activity
20192026
most citedMulti-modal Deep Analysis for Multimedia

59 citations · 180 across the 28 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network

Haoyang Li, Xin Wang, Ziwei Zhang +1

Graph neural networks (GNNs) have achieved impressive performance when testing and training graph data come from identical distribution. However, existing GNNs lack out-of-distribu…

cs.CV2021★ 3 cited

A Survey on Temporal Sentence Grounding in Videos

Xiaohan Lan, Yitian Yuan, Xin Wang +2

Temporal sentence grounding in videos(TSGV), which aims to localize one target segment from an untrimmed video with respect to a given sentence query, has drawn increasing attentio…

cs.LG2021★ 27 cited

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

Heng Chang, Yu Rong, Tingyang Xu +6

With the success of the graph embedding model in both academic and industry areas, the robustness of graph embedding against adversarial attack inevitably becomes a crucial problem…

cs.LG2021★ 12 cited

AutoGL: A Library for Automated Graph Learning

Ziwei Zhang, Yijian Qin, Zeyang Zhang +11

Recent years have witnessed an upsurge in research interests and applications of machine learning on graphs. However, manually designing the optimal machine learning algorithms for…

cs.CV2021★ 5 cited

MetaDelta: A Meta-Learning System for Few-shot Image Classification

Yudong Chen, Chaoyu Guan, Zhikun Wei +2

Meta-learning aims at learning quickly on novel tasks with limited data by transferring generic experience learned from previous tasks. Naturally, few-shot learning has been one of…