| NAGphormer: A tokenized graph transformer for node classification in large graphs J Chen, K Gao, G Li, K He International Conference on Learning Representations (ICLR 2022), 2022 | 165 | 2022 |
| Biot5: Enriching cross-modal integration in biology with chemical knowledge and natural language associations Q Pei, W Zhang, J Zhu, K Wu, K Gao, L Wu, Y Xia, R Yan arXiv preprint arXiv:2310.07276, 2023 | 62 | 2023 |
| Biot5+: Towards generalized biological understanding with iupac integration and multi-task tuning Q Pei, L Wu, K Gao, X Liang, Y Fang, J Zhu, S Xie, T Qin, R Yan arXiv preprint arXiv:2402.17810, 2024 | 31 | 2024 |
| Pre-training antibody language models for antigen-specific computational antibody design K Gao, L Wu, J Zhu, T Peng, Y Xia, L He, S Xie, T Qin, H Liu, K He, TY Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 23* | 2023 |
| Leveraging biomolecule and natural language through multi-modal learning: A survey Q Pei, L Wu, K Gao, J Zhu, Y Wang, Z Wang, T Qin, R Yan arXiv preprint arXiv:2403.01528, 2024 | 22 | 2024 |
| Fabind: Fast and accurate protein-ligand binding Q Pei, K Gao, L Wu, J Zhu, Y Xia, S Xie, T Qin, K He, TY Liu, R Yan Advances in Neural Information Processing Systems 36, 55963-55980, 2023 | 22 | 2023 |
| Examining user-friendly and open-sourced large gpt models: A survey on language, multimodal, and scientific gpt models K Gao, S He, Z He, J Lin, QZ Pei, J Shao, W Zhang arXiv preprint arXiv:2308.14149, 2023 | 10 | 2023 |
| Fabind+: Enhancing molecular docking through improved pocket prediction and pose generation K Gao, Q Pei, J Zhu, K He, L Wu arXiv preprint arXiv:2403.20261, 2024 | 4 | 2024 |
| NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs J Chen, C Liu, K Gao, G Li, K He IEEE Transactions on Big Data, 2024 | 3 | 2024 |
| Tokenized graph transformer with neighborhood augmentation for node classification in large graphs J Chen, C Liu, K Gao, G Li, K He arXiv preprint arXiv:2305.12677, 2023 | 3 | 2023 |
| SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation L He, P Jin, Y Min, S Xie, L Wu, T Qin, X Liang, K Gao, Y Jiang, TY Liu arXiv preprint arXiv:2410.24022, 2024 | 2 | 2024 |
| Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates K Gao, Y Wang, H Guan, Z Wang, Q Pei, JE Hopcroft, K He, L Wu arXiv preprint arXiv:2412.01564, 2024 | 1 | 2024 |
| 3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization Q Pei, L Wu, K Gao, J Zhu, R Yan arXiv preprint arXiv:2406.05797, 2024 | 1 | 2024 |
| Revisiting language encoding in learning multilingual representations S Luo, K Gao, S Zheng, G Ke, D He, L Wang, TY Liu arXiv preprint arXiv:2102.08357, 2021 | 1 | 2021 |
| Fast and Accurate Blind Flexible Docking Z Zhang, L Wu, K Gao, J Yao, T Qin, B Han arXiv preprint arXiv:2502.14934, 2025 | | 2025 |
| NatureLM: Deciphering the Language of Nature for Scientific Discovery Y Xia, P Jin, S Xie, L He, C Cao, R Luo, G Liu, Y Wang, Z Liu, YJ Chen, ... arXiv preprint arXiv:2502.07527, 2025 | | 2025 |
| Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble Q Pei, L Wu, K Gao, J Zhu, R Yan Proceedings of the 1st Workshop on Language+ Molecules (L+ M 2024), 48-54, 2024 | | 2024 |
| Leveraging Discrete Structural Information for Molecule-Text Modeling Q Pei, L Wu, K Gao, J Zhu, R Yan The Thirteenth International Conference on Learning Representations, 0 | | |
Lijun WuMicrosoft ResearchВерификована је имејл адреса на microsoft.com