excessive pursuit of service performance and system reliability has resulted in low utilization of system resources and severe energy dissipation. In this paper, transfer target of virtual machines was …

  12. A Time Series Analysis-Based Forest Disturbance Time Backtracking Method in Northeastern China, the Changbai Mountain

    2024

    Forest disturbance is a crucial factor in evaluating carbon sink changes in ecological studies. Current research on forest disturbances mainly focuses on forest disturbance detection, forest disturbance classification, and other analyses and statistics of forest …

  13. Ordered Statistics Derivative Decoding for Affine-Invariant Codes Without Gaussian Elimination

    2025 · IEEE Transactions on Communications

    This paper introduces theordered statistics decoding(OSD) without Gaussian elimination for affine-invariant codes based on theirderivative descendants(DDs). Based on the affine-invariant property, the reliable bits can be permuted into the information positions for re-encoding by an …

  14. CA‐CNN‐GRU Communication Modulation Signal Classification Method Based on Multi‐Scale Feature

    2025 · IEEJ Transactions on Electrical and Electronic Engineering

    Automatic Modulation Classification (AMC) is critical in communication and information processing, enabling efficient identification of modulation types. However, low SNR environments challenge AMC's accuracy, impacting system reliability and anti‐jamming capability. To address this issue, a …

  15. Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs

    2025 · arXiv (Cornell University)

    Verifying the complex and multi-step reasoning of Large Language Models (LLMs) is a critical challenge, as holistic methods often overlook localized flaws. Step-by-step validation is a promising alternative, yet existing methods are often rigid. They …

  16. Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference

    2025 · arXiv (Cornell University)

    Recently, large language models (LLMs) have been able to handle longer and longer contexts. However, a context that is too long may cause intolerant inference latency and GPU memory usage. Existing methods propose mixed-precision quantization …

  17. Agent Object Protocol: Protocol-by-Artifacts for Machine-Adjudicable AI Artifacts

    2026 · Zenodo (CERN European Organization for Nuclear Research)

    This work introduces the Agent Object Protocol (AOP), a framework for machine-adjudicable protocol compliance based on executable artifacts rather than textual interpretation. Traditional protocols rely on human interpretation of specification text, which often leads to …