Jun Zhang

19 papers A* 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Molecular-level protein semantic learning via structure-aware coarse-grained language modeling.
Bioinform.
Jun Zhang, Xueer Weng, Tiantian Zhu, Yumeng Liu, Zexuan Zhu
2026 A* conf
PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation.
AAAI
Jun Zhang, Yangyang Zhou, Tiantian Zhu, Zexuan Zhu
2025 — conf
CFPLM: Improve Protein-RNA Interaction Prediction with a Collaborative Framework Powered by Language Models.
BIBM
Jun Zhang, Huanchao Feng, Hang Wei, Zexuan Zhu
2025 J jnl
HiPHD: Hierarchical Classification for Protein Remote Homology Detection by Incorporating Protein Sequential and Structural Information.
IEEE Trans. Comput. Biol. Bioinform.
Fuchuan Qu, Yijin Zhao, Tao Huang, Xinyan Wang, Jun Zhang, Junjie Chen
2025 J jnl
INAB: identify nucleic acid binding domain via cross-modal protein language models and multiscale computation.
Briefings Bioinform.
Jun Zhang, Hao Zeng, Junjie Chen, Zexuan Zhu
2025 J jnl
MDTL-ACP: Anticancer Peptides Prediction Based on Multi-Domain Transfer Learning.
IEEE J. Biomed. Health Informatics
Junhang Cao, Wei Zhou, Qiyuan Yu, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu
2025 J jnl
TG-CDDPM: text-guided antimicrobial peptides generation based on conditional denoising diffusion probabilistic model.
Briefings Bioinform.
Junhang Cao, Jun Zhang, Qiyuan Yu, Junkai Ji, Jianqiang Li, Shan He, Zexuan Zhu
2024 — conf
PAIR: protein-aptamer interaction prediction based on language models and contrastive learning framework.
BIBM
Jun Zhang, Zhiqiang Yan, Hao Zeng, Zexuan Zhu
2023 J jnl
MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations.
Bioinform.
Minghao Yang, Zhi-An Huang, Wei Zhou, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu
2023 J jnl
iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ning Wang, Jun Zhang, Bin Liu
2022 J jnl
IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ning Wang, Jun Zhang, Bin Liu
2022 J jnl
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning.
Bioinform.
Jun Zhang, Ke Yan, Qingcai Chen, Bin Liu
2022 J jnl
iDRBP-ECHF: Identifying DNA- and RNA-binding proteins based on extensible cubic hybrid framework.
Comput. Biol. Medicine
Jiawei Feng, Ning Wang, Jun Zhang, Bin Liu
2022 J jnl
iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework.
Briefings Bioinform.
Ning Wang, Ke Yan, Jun Zhang, Bin Liu
2022 J jnl
iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models.
CoRR
Jiahao Li, Zhourun Wu, Wenhao Lin, Jiawei Luo, Jun Zhang, Qingcai Chen, Junjie Chen
2021 J jnl
DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Zhang, Qingcai Chen, Bin Liu
2021 J jnl
NCBRPred: predicting nucleic acid binding residues in proteins based on multilabel learning.
Briefings Bioinform.
Jun Zhang, Qingcai Chen, Bin Liu
2021 J jnl
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection.
Bioinform.
Xiaopeng Jin, Qing Liao, Hang Wei, Jun Zhang, Bin Liu
2019 J jnl
iRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning.
IEEE Access
Xin Gao, Donghua Wang, Jun Zhang, Qing Liao, Bin Liu