山东大学教师主页崔学峰论文成果中文主页

崔学峰(教授)

学位：博士生
职称：教授
所在单位：计算机科学与技术学院

教师姓名：崔学峰
教师英文名称：Xuefeng Cui
教师拼音名称：cuixuefeng
电子邮箱：
入职时间：2019-09-23
所在单位：计算机科学与技术学院
职务：教授
学历：博士研究生毕业
办公地点：N3楼325室
性别：男
联系方式：
学位：博士生
职称：教授
在职信息：在职
毕业院校：University of Waterloo, Canada
所属院系：计算机科学与技术学院

论文成果

[1] . Using Deep Learning to Classify Full-Length Transcriptome Sequences. 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, 333-338, 2023.
[2] 孟昭旭. Exploring Fragment Adding Strategies to Enhance Molecule Pretraining in AI-Driven Drug Discovery. Big Data Mining and Analytics, 7, 565-576, 2024.
[3] 李翠园. Variational Clustering and Denoising of Spatial Transcriptomics. 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, 281-286, 2023.
[4] 刘燕敏. De Novo Molecular Structure Generation from Mass Spectra. 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, 373-378, 2023.
[5] 张烜. MetaGIN: a lightweight framework for molecular property prediction. Frontiers of Computer Science, 19, 2024.
[6] 李德锋. Iterative Glycan Structure Generation by Component Localization and Classification from Mass Spectra. 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, 314-319, 2025.
[7] 程吉斌. Revolutionizing Enzyme Turnover Predictions with Non-Binary Reaction Fingerprints and AI. 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, 663-668, 2025.
[8] 尚金生. Pretraining Transformers for TCR-pMHC Binding Prediction. 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, 26-31, 2022.
[9] 刘士渤. Deep Representation Learning for Electron Ionization Mass Spectra Retrieval. 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, 552-557, 2025.
[10] 田智萌. How to Integrate Non-Sequence Features for Peptide Collision Cross Section Prediction with Deep Learning?. 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, 1177-1182, 2025.
[11] 郭荣旭. Advancing Template-Based Flexible Docking of P450-Heme Complexes via JAX MD. 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, 675-680, 2024.
[12] Gao, Jing. Hexagonal Convolutional Neural Network for Spatial Transcriptomics Classification. 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, 200-205, 2022.
[13] . Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry. Big Data Mining and Analytics, 7, 1251-1261, 2024.
[14] 张烜. CoAtGIN: Marrying Convolution and Attention for Graph-based Molecule Property Prediction. 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, 374-379, 2022.
[15] 崔帅. Enhanced Protein-Ligand Affinity Prediction with Conditional Updating and Proximity Embedding. 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, 897-902, 2025.

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