Rongquan Wang

According to our database, Rongquan Wang authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A cognition-inspired multimodal framework with association features and pyramid graph fusion network for personality prediction.

Rongquan Wang, Xianyu Xu, Faten S. Alamri, Erik Cambria

Expert Syst. Appl., 2026

2025

A multimodal personality prediction framework based on adaptive graph transformer network and multi-task learning.

Rongquan Wang, Xile Zhao, Xianyu Xu, Yang Hao

Comput. Graph. Forum, 2025

Puzzle-MAE: A Puzzle-Inspired Mask Autoencoder for Multi-Modal Fusion.

Xin Li, Bochao Zou, Rongquan Wang, Huimin Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

DADet: Safeguarding Image Conditional Diffusion Models Against Adversarial and Backdoor Attacks via Diffusion Anomaly Detection.

Hongwei Yu, Xinlong Ding, Jiawei Li, Jinlong Wang, Yudong Zhang, Rongquan Wang, Huimin Ma, Jiansheng Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A novel multimodal personality prediction method based on pretrained models and graph relational transformer network.

Rongquan Wang, Xianyu Xu, Hao Yang, Lin Wei, Huimin Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

CMT: Co-training Mean-Teacher for Unsupervised Domain Adaptation on 3D Object Detection.

Shijie Chen, Junbao Zhuo, Xin Li, Haizhuang Liu, Rongquan Wang, Jiansheng Chen, Huimin Ma

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EMo Transformer: Transformer-Based Depression Detection via Eye Movements.

Xin Li, Haizhuang Liu, Rongquan Wang, Bochao Zou, Yuxin Lin, Huimin Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

PLS: Unsupervised Domain Adaptation for 3d Object Detection Via Pseudo-Label Sizes.

Shijie Chen, Rongquan Wang, Xin Li, Yuchen Wu, Haizhuang Liu, Jiansheng Chen, Huimin Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Multi-source Information Fusion for Depression Detection.

Rongquan Wang, Huiwei Wang, Yan Hu, Lin Wei, Huimin Ma

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Learning representative viewpoints in 3D shape recognition.

Huazhen Chu, Chao Le, Rongquan Wang, Xi Li, Huimin Ma

Vis. Comput., 2022

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

Huazhen Chu, Lisha Mo, Rongquan Wang, Tianyu Hu, Huimin Ma

Neurocomputing, 2022

Correction: Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.

Rongquan Wang, Caixia Wang, Huimin Ma

BMC Bioinform., 2022

Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.

Rongquan Wang, Caixia Wang, Huimin Ma

BMC Bioinform., 2022

Eliminating Spatial Ambiguity for Weakly Supervised 3D Object Detection without Spatial Labels.

Haizhuang Liu, Huimin Ma, Yilin Wang, Bochao Zou, Tianyu Hu, Rongquan Wang, Jiansheng Chen

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.

Xinhui Zhao, Huimin Ma, Rongquan Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

LiDAR-Based Symmetrical Guidance for 3D Object Detection.

Huazhen Chu, Huimin Ma, Haizhuang Liu, Rongquan Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Depression Detection by Combining Eye Movement with Image Semantics.

Yuxin Lin, Huimin Ma, Zeyu Pan, Rongquan Wang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Device-Adaptive 2D Gaze Estimation: A Multi-Point Differential Framework.

Runtong Li, Huimin Ma, Rongquan Wang, Jiawei Ding

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.

Rongquan Wang, Caixia Wang, Guixia Liu

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.

Liyan Sun, Guixia Liu, Rongquan Wang

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.

Jiazhi Song, Yanchun Liang, Guixia Liu, Rongquan Wang, Liyan Sun, Ping Zhang

IEEE Access, 2020

2019

Identifying protein complexes based on an edge weight algorithm and core-attachment structure.

Rongquan Wang, Guixia Liu, Caixia Wang

BMC Bioinform., 2019

2018

Predicting overlapping protein complexes based on core-attachment and a local modularity structure.

Rongquan Wang, Guixia Liu, Caixia Wang, Lingtao Su, Liyan Sun

BMC Bioinform., 2018