Final Defense – 第 3 页 – Data Science and Analytics Thrust

Task-Oriented Learning from Positive-Unlabeled Data: Addressing Imbalance, Bias, and Uncertainty

2025年04月30日

Bridging Classification and Generation: From Neural Collapse in Imbalanced Classification to Discriminative-driven Image Generation

2025年03月25日

Towards Trustworthy Large Language Models: Fairness, Robustness, and Reliability

2025年02月24日

TOWARDS EFFECTIVE SPACE DESIGN FOR AUTOMATED GRAPH NEURAL NETWORKS

2024年11月05日

Fill in the Missing: Toward Efficient and Effective Imputation of Large-Scale Incomplete Datasets

2024年10月09日

Enhancing Diffusion Sampling and Deciphering Self-Supervised Learning through Architectural Investigation

2024年08月16日

Enhancing Multivariate Time Series Analysis with Structure Learning

2024年07月25日

APPLIED RESEARCH OF GRAPH NEURAL NETWORKS FROM THE PERSPECTIVE OF EFFECTIVENESS, EFFICIENCY, AND EXPLAINABILITY

2024年07月15日

Exploring Information Flow through Graphic Causal Networks for Multivariate Time Series Anomaly Detection

2024年07月15日