Aoying Zhou

Hotel recommendation based on user preference analysis

2015

Recommender system offers personalized suggestions by analyzing user preference. However, the performance falls sharply when it encounters sparse data, especially meets a cold start user. Hotel is such kind of goods that suffers a lot …

CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework

2015 · IEEE Transactions on Knowledge and Data Engineering

Explosive growth in the number of passwords for Web based applications and encryption keys for outsourced data storage well exceeds the management limit of users. Therefore, outsourcing keys (including passwords and data encryption keys) to …

TransPrompt v2: Transferable Prompt-based Fine-tuning for Few-shot Text Classification

2022 · Research Square

Abstract Recent studies have shown that prompt-based fine-tuning improves the performance of large Pre-trained Language Models (PLMs) for few-shot text classification. Specifically, this type of method transforms the text classification task into the inherent Masked …

Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models

2025

Multi-layer Perceptron (MLP)-based models have been widely exploited by modern recommendation applications. In practice, industrial recommendation scenarios frequently launch continuous incremental training jobs with only one epoch to capture real-time user features. This kind of …

Loom: A Deterministic Execution Framework Towards Nested Contract Transactions

2025

Smart contracts have expanded blockchain applications, but permissioned blockchain systems face severe through-put challenges, especially with the increasing complexity of nested contract transactions. These transactions, involving cross-contract interactions and deep call chains, intensify execution conflicts …