338 citations · 1.1k across the 73 of their papers we have counts for
5 papers · 1 filter
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang, Qi Liu, Zhenya Huang +4
As machine learning becomes more widely used for critical applications, the need to study its implications in privacy turns to be urgent. Given access to the target model and auxil…
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective
Likang Wu, Zhi Li, Hongke Zhao +2
In the online innovation market, the fund-raising performance of the start-up project is a concerning issue for creators, investors and platforms. Unfortunately, existing studies a…
Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
Eric Z. Chen, Xiao Chen, Jingyuan Lyu +7
Retrospectively gated cine (retro-cine) MRI is the clinical standard for cardiac functional analysis. Deep learning (DL) based methods have been proposed for the reconstruction of…
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu, Yuyang Ye, Qi Liu +4
Click-Through Rate (CTR) prediction is a core task in nowadays commercial recommender systems. Feature crossing, as the mainline of research on CTR prediction, has shown a promisin…
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Qi Liu, Lei Yu, Laura Rimell +1
Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect, manifested in models that prefer short and generic responses. Here we argue for the u…