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Lei Gao

6 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Information filtering ia trust relationships diffusion process

    2016

    Recommender systems benefit us in tackling the problem of information overload and finding potential objects that we are interested in among diverse objects. A variety of recommendation algorithms have been proposed. Most of them only …

  2. Detecting Online Hate Speech Using Context Aware Models

    2017 · arXiv (Cornell University)

    In the wake of a polarizing election, the cyber world is laden with hate speech. Context accompanying a hate speech text is useful for identifying hate speech, which however has been largely overlooked in existing …

  3. DWGCN: a route recommendation model based on deepwalk-graph convolutional network

    2024 · IET conference proceedings.

    Route Recommendation has been the foundation of trip planning, and although there are many studies in the literature, there are still many challenges. The first one is the problem of how to accurately obtain the …

  4. Research on Digital Twin Technology to Optimize Underground Cable Network Management Strategy

    2024

    This paper proposes an optimization strategy for underground cable network management based on digital twin technology. Firstly, the advanced digital twin modeling algorithm is used to model the underground cable network with high precision and …

  5. DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding

    2025 · arXiv (Cornell University)

    Speculative Decoding (SD) is a widely used approach to accelerate the inference of large language models (LLMs) without reducing generation quality. It operates by first using a compact model to draft multiple tokens efficiently, followed …

  6. Hybrid knowledge reasoning over knowledge hypergraph: Inductive, deductive, and abductive

    2026 · Journal of Electronic Science and Technology

    Traditional knowledge reasoning methods, which are predominantly reliant on static rules and structured data, often struggle to adapt to the ambiguity and dynamic evolution of real-world scenarios. To overcome these limitations, this study proposes a …