| Deep co-image-label hashing for multi-label image retrieval X Shen#, G Dong#, Y Zheng*, L Lan, IW Tsang, QS Sun IEEE Transactions on Multimedia 24, 1116-1126, 2021 | 45 | 2021 |
| When CLIP meets cross-modal hashing retrieval: A new strong baseline X Xia, G Dong*, F Li, L Zhu, X Ying* Information Fusion 100, 101968, 2023 | 33 | 2023 |
| Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS Z He, S Hu, Y Chen, S An, J Zhou, R Liu, J Shi, J Wang, G Dong, J Shi, ... Nature biotechnology 42 (10), 1594-1605, 2024 | 27 | 2024 |
| Object-aware semantics of attention for image captioning S Wang, L Lan, X Zhang, G Dong, Z Luo Multimedia Tools and Applications 79, 2013-2030, 2020 | 16 | 2020 |
| MetaLogo: a heterogeneity-aware sequence logo generator and aligner Y Chen, Z He, Y Men, G Dong, S Hu, X Ying Briefings in Bioinformatics 23 (2), bbab591, 2022 | 15 | 2022 |
| Collaborative subspace graph hashing for cross-modal retrieval X Zhang, G Dong*, Y Du*, C Wu, Z Luo*, C Yang Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 14 | 2018 |
| Semantic-consistent cross-modal hashing for large-scale image retrieval X Gu, G Dong, X Zhang, L Lan, Z Luo Neurocomputing 433, 181-198, 2021 | 13 | 2021 |
| Discriminative geometric-structure-based deep hashing for large-scale image retrieval G Dong, X Zhang, X Shen, L Lan, Z Luo, X Ying IEEE Transactions on Cybernetics 53 (10), 6236-6247, 2022 | 11 | 2022 |
| Label guided correlation hashing for large-scale cross-modal retrieval G Dong, X Zhang, L Lan, S Wang, Z Luo Multimedia Tools and Applications 78, 30895-30922, 2019 | 9 | 2019 |
| Incomplete cross-modal retrieval with deep correlation transfer D Shi, L Zhu, J Li, G Dong, H Zhang ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2024 | 8 | 2024 |
| Comprehensive strain-level analysis of the gut microbe Faecalibacterium prausnitzii in patients with liver cirrhosis Y Chen, P Liu, R Liu, S Hu, Z He, G Dong, C Feng, S An, X Ying Msystems 6 (4), 10.1128/msystems. 00775-21, 2021 | 8 | 2021 |
| Towards strain-level complexity: sequencing depth required for comprehensive single-nucleotide polymorphism analysis of the human gut microbiome P Liu, S Hu, Z He, C Feng, G Dong, S An, R Liu, F Xu, Y Chen, X Ying Frontiers in Microbiology 13, 828254, 2022 | 4 | 2022 |
| Discrete graph hashing via affine transformation G Dong, X Zhang, L Lan, X Huang, Z Luo 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 4 | 2018 |
| Towards making unsupervised graph hashing robust X Gu, G Dong, X Zhang, L Lan, Z Luo 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 3 | 2020 |
| scDAC: deep adaptive clustering of single-cell transcriptomic data with coupled autoencoder and Dirichlet process mixture model S An, J Shi, R Liu, Y Chen, J Wang, S Hu, X Xia, G Dong, X Bo, Z He, ... Bioinformatics 40 (4), btae198, 2024 | 1 | 2024 |
| A Joint Batch Correction and Adaptive Clustering Method of Single-Cell Transcriptomic Data S An, J Shi, R Liu, J Wang, S Hu, G Dong, X Ying, Z He Mathematics 11 (24), 4901, 2023 | 1 | 2023 |
| Learning deep discriminative embeddings via joint rescaled features and log-probability centers H Cai, X Zhang, L Lan, G Dong, C Xu, X Liu, Z Luo Pattern Recognition 114, 107852, 2021 | 1 | 2021 |
| Continual integration of single-cell multimodal data with MIRACLE J Zhou, Z He, J Wang, S Hu, T Kan, G Dong, J Shi, R Liu, L Ou-Yang, X Bo, ... bioRxiv, 2024.09. 24.613833, 2024 | | 2024 |
| Supplementary Material for scDAC: deep adaptive clustering of single-cell transcriptomic data with coupled autoencoder and Dirichlet process mixture model S AN, J SHI, R LIU, Y CHEN, J WANG, S HU, X XIA, G DONG, X BO, Z HE, ... | | |
Xiaomin YingCenter for Computational Biology, Beijing Institute of Basic Medical SciencesПотвърден имейл адрес: bmi.ac.cn
