Molecular Contrastive Learning with Chemical Element Knowledge Graph Y Fang, Q Zhang, H Yang, X Zhuang, S Deng, W Zhang, M Qin, Z Chen, ... AAAI 2022, 2021 | 74 | 2021 |
scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network X Shao, H Yang, X Zhuang, J Liao, P Yang, J Cheng, X Lu, H Chen, X Fan Nucleic acids research 49 (21), e122-e122, 2021 | 71 | 2021 |
Knowledge graph-enhanced molecular contrastive learning with functional prompt Y Fang, Q Zhang, N Zhang, Z Chen, X Zhuang, X Shao, X Fan, H Chen Nature Machine Intelligence 5 (5), 542-553, 2023 | 40 | 2023 |
Benchmarking knowledge-driven zero-shot learning Y Geng, J Chen, X Zhuang, Z Chen, JZ Pan, J Li, Z Yuan, H Chen Journal of Web Semantics 75, 100757, 2023 | 22* | 2023 |
De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution J Liao, J Qian, Y Fang, Z Chen, X Zhuang, N Zhang, X Shao, Y Hu, ... Nature Communications (Top 25 Life and Biological Sciences Articles of 2022 …, 2022 | 22 | 2022 |
Knowledge-aware contrastive molecular graph learning Y Fang, H Yang, X Zhuang, X Shao, X Fan, H Chen arXiv preprint arXiv:2103.13047, 2021 | 21 | 2021 |
Graph Sampling-based Meta-Learning for Molecular Property Prediction X Zhuang, Q Zhang, B Wu, K Ding, Y Fang, H Chen IJCAI 2023, 2023 | 5 | 2023 |
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction Z Wang, Q Zhang, K Ding, M Qin, X Zhuang, X Li, H Chen | 5 | 2023 |
Scientific large language models: A survey on biological & chemical domains Q Zhang, K Ding, T Lyv, X Wang, Q Yin, Y Zhang, J Yu, Y Wang, X Li, ... arXiv preprint arXiv:2401.14656, 2024 | 3 | 2024 |
Learning Invariant Molecular Representation in Latent Discrete Space X Zhuang, Q Zhang, K Ding, Y Bian, X Wang, J Lv, H Chen, H Chen NeurIPS 2023, 2023 | 2 | 2023 |
StableMask: Refining Causal Masking in Decoder-only Transformer Q Yin, X He, X Zhuang, Y Zhao, J Yao, X Shen, Q Zhang arXiv preprint arXiv:2402.04779, 2024 | | 2024 |
Prompting Meta-Learned Hierarchical Graph Network for Molecular Property Prediction X Zhuang, K Ding, Y Fang, H Chen, Q Zhang 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI …, 2023 | | 2023 |
Meta-Knowledge Extraction: Uncertainty-Aware Prompted Meta-Learning B Wu, J Fang, X Zhuang, Z Jian, Y Wei, Q Zhang | | 2023 |
DLCNet: Enabling Long-Range Convolution with Data Dependency Q Yin, X Zhuang, K Ding, Q Zhang | | 2023 |