Wei Zhang

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization.
IEEE Access
Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li
2022 — conf
A heterogeneous graph cross-omics attention model for single-cell representation learning.
BIBM
Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh
2022 J jnl
Are dropout imputation methods for scRNA-seq effective for scATAC-seq data?
Briefings Bioinform.
Yue Liu, Junfeng Zhang, Shu-Lin Wang, Xiangxiang Zeng, Wei Zhang
2021 J jnl
A neural collaborative filtering method for identifying miRNA-disease associations.
Neurocomputing
Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li
2021 J jnl
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Su Zhou, Wen Li
2021 J jnl
Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data.
J. Comput. Biol.
Wei Zhang, Shu-Lin Wang, Yue Liu
2020 J jnl
Definition of a New Metric With Mutual Exclusivity and Coverage for Identifying Cancer Driver Modules.
IEEE Access
Wei Zhang, Yue Liu, Lei Wang
2019 J jnl
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Zhang, Shu-Lin Wang
2019 J jnl
Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model.
J. Comput. Biol.
Guo Mao, Shu-Lin Wang, Wei Zhang
2018 J jnl
An efficient strategy for identifying cancer-related key genes based on graph entropy.
Comput. Biol. Chem.
Wei Zhang, Shu-Lin Wang
2018 J jnl
Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data.
IEEE Access
Wei Zhang, Shu-Lin Wang
2018 J jnl
MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering.
J. Bioinform. Comput. Biol.
Dan Luo, Shu-Lin Wang, Jianwen Fang, Wei Zhang
2017 J jnl
GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif.
J. Comput. Biol.
Chao Pei, Shu-Lin Wang, Jianwen Fang, Wei Zhang
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling