2 citations · 6 across the 5 of their papers we have counts for
5 papers
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
Jie Liu, Mengting He, Xuequn Shang +3
Graph anomaly detection (GAD) has gained increasing attention in recent years due to its critical application in a wide range of domains, such as social networks, financial risk ma…
Variational Bayesian Inference for Bipartite Mixed-membership Stochastic Block Model with Applications to Collaborative Filtering
Jie Liu, Zifeng Ye, Kun Chen +1
Motivated by the connections between collaborative filtering and network clustering, we consider a network-based approach to improving rating prediction in recommender systems. We…
Imbalanced Node Classification Beyond Homophilic Assumption
Jie Liu, Mengting He, Guangtao Wang +3
Imbalanced node classification widely exists in real-world networks where graph neural networks (GNNs) are usually highly inclined to majority classes and suffer from severe perfor…
Application of Color Block Code in Image Scaling
Hao Wang, Yu Bai, Jie Liu +3
Aiming at the high cost of embedding annotation watermark in a narrow small area and the information distortion caused by the change of annotation watermark image resolution, this…
Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation
Zhongxu Hu, Yang Xing, Chen Lv +2
Head pose estimation is a crucial problem for many tasks, such as driver attention, fatigue detection, and human behaviour analysis. It is well known that neural networks are bette…