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Researcher profile

Ziyi Wang

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control

    2020 · arXiv (Cornell University)

    In this work we propose the use of adaptive stochastic search as a building block for general, non-convex optimization operations within deep neural network architectures. Specifically, for an objective function located at some layer in …

  2. Itinerary-aware Personalized Deep Matching at Fliggy

    2021

    Matching items for a user from a travel item pool of large cardinality have been the most important technology for increasing the business at Fliggy, one of the most popular online travel platforms (OTPs) in …

  3. A Parallelism-Based Earliest Finish Time (PBEFT) Algorithm for Workflow Scheduling in Clouds

    2022

    For those public-cloud-based application providers, workflow scheduling in clouds must not only meet traditional performance optimization goals, but also minimize financial costs. This paper focuses on budget-constrained workflow scheduling issue on heterogeneous cloud resources, and …

  4. A novel anti-interference robust federated filter for multisensor navigation system of unmanned aerial vehicles

    2024

    In order to address the challenges related to inaccurate unmanned aerial vehicles positioning amidst battlefield interference environment, a new robust filtering algorithm is proposed in this paper. The INS-GPS-Tacan-Terrain multisensor integrated navigation system is taken …

  5. Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction

    2024

    Aspect Sentiment Quad Prediction (ASQP) aims to predict all quads (aspect term, aspect category, opinion term, sentiment polarity) for a given review, which is the most representative and challenging task in aspect-based sentiment analysis.A key …

  6. A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based Models

    2018

    Although many researchers of recommender systems have noted that encoding user-item interactions based on DNNs promotes the performance of collaborative filtering, they ignore that embedding the latent features collected from external sources, e.g., knowledge graphs …