Shichao Liu

According to our database, Shichao Liu authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeepCRBP: improved predicting function of circRNA-RBP binding sites with deep feature learning.

Zishan Xu, Linlin Song, Shichao Liu, Wen Zhang

Frontiers Comput. Sci., April, 2024

A pre-trained multi-representation fusion network for molecular property prediction.

Haohui Zhang, Juntong Wu, Shichao Liu, Shen Han

Inf. Fusion, March, 2024

Deep learning for drug-drug interaction prediction: A comprehensive review.

Xinyue Li, Zhankun Xiong, Wen Zhang, Shichao Liu

Quant. Biol., 2024

2023

CCSMP: an efficient closed contiguous sequential pattern mining algorithm with a pattern relation graph.

Haichuan Hu, Jingwei Zhang, Ruiqing Xia, Shichao Liu

Appl. Intell., December, 2023

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Shen Han, Haitao Fu, Yuyang Wu, Ganglan Zhao, Zhenyu Song, Feng Huang, Zhongfei Zhang, Shichao Liu, Wen Zhang

Briefings Bioinform., September, 2023

Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks.

Shichao Liu, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Zhongfei Zhang, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction.

Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction.

Xuan Liu, Congzhi Song, Shichao Liu, Menglu Li, Xionghui Zhou, Wen Zhang

Bioinform., October, 2022

A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs.

Zhankun Xiong, Feng Huang, Ziyan Wang, Shichao Liu, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection.

Yang Qiu, Yang Zhang, Yifan Deng, Shichao Liu, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning.

Shuai Liu, Xinran Xu, Zhihao Yang, Xiaohan Zhao, Shichao Liu, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Hierarchical graph representation learning for the prediction of drug-target binding affinity.

Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang

Inf. Sci., 2022

Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity.

Zhaoyang Chu, Shichao Liu, Wen Zhang

CoRR, 2022

META-DDIE: predicting drug-drug interaction events with few-shot learning.

Yifan Deng, Yang Qiu, Xinran Xu, Shichao Liu, Zhongfei Zhang, Shanfeng Zhu, Wen Zhang

Briefings Bioinform., 2022

2021

Attentive preference personalized recommendation with sentence-level explanations.

Jin Xie, Fuxi Zhu, Xuefei Li, Sheng Huang, Shichao Liu

Neurocomputing, 2021

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.

Feng Huang, Xiang Yue, Zhankun Xiong, Zhouxin Yu, Shichao Liu, Wen Zhang

Briefings Bioinform., 2021

Identification of Top-K Influencers Based on Upper Confidence Bound and Local Structure.

Mohammed Alshahrani, Fuxi Zhu, Soufiana Mekouar, Mohammed Yahya Alghamdi, Shichao Liu

Big Data Res., 2021

CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction.

Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Predicting Drug-miRNA Resistance with Layer Attention Graph Convolution Network and Multi Channel Feature Extraction.

Haorui Wang, Shahanavaj Khan, Shichao Liu, Fang Zheng, Wen Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A multimodal deep learning framework for predicting drug-drug interaction events.

Yifan Deng, Xinran Xu, Yang Qiu, Jingbo Xia, Wen Zhang, Shichao Liu

Bioinform., 2020

2019

Efficient Network Representations Learning: An Edge-Centric Perspective.

Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2019

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning.

Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, Yanqing Niu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning.

Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, Leyi Wei

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Detection of Cell Types from Single-cell RNA-seq Data using Similarity via Kernel Preserving Learning Embedding.

Zeming Liu, Feng Liu, Chengzhi Hong, Meng Gao, Yi-Ping Phoebe Chen, Shichao Liu, Wen Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions.

Shichao Liu, Ziyang Huang, Yang Qiu, Yi-Ping Phoebe Chen, Wen Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2016

上下文分解机的自适应更新策略 (Adaptive Parameters Updating Strategy of Context-aware Factorization Machines).

Xing Yao, Fuxi Zhu, Xiaolan Yang, Lin Zheng, Shichao Liu

计算机科学, 2016