Geyan Ye

According to our database, Geyan Ye authored at least 11 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Annotation-guided Protein Design with Multi-Level Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

CoRR, 2024

Functional Protein Design with Local Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

CoRR, 2024

DrugAssist: a large language model for molecule optimization.

Geyan Ye, Xibao Cai, Houtim Lai, Xing Wang, Junhong Huang, Longyue Wang, Wei Liu, Xiangxiang Zeng

Briefings Bioinform., 2024

2022

Cross-dependent graph neural networks for molecular property prediction.

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang

Bioinform., 2022

2020

Exploiting potential of deep neural networks by layer-wise fine-grained parallelism.

Wenbin Jiang, Yangsong Zhang, Pai Liu, Jing Peng, Laurence T. Yang, Geyan Ye, Hai Jin

Future Gener. Comput. Syst., 2020

Dual Message Passing Neural Network for Molecular Property Prediction.

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang

CoRR, 2020

2019

A Novel Stochastic Gradient Descent Algorithm Based on Grouping over Heterogeneous Cluster Systems for Distributed Deep Learning.

Wenbin Jiang, Geyan Ye, Laurence T. Yang, Jian Zhu, Yang Ma, Xia Xie, Hai Jin

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks.

Wenbin Jiang, Yangsong Zhang, Pai Liu, Geyan Ye, Hai Jin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2016

A Fine-Grained Parallel Intra Prediction for HEVC Based on GPU.

Wenbin Jiang, Ye Chi, Hai Jin, Xiaofei Liao, Yangsong Zhang, Geyan Ye

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016