Ruofei Zhang

Improving Taxonomy-based Categorization with Categorical Graph Neural Networks

2021 · 2021 IEEE International Conference on Big Data (Big Data)

In search and retrieval, a critical subtask is the classification of user search queries into predefined categories. Traditional supervised multi-class classification algorithms usually treat each category independently. In practical applications however, the categories have implicit …

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance

2022 · arXiv (Cornell University)

Ad relevance modeling plays a critical role in online advertising systems including Microsoft Bing. To leverage powerful transformers like BERT in this low-latency setting, many existing approaches perform ad-side computations offline. While efficient, these approaches …

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

2020

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung …