Rongquan Wang

Orcid: 0000-0002-3375-9561

According to our database1, Rongquan Wang authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multi-source Information Fusion for Depression Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Learning representative viewpoints in 3D shape recognition.
Vis. Comput., 2022

Visibility of points: Mining occlusion cues for monocular 3D object detection.
Neurocomputing, 2022

Correction: Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
BMC Bioinform., 2022

Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
BMC Bioinform., 2022

Eliminating Spatial Ambiguity for Weakly Supervised 3D Object Detection without Spatial Labels.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-expression Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

LiDAR-Based Symmetrical Guidance for 3D Object Detection.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Depression Detection by Combining Eye Movement with Image Semantics.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Device-Adaptive 2D Gaze Estimation: A Multi-Point Differential Framework.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
A novel graph clustering method with a greedy heuristic search algorithm for mining protein complexes from dynamic and static PPI networks.
Inf. Sci., 2020

SHEIB-AGM: A Novel Stochastic Approach for Detecting High-Order Epistatic Interactions Using Bioinformation With Automatic Gene Matrix in Genome-Wide Association Studies.
IEEE Access, 2020

A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning.
IEEE Access, 2020

2019
Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
BMC Bioinform., 2019

2018
Predicting overlapping protein complexes based on core-attachment and a local modularity structure.
BMC Bioinform., 2018


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