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Publication search results
found 78 matches
- 2024
- Xu Cao, Pengli Lu:
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations. Comput. Biol. Chem. 113: 108201 (2024) - Pengli Lu, Jicheng Jiang:
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network. Comput. Biol. Chem. 110: 108085 (2024) - Pengli Lu, Ling Li:
MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism. Comput. Biol. Chem. 109: 108036 (2024) - Pengli Lu, Jialong Tian:
ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins. Comput. Biol. Chem. 112: 108115 (2024) - Pengli Lu, Wenqi Zhang, Jinkai Wu:
AMPCDA: Prediction of circRNA-disease associations by utilizing attention mechanisms on metapaths. Comput. Biol. Chem. 108: 107989 (2024) - Yuehao Wang, Pengli Lu:
GEHGAN: CircRNA-disease association prediction via graph embedding and heterogeneous graph attention network. Comput. Biol. Chem. 110: 108079 (2024) - Pengling Wang, Jianhao Ge, Xiaofang Xiao, Yutao Ye, Miaojia Lu:
Transport capacity analysis for sharing-corridor metro lines under virtual coupling. Comput. Ind. Eng. 192: 110217 (2024) - Pengli Lu, Junxia Yang, Wenzhi Liu:
Identification of key nodes in complex networks by using a joint technique of nonnegative matrix factorization and regularization. Phys. Commun. 65: 102384 (2024) - Wenzhi Liu, Pengli Lu, Teng Zhang:
Identifying Influential Nodes in Complex Networks From Semi-Local and Global Perspective. IEEE Trans. Comput. Soc. Syst. 11(2): 2105-2120 (2024) - Lin Xiao, Penglin Cao, Yongjun He, Liu Luo, Linju Li:
Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1416-1426 (2024) - Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu:
Deep Contrastive Representation Learning With Self-Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 3-15 (2024) - Xincao Xu, Kai Liu, Penglin Dai, Ruitao Xie, Jingjing Cao, Jiangtao Luo:
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(6): 4876-4891 (2024) - Lin Xiao, Penglin Cao, Wentong Song, Liu Luo, Wensheng Tang:
A Fixed-Time Noise-Tolerance ZNN Model for Time-Variant Inequality-Constrained Quaternion Matrix Least-Squares Problem. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10503-10512 (2024) - Zhiwen Xiao, Huanlai Xing, Rong Qu, Li Feng, Shouxi Luo, Penglin Dai, Bowen Zhao, Yuanshun Dai:
Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2192-2204 (2024) - Rui Zhang, Yafen Lu, Pengli Ji, Junxiao Xue, Xiaoran Yan:
Fine-grained Knowledge Graph-driven Video-Language Learning for Action Recognition. CoRR abs/2407.14146 (2024) - 2023
- Jiajie Luo, Lin Xiao, Penglin Cao, Xiaopeng Li:
A new class of robust and predefined-time consensus protocol based on noise-tolerant ZNN models. Appl. Soft Comput. 145: 110550 (2023) - Mingyang Yu, Bin Wang, Pengliang Ji, Bo Li, Luo Zhang, Qingdong Zhang:
Study on the dynamic stability of circular saw blade during medium density fiberboard sawing process with thermo-mechanical coupling. Comput. Electron. Agric. 211: 108042 (2023) - Pengli Lu, Rui Luan:
The generalized path matrix and energy. Discret. Math. Algorithms Appl. 15(2): 2250071:1-2250071:19 (2023) - Lu Wang, Shuaidong Guo, Pengli Zhang, Haodong Yue, Yaxiao Li, Chenyi Wang, Zhuang Cao, Di Cui:
An Efficient Load Prediction-Driven Scheduling Strategy Model in Container Cloud. Int. J. Intell. Syst. 2023: 1-25 (2023) - Pengli Lu, Jinkai Wu, Wenqi Zhang:
HCGCCDA: Prediction of circRNA-disease associations based on the combination of hypergraph convolution and graph convolution. J. Comput. Sci. 74: 102176 (2023) - Pengli Lu, Jingjin Xue:
Combining transformer-based model and GCN to predict ICD codes from clinical records. Knowl. Based Syst. 282: 111113 (2023) - Peng-Ling Wu, Xi-Le Zhao, Meng Ding, Yu-Bang Zheng, Lu-Bin Cui, Ting-Zhu Huang:
Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion. Knowl. Based Syst. 259: 110094 (2023) - Pengling Ren, Yi He, Ning Guo, Nan Luo, Fang Li, Zhenchang Wang, Zhenghan Yang:
A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images. BMC Medical Informatics Decis. Mak. 23(1): 249 (2023) - Penglin Dai, Jingtao Luo, Kangli Zhao, Huanlai Xing, Xiao Wu:
Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing. Neural Comput. Appl. 35(19): 14259-14274 (2023) - Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao:
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Trans. Mob. Comput. 22(12): 7387-7405 (2023) - Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao:
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach. IEEE Trans. Parallel Distributed Syst. 34(8): 2479-2497 (2023) - Jianxin Tang, Li Zhang, Pengli Lu, Jimao Lan:
Probing the influence maximization-cost minimization problem in social networks by using a multi-objective discrete differential evolution optimization. CNIOT 2023: 600-606 - Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu:
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. CoRR abs/2303.16563 (2023) - Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, Zongqing Lu:
Creative Agents: Empowering Agents with Imagination for Creative Tasks. CoRR abs/2312.02519 (2023) - 2022
- Xing-Gang Luo, Xin-Rui Liu, Pengli Ji, Xuan-Zhu Shang, Zhong-Liang Zhang:
Trip planning for visitors in a service system with capacity constraints. Comput. Oper. Res. 148: 105974 (2022)
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