| Conditional Antibody Design as 3D Equivariant Graph Translation X Kong, W Huang, Y Liu The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 121 | 2022 |
| Molecule Generation by Principal Subgraph Mining and Assembling X Kong, W Huang, Z Tan, Y Liu Advances in Neural Information Processing Systems (NeurIPS 2022) 35, 2550--2563, 2022 | 101 | 2022 |
| End-to-end full-atom antibody design X Kong, W Huang, Y Liu Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023 | 94 | 2023 |
| A survey of geometric graph neural networks: Data structures, models and applications J Han, J Cen, L Wu, Z Li, X Kong, R Jiao, Z Yu, T Xu, F Wu, Z Wang, H Xu, ... Frontiers of Computer Science 19 (11), 1911375, 2025 | 71 | 2025 |
| Stylized story generation with style-guided planning X Kong, J Huang, Z Tung, J Guan, M Huang Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 39 | 2021 |
| Full-atom peptide design with geometric latent diffusion X Kong, Y Jia, W Huang, Y Liu The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 31 | 2024 |
| Generalist equivariant transformer towards 3d molecular interaction learning X Kong, W Huang, Y Liu Proceedings of the 41st International Conference on Machine Learning (ICML 2024), 2023 | 25 | 2023 |
| Equivariant pretrained transformer for unified geometric learning on multi-domain 3d molecules R Jiao, X Kong, Z Yu, W Huang, Y Liu ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 2024 | 16 | 2024 |
| UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design X Kong, Z Zhang, Z Zhang, R Jiao, J Ma, W Huang, K Liu, Y Liu arXiv preprint arXiv:2503.19300, 2025 | 9 | 2025 |
| Peptide design through binding interface mimicry with PepMimic X Kong, R Jiao, H Lin, R Guo, W Huang, WY Ma, Z Wang, Y Liu, J Ma Nature biomedical engineering, 1-16, 2025 | 3* | 2025 |
| 3D structure prediction of atomic systems with flow-based direct preference optimization R Jiao, X Kong, W Huang, Y Liu Advances in Neural Information Processing Systems 37, 110197-110217, 2024 | 3 | 2024 |
| FlowDesign: Improved design of antibody CDRs through flow matching and better prior distributions J Wu, X Kong, N Sun, J Wei, S Shan, F Feng, F Wu, J Peng, L Zhang, ... Cell Systems 16 (6), 2025 | 2 | 2025 |
| An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning W Huang, R Jiao, X Kong, L Zhang, Z Yu, F Ren, W Tan, Y Liu | 1 | 2025 |
| SpecLig: Energy-Guided Hierarchical Model for Target-Specific 3D Ligand Design P Zhang, R Han, X Kong, T Chen, J Ma bioRxiv, 2025.11. 06.687093, 2025 | | 2025 |
| Peptide2Mol: A Diffusion Model for Generating Small Molecules as Peptide Mimics for Targeted Protein Binding X He, Y Zhang, H Lin, X Peng, X Kong, M Li, J Ma arXiv preprint arXiv:2511.04984, 2025 | | 2025 |
| Latent Retrieval Augmented Generation of Cross-Domain Protein Binders Z Zhang, X Kong, W Huang, Y Liu arXiv preprint arXiv:2510.10480, 2025 | | 2025 |
| Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints D Jiang, X Kong, J Han, M Li, R Jiao, W Huang, S Ermon, J Ma, Y Liu arXiv preprint arXiv:2507.04225, 2025 | | 2025 |
| CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design Z Yang, H Xie, Y Jia, X Kong, J Zheng, Z Zhang, Y Liu, L Liu, Y Lan The Thirty-ninth Annual Conference on Neural Information Processing Systems …, 0 | | |