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)

Identifying protein complexes based on an edge weight algorithm and core-attachment structure. - Rongquan Wang; Guixia Liu; Caixia Wang (BMC Bioinform., 2019)

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 001; Guixia Liu; Rongquan Wang; Liyan Sun; Ping Zhang 025 (IEEE Access, 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 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)

Device-Adaptive 2D Gaze Estimation: A Multi-Point Differential Framework. - Runtong Li; Huimin Ma 001; Rongquan Wang; Jiawei Ding (ICIG (2), 2021)

Depression Detection by Combining Eye Movement with Image Semantics. - Yuxin Lin; Huimin Ma 001; Zeyu Pan; Rongquan Wang (ICIP, 2021)

LiDAR-Based Symmetrical Guidance for 3D Object Detection. - Huazhen Chu; Huimin Ma 001; Haizhuang Liu; Rongquan Wang (PRCV (4), 2021)

STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-expression Recognition. - Xinhui Zhao; Huimin Ma 001; Rongquan Wang (PRCV (1), 2021)

Eliminating Spatial Ambiguity for Weakly Supervised 3D Object Detection without Spatial Labels. - Haizhuang Liu; Huimin Ma 001; Yilin Wang; Bochao Zou; Tianyu Hu; Rongquan Wang; Jiansheng Chen (ACM Multimedia, 2022)

Detecting protein complexes with multiple properties by an adaptive harmony search algorithm. - Rongquan Wang; Caixia Wang; Huimin Ma 001 (BMC Bioinform., 2022)

Correction: Detecting protein complexes with multiple properties by an adaptive harmony search algorithm. - Rongquan Wang; Caixia Wang; Huimin Ma 001 (BMC Bioinform., 2022)

Visibility of points: Mining occlusion cues for monocular 3D object detection. - Huazhen Chu; Lisha Mo; Rongquan Wang; Tianyu Hu; Huimin Ma 001 (Neurocomputing, 2022)

Learning representative viewpoints in 3D shape recognition. - Huazhen Chu; Chao Le; Rongquan Wang; Xi Li 010; Huimin Ma 001 (Vis. Comput., 2022)

Multi-source Information Fusion for Depression Detection. - Rongquan Wang; Huiwei Wang; Yan Hu; Lin Wei; Huimin Ma 001 (PRCV (5), 2023)

PLS: Unsupervised Domain Adaptation for 3d Object Detection Via Pseudo-Label Sizes. - Shijie Chen; Rongquan Wang; Xin Li 034; Yuchen Wu; Haizhuang Liu; Jiansheng Chen; Huimin Ma 001 (ICASSP, 2024)

EMo Transformer: Transformer-Based Depression Detection via Eye Movements. - Xin Li 034; Haizhuang Liu; Rongquan Wang; Bochao Zou; Yuxin Lin; Huimin Ma 001 (ICME, 2024)

CMT: Co-training Mean-Teacher for Unsupervised Domain Adaptation on 3D Object Detection. - Shijie Chen; Junbao Zhuo; Xin Li 034; Haizhuang Liu; Rongquan Wang; Jiansheng Chen; Huimin Ma 001 (ACM Multimedia, 2024)

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 001 (ICASSP, 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)