张宇辰，陕西西安人，于2022年12月在陕西师范大学获工学博士学位（硕博连读），同年进入WilliamHill中文官方网站工作，于2021-2022年在加拿大University of Saskatchewan，生物医学工程系进行博士联合培养，陕西省优秀博士论文获得者，硕士生导师。在《Knowledge-Based Systems》、《Big Data Mining and Analytics》、《Briefings in Bioinformatics》、《Frontiers in Pharmacology》等期刊上发表研究性论文多篇，主持国家自然科学基金青年项目1项，陕西省科技计划青年项目1项，中央高校基本科研业务费项目2项，参与国家自然科学基金项目4项，省部级项目3项，撰写英文专著章节2章，授权专利2项。任中国自动化学会智能健康与生物信息专业委员会委员、CCF生物信息学“新未来”青年学者研讨会执行委员、陕西省生物信息学会首届会员、CCF会员、ACM会员、IEEE会员、《Interdisciplinary Sciences-Computational Life Sciences》青年编委、《Information Fusion》、《Knowledge-Based Systems》、《PLOS Computational Biology》、《Methods》、《Chinese Journal of Electronics》等期刊的审稿人，IEEE International Conference on Bioinformatics and Biomedicine (BIBM)、International Conference on Swarm Intelligence (ICSI)、International Conference on Data Mining and Big Data (DMBD)、International Conference on Intelligent Computing（ICIC）会议PC等。

ResearchGate: https://www.researchgate.net/profile/Yuchen-Zhang-51

Google Scholar: https://scholar.google.com.hk/citations?user=aXG0kK8AAAAJ&hl=zh-CN

  人工智能、 生物信息学、智能计算等。

期刊论文：

[1]     Yuchen Zhang, Xiujuan Lei*, Yi Pan and Witold Pedrycz. Prediction of disease-associated circRNAs via circRNA–disease pair graph and weighted nuclear norm minimization. Knowledge-Based Systems, 2021, vol. 214, pp.106694. (SCI, 2021年中国科公司一区, Top, IF: 8.038)

[2]     Yuchen Zhang, Xiujuan Lei*, Yi Pan, Fang-Xiang Wu. Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks. Frontiers in Pharmacology, 2022, vol. 13, pp. 872785（SCI, 2022年中国科公司二区, Top, IF: 5.810)

[3]     Yuchen Zhang, Xiujuan Lei*, Cai Dai, Fang-Xiang Wu, Yi Pan. Identify Potential CircRNA-Disesase Associations Through a Multi-Objective Evolutionary Algorithm. Information Sciences, 2023, vol.647, pp.119437. (SCI, 2023年中国科公司一区, Top, IF:8.100)

[4]      Yuchen Zhang, Xiujuan Lei*, Zengqiang Fang and Yi Pan*. CircRNA-disease associations prediction based on metapath2vec++ and matrix factorization. Big Data Mining and Analytics, 2020, vol. 3, no. 4, pp. 280-291. (SCI, 2023年中国科公司一区, CCF T2期刊, IF:13.60 )

[5]    Xinhua Jia(指导员工), Yuchen Zhang*. A Graph Neural Network Framework with Equivariance and Heterogeneity for Drug Repositioning, Interdisciplinary Sciences: Computational Life Sciences, 2026, https://doi.org/10.1007/s12539-026-00818-7

[6]    Zihan Zhang(指导员工), Yuchen Zhang*. NCRDLLM: Predicting ncRNA-Drug Response Associations via Multimodal Feature Fusion and Large Language Models, Journal of Chemical Information and Modeling, 2026, 66, 3331−3345.

[7]    Zihan Zhang(指导员工), Yuchen Zhang*, Xiujuan Lei, Prediction of circRNA-Drug Associations Based on Bipartite Graph Transformer, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2025.3649178. (SCI, 2025年中国科公司二区, Top期刊, IF:6.80 )

[8]     Naichao Wang(指导员工), Yihe Diwu(指导员工), Mingchen Feng, Yuchen Zhang*, Xiujuan Lei*. DTIBFAI: Drug-target Interaction Prediction Based on BERT and Feature Augment of Informer. Frontiers of Computer Science, DOI: 10.1007/s11704-025-50126-4 (SCI, 2025年中国科公司二区, CCF B类期刊, IF:4.6 )

[9]      Xiujuan Lei* and Yuchen Zhang. Predicting disease-genes based on network information loss  and protein complexes in heterogeneous network. Information Sciences, 2019, vol.  479, pp. 386-400. (SCI, 2019年中国科公司一区, Top, IF: 5.910)

[10]      Xiujuan Lei*, Yuchen Zhang, Shi Cheng, FangXiang Wu and Witold Pedrycz. Topology potential based  seed-growth method to identify protein complexes on dynamic PPI data. Information Sciences, 2018, vol. 425, pp. 140-153. (SCI, 2018年中国科公司一区, Top, IF:5.524)

