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2020 – today
- 2024
[c8]Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan:
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. ICLR 2024- [c7]Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan:
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. ICLR 2024 - [c6]Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu:
Multimodal Molecular Pretraining via Modality Blending. ICLR 2024 - [c5]Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan:
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning. ICML 2024 - [c4]Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan:
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion. ICML 2024 - [i10]Han Tang, Shikun Feng, Bicheng Lin, Yuyan Ni, Jingjing Liu, Wei-Ying Ma, Yanyan Lan:
Contextual Molecule Representation Learning from Chemical Reaction Knowledge. CoRR abs/2402.13779 (2024) - [i9]Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan:
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion. CoRR abs/2403.12987 (2024) - [i8]Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan:
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning. CoRR abs/2405.10343 (2024) - [i7]Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei-Ying Ma, Zhi-Ming Ma, Qiwei Ye, Yanyan Lan:
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction. CoRR abs/2407.11086 (2024) - [i6]Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. CoRR abs/2409.01081 (2024) - 2023
- [c3]Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma:
Fractional Denoising for 3D Molecular Pre-training. ICML 2023: 9938-9961 - [i5]Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu:
Unified Molecular Modeling via Modality Blending. CoRR abs/2307.06235 (2023) - [i4]Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma:
Fractional Denoising for 3D Molecular Pre-training. CoRR abs/2307.10683 (2023) - [i3]Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhiming Ma, Yanyan Lan:
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. CoRR abs/2310.07229 (2023) - [i2]Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan:
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. CoRR abs/2311.02124 (2023) - [i1]Yuyan Ni, Yanyan Lan, Ao Liu, Zhiming Ma:
Elastic Information Bottleneck. CoRR abs/2311.03955 (2023)
2010 – 2019
- 2013
- [c2]Shufeng Zhou, Zhuoming Xu
, Yuyan Ni, Haifei Zhang:
R2RML Processor for Materializing RDF View of Relational Data: Algorithms and Experiments. IEEE WISA 2013: 450-455 - 2012
- [j1]Zhuoming Xu, Yuyan Ni, Wenjie He, Lili Lin, Qin Yan:
Automatic extraction of OWL ontologies from UML class diagrams: a semantics-preserving approach. World Wide Web 15(5-6): 517-545 (2012)
2000 – 2009
- 2009
- [c1]Zhuoming Xu, Yuyan Ni, Lili Lin, Huajian Gu:
A Semantics-Preserving Approach for Extracting OWL Ontologies from UML Class Diagrams. FGIT-DTA 2009: 122-136
Coauthor Index
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