Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. X Li, J Yang, S Li, J Lei, J Zhang, D Chen IJCAI, 1116-1124, 2023 | 27 | 2023 |
Predicting crispr-cas9 off-target with self-supervised neural networks D Chen, W Shu, S Peng 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 8 | 2020 |
Graph self-supervised learning with augmentation-aware contrastive learning D Chen, X Zhao, W Wang, Z Tan, W Xiao Proceedings of the ACM Web Conference 2023, 154-164, 2023 | 7 | 2023 |
Re-ranking answer selection with similarity aggregation D Chen, S Peng, K Li, Y Xu, J Zhang, X Xie Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 6 | 2020 |
Cist: differentiating concepts and instances based on spatial transformation for knowledge graph embedding P Zhang, D Chen, Y Fang, X Zhao, W Xiao Mathematics 10 (17), 3161, 2022 | 5 | 2022 |
A knowledge graphs representation method based on IsA relation modeling P Zhang, D Chen, Y Fang, W Xiao, X Zhao, Z Tan, R Wang Expert Systems With Applications 254, 124468, 2024 | 2 | 2024 |
Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment D Chen, X Zhao, W Xiao 2024 IEEE 40th International Conference on Data Engineering (ICDE), 3178-3190, 2024 | 1 | 2024 |
H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target W Xiang, D Chen, Y Cui, S Peng 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |