王思果

一、基本信息

学科/专业：计算机科学与技术

职称：讲师

职务：教师

导师类别：硕导

邮箱：siguo_wang@163.com

招生专业：计算机科学与技术、电子信息、农业工程与信息技术

二、学习工作经历

2019.9-2023.6同济大学攻读工学博士学位

2023.9-2025.9中国科学技术大学、宁波东方理工大学联培博后

2025.10-至今 浙江农林大学数学与计算机科学学院教师

三、研究领域

1.人工智能、数据挖掘、模式识别

2.生物信息

五、科研课题（限10项）

1.国家自然科学基金青年基金，三维基因组精细化结构单元识别及调控元件分析方法研究，2025.01-2027.12，30万人民币，在研，主持。

2.国家自然科学基金重点项目，融合多尺度特征的基因调控元件智能设计方法研究，2025.01-2029.12，44/234万人民币，在研，子课题负责人。

3.浙江农林大学,学校科研发展基金,基于多组学数据的三维基因组精细化结构单元分析方法研究，2025.10-2028.10，在研，主持。

4.宁波市自然科学基金一般项目，三维基因组精细化结构单元智能解析方法研究，2024.06-2025.12，4.8万人民币，结题，主持。

六、代表性论文和著作（限10项）

1.Siguo Wang, Zhipeng Li, Hailin Feng, Zhen Cui, Zhen-Hao Guo, Qi Liao, Zuquan Hu, Wenjian Liu, Qinhu Zhang, De-Shuang Huang, GraphLooper: predicting chromatin loops based on hierarchical multi-view graph pooling method,Briefings in Bioinformatics, 2026,27(3): bbag217.

2.Siguo Wang, QinHu Zhang*, Ying He, Zhen Cui, Zhenhao Guo, K Han, De-shuang Huang*. DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes [J].PLoS Computational Biology, 2022, 18(10): e1010572.

3.Siguo Wang, QinHu Zhang*, Zhen Shen, Ying He, ZhenHao Chen, Jianqiang Li, De-shuang Huang*. Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture[J].Molecular Therapy-Nucleic Acids, 2021, 24: 154-163.

4.Siguo Wang, Ying He, Zhanheng Chen, Qinhu Zhang*. FCNGRU: locating transcription factor binding sites by combing fully convolutional neural network with gated recurrent unit[J].IEEE Journal of Biomedical and Health Informatics,2021, 26(4): 1883-1890.

5.Siguo Wang,Zhen Shen, Ying He, Qinhu Zhang*, and et al. A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites[C]//International Conference on Intelligent Computing. Springer, Cham, 2020: 79-89

6.Siguo Wang,Zhipeng Li, Qinhu Zhang*. Predicting Transcription Factor Binding Signals Based on a Novel Encoder-Decoder Framework.[C]//International Conference on Applied Intelligence. Springe, vol 2387,pp 130–140.

7.Wang Jing,Siguo Wang^*. (2026). Large Language Models in University Digitalization: A Systematic Review. In: Huang, DS., et al. Applied Intelligence. ICAI 2025. Communications in Computer and Information Science, vol 2779. Springer, Singapore.

8.Qinhu Zhang,Siguo Wang, Zhipeng Li, Yijie Pan, De-Shuang Huangl. Cross‐Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide‐Level Deep Neural Network[J].Advanced Science, 2024: 2405685.

9.Zhipeng Li,Siguo Wang, Qinhu Zhang,and et al. Graph pooling for graph-level representation learning: a survey[J].Artificial Intelligence Review, 2024, 58(2): 45.

10.Qinhu Zhang,Siguo Wang,and et al.. A scalable computational framework for predicting gene expression from candidate cis-regulatory elements.Genome Research. 2026 Feb 3;36(2):361-374. doi: 10.1101/gr.281219.125. PMID: 41545085; PMCID: PMC12863192