Nianzu Yang
Cited by
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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
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
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
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
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
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
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
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
A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
N Yang, K Zeng, H Lu, Y Wu, Z Yuan, S Jiang, J Wu, Y Wang, J Yan
arXiv preprint arXiv:2401.09500, 2024
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