Pengyong Li

Publication Activity (10 Years)

Years Active: 2020-2025
Publications (10 Years): 19

Top Topics

Chemical Compounds

Graph Representation

Top Venues

Briefings Bioinform.

Future Gener. Comput. Syst.

Publications

Jiaqi Xia, Meng Wu, Pengyong Li
SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning. Future Gener. Comput. Syst. 162 (2025)
Pengyong Li, Zhengxiang Jiang, Tianxiao Liu, Xinyu Liu, Hui Qiao, Xiaojun Yao
Improving drug response prediction via integrating gene relationships with deep learning. Briefings Bioinform. 25 (3) (2024)
Jiaqi Xia, Pengyong Li, Yiming Mao, Meng Wu
PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism. Inf. Sci. 669 (2024)
Pengyong Li, Jiaqi Xia, Qian Wang, Yujie Zhang, Meng Wu
Secure architecture for Industrial Edge of Things(IEoT): A hierarchical perspective. Comput. Networks 251 (2024)
Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15 (1) (2023)
Ruiqiang Lu, Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao
Improving drug-target affinity prediction via feature fusion and knowledge distillation. Briefings Bioinform. 24 (3) (2023)
Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR (2022)
Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC (2022)
Yuquan Li, Chang-Yu Hsieh, Ruiqiang Lu, Xiaoqing Gong, Xiaorui Wang, Pengyong Li, Shuo Liu, Yanan Tian, Dejun Jiang, Jiaxian Yan, Qifeng Bai, Huanxiang Liu, Shengyu Zhang, Xiaojun Yao
An adaptive graph learning method for automated molecular interactions and properties predictions. Nat. Mach. Intell. 4 (7) (2022)
Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR (2022)
Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. 22 (6) (2021)
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR (2021)
Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Comput. Biol. 17 (8) (2021)
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI (2021)
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465 (2021)
Pengyong Li, Yuquan Li, Chang-Yu Hsieh, Shengyu Zhang, Xianggen Liu, Huanxiang Liu, Sen Song, Xiaojun Yao
TrimNet: learning molecular representation from triplet messages for biomedicine. Briefings Bioinform. 22 (4) (2021)
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
Simulated annealing for optimization of graphs and sequences. CoRR (2021)
Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC (2020)
Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR (2020)