| 杨森 博士、讲师 |
常州大学 计算机与人工智能学院 阿里云大数据学院 软件学院
江苏常州 213164 | |
E-MAIL: ys@cczu.edu.cn |
教育背景: |
2011.09-2015.06 湖北科技学院数学系 应用数学专业 理学学士 2015.09-2018.06 吉林大学软件学院 软件工程专业 工学硕士 2018.09-2021.06 吉林大学 博士 |
工作履历: |
2022.01- 2026.04 常州第二人民医院 临床医学，博士后 2021.10- 今 常州大学 大数据学院，讲师 |
主授课程: |
操作系统 编译原理 生物信息学 |
研究领域: |
蛋白质结构设计 小分子药物设计 蛋白质修饰位点功能发现 虚拟细胞扰动 |
奖励与荣誉: |
1. 第六届常州大学教师教学创新大赛一等奖 2. 2021-2022学年常州大学“优秀班主任” |
学术成果: |
Ø 发表论文 |
[1] Lin Yiyu, Wu Jiahui, Yang Sen*, Wang Yan*. An SE(3)-equivariant and dynamic multi-modal engine advancing from PTM site prediction to network understanding. communications chemistry (2026). https://doi.org/10.1038/s42004-026-02062-y [2] Sen Yang, Jiaqi Ni, Xinye Ni*, and Yan Wang*, “CKAN-ATHP: a predictor for antihypertensive peptides based on sample augmentation and loss improvement strategies using the convolutional Kolmogorov–Arnold network,” Journal of Cheminformatics, Mar. 2026, doi: 10.1186/s13321-026-01173-x. [3] Yu Chen, Lun Zhu, and Sen Yang*, “IALA-LNN: Deep Learning for Peptide Retention Time Prediction Based on Improved Artificial Lemming Algorithm-Optimized Liquid Neural Networks,” Journal of Chemical Information and Modeling, vol. 66, no. 5, pp. 2513–2533, Mar. 2026, doi: 10.1021/acs.jcim.5c02548. [4] Yiyu Lin, Jiahui Wu, Peng Shen, Sen Yang*, and Yan Wang*, “UniGraphPTMs: a contrastive learning-enhanced universal framework for PTM site prediction via GNN and multimodal fusion,” BMC Genomics, Feb. 2026, doi: 10.1186/s12864-026-12567-4. [5] Yiyu Lin, Jiahui Wu, Sen Yang*, and Yan Wang*, “UniProNet: A Universal PTM Site Prediction Model with an Equivariant Graph Neural Network and Multimodal Fusion,” in 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China: IEEE, Dec. 2025, pp. 432–437. doi: 10.1109/BIBM66473.2025.11356504. [6] Sen Yang, Jiaqi Ni, and Piao Xu, “AI4ACEIP: A Computing Tool to Identify Food Peptides with High Inhibitory Activity for ACE by Merged Molecular Representation and Rich Intrinsic Sequence Information Based on an Ensemble Learning Strategy,” Journal of Agricultural and Food Chemistry, vol. 72, no. 45, pp. 25340–25356, Nov. 2024, doi: 10.1021/acs.jafc.4c05650. [7] Lun Zhu, Wei Chen, and Sen Yang*, “CLTAP: A TAP-binding peptide prediction method using pre-trained large language-embedding models with contrastive learning to enhance contextual co-attention mechanism,” Expert Systems with Applications, vol. 285, p. 127991, Aug. 2025, doi: 10.1016/j.eswa.2025.127991. [8] Lun Zhu, Ziqi Zhang, and Sen Yang*, “BioSeq_Ksite: Multi-perspective feature-driven prediction of protein succinylation based on an adaptive attention module with SSBCE loss strategy,” International Journal of Biological Macromolecules, vol. 310, p. 143601, May 2025, doi: 10.1016/j.ijbiomac.2025.143601. [9] Lun Zhu, Qingguo Yang, and Sen Yang*, “DeepAIP: Deep learning for anti-inflammatory peptide prediction using pre-trained protein language model features based on contextual self-attention network,” International Journal of Biological Macromolecules, vol. 280, p. 136172, Nov. 2024, doi: 10.1016/j.ijbiomac.2024.136172. [10] Zexi Yang, Yan Wang, Xinye Ni, and Sen Yang*, “DeepDRP: Prediction of intrinsically disordered regions based on integrated view deep learning architecture from transformer-enhanced and protein information,” International Journal of Biological Macromolecules, vol. 253, p. 127390, Dec. 2023, doi: 10.1016/j.ijbiomac.2023.127390. [11] Sen Yang*, Zexi Yang, and Jun. Yang, “4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies,” International Journal of Biological Macromolecules, vol. 231, p. 123180, Mar. 2023, doi: 10.1016/j.ijbiomac.2023.123180. [12] Lun Zhu, Qingchao Zhang, and Sen Yang*, “RLSuccSite: succinylation sites prediction based on reinforcement learning dynamic with balanced reward mechanism and three-peaks enhanced method for physicochemical property scores,” Journal of Cheminformatics, vol. 17, no. 1, p. 92, Jun. 2025, doi: 10.1186/s13321-025-01034-z. [13] Lun Zhu, Liuyang Wang, Zexi Yang, Piao Xu, and Sen Yang*, “PPSNO: A Feature-Rich SNO Sites Predictor by Stacking Ensemble Strategy from Protein Sequence-Derived Information,” Interdisciplinary Sciences: Computational Life Sciences, vol. 16, no. 1, pp. 192–217, Mar. 2024, doi: 10.1007/s12539-023-00595-7. [14] Lun Zhu, Zehua Chen, and Sen Yang*, “EnDM-CPP: A Multi-view Explainable Framework Based on Deep Learning and Machine Learning for Identifying Cell-Penetrating Peptides with Transformers and Analyzing Sequence Information,” Interdisciplinary Sciences: Computational Life Sciences, Dec. 2024, doi: 10.1007/s12539-024-00673-4. [15] Hongqi Feng, Shaocong Wang, Yan Wang, Xinye Ni, Zexi Yang, Xuemei Hu, Sen Yang*, “LncCat: An ORF attention model to identify LncRNA based on ensemble learning strategy and fused sequence information,” Computational and Structural Biotechnology Journal, vol. 21, pp. 1433–1447, 2023, doi: 10.1016/j.csbj.2023.02.012. |
Ø 专利成果 |
[1] 一种基于迁移学习的TCR-表位结合预测方法及系统，ZL 2024 1 0161424.X [2] 非编码RNA中小开放阅读窗编码多肽能力预测方法及系统, ZL 2024 1 0092859.3 [3] 基于双向长短期记忆网络与特征融合的抗癌肽预测方法, ZL 2022 1 0686266.0 [4] 基于CatBoost算法的长非编码RNA识别方法, ZL 2022 1 0407059.7 [5] 一种融合序列与结构多模态特征并结合对比-生成式联合优化的抗高血压肽分类方法, ZL 2025 1 0728748.1 [6] 一种基于多模态自适应图对比学习的2′-O-甲基化位点预测方法, ZL 2025 1 0728792.2 |
研究项目: |
江苏省自然科学基金青年项目，主持 国家自然科学基金青年项目，主持 江苏省“双创博士”项目，主持 常州市应用基础研究项目，主持 常州市龙城英才（基础创新研究）项目，主持 |
