activity
20192021
most citedContrastive Visual-Linguistic Pretraining

18 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021

A Self-supervised Mixed-curvature Graph Neural Network

Li Sun, Zhongbao Zhang, Junda Ye +4

Graph representation learning received increasing attentions in recent years. Most of existing methods ignore the complexity of the graph structures and restrict graphs in a single…

cs.LG2021★ 6 cited

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs

Li Sun, Zhongbao Zhang, Jiawei Zhang +4

Learning representations for graphs plays a critical role in a wide spectrum of downstream applications. In this paper, we summarize the limitations of the prior works in three fol…

cs.CR2020★ 1 cited

Answering Multi-Dimensional Range Queries under Local Differential Privacy

Jianyu Yang, Tianhao Wang, Ninghui Li +2

In this paper, we tackle the problem of answering multi-dimensional range queries under local differential privacy. There are three key technical challenges: capturing the correlat…

cs.CV2020★ 18 cited

Contrastive Visual-Linguistic Pretraining

Lei Shi, Kai Shuang, Shijie Geng +6

Several multi-modality representation learning approaches such as LXMERT and ViLBERT have been proposed recently. Such approaches can achieve superior performance due to the high-l…

cs.CV2020★ 3 cited

Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering

Lei Shi, Shijie Geng, Kai Shuang +4

Multi-modality fusion technologies have greatly improved the performance of neural network-based Video Description/Caption, Visual Question Answering (VQA) and Audio Visual Scene-a…

cs.SI2019

DNA: Dynamic Social Network Alignment

Li Sun, Zhongbao Zhang, Pengxin Ji +3

Social network alignment, aligning different social networks on their common users, is receiving dramatic attention from both academic and industry. All existing studies consider t…