activity
20192023
most citedHierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Gated Cross-Attention Network for Depth Completion

Xiaogang Jia, Songlei Jian, Yusong Tan +3

Depth completion is a popular research direction in the field of depth estimation. The fusion of color and depth features is the current critical challenge in this task, mainly due…

cs.LG2023

RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision

Hongzuo Xu, Yijie Wang, Guansong Pang +3

Semi-supervised anomaly detection methods leverage a few anomaly examples to yield drastically improved performance compared to unsupervised models. However, they still suffer from…

cs.LG2021

DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities

Zhiyue Wu, Hongzuo Xu, Guansong Pang +4

DRAM failure prediction is a vital task in AIOps, which is crucial to maintain the reliability and sustainable service of large-scale data centers. However, limited work has been d…

cs.LG20211 cited

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning

Ning Liu, Songlei Jian, Dongsheng Li +3

Graph neural networks (GNN) have been proven to be mature enough for handling graph-structured data on node-level graph representation learning tasks. However, the graph pooling te…

cs.CV2019

STA: Adversarial Attacks on Siamese Trackers

Xugang Wu, Xiaoping Wang, Xu Zhou +1

Recently, the majority of visual trackers adopt Convolutional Neural Network (CNN) as their backbone to achieve high tracking accuracy. However, less attention has been paid to the…