Xin Geng

Resource-Aware Cache Management for In-Memory Data Analytics Frameworks

2019

Continuously increasing amounts of data have led to the emergence of distributed in-memory computing systems for higher data processing speeds. Finding an efficient memory management method has become key to improving the performance of these …

Provably Consistent Partial-Label Learning

2020 · Neural Information Processing Systems

Partial-label learning (PLL) is a multi-class classification problem, where each training example is associated with a set of candidate labels. Even though many practical PLL methods have been proposed in the last two decades, there …

NormAUG: Normalization-guided Augmentation for Domain Generalization

2023 · arXiv (Cornell University)

Deep learning has made significant advancements in supervised learning. However, models trained in this setting often face challenges due to domain shift between training and test sets, resulting in a significant drop in performance during …

Facilitating AI-Based CSI Feedback Deployment in Massive MIMO Systems With Learngene

2024 · IEEE Transactions on Wireless Communications

Recent advances in artificial intelligence offer groundbreaking alternatives to conventional codebook-based channel state information (CSI) feedback techniques. Confronted with the influx of CSI data from simulations and real-world environments, leveraging neural networks to mine valuable …