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Zhanheng Chen
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2020 – today
- 2024
- [c21]Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He:
Dynamic Link Prediction for New Nodes in Temporal Graph Networks. IJCNN 2024: 1-8 - 2023
- [j22]Zhen-Hao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jin-Ming Shi, Yan-Bin Wang, Zhan-Heng Chen:
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data. BMC Bioinform. 24(1): 481 (2023) - [j21]Zhanheng Chen, Zhuhong You, Qinhu Zhang, Zhen-Hao Guo, Siguo Wang, Yanbin Wang:
In silico prediction methods of self-interacting proteins: an empirical and academic survey. Frontiers Comput. Sci. 17(3): 173901 (2023) - [j20]Xue Han, Yitong Wang, Junlan Feng, Chao Deng, Zhan-Heng Chen, Yu-An Huang, Hui Su, Lun Hu, Pengwei Hu:
A survey of transformer-based multimodal pre-trained modals. Neurocomputing 515: 89-106 (2023) - [j19]Zhanheng Chen, Kailong Xiong, Cheng Hu:
Fixed/Preassigned-Time Synchronization of Complex Variable BAM Neural Networks with Time-Varying Delays. Neural Process. Lett. 55(6): 8181-8213 (2023) - [j18]Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang:
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 616-624 (2023) - [j17]Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-Ping Li, Zhan-Heng Chen:
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2610-2618 (2023) - [j16]Zhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang:
DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information. IEEE J. Biomed. Health Informatics 27(9): 4611-4622 (2023) - [i2]Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He:
Dynamic Link Prediction for New Nodes in Temporal Graph Networks. CoRR abs/2310.09787 (2023) - [i1]Xiaobo Zhu, Yan Wu, Zhipeng Li, Hailong Su, Jin Che, Zhanheng Chen, Liying Wang:
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs. CoRR abs/2312.07983 (2023) - 2022
- [j15]Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang:
Base-resolution prediction of transcription factor binding signals by a deep learning framework. PLoS Comput. Biol. 18(3) (2022) - [j14]Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3144-3153 (2022) - [j13]Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3663-3672 (2022) - [j12]Siguo Wang, Ying He, Zhanheng Chen, Qinhu Zhang:
FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit. IEEE J. Biomed. Health Informatics 26(4): 1883-1890 (2022) - [c20]Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen:
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works. ICIC (2) 2022: 220-232 - [c19]Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang:
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. ICIC (2) 2022: 451-459 - [c18]Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen, Bo-Wei Zhao, Lun Hu, Pengwei Hu:
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - 2021
- [j11]Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang:
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings Bioinform. 22(2): 2085-2095 (2021) - [j10]Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang:
Locating transcription factor binding sites by fully convolutional neural network. Briefings Bioinform. 22(5) (2021) - [j9]Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang:
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. BMC Bioinform. 22-S(5): 622 (2021) - [j8]Pengwei Hu, Yuan Huang, Jing Mei, Henry Leung, Zhanheng Chen, Ze-min Kuang, Zhu-Hong You, Lun Hu:
Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics Decis. Mak. 21(1): 308 (2021) - [c17]Youhong Xu, Qinghu Zhang, Zhanheng Chen, Chang-an Yuan, Xiao Qin, Hongjie Wu:
Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data. ICIC (3) 2021: 385-395 - [c16]Mei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, Liping Li, Zhan-Heng Chen:
Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations. ICIC (3) 2021: 467-477 - [c15]Zhongsi Zhang, Fei Xu, Han-Jing Jiang, Zhan-Heng Chen:
Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal Data. ICIC (3) 2021: 549-560 - [c14]Xue Han, Qing Wang, Zhan-Heng Chen, Lun Hu, Pengwei Hu:
OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM. ICIC (2) 2021: 605-615 - [c13]Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo:
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. ICIC (3) 2021: 617-626 - 2020
- [j7]Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Leon Wong, Zhan-Heng Chen, Chengzhi Gan:
GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions. IEEE Access 8: 37578-37588 (2020) - [j6]Bo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, Leon Wong, Hai-Cheng Yi:
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information. BMC Bioinform. 21(1): 401 (2020) - [j5]Yanbin Wang, Zhuhong You, Liping Li, Zhan-Heng Chen:
A survey of current trends in computational predictions of protein-protein interactions. Frontiers Comput. Sci. 14(4): 144901 (2020) - [j4]Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng:
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network. BMC Medical Informatics Decis. Mak. 20-S(2): 49 (2020) - [c12]Kai Zheng, Zhu-Hong You, Lei Wang, Leon Wong, Zhan-Heng Chen:
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks. ICIC (2) 2020: 239-250 - [c11]Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang:
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information. ICIC (2) 2020: 279-289 - [c10]Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang:
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network. ICIC (2) 2020: 348-358 - [c9]Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Xue-Jun Xie:
WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations. ICIC (3) 2020: 542-551
2010 – 2019
- 2019
- [j3]Gongxu Luo, Yating Yang, Yang Yuan, Zhanheng Chen, Aizimaiti Ainiwaer:
Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation. IEEE Access 7: 154157-154166 (2019) - [c8]Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang:
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. ICIC (1) 2019: 166-174 - [c7]Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo, Hui-Juan Zhu:
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information. ICIC (2) 2019: 313-323 - [c6]Han-Jing Jiang, Zhu-Hong You, Kai Zheng, Zhan-Heng Chen:
Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest. ICIC (3) 2019: 369-380 - [c5]Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Zhan-Heng Chen:
Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations. ICIC (2) 2019: 406-417 - [c4]Yan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng:
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. ICIC (2) 2019: 460-467 - 2018
- [j2]Yan-Bin Wang, Zhu-Hong You, Xiao Li, Tong-Hai Jiang, Li Cheng, Zhan-Heng Chen:
Prediction of protein self-interactions using stacked long short-term memory from protein sequences information. BMC Syst. Biol. 12(8): 129 (2018) - [c3]Zhan-Heng Chen, Zhu-Hong You, Liping Li, Yan-Bin Wang, Xiao Li:
RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter. ICIC (2) 2018: 232-240 - 2017
- [j1]Cheng Hu, Juan Yu, Zhanheng Chen, Haijun Jiang, Tingwen Huang:
Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks. Neural Networks 89: 74-83 (2017) - 2012
- [c2]Zhanheng Chen, Haijun Jiang:
Mean Square Stability of Stochastic Impulsive Genetic Regulatory Networks with Mixed Time-Delays. ISNN (1) 2012: 312-321 - 2011
- [c1]Zhanheng Chen, Haijun Jiang:
Stability Analysis of Genetic Regulatory Networks with Mixed Time-Delays. ISNN (3) 2011: 280-289
Coauthor Index
aka: Zhuhong You
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last updated on 2024-11-14 00:51 CET by the dblp team
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