Yazhou Zhang

Variational autoencoder based synthetic data generation for imbalanced learning

2017

Discovering pattern from imbalanced data plays an important role in numerous applications, such as health service, cyber security, and financial engineering. However, the imbalanced data greatly compromise the performance of most learning algorithms. Recently, various …

A Survey of Quantum-cognitively Inspired Sentiment Analysis Models

2023 · ACM Computing Surveys

Quantum theory, originally proposed as a physical theory to describe the motions of microscopic particles, has been applied to various non-physics domains involving human cognition and decision-making that are inherently uncertain and exhibit certain non-classical, …

DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations

2023 · arXiv (Cornell University)

Large language models (LLMs) and their variants have shown extraordinary efficacy across numerous downstream natural language processing (NLP) tasks, which has presented a new vision for the development of NLP. Despite their remarkable performance in …

Large Language Models for Subjective Language Understanding: A Survey

2025 · arXiv (Cornell University)

Subjective language understanding refers to a broad set of natural language processing tasks where the goal is to interpret or generate content that conveys personal feelings, opinions, or figurative meanings rather than objective facts. With …