Hai-Cheng Yi

30 papers Journal 18Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multimodal information fusion framework for accurate and robust prediction of drug-drug interactions.
Inf. Fusion
Han-Wu Zhu, Hai-Cheng Yi, Zhu-Hong You, Shi-Hui He, Xuequn Shang
2026 J jnl
MRGCDDI: Multi-Relation Graph Contrastive Learning Without Data Augmentation for Drug-Drug Interaction Events Prediction.
IEEE J. Biomed. Health Informatics
Yu Li, Lin-Xuan Hou, Zhu-Hong You, Yang Yuan, Cheng-Gang Mi, Yu-An Huang, Hai-Cheng Yi
2025 J jnl
Equivariant 3D-Conditional Diffusion Model for De Novo Drug Design.
IEEE J. Biomed. Health Informatics
Jia Zheng, Hai-Cheng Yi, Zhu-Hong You
2025 J jnl
MOLGAECL: Molecular Graph Contrastive Learning via Graph Auto-Encoder Pretraining and Fine-Tuning Based on Drug-Drug Interaction Prediction.
J. Chem. Inf. Model.
Yu Li, Lin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, Shi-Hong Chen, Jia Zheng, Yang Yuan, Cheng-Gang Mi
2025 — conf
TriM-DTA: a Tri-Modal Fusion Framework for Drug-Target Binding Affinity Prediction.
BIBM
Han-Wu Zhu, Hai-Cheng Yi, Zhu-Hong You
2024 J jnl
Attention-Based Learning for Predicting Drug-Drug Interactions in Knowledge Graph Embedding Based on Multisource Fusion Information.
Int. J. Intell. Syst.
Yu Li, Zhu-Hong You, Shu-Min Wang, Cheng-Gang Mi, Mei-Neng Wang, Yu-An Huang, Hai-Cheng Yi
2024 J jnl
Integrated Knowledge Graph and Drug Molecular Graph Fusion via Adversarial Networks for Drug-Drug Interaction Prediction.
J. Chem. Inf. Model.
Yu Li, Zhu-Hong You, Yang Yuan, Cheng-Gang Mi, Yu-An Huang, Hai-Cheng Yi, Lin-Xuan Hou
2024 J jnl
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning.
Comput. Biol. Medicine
Lin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, Shi-Hong Chen, Jia Zheng, Chee Keong Kwoh
2023 J jnl
Predicting Drug-Target Interactions Over Heterogeneous Information Network.
IEEE J. Biomed. Health Informatics
Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu
2022 J jnl
DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph.
BMC Bioinform.
Long Yang, Li-Ping Li, Hai-Cheng Yi
2022 J jnl
Graph representation learning in bioinformatics: trends, methods and applications.
Briefings Bioinform.
Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh
2021 J jnl
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
BMC Bioinform.
Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang
2021 — conf
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network.
ICIC (3)
Xiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi, Bo-Wei Zhao
2021 J jnl
In silico drug repositioning using deep learning and comprehensive similarity measures.
BMC Bioinform.
Hai-Cheng Yi, Zhu-Hong You, Lei Wang, Xiao-Rui Su, Xi Zhou, Tong-Hai Jiang
2021 J jnl
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan
2021 J jnl
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
Briefings Bioinform.
Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang
2021 — conf
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation.
ICIC (3)
Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo
2020 — conf
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning.
ICIC (2)
Xiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li
2020 — conf
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model.
ICIC (2)
Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi
2020 — conf
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model.
ICIC (2)
Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo
2020 J jnl
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.
BMC Medical Informatics Decis. Mak.
Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng
2020 — conf
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information.
ICIC (2)
Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang
2020 J jnl
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
BMC Bioinform.
Bo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, Leon Wong, Hai-Cheng Yi
2020 — conf
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network.
ICIC (2)
Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang
2020 — conf
Prediction of LncRNA-Disease Associations Based on Network Representation Learning.
BIBM
Xiao-Rui Su, Zhuhong You, Hai-Cheng Yi
2020 J jnl
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.
BMC Bioinform.
Hai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, Zhen-Hao Guo, Yan-Bin Wang, Ji-Ren Zhou
2020 J jnl
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang
2019 — conf
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel.
ICIC (2)
Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Lun Hu, Leon Wong
2019 — conf
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins.
ICIC (2)
Yan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng
2019 — conf
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information.
ICIC (2)
Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo, Hui-Juan Zhu
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski