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Pengyong Li
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2020 – today
- 2025
- [j13]Jiaqi Xia
, Meng Wu
SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning. Future Gener. Comput. Syst. 162: 107487 (2025) - 2024
- [j12]Pengyong Li, Zhengxiang Jiang, Tianxiao Liu, Xinyu Liu
Improving drug response prediction via integrating gene relationships with deep learning. Briefings Bioinform. 25(3) (2024) - [j11]Pengyong Li
Secure architecture for Industrial Edge of Things(IEoT): A hierarchical perspective. Comput. Networks 251: 110641 (2024) - [j10]Pengyong Li, Meng Wu, YuJie Zhang, Jiaqi Xia, Qian Wang:
MuLDOM: Forecasting Multivariate Anomalies on Edge Devices in IIoT Using Multibranch LSTM and Differential Overfitting Mitigation Model. IEEE Internet Things J. 11(23): 38645-38656 (2024) - [j9]Jiaqi Xia
PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism. Inf. Sci. 669: 120519 (2024) - [j8]Pengyong Li, Kaihao Zhang, Tianxiao Liu, Ruiqiang Lu, Yangyang Chen, Xiaojun Yao, Lin Gao, Xiangxiang Zeng:
A deep learning approach for rational ligand generation with toxicity control via reactive building blocks. Nat. Comput. Sci. 4(11): 851-864 (2024) - 2023
- [j7]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) - [j6]Yangyang Chen
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15(1): 38 (2023) - 2022
- [j5]Yuquan Li
An adaptive graph learning method for automated molecular interactions and properties predictions. Nat. Mach. Intell. 4(7): 645-651 (2022) - [c3]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: 108-124 - [i5]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 abs/2203.00836 (2022) - [i4]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 abs/2210.12020 (2022) - 2021
- [j4]Pengyong Li, Yuquan Li
TrimNet: learning molecular representation from triplet messages for biomedicine. Briefings Bioinform. 22(4) (2021) - [j3]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) - [j2]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: 310-324 (2021) - [j1]Xianggen Liu, Yunan Luo
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Comput. Biol. 17(8) (2021) - [c2]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: 2694-2700 - [i3]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 abs/2110.01384 (2021) - [i2]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 abs/2110.13567 (2021) - 2020
- [c1]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 - [i1]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 abs/2012.11175 (2020)
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