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 002 (计算机科学, 2016)

Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions. - Shichao Liu 002; Ziyang Huang; Yang Qiu; Yi-Ping Phoebe Chen; Wen Zhang 008 (BIBM, 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 002; Wen Zhang 008 (BIBM, 2019)

LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning. - Yanzhen Xu; Xiaohan Zhao; Shuai Liu 017; Shichao Liu 002; Yanqing Niu; Wen Zhang 008; Leyi Wei (BIBM, 2019)

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning. - Shuang Zhou 009; Xiang Yue; Xinran Xu; Shichao Liu 002; Wen Zhang 008; Yanqing Niu (BIBM, 2019)

Efficient Network Representations Learning: An Edge-Centric Perspective. - Shichao Liu 002; Shuangfei Zhai; Lida Zhu; Fuxi Zhu; Zhongfei (Mark) Zhang; Wen Zhang 008 (KSEM (2), 2019)

A multimodal deep learning framework for predicting drug-drug interaction events. - Yifan Deng; Xinran Xu; Yang Qiu; Jingbo Xia; Wen Zhang 008; Shichao Liu 002 (Bioinform., 2020)

Predicting Drug-miRNA Resistance with Layer Attention Graph Convolution Network and Multi Channel Feature Extraction. - Haorui Wang; Shahanavaj Khan; Shichao Liu 002; Fang Zheng 010; Wen Zhang 008 (BIBM, 2021)

CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction. - Chengshuai Zhao; Shuai Liu 017; Feng Huang 004; Shichao Liu 002; Wen Zhang 008 (IJCAI, 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 002 (Big Data Res., 2021)

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations. - Feng Huang 004; Xiang Yue; Zhankun Xiong; Zhouxin Yu; Shichao Liu 002; Wen Zhang 008 (Briefings Bioinform., 2021)

Attentive preference personalized recommendation with sentence-level explanations. - Jin Xie; Fuxi Zhu; Xuefei Li; Sheng Huang; Shichao Liu 002 (Neurocomputing, 2021)

META-DDIE: predicting drug-drug interaction events with few-shot learning. - Yifan Deng; Yang Qiu; Xinran Xu; Shichao Liu 002; Zhongfei Zhang; Shanfeng Zhu; Wen Zhang 008 (Briefings Bioinform., 2022)

Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity. - Zhaoyang Chu; Shichao Liu 002; Wen Zhang 008 (CoRR, 2022)

Hierarchical graph representation learning for the prediction of drug-target binding affinity. - Zhaoyang Chu; Feng Huang 004; Haitao Fu; Yuan Quan; Xionghui Zhou; Shichao Liu 002; Wen Zhang 008 (Inf. Sci., 2022)

EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning. - Shuai Liu 017; Xinran Xu; Zhihao Yang; Xiaohan Zhao; Shichao Liu 002; Wen Zhang 008 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection. - Yang Qiu; Yang Zhang 123; Yifan Deng; Shichao Liu 002; Wen Zhang 008 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs. - Zhankun Xiong; Feng Huang 004; Ziyan Wang; Shichao Liu 002; Wen Zhang 008 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction. - Xuan Liu; Congzhi Song; Shichao Liu 002; Menglu Li; Xionghui Zhou; Wen Zhang 008 (Bioinform., 2022)

Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction. - Zhankun Xiong; Shichao Liu 002; Feng Huang 004; Ziyan Wang; Xuan Liu; Zhongfei Zhang; Wen Zhang 008 (AAAI, 2023)

Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks. - Shichao Liu 002; Yang Zhang 123; Yuxin Cui; Yang Qiu; Yifan Deng; Zhongfei Zhang; Wen Zhang 008 (IEEE ACM Trans. Comput. Biol. Bioinform., 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 004; Zhongfei Zhang; Shichao Liu 002; Wen Zhang 008 (Briefings Bioinform., 2023)

CCSMP: an efficient closed contiguous sequential pattern mining algorithm with a pattern relation graph. - Haichuan Hu; Jingwei Zhang; Ruiqing Xia; Shichao Liu 002 (Appl. Intell., 2023)

Adapting differential molecular representation with hierarchical prompts for multi-label property prediction. - Linjia Kang; Songhua Zhou; Shuyan Fang; Shichao Liu 002 (Briefings Bioinform., 2024)

Deep learning for drug-drug interaction prediction: A comprehensive review. - Xinyue Li; Zhankun Xiong; Wen Zhang 008; Shichao Liu 002 (Quant. Biol., 2024)

A pre-trained multi-representation fusion network for molecular property prediction. - Haohui Zhang; Juntong Wu; Shichao Liu 002; Shen Han (Inf. Fusion, 2024)

DeepCRBP: improved predicting function of circRNA-RBP binding sites with deep feature learning. - Zishan Xu; Linlin Song; Shichao Liu 002; Wen Zhang 008 (Frontiers Comput. Sci., 2024)