| 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 | 126 | 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 | 119 | 2023 |
| 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 | 100 | 2021 |
| 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 | 55 | 2022 |
| Scientific large language models: A survey on biological & chemical domains Q Zhang, K Ding, T Lv, X Wang, Q Yin, Y Zhang, J Yu, Y Wang, X Li, ... ACM Computing Surveys 57 (6), 1-38, 2025 | 50 | 2025 |
| InstructProtein: Aligning Human and Protein Language via Knowledge Instruction Z Wang, Q Zhang, K Ding, M Qin, X Zhuang, X Li, H Chen ACL 2024, 2023 | 28 | 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 | 27* | 2023 |
| 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 | 21 | 2023 |
| Knowledge-aware contrastive molecular graph learning Y Fang, H Yang, X Zhuang, X Shao, X Fan, H Chen arXiv preprint arXiv:2103.13047, 2021 | 20 | 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 | 13 | 2023 |
| StableMask: Refining Causal Masking in Decoder-only Transformer Q Yin, X He, X Zhuang, Y Zhao, J Yao, X Shen, Q Zhang ICML 2024, 2024 | 8 | 2024 |
| Sciknoweval: Evaluating multi-level scientific knowledge of large language models K Feng, K Ding, W Wang, X Zhuang, Z Wang, M Qin, Y Zhao, J Yao, ... arXiv preprint arXiv:2406.09098, 2024 | 4 | 2024 |
| Instructbiomol: Advancing biomolecule understanding and design following human instructions X Zhuang, K Ding, T Lyu, Y Jiang, X Li, Z Xiang, Z Wang, M Qin, K Feng, ... arXiv preprint arXiv:2410.07919, 2024 | 3 | 2024 |
| Knowledge-aware Reinforced Language Models for Protein Directed Evolution Y Wang, Q Zhang, M Qin, X Zhuang, X Li, Z Gong, Z Wang, Y Zhao, J Yao, ... ICML 2024, 2024 | 2 | 2024 |
| Enhancing Cross Text-Molecule Learning by Self-Augmentation Y Jiang, X Zhuang, K Ding, Q Zhang, H Chen Findings of the Association for Computational Linguistics ACL 2024, 9551-9565, 2024 | 1 | 2024 |
| DePLM: Denoising Protein Language Models for Property Optimization Z Wang, K Ding, M Qin, X Li, X Zhuang, Y Zhao, J Yao, Q Zhang, H Chen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1 | 2024 |
| Multi-purpose controllable protein generation via prompted language models Z Wang, B Chen, K Ding, J Cao, M Qin, Y Niu, X Zhuang, X Li, K Feng, ... bioRxiv, 2024.11. 17.624051, 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 |
Chen Huajun, Professor, PhDCollege of Computer Science, Zhejiang UniversityAdresă de e-mail confirmată pe zju.edu.cn