[11]      Yi Pan*, Xiujaun Lei* and Yuchen Zhang. Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: a comprehensive approach. Medicinal Research Reviews, 2022, vol. 42, no. 1, pp. 441-461 (SCI, 2022年中国科公司一区 Top, IF：12.944) (该论文在2023年深圳市第三届优秀科技学术论文成果遴选中, 获评优秀)

[12]      Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, Chen Bian, Wei Lan, Ning Yu and Yi Pan*. A comprehensive survey on computational methods of non-coding RNA and disease association prediction. Briefings in Bioinformatics, 2021, vol. 22, no. 4, pp. bbaa350. (SCI, 2021年中国科公司二区,  IF:11.622)

[13]      Chunyan Fan, Xiujuan Lei*, Jiaojiao Tie, Yuchen Zhang, Fang-Xiang Wu and Yi Pan. CircR2Disease v2.0: An Updated Web Server for Experimentally Supported CircRNA-Disease Associations and Its Application. Genomics Proteomics & Bioinformatics, 2022, 20(3): 435-445 (SCI, 2022年中国科公司二区, IF: 9.500)

[14]    Jianping Liu, Xiujuan Lei*, Yuchen Zhang, Yi Pan. The prediction of molecular toxicity based on BiGRU and GraphSAGE. Computers in Biology and Medicine. 2023, 153:106524 (SCI, 2023年中国科公司二区, IF: 7.700)

[15]   Xin Tang, Xiujuan Lei*, Yuchen Zhang. Prediction of Drug-Target Affinity Using Attention Neural Network. International Journal of Molecular Sciences, 2024, 25(10):5126 (SCI, 2024年中国科公司二区, IF: 5.6)

[16]   Zhengfeng Wang, Xiujuan Lei, Yuchen Zhang, Fang-Xiang Wu and Yi Pan. Recent Progress of Deep Learning Methods for RBP Binding Sites Prediction on circRNA, Current Bioinformatics,  online 31 July, 2024 (SCI, 2024年中国科公司三区, IF: 2.4)

[17]  Mei Ma, Xiujuan Lei, Yuchen Zhang. A Review of Drug-related Associations Prediction Based on Artificial Intelligence Methods, Current Bioinformatics, 2024, 19(6): 530-550 (SCI, 2024年中国科公司三区, IF: 2.4)

[18]  Yao Wang, Xiujuan Lei*, Yuchen Zhang, Yuli Chen, Fang -Xiang Wu. Heterogeneous Graph Transformer with Multi-Source Feature Extraction for circRNA-Drug Association Prediction, Frontiers of Computer Science, 2025, Accepted, DOI:10.1007/s11704-025-50994-w  (SCI, 2025年中国科公司二区, CCF B类期刊, IF:4.6 )

会议论文：

[1]   Yuchen Zhang, Bingzhe Zhao(指导员工), Zhuoqun Fu, Yiming Han, Beidan Liu and Xiujuan Lei. Synergistic Drug Combination Prediction via Graphormer and Drug-Cell Line Pair Graph.  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025, pp. 1480-1486, doi: 10.1109/BIBM66473.2025.11357034. (CCF B类会议)

[2] Yijun He(指导员工), Jiale Li, Yuchen Zhang*, Yuliang Pan and Fuhao Zhang. piRNA-Disease Association Prediction via the Fusion of BERT and Graph Neural Network. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025, pp. 955-960, doi: 10.1109/BIBM66473.2025.11356975.(CCF B类会议)

[3]   Yuchen Zhang, Xiujaun Lei, Zhengfeng Wang and Yi Pan.ICDFGF: Identification of potential circRNA-disease associations based  on feature graph factorization. the 15th ACM  Conference on Bioinformatics, Computational Biology, and Health  Informatics (BCB’24), November 22-25, 2024, Shenzhen, China. ACM,  New York, NY, USA, 10 pages. https://doi.org/10.1145/3698587.3701365

[4]   Yeqiang Wang(指导员工), Sharen Yun(指导员工), Yuchen Zhang*, Xiujuan Lei*, Prediction of miRNA-Disease Associations Based on Hybrid Gated GNN and Multi-Data Integration, IEEE International Conference on Bioinformatics and Biomedicine (BIBM)，Lisbon, Portugal, December 3-6, 2024. pp. 1226-1231, https://ieeexplore.ieee.org/document/10822161/ (CCF B类会议)

[5]     Yuchen Zhang, Xiujuan Lei* and Shi Cheng. PDG-PIO: Predicting Disease-genes Based on Pigeon-inspired Optimization. 2019 IEEE Congress on Evolutionary Computation (CEC), Jun. 2019, Wellington, New Zealand, pp. 3285-3291. (EI: 20193507373658)

