Xiaowang Zhang

Intelligent RDD Management for High Performance In-Memory Computing in Spark

2017

Spark is a pervasively used in-memory computing framework in the era of big data, and can greatly accelerate the computation speed by wrapping the accessed data as resilient distribution datasets (RDDs) and storing these datasets …

Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification

2022

The relation classification is to identify semantic relations between two entities in a given text. While existing models perform well for classifying inverse relations with large datasets, their performance is significantly reduced for few-shot learning. …

Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension

2022 · arXiv (Cornell University)

Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC). However, inherent linguistic discrepancies in different languages could make answer spans predicted by zero-shot transfer violate …

High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation

2024 · Research Square

Abstract The sequential recommendation task based on the multi-interest framework aims to model multiple interests of users from different aspects to predict their future interactions. However, researchers rarely consider the differences in features between the …