Researcher profile

Yanmin Zhu

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Cost-efficient VM configuration algorithm in the cloud using mix scaling strategy

    2017

    Benefiting from the pay-per-use pricing model of cloud computing, many companies migrate their services and applications from typical expensive infrastructures to the cloud. However, due to fluctuations in the workload of services and applications, making …

  2. Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation

    2020 · arXiv (Cornell University)

    The aim of session-based recommendation is to predict the users' next clicked item, which is a challenging task due to the inherent uncertainty in user behaviors and anonymous implicit feedback information. A powerful session-based recommender …

  3. Adaptive Graph Representation Learning for Next POI Recommendation

    2023

    Next Point-of-Interest (POI) recommendation is an essential part of the flourishing location-based applications, where the demands of users are not only conditioned by their recent check-in behaviors but also by the critical influence stemming from …

  4. All Optical Classification Surpasses Cascaded Diffractive Networks through Dual Wavelength Differential Modulation within a Single Layer Architecture

    2025 · arXiv (Cornell University)

    Diffractive deep neural networks (D2NNs), which perform computation using light instead of electrons, offer a promising pathway toward accelerating artificial intelligence by leveraging the inherent advantages of optics in speed, parallelism, and energy efficiency. However, …

  5. A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

    2022 · ACM Transactions on Information Systems

    Traditional recommendation systems are faced with two long-standing obstacles, namely data sparsity and cold-start problems, which promote the emergence and development of Cross-Domain Recommendation (CDR). The core idea of CDR is to leverage information collected …