Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks. - Dong Chen 013; Wenjie Shu; Shaoliang Peng (BIBM, 2020)

Re-ranking Answer Selection with Similarity Aggregation. - Dong Chen 013; Shaoliang Peng; Kenli Li 001; Ying Xu; Jinling Zhang; Xiaolan Xie (SIGIR, 2020)

H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target. - Weiming Xiang 003; Dong Chen 013; Yingbo Cui 001; Shaoliang Peng (BIBM, 2021)

Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. - Xiaofei Li; Jiaxin Yang; Shuohao Li; Jun Lei 001; Jun Zhang 067; Dong Chen 013 (IJCAI, 2023)

Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. - Dong Chen 013; Xiang Zhao 002; Wei Wang 011; Zhen Tan; Weidong Xiao (WWW, 2023)

Camouflaged object detection with counterfactual intervention. - Xiaofei Li; Hongying Li; Hao Zhou 029; Miaomiao Yu; Dong Chen 013; Shuohao Li; Jun Zhang 067 (Neurocomputing, 2023)

Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment. - Dong Chen 013; Xiang Zhao 002; Weidong Xiao (ICDE, 2024)

A knowledge graphs representation method based on IsA relation modeling. - Pengfei Zhang; Dong Chen 013; Yang Fang 001; Weidong Xiao; Xiang Zhao 002; Zhen Tan; Rui Wang (Expert Syst. Appl., 2024)

Multiplex heterogeneous network representation learning with unipath based global awareness neural network. - Yuehang Cao; Xiang Zhao 002; Dong Chen 013; Hongbin Huang (Future Gener. Comput. Syst., 2024)