Chen Wu

Structural Alignment based Zero-shot Classification for Remote Sensing Scenes

2018

Zero-shot classification aims to classify unseen classes instances without any training data. However, the problem of class structure in consistency between visual space and semantic space severely affects zero-shot classification performance for remote sensing scenes. …

Backdoor Threats from Compromised Foundation Models to Federated Learning

2023 · arXiv (Cornell University)

Federated learning (FL) represents a novel paradigm to machine learning, addressing critical issues related to data privacy and security, yet suffering from data insufficiency and imbalance. The emergence of foundation models (FMs) provides a promising …

Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering

2018

This paper describes a novel hierarchical attention network for reading comprehension style question answering, which aims to answer questions for a given narrative paragraph. In the proposed method, attention and fusion are conducted horizontally and …

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

2019

Unsupervised text style transfer aims to alter text styles while preserving the content, without aligned data for supervision. Existing seq2seq methods face three challenges: 1) the transfer is weakly interpretable, 2) generated outputs struggle in …

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

2022

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir …