activity
20182021
most citedRIM: Reliable Influence-based Active Learning on Graphs

10 citations · 15 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG202110 cited

RIM: Reliable Influence-based Active Learning on Graphs

Wentao Zhang, Yexin Wang, Zhenbang You +5

Message passing is the core of most graph models such as Graph Convolutional Network (GCN) and Label Propagation (LP), which usually require a large number of clean labeled data to…

cs.LG2020

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung +1

Inferring missing facts in temporal knowledge graphs (TKGs) is a fundamental and challenging task. Previous works have approached this problem by augmenting methods for static know…

cs.CL2020

Factual Error Correction for Abstractive Summarization Models

Meng Cao, Yue Dong, Jiapeng Wu +1

Neural abstractive summarization systems have achieved promising progress, thanks to the availability of large-scale datasets and models pre-trained with self-supervised methods. H…

cs.CV20205 cited

Task-agnostic Temporally Consistent Facial Video Editing

Meng Cao, Haozhi Huang, Hao Wang +6

Recent research has witnessed the advances in facial image editing tasks. For video editing, however, previous methods either simply apply transformations frame by frame or utilize…

cs.CL2019

Referring Expression Generation Using Entity Profiles

Meng Cao, Jackie Chi Kit Cheung

Referring Expression Generation (REG) is the task of generating contextually appropriate references to entities. A limitation of existing REG systems is that they rely on entity-sp…

cs.CV2018

Line Artist: A Multiple Style Sketch to Painting Synthesis Scheme

Jinning Li, Siqi Liu, Mengyao Cao

Drawing a beautiful painting is a dream of many people since childhood. In this paper, we propose a novel scheme, Line Artist, to synthesize artistic style paintings with freehand…