| Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures S Luo, Y Su, X Peng, S Wang, J Peng, J Ma Advances in Neural Information Processing Systems 35, 9754-9767, 2022 | 125 | 2022 |
| Pocket2mol: Efficient molecular sampling based on 3d protein pockets X Peng, S Luo, J Guan, Q Xie, J Peng, J Ma International Conference on Machine Learning, 17644-17655, 2022 | 115 | 2022 |
| 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction J Guan, WW Qian, X Peng, Y Su, J Peng, J Ma The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 69 | 2023 |
| 3DLinker: An E (3) Equivariant Variational Autoencoder for Molecular Linker Design Y Huang, X Peng, J Ma, M Zhang Thirty-ninth International Conference on Machine Learning (ICML 2022), 2022 | 37 | 2022 |
| Boosting the Cycle Counting Power of Graph Neural Networks with I -GNNs Y Huang, X Peng, J Ma, M Zhang The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 28 | 2022 |
| MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation X Peng, J Guan, Q Liu, J Ma Fortieth International Conference on Machine Learning (ICML 2023), 2023 | 21 | 2023 |
| Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning X Peng, Y Lei, P Feng, L Jia, J Ma, D Zhao, J Zeng Nature machine intelligence 5 (4), 395-407, 2023 | 10 | 2023 |
| MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System Y Shao, K Zhao, Z Cao, Z Peng, X Peng, P Li, Y Wang, J Ma Sensors 22 (11), 4081, 2022 | 4 | 2022 |
| Pocket-specific 3d molecule generation by fragment-based autoregressive diffusion models X Peng, J Guan, J Peng, J Ma | 3 | 2022 |
| LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion J Guan, X Peng, PQ Jiang, Y Luo, J Peng, J Ma Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
