Modeling Compositionality with Dependency Graph for Dialogue Generation

no code implementations • NAACL (SUKI) 2022 • Xiaofeng Chen, YiRong Chen, Xiaofen Xing, Xiangmin Xu, Wenjing Han, Qianfeng Tie

Because of the compositionality of natural language, syntactic structure which contains the information about the relationship between words is a key factor for semantic understanding.

Dialogue Generation

Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling

no code implementations • 30 Dec 2022 • Wan Jiang, Gang Liu, Xiaofeng Chen, Yipeng Zhou

Unlike traditional distributed machine learning, federated learning stores data locally for training and then aggregates the models on the server, which solves the data security problem that may arise in traditional distributed machine learning.

Federated Learning Quantization

Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey

no code implementations • 13 May 2021 • XiaoYu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang

This survey presents the most recent findings of privacy attacks and defenses appeared in cloud-based neural network services.

A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification

no code implementations • COLING 2020 • Haopeng Ren, Yi Cai, Xiaofeng Chen, Guohua Wang, Qing Li

Relation Classification (RC) plays an important role in natural language processing (NLP).

Few-Shot Relation Classification