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Geyan Ye
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2020 – today
- 2024
- [i4]Geyan Ye, Xibao Cai, Houtim Lai, Xing Wang, Junhong Huang, Longyue Wang, Wei Liu, Xiangxiang Zeng:
DrugAssist: A Large Language Model for Molecule Optimization. CoRR abs/2401.10334 (2024) - [i3]Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong:
Functional Protein Design with Local Domain Alignment. CoRR abs/2404.16866 (2024) - [i2]Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong:
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. CoRR abs/2404.16880 (2024) - 2022
- [j2]Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Cross-dependent graph neural networks for molecular property prediction. Bioinform. 38(7): 2003-2009 (2022) - 2020
- [j1]Wenbin Jiang, Yangsong Zhang, Pai Liu, Jing Peng, Laurence T. Yang, Geyan Ye, Hai Jin:
Exploiting potential of deep neural networks by layer-wise fine-grained parallelism. Future Gener. Comput. Syst. 102: 210-221 (2020) - [i1]Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Dual Message Passing Neural Network for Molecular Property Prediction. CoRR abs/2005.13607 (2020)
2010 – 2019
- 2019
- [c3]Wenbin Jiang, Geyan Ye, Laurence T. Yang, Jian Zhu, Yang Ma, Xia Xie, Hai Jin:
A Novel Stochastic Gradient Descent Algorithm Based on Grouping over Heterogeneous Cluster Systems for Distributed Deep Learning. CCGRID 2019: 391-398 - 2018
- [c2]Wenbin Jiang, Yangsong Zhang, Pai Liu, Geyan Ye, Hai Jin:
FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks. ICANN (3) 2018: 321-330 - 2016
- [c1]Wenbin Jiang, Ye Chi, Hai Jin, Xiaofei Liao, Yangsong Zhang, Geyan Ye:
A Fine-Grained Parallel Intra Prediction for HEVC Based on GPU. ICPADS 2016: 778-784
Coauthor Index
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last updated on 2024-08-07 21:32 CEST by the dblp team
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