Xiaodong Li
6 papers in the PaperMetrix corpus
Papers by this author
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U2-VC: one-shot voice conversion using two-level nested U-structure
2021 · EURASIP Journal on Audio Speech and Music Processing
Abstract Voice conversion is to transform a source speaker to the target one, while keeping the linguistic content unchanged. Recently, one-shot voice conversion gradually becomes a hot topic for its potentially wide range of applications, …
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Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
2020 · arXiv (Cornell University)
This paper introduces an enhanced meta-heuristic (ML-ACO) that combines machine learning (ML) and ant colony optimization (ACO) to solve combinatorial optimization problems. To illustrate the underlying mechanism of our ML-ACO algorithm, we start by describing …
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Wearable IoT enabled smart heart disease monitoring on WSN
2023 · International Journal of Nanotechnology
The age profiles of many countries are increasing day by day with increasing population of individuals affected by the chronic diseases such as diabetes, cardiovascular disease, obesity and so on.In order to maintain the individual …
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Data Interoperating Architecture (DIA): Decoupling Data and Applications to Give Back Your Data Ownership
2023
Data has become a valuable resource that drives new business models and creates enormous business value. However, under the current data ownership model, many data-driven applications arbitrarily collect and overuse user data for commercial purposes, …
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Causal Prompting for Implicit Sentiment Analysis with Large Language Models
2025 · arXiv (Cornell University)
Implicit Sentiment Analysis (ISA) aims to infer sentiment that is implied rather than explicitly stated, requiring models to perform deeper reasoning over subtle contextual cues. While recent prompting-based methods using Large Language Models (LLMs) have …
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Foundation Models for Anomaly Detection: Vision and Challenges
2025 · AI Magazine
Abstract As data continues to grow in volume and complexity across domains such as finance, manufacturing, and healthcare, effective anomaly detection is essential for identifying irregular patterns that may signal critical issues. Recently, foundation models …