Rongquan Wang

22 papers A* 2A 2B 1Misc 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A cognition-inspired multimodal framework with association features and pyramid graph fusion network for personality prediction.
Expert Syst. Appl.
Rongquan Wang, Xianyu Xu, Faten S. Alamri, Erik Cambria
2025 J jnl
A multimodal personality prediction framework based on adaptive graph transformer network and multi-task learning.
Comput. Graph. Forum
Rongquan Wang, Xile Zhao, Xianyu Xu, Yang Hao
2025 Misc conf
A novel multimodal personality prediction method based on pretrained models and graph relational transformer network.
ICASSP
Rongquan Wang, Xianyu Xu, Hao Yang, Lin Wei, Huimin Ma
2025 A conf
Puzzle-MAE: A Puzzle-Inspired Mask Autoencoder for Multi-Modal Fusion.
ICME
Xin Li, Bochao Zou, Rongquan Wang, Huimin Ma
2024 A* conf
CMT: Co-training Mean-Teacher for Unsupervised Domain Adaptation on 3D Object Detection.
ACM Multimedia
Shijie Chen, Junbao Zhuo, Xin Li, Haizhuang Liu, Rongquan Wang, Jiansheng Chen, Huimin Ma
2024 A conf
EMo Transformer: Transformer-Based Depression Detection via Eye Movements.
ICME
Xin Li, Haizhuang Liu, Rongquan Wang, Bochao Zou, Yuxin Lin, Huimin Ma
2024 Misc conf
PLS: Unsupervised Domain Adaptation for 3d Object Detection Via Pseudo-Label Sizes.
ICASSP
Shijie Chen, Rongquan Wang, Xin Li, Yuchen Wu, Haizhuang Liu, Jiansheng Chen, Huimin Ma
2023 — conf
Multi-source Information Fusion for Depression Detection.
PRCV (5)
Rongquan Wang, Huiwei Wang, Yan Hu, Lin Wei, Huimin Ma
2022 J jnl
Correction: Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
BMC Bioinform.
Rongquan Wang, Caixia Wang, Huimin Ma
2022 J jnl
Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
BMC Bioinform.
Rongquan Wang, Caixia Wang, Huimin Ma
2022 A* conf
Eliminating Spatial Ambiguity for Weakly Supervised 3D Object Detection without Spatial Labels.
ACM Multimedia
Haizhuang Liu, Huimin Ma, Yilin Wang, Bochao Zou, Tianyu Hu, Rongquan Wang, Jiansheng Chen
2022 J jnl
Learning representative viewpoints in 3D shape recognition.
Vis. Comput.
Huazhen Chu, Chao Le, Rongquan Wang, Xi Li, Huimin Ma
2022 J jnl
Visibility of points: Mining occlusion cues for monocular 3D object detection.
Neurocomputing
Huazhen Chu, Lisha Mo, Rongquan Wang, Tianyu Hu, Huimin Ma
2021 B conf
Depression Detection by Combining Eye Movement with Image Semantics.
ICIP
Yuxin Lin, Huimin Ma, Zeyu Pan, Rongquan Wang
2021 — conf
Device-Adaptive 2D Gaze Estimation: A Multi-Point Differential Framework.
ICIG (2)
Runtong Li, Huimin Ma, Rongquan Wang, Jiawei Ding
2021 — conf
LiDAR-Based Symmetrical Guidance for 3D Object Detection.
PRCV (4)
Huazhen Chu, Huimin Ma, Haizhuang Liu, Rongquan Wang
2021 — conf
STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-expression Recognition.
PRCV (1)
Xinhui Zhao, Huimin Ma, Rongquan Wang
2020 J jnl
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
Jiazhi Song, Yanchun Liang, Guixia Liu, Rongquan Wang, Liyan Sun, Ping Zhang
2020 J jnl
A novel graph clustering method with a greedy heuristic search algorithm for mining protein complexes from dynamic and static PPI networks.
Inf. Sci.
Rongquan Wang, Caixia Wang, Guixia Liu
2020 J jnl
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
Liyan Sun, Guixia Liu, Rongquan Wang
2019 J jnl
Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
BMC Bioinform.
Rongquan Wang, Guixia Liu, Caixia Wang
2018 J jnl
Predicting overlapping protein complexes based on core-attachment and a local modularity structure.
BMC Bioinform.
Rongquan Wang, Guixia Liu, Caixia Wang, Lingtao Su, Liyan Sun