Xinyang Lin — accepted AI-conference papers

2025

Multi-level Encoder with Global Topic for Task-oriented Dialogue Summarization

Zhuoqi He, Peijie Huang, Yuhong Xu, Youming Peng, Mingzhi Xu, Xinyang Lin

ICASSP 2025accepted

Task-oriented dialogue summarization aims to automatically extract key information to generate domain summaries to improve service efficiency and quality. Task-oriented dialogue is inherently logical and surrounds specific topic. How to effectively capture the dialogue topic and the most salient inf…

Cited by 0 Source ↗Scholar ↗

2022

Federated Learning with Positive and Unlabeled Data

Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng +1

ICML 2022spotlight

We study the problem of learning from positive and unlabeled (PU) data in the federated setting, where each client only labels a little part of their dataset due to the limitation of resources and time. Different from the settings in traditional PU learning where the negative class consists of a sin…

Cited by 29 Source ↗PDF ↗code ↗Scholar ↗