| Learning Substructure Invariance for Out-of-Distribution Molecular Representations N Yang, K Zeng, Q Wu, X Jia, J Yan Advances in Neural Information Processing Systems (NeurIPS, Spotlight), 2022 | 73 | 2022 |
| MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning N Yang, K Zeng, Q Wu, J Yan Proceedings of the ACM Web Conference 2023, 2023 | 26 | 2023 |
| Learning self-modulating attention in continuous time space with applications to sequential recommendation C Chen, H Geng, N Yang, J Yan, D Xue, J Yu, X Yang International Conference on Machine Learning, 1606-1616, 2021 | 14 | 2021 |
| Molecule generation for drug design: a graph learning perspective N Yang, H Wu, K Zeng, Y Li, J Yan arXiv preprint arXiv:2202.09212, 2022 | 12 | 2022 |
| Middle Layer Based Scalable Learned Index Scheme Y Gao, J Ye, N Yang, X Gao, G Chen Journal of Software 31 (3), 620-633, 2020 | 12* | 2020 |
| Easydgl: Encode, train and interpret for continuous-time dynamic graph learning C Chen, H Geng, N Yang, X Yang, J Yan arXiv preprint arXiv:2303.12341, 2023 | 3 | 2023 |
| EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model H Wu, W Liu, Y Bian, J Wu, N Yang, J Yan The Twelfth International Conference on Learning Representations, 2024 | 2* | 2024 |
| Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark Y Tang, H Xiong, N Yang, T Xiao, J Yan The Twelfth International Conference on Learning Representations (ICLR …, 2024 | | 2024 |
| SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification Y Tang, N Yang, M Long, J Yan Forty-first International Conference on Machine Learning, 0 | | |
| MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation N Yang, K Zeng, H Lu, Y Wu, Z Yuan, D Chen, S Jiang, J Wu, Y Wang, ... Forty-first International Conference on Machine Learning (ICML, Oral), 0 | | |
Junchi YanFIET & Prof., Shanghai Jiao Tong University (2018-), RSM of IBM Research (2011-2018)在 cs.sjtu.edu.cn 的电子邮件经过验证
