Yang Lu
6 papers in the PaperMetrix corpus
Papers by this author
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A data dissemination algorithm inspired by SIS model for cloud computing
2022 · Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021)
For large-scale cloud computing platform in an industrial environment, production data reading efficiency is essential, so data items are stored in different nodes of geographical area. Lack of efficient data synchronization algorithms may reduce productivity. …
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Cryptanalysis of the existing integrated PKE and PEKS schemes
2019 · International Journal of Embedded Systems
Public key encryption with keyword search (PEKS) is a useful cryptographic primitive which allows one to delegate to an untrusted storage server the capability of searching on publicly encrypted data without impacting the security and …
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Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
2023 · arXiv (Cornell University)
Personalized Federated Learning (PFL) aims to learn personalized models for each client based on the knowledge across all clients in a privacy-preserving manner. Existing PFL methods generally assume that the underlying global data across all …
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A Classification of Observation-Driven State-Space Count Models for Panel Data
2023 · arXiv (Cornell University)
State-space models are widely used in many applications. In the domain of count data, one such example is the model proposed by Harvey and Fernandes (1989). Unlike many of its parameter-driven alternatives, this model is …
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Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy
2025 · arXiv (Cornell University)
This paper investigates the use of Large Language Models (LLMs) to synthesize public opinion data, addressing challenges in traditional survey methods like declining response rates and non-response bias. We introduce a novel technique: role creation …
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Categorical Data Clustering via Value Order Estimated Distance Metric Learning
2025 · Proceedings of the ACM on Management of Data
Clustering is a popular machine learning technique for data mining that can process and analyze datasets to automatically reveal sample distribution patterns. Since the ubiquitous categorical data naturally lack a well-defined metric space such as …