4 citations · 10 across the 10 of their papers we have counts for
7 papers
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…
Video Frame Interpolation with Densely Queried Bilateral Correlation
Chang Zhou, Jie Liu, Jie Tang +1
Video Frame Interpolation (VFI) aims to synthesize non-existent intermediate frames between existent frames. Flow-based VFI algorithms estimate intermediate motion fields to warp t…
A Monkey Swing Counting Algorithm Based on Object Detection
Hao Chen, Zhe-Ming Lu, Jie Liu
This paper focuses on proposing a deep learning-based monkey swing counting algorithm. Nowadays, there are very few papers on monkey detection, and even fewer papers on monkey swin…
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence
Peipei Liu, Hong Li, Zuoguang Wang +3
Extracting cybersecurity entities such as attackers and vulnerabilities from unstructured network texts is an important part of security analysis. However, the sparsity of intellig…
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…