12 citations · 25 across the 9 of their papers we have counts for
9 papers
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction
Zihao Li, Changkun Jiang, Jianqiang Li
Automatic protein function prediction (AFP) is classified as a large-scale multi-label classification problem aimed at automating protein enrichment analysis to eliminate the curre…
Dynamic Local Feature Aggregation for Learning on Point Clouds
Zihao Li, Pan Gao, Hui Yuan +1
Existing point cloud learning methods aggregate features from neighbouring points relying on constructing graph in the spatial domain, which results in feature update for each poin…
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis, Tim Dockhorn, Zihao Li +1
Cryo-electron microscopy (cryo-EM) is unique among tools in structural biology in its ability to image large, dynamic protein complexes. Key to this ability is image processing alg…
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting
Zihao Li, Chunhua Wu, Shenglin Wu +3
In recent years, some researchers focused on using a single image to obtain a large number of samples through multi-scale features. This study intends to a brand-new idea that requ…
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs
Hui Li, Zihao Li, Rui Ma +1
Class activation map (CAM) has been widely studied for visual explanation of the internal working mechanism of convolutional neural networks. The key of existing CAM-based methods…
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
Shu Zhang, Zihao Li, Hong-Yu Zhou +2
The difficulties in both data acquisition and annotation substantially restrict the sample sizes of training datasets for 3D medical imaging applications. As a result, constructing…
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Shu Zhang, Jincheng Xu, Yu-Chun Chen +4
Universal lesion detection from computed tomography (CT) slices is important for comprehensive disease screening. Since each lesion can locate in multiple adjacent slices, 3D conte…
Implicit Progressive-Iterative Approximation for Curve and Surface Reconstruction
Yusuf Fatihu Hamza, Hongwei Lin, Zihao Li
Implicit curve and surface reconstruction attracts the attention of many researchers and gains a wide range of applications, due to its ability to describe objects with complicated…
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
Zihao Li, Shu Zhang, Junge Zhang +3
Universal lesion detection (ULD) on computed tomography (CT) images is an important but underdeveloped problem. Recently, deep learning-based approaches have been proposed for ULD,…