Yue Cao
6 papers in the PaperMetrix corpus
Papers by this author
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Pseudonym Management Through Blockchain: Cost-Efficient Privacy Preservation on Intelligent Transportation Systems
2019 · IEEE Access
Research into the established area of the intelligent transportation system is evolving into the Internet of Vehicles, a fast-moving research area, fuelled in part by rapid changes based on cyber-physical systems. It needs to be …
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GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond
2019
The Non-Local Network (NLNet) presents a pioneering approach for capturing long-range dependencies, via aggregating query-specific global context to each query position. However, through a rigorous empirical analysis, we have found that the global contexts modeled …
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DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network
2020
Paraphrases refer to texts that convey the same meaning with different expression forms. Traditional seq2seq-based models on paraphrase generation mainly focus on the fidelity while ignoring the diversity of outputs. In this paper, we propose …
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WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation
2021
Domain Adaptation is a fundamental problem in machine learning and natural language processing. In this paper, we study the domain adaptation problem from the perspective of instance weighting. Conventional instance weighting approaches cannot learn the …
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Blockchain-Based Healthcare Records Management Framework: Enhancing Security, Privacy, and Interoperability
2024 · Technologies
This study investigated the potential of blockchain technology to transform Electronic Health Record (EHR) administration, integrity, and security. EHRs store vital health information such as medical history, diagnosis, prescriptions, and imaging findings, which may be …
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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
2019
Explainability and effectiveness are two key aspects for building recommender systems. Prior efforts mostly focus on incorporating side information to achieve better recommendation performance. However, these methods have some weaknesses: (1) prediction of neural network-based …