Researcher profile

Tao Xu

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Preliminary Exploration of the Effect of Time Constraint on Search Interactions on Webpages

    2016

    This study explored the effect of time constraint on searchers' interactions during two kinds of tasks through conducting a user experiment. The results demonstrated users' did not tend to accelerate their reading or decision speed …

  2. Improved Apriori Algorithm for Mining Association Rules

    2018 · DEStech Transactions on Computer Science and Engineering

    Apriori algorithm as a classic algorithm in data mining, it has a good performance in a small number of transactions in the database which has been widely used by people, but the algorithm has two …

  3. Robust Speech Recognition via Large-Scale Weak Supervision

    2022 · arXiv (Cornell University)

    We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize …

  4. A smart contract vulnerability detection model based on graph neural networks

    2022

    In recent years, smart contract vulnerability detection methods mostly view smart contract source code as natural language for processing, which cannot fully capture the semantic and structural features of the source code and has a …

  5. Elderly Nursing Service System Based on Improved Particle Swarm Optimization Algorithm for Camera Calibration

    2022

    It is the obligation of future generations to ensure that the elderly can enjoy their old age happily and comfortably. It is also a manifestation of social civilization and progress, and it is the inheritance …

  6. Learning to Rank Features for Recommendation over Multiple Categories

    2016

    Incorporating phrase-level sentiment analysis on users' textual reviews for recommendation has became a popular meth-od due to its explainable property for latent features and high prediction accuracy. However, the inherent limitations of the existing model …