Pengyong Li

27 papers A* 1Misc 1Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic trust evaluation based on heterogeneous graph convolution network and lightweight attention.
Appl. Soft Comput.
Pengyong Li, Meng Wu, Jiaqi Xia, Siguang Chen, Wei Shi
2026 J jnl
SHE-SFL: An efficient and privacy-preserving heterogeneous federated split learning architecture based on homomorphic encryption.
Future Gener. Comput. Syst.
Jiaqi Xia, Meng Wu, Pengyong Li
2025 J jnl
Beyond Benchmark: LLMs Evaluation with an Anthropomorphic and Value-oriented Roadmap.
CoRR
Jun Wang, Ninglun Gu, Kailai Zhang, Zijiao Zhang, Yelun Bao, Jin Yang, Xu Yin, Liwei Liu, Yihuan Liu, Pengyong Li, Gary G. Yen, Junchi Yan
2025 J jnl
RNA language model and graph attention network for RNA and small molecule binding sites prediction.
Bioinform.
Saisai Sun, Jianyi Yang, Lin Gao, Pengyong Li, Yumeng Liu
2025 J jnl
SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning.
Future Gener. Comput. Syst.
Jiaqi Xia, Meng Wu, Pengyong Li
2025 J jnl
ZeroGEN: leveraging language models for zero-shot ligand design from protein sequences.
Bioinform.
Yangyang Chen, Zixu Wang, Pengyong Li, Li Zeng, Xiangxiang Zeng, Lei Xu
2024 J jnl
A deep learning approach for rational ligand generation with toxicity control via reactive building blocks.
Nat. Comput. Sci.
Pengyong Li, Kaihao Zhang, Tianxiao Liu, Ruiqiang Lu, Yangyang Chen, Xiaojun Yao, Lin Gao, Xiangxiang Zeng
2024 J jnl
DeepDR: a deep learning library for drug response prediction.
Bioinform.
Zhengxiang Jiang, Pengyong Li
2024 J jnl
Improving drug response prediction via integrating gene relationships with deep learning.
Briefings Bioinform.
Pengyong Li, Zhengxiang Jiang, Tianxiao Liu, Xinyu Liu, Hui Qiao, Xiaojun Yao
2024 J jnl
MuLDOM: Forecasting Multivariate Anomalies on Edge Devices in IIoT Using Multibranch LSTM and Differential Overfitting Mitigation Model.
IEEE Internet Things J.
Pengyong Li, Meng Wu, Yujie Zhang, Jiaqi Xia, Qian Wang
2024 J jnl
PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism.
Inf. Sci.
Jiaqi Xia, Pengyong Li, Yiming Mao, Meng Wu
2024 J jnl
Secure architecture for Industrial Edge of Things(IEoT): A hierarchical perspective.
Comput. Networks
Pengyong Li, Jiaqi Xia, Qian Wang, Yujie Zhang, Meng Wu
2023 J jnl
Deep generative model for drug design from protein target sequence.
J. Cheminformatics
Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
2023 J jnl
Improving drug-target affinity prediction via feature fusion and knowledge distillation.
Briefings Bioinform.
Ruiqiang Lu, Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao
2022 J jnl
An adaptive graph learning method for automated molecular interactions and properties predictions.
Nat. Mach. Intell.
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
2022 J jnl
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer.
CoRR
Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie
2022 Misc conf
HCL: Improving Graph Representation with Hierarchical Contrastive Learning.
ISWC
Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022 J jnl
HCL: Improving Graph Representation with Hierarchical Contrastive Learning.
CoRR
Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2021 J jnl
An effective self-supervised framework for learning expressive molecular global representations to drug discovery.
Briefings Bioinform.
Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2021 J jnl
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity.
PLoS Comput. Biol.
Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng
2021 A* conf
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.
IJCAI
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
2021 J jnl
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.
CoRR
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
2021 J jnl
Simulated annealing for optimization of graphs and sequences.
CoRR
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021 J jnl
Simulated annealing for optimization of graphs and sequences.
Neurocomputing
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021 J jnl
TrimNet: learning molecular representation from triplet messages for biomedicine.
Briefings Bioinform.
Pengyong Li, Yuquan Li, Chang-Yu Hsieh, Shengyu Zhang, Xianggen Liu, Huanxiang Liu, Sen Song, Xiaojun Yao
2020 J jnl
Learn molecular representations from large-scale unlabeled molecules for drug discovery.
CoRR
Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2020 — conf
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking.
TREC
Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie