activity
20212024
most citedCombining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

252 citations · 462 across the 18 of their papers we have counts for

collaborators

19 papers

cs.CV2024

Joint-Motion Mutual Learning for Pose Estimation in Videos

Sifan Wu, Haipeng Chen, Yifang Yin +5

Human pose estimation in videos has long been a compelling yet challenging task within the realm of computer vision. Nevertheless, this task remains difficult because of the comple…

cs.LG2024★ 66 cited

Alleviating Structural Distribution Shift in Graph Anomaly Detection

Yuan Gao, Xiang Wang, Xiangnan He +3

Graph anomaly detection (GAD) is a challenging binary classification problem due to its different structural distribution between anomalies and normal nodes -- abnormal nodes are a…

cs.CV2023★ 4 cited

Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection

Yichen Zhang, Yifang Yin, Ying Zhang +3

Early detection of dysplasia of the cervix is critical for cervical cancer treatment. However, automatic cervical dysplasia diagnosis via visual inspection, which is more appropria…

cs.CV2023★ 12 cited

Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization

Yuheng Yang, Haipeng Chen, Zhenguang Liu +5

Action recognition has long been a fundamental and intriguing problem in artificial intelligence. The task is challenging due to the high dimensionality nature of an action, as wel…

cs.CV2023★ 2 cited

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models

Yuwei Yin, Jean Kaddour, Xiang Zhang +4

Data augmentation has been established as an efficacious approach to supplement useful information for low-resource datasets. Traditional augmentation techniques such as noise inje…

cs.CV2022

Copy Motion From One to Another: Fake Motion Video Generation

Zhenguang Liu, Sifan Wu, Chejian Xu +4

One compelling application of artificial intelligence is to generate a video of a target person performing arbitrary desired motion (from a source person). While the state-of-the-a…