| Proximal exploration for model-guided protein sequence design Z Ren, J Li, F Ding, Y Zhou, J Ma, J Peng International Conference on Machine Learning, 18520-18536, 2022 | 48 | 2022 |
| Equivariant point cloud analysis via learning orientations for message passing S Luo, J Li, J Guan, Y Su, C Cheng, J Peng, J Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 37 | 2022 |
| Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning J Li, S Luo, C Deng, C Cheng, J Guan, L Guibas, J Ma, J Peng arXiv preprint arXiv:2201.13299, 2022 | 9* | 2022 |
| Full-Atom Peptide Design based on Multi-modal Flow Matching J Li, C Cheng, Z Wu, R Guo, S Luo, Z Ren, J Peng, J Ma arXiv preprint arXiv:2406.00735, 2024 | 7 | 2024 |
| Categorical Flow Matching on Statistical Manifolds C Cheng, J Li, J Peng, G Liu arXiv preprint arXiv:2405.16441, 2024 | 5 | 2024 |
| Orientation-aware graph neural networks for protein structure representation learning J Li, S Luo, C Deng, C Cheng, J Guan, L Guibas, J Ma, J Peng | 2 | 2022 |
| FAFE: immune complex modeling with geodesic distance loss on noisy group frames R Wu, R Guo, R Wang, S Luo, Y Xu, J Li, J Ma, Q Liu, Y Luo, J Peng arXiv preprint arXiv:2407.01649, 2024 | 1 | 2024 |
| Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework R Guo, R Wang, R Wu, Z Ren, J Li, S Luo, Z Wu, J Peng, J Ma The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 1 | |
| Geometric Point Attention Transformer for 3D Shape Reassembly J Li, C Cheng, J Ma, G Liu arXiv preprint arXiv:2411.17788, 2024 | | 2024 |
| Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension J Li, T Chen, S Luo, C Cheng, J Guan, R Guo, S Wang, G Liu, J Peng, ... arXiv preprint arXiv:2411.18463, 2024 | | 2024 |
Jian PengHelixon確認したメール アドレス: helixon.com