| AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification R You, Z Zhang, Z Wang, S Dai, H Mamitsuka, S Zhu Advances in Neural Information Processing Systems, 5812-5822, 2019 | 268 | 2019 |
| Critical assessment of metagenome interpretation: the second round of challenges F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ... Nature methods 19 (4), 429-440, 2022 | 191 | 2022 |
| SolidBin: improving metagenome binning with semi-supervised normalized cut Z Wang, Z Wang, YY Lu, F Sun, S Zhu Bioinformatics 35 (21), 4229-4238, 2019 | 56 | 2019 |
| Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer ML Stackpole, W Zeng, S Li, CC Liu, Y Zhou, S He, A Yeh, Z Wang, F Sun, ... Nature communications 13 (1), 5566, 2022 | 35 | 2022 |
| Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences Z Wang, Y Wang, JA Fuhrman, F Sun, S Zhu Briefings in bioinformatics 21 (3), 777-790, 2020 | 31 | 2020 |
| MetaBinner: a high-performance and stand-alone ensemble binning method to recover individual genomes from complex microbial communities Z Wang, P Huang, R You, F Sun, S Zhu Genome Biology 24 (1), 1, 2023 | 17 | 2023 |
| ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network Z Wang, S Li, R You, S Zhu, XJ Zhou, F Sun NAR Genomics and Bioinformatics 3 (3), lqab066, 2021 | 11 | 2021 |
| Protein language model powers accurate and fast sequence search for remote homology W Liu, Z Wang, R You, C Xie, H Wei, Y Xiong, J Yang, S Zhu bioRxiv, 2023.04. 03.535375, 2023 | 1 | 2023 |
| Effective binning of metagenomic contigs using contrastive multi-view representation learning Z Wang, R You, H Han, W Liu, F Sun, S Zhu Nature Communications 15 (1), 585, 2024 | | 2024 |
