Multisource Remote Sensing Imagery Fusion Scheme Based on Bidimensional Empirical Mode Decomposition (BEMD) and Its Application to the Extraction of Bamboo Forest. - Guang Liu 001; Lei Li; Hui Gong; Qingwen Jin; Xinwu Li; Rui Song 004; Yun Chen; Yu Chen; Chengxin He; Yuqing Huang; Yuefeng Yao (Remote. Sens., 2017)

Construction of a heterogeneous information network by fusing multi-source biomedical data. - Chengxin He; Yidan Zhang; Jie Zuo (ACM TUR-C, 2019)

ATOM: Construction of Anti-tumor Biomaterial Knowledge Graph by Biomedicine Literature. - Tingting Wang 009; Lei Duan; Chengxin He; Geng Deng; Ruiqi Qin 001; Yidan Zhang (BIBM, 2019)

SCENARIO: Discovery of Similar Aspects for Gene Similarity Explanation from Gene Information Network. - Yidan Zhang; Lei Duan; Huiru Zheng; Jesse Li-Ling; Bin Hu; Ruiqi Qin 001; Chengxin He (BIBM, 2019)

DRAMA: Discovering Disease-related circRNA-miRNA-mRNA Axes from Disease-RNA Information Network. - Chengxin He; Lei Duan; Huiru Zheng; Jesse Li-Ling; Longhai Li (BIBM, 2020)

TSGYE: Two-Stage Grape Yield Estimation. - Geng Deng; Tianyu Geng; Chengxin He; Xinao Wang; Bangjun He; Lei Duan (ICONIP (4), 2020)

Transformer-Based Representation Learning on Temporal Heterogeneous Graphs. - Longhai Li; Lei Duan; Junchen Wang; Guicai Xie; Chengxin He; Zihao Chen; Song Deng (APWeb/WAIM (2), 2022)

Efficient Gene Community Search to Discover Similar Aspects for Similarity Explanation. - Zihao Chen; Lei Duan; Chengxin He; Yuening Qu; Yidan Zhang (BIBM, 2022)

MOVE: Integrating Multi-source Information for Predicting DTI via Cross-view Contrastive Learning. - Yuening Qu; Chengxin He; Jin Yin; Zhenjiang Zhao; Jingyu Chen; Lei Duan (BIBM, 2022)

An explainable framework for drug repositioning from disease information network. - Chengxin He; Lei Duan; Huiru Zheng; Linlin Song; Menglin Huang (Neurocomputing, 2022)

Efficient mining of concept-hierarchy aware distinguishing sequential patterns. - Chengxin He; Lei Duan; Guozhu Dong; Jyrki Nummenmaa; Tingting Wang 009; Tinghai Pang (Knowl. Based Syst., 2022)

Mining Similar Aspects for Gene Similarity Explanation Based on Gene Information Network. - Yidan Zhang; Lei Duan; Huiru Zheng; Jesse Li-Ling; Ruiqi Qin 001; Zihao Chen; Chengxin He; Tingting Wang 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Learning Temporal Graph Representation via Memory-Aware Autoencoder. - Jingyu Chen; Chengxin He; Yuening Qu; Zhenyang Yu; Yuanhao Zhang; Lei Duan (APWeb-WAIM (1), 2023)

Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning. - Yuanhao Zhang; Chengxin He; Longhai Li; Bingzhe Zhang; Lei Duan; Jie Zuo (APWeb/WAIM (3), 2023)

SIDE: Sequence-Interaction-Aware Dual Encoder for Predicting circRNA Back-Splicing Events. - Chengxin He; Lei Duan; Huiru Zheng; Yuening Qu; Zhenyang Yu (BIBM, 2023)

DARE: Sequence-Structure Dual-Aware Encoder for RNA-Protein Binding Prediction. - Luhan Shen; Chengxin He; Haiying Wang; Yuening Qu; Lei Duan (BIBM, 2023)

MGDTI: Graph Transformer with Meta-Learning for Drug-Target Interaction Prediction. - Zhenjiang Zhao; Chengxin He; Yuening Qu; Huiru Zheng; Lei Duan; Jie Zuo (BIBM, 2023)

Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-Margin. - Bingzhe Zhang; Xinye Wang; Zhenyang Yu; Yuanhao Zhang; Chengxin He; Song Deng; Zhaohang Luo; Lei Duan (ICDM, 2023)

Analysis and Prospects of Knowledge Graph-based Research on Public Transportation for the Elderly. - Yanmin Xue; Chengxin He (ICMLCA, 2023)

Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs. - Longhai Li; Lei Duan; Junchen Wang; Chengxin He; Zihao Chen; Guicai Xie; Song Deng; Zhaohang Luo (Data Sci. Eng., 2023)

Substructure-Guided Graph-Level Anomaly Detection with Attention-Aware Aggregation. - Shaojun Duan; Xinye Wang; Zhenyang Yu; Chengxin He; Zhaohang Luo; Song Deng; Lei Duan (APWeb/WAIM (4), 2024)

EvoREG: Evolutional Modeling with Relation-Entity Dual-Guidance for Temporal Knowledge Graph Reasoning. - Peiheng He; Yingjie Xiao; Chengxin He; Lei Duan (APWeb/WAIM (2), 2024)

SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction. - Runze Ma; Chengxin He; Huiru Zheng; Xinye Wang; Haiying Wang; Yidan Zhang; Lei Duan (BIBM, 2024)

Towards Better Zero-Shot Anomaly Detection under Distribution Shift with CLIP. - Jiyao Gao; Chengxin He; Lei Duan; Jie Zuo (BMVC, 2024)

Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. - Yang Wang; Xinye Wang; Chengxin He; Xiaocong Chen; Zhaohang Luo; Lei Duan; Jie Zuo (DASFAA (7), 2024)

Interaction Behavior Based Urban Bus Stop Research on Aging Adaptive Design. - Yanmin Xue; Chengxin He (HCI (57), 2024)

An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection. - Xinye Wang; Lei Duan; Chengxin He; Yuanyuan Chen; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Robust Multi-Kernel Nearest Neighborhood for Outlier Detection. - Xinye Wang; Lei Duan; Zhenyang Yu; Chengxin He; Zhifeng Bao (IEEE Trans. Knowl. Data Eng., 2024)