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| E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction T Shen, Z Hu, Z Peng, J Chen, P Xiong, L Hong, L Zheng, Y Wang, I King, ... arXiv preprint arXiv:2207.01586, 2022 | 49 | 2022 |
| Self-supervised contrastive learning for integrative single cell RNA-seq data analysis W Han, Y Cheng, J Chen, H Zhong, Z Hu, S Chen, L Zong, L Hong, ... Briefings in Bioinformatics 23 (5), bbac377, 2022 | 47 | 2022 |
| AcrNET: predicting anti-CRISPR with deep learning Y Li, Y Wei, S Xu, Q Tan, L Zong, J Wang, Y Wang, J Chen, L Hong, Y Li Bioinformatics 39 (5), btad259, 2023 | 11 | 2023 |
| Weakly supervised training for eye fundus lesion segmentation in patients with diabetic retinopathy Y Li, M Zhu, G Sun, J Chen, X Zhu, J Yang Mathematical Biosciences and Engineering 19 (5), 5293-5311, 2022 | 10 | 2022 |
| Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation Q Wang, J Chen, Y Zhou, Y Li, L Zheng, S Wang, Z Li, S Cui Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4620-4627, 2022 | 5 | 2022 |
| Small Object Detection in High-Resolution Images Based on Multiscale Detection and Re-training G SUN, J CHEN, B LI, D YAN, Y LI, G XIE | | |
