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Shichao Liu

Observed names: LIU Shichao, Shi-chao Liu
Observed institutions: Kunming University of Science and Technology, Worcester Polytechnic Institute, Ministry of Education of the People's Republic of China, Qingdao University of Science and Technology, China Three Gorges University, Hebei University of Technology, Chinese Academy of Sciences, Huazhong Agricultural University, Ministry of Natural Resources, China Electronics Technology Group Corporation, Wuhan University, NARI Group (China), Changchun University of Chinese Medicine, Institute of Software, National Marine Environmental Forecasting Center, University of Chinese Academy of Sciences, State Key Laboratory of Computer Science, Zhejiang University of Technology, Chongqing Jiaotong University, Xi'an Jiaotong University
ORCID: 0000-0001-7217-4462
Observed ORCID: 0000-0001-7217-4462
OpenAlex ID: A5100682513
A multimodal deep learning framework for predicting drug–drug interaction events
2020 · Yifan Deng, Xinran Xu, et al. · Bioinformatics · 459
A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection
2021 · Yang Qiu, Yang Zhang, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 124
Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks
2022 · Shichao Liu, Yang Zhang, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 115
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Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction
2022 · Xuan Liu, Congzhi Song, et al. · Bioinformatics · 100
Hierarchical graph representation learning for the prediction of drug-target binding affinity
2022 · Zhaoyang Chu, Feng Huang, et al. · Information Sciences · 85
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Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations
2020 · Feng Huang, Xiang Yue, et al. · Briefings in Bioinformatics · 81
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Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning
2020 · Yang Zhang, Yang Qiu, et al. · Methods · 81
META-DDIE: predicting drug–drug interaction events with few-shot learning
2021 · Yifan Deng, Yang Qiu, et al. · Briefings in Bioinformatics · 72
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
2023 · Zhankun Xiong, Shichao Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 68
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Multi-step ahead short-term predictions of storm surge level using CNN and LSTM network
2021 · Bao Wang, Shichao Liu, et al. · Acta Oceanologica Sinica · 61
HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction
2023 · Shen Han, Haitao Fu, et al. · Briefings in Bioinformatics · 59
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A pre-trained multi-representation fusion network for molecular property prediction
2023 · Haohui Zhang, Juntong Wu, et al. · Information Fusion · 46
Deep learning for drug‐drug interaction prediction: A comprehensive review
2024 · Xinyue Li, Zhankun Xiong, et al. · Quantitative Biology · 44
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CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
2021 · Chengshuai Zhao, Shuai Liu, et al. · International Joint Conference on Artificial Intelligence · 43
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Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions
2019 · Shichao Liu, Ziyang Huang, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 38
Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization
2020 · Feng Huang, Yang Qiu, et al. · Frontiers in Bioengineering and Biotechnology · 31
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PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts
2019 · Shuai Liu, Xiaohan Zhao, et al. · Genes · 27
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Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction
2020 · Chengshuai Zhao, Yang Qiu, et al. · BMC Genomics · 24
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A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs
2021 · Zhankun Xiong, Feng Huang, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 21
LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning
2019 · Shuang Zhou, Xiang Yue, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 21
EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning
2021 · Shuai Liu, Xinran Xu, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 17
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Thermal responses under different exercise intensity and air temperature
2025 · Chenyang Jia, Yanyan Li, et al. · Building and Environment · 14
Experiment-Validated multiphysics modeling, generalizable deep learning and interpretable global sensitivity analyses for thermoelectric generators
2024 · Yiling Duan, Shangchao Lin, et al. · International Journal of Heat and Mass Transfer · 11
Attentive preference personalized recommendation with sentence-level explanations
2020 · Jin Xie, Fuxi Zhu, et al. · Neurocomputing · 11
A core leader based label propagation algorithm for community detection
2016 · Shichao Liu, Fuxi Zhu, et al. · China Communications · 9
Works count: 61
Citation count: 1,746
H-index: 20
I10-index: 24
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