[6]     Yuchen Zhang, Xiujuan Lei* and Ying Tan. Firefly clustering method for mining protein complexes. 2017 International Conference on Swarm Intelligence (ICSI), Aug. 2017, Fukuoka, Japan, Lecture Notes in Computer Science, vol. 10385, Springer, pp.601-610. (EI: 20173204020709)

[7]      Yuchen Zhang, Xiujuan Lei* and Ying Tan. Detecting Firefly Algorithm for Numerical Optimization. 2016 International Conference on Swarm Intelligence (ICSI), Jun. 2016, Bali, Indonesia, Lecture Notes in Computer Science, vol. 9712, Springer, pp. 200-210. (EI: 20170203229360)

[8]      Xiujuan Lei*, Yuchen Zhang, Fang-Xiang Wu and Aidong Zhang. Mining protein complexes based on topology potential from weighted dynamic PPI network. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec. 2016, Shenzhen, China, pp. 735-738. ( CCF B类会议, EI: 20170803377750)

[9]      Haiqiang Xiao, Xiujuan Lei*, Yuchen Zhang, Fang-Xiang Wu, Drug Combination Side Effect Prediction Based on Polypharmacy Network and GraphSAGE Algorithm. International Conference on Bioinformatics and Biomedicine (BIBM)，Lisbon, Portugal, December 3-6, 2024. (CCF B类会议)

专著章节：

[1]      Yuchen Zhang, Xiujuan Lei* and Ying Tan. Application of fireworks algorithm in bioinformatics, in 《Handbook of Research on Fireworks Algorithms and Swarm Intelligence》, book edited by Ying Tan, IGI Global, USA, Apr.2020, pp.233-262. (Invited Book Chapter), ISBN13: 978-1-79981-659-1.

[2]      Xiujuan. Lei*, Yuchen Zhang, Jie Zhao, Shi Cheng and Ying Tan. Firefly algorithm and its applications, in《Swarm Intelligence: Innovation, New Algorithms and Methods》, book edited by Ying Tan, IET, London, United Kingdom, Aug.2018, pp.221-250. (Invited Book Chapter), ISBN: 978-1-78561-629-7.

[3]      Yulian Ding, Fei Wang, Yuchen Zhang, Fangxiang Wu. Negative Sample Selection for miRNA-Disease Association Prediction Models, in《Machine Learning Methods for Multi-Omics Data Integration》, book edited by Alkhateeb, A., Rueda, L., Springer, Cham, Jul.2023, pp.75-90. (Invited Book Chapter), ISBN: 978-3-031-36501-0.

 授权专利：

      [1]       雷秀娟，方增强，张宇辰，基于梯度增强决策树预测环状RNA与疾病相关性的方法，发明专利，2022-08-16

      [2]       雷秀娟，方增强，张宇辰，基于双随机游走重启动的多数据整合环状RNA与疾病相关性预测方法，发明专利，2022-05-31

      [3]       云莎仁，张宇辰，一种识别疾病相关microRNA标志物的辅助装置，实用新型专利证书，2025-08-19

[1]      国家自然科学基金青年科学基金项目: 基于分子结构和图语言模型的靶向非编码RNA药物预测方法研究，2025.01-2027.12， 主持

[2]      陕西省自然科学基础研究计划一般项目（青年项目）：基于多组学知识图Transformer与疾病非编码RNA的药物重定位预测方法研究，2024.01-2025.12，主持

[3]      WilliamHill博士科研启动经费 ：基于图嵌入学习的药物重定位与组合药物发现研究，2023.03-2026.03，主持

[4]      国家自然科学基金面上项目：基于计算方法的circRNA功能挖掘及其与复杂疾病的关系预测研究，2020.01-2023.12，参与

[5]      国家自然科学基金面上项目：动态蛋白质网络复合物识别方法研究及其应用，2017.01-2020.12，参与

• 本科毕业生：张成杰（保研）、何芯蕊、徐慧婷、贾鑫华（保研）、金红艺、杜心洁、聂子棋、第五一鹤、王乃朝、云莎仁、刘玺瑶、贾明瑶。

• 校级优秀毕业论文：2026届第五一鹤（校百优）、贾明瑶（校优）。

• 院级优秀毕业论文：2024届张成杰；2025届贾鑫华、金红艺；2026届刘玺瑶。

• 指导的本科生大创项目：

  《基于自然语言处理模型的药物靶点预测方法研究》（国家级优秀结题）

  《基于知识图谱表征学习的miRNA-疾病关联关系预测方法研究》（省级优秀结题）

  《基于分子结构特征的药物协同作用预测方法研究》（国家级）

  《piRNA疾病标志物识别系统设计与实现》（国家级）

  《基于多模态表征与化学语言模型的分子性质预测方法研究》（省级）

  《基于混合注意力机制的癌症病理图像识别方法研究》（省级）

  
  

• 如有对人工智能、深度学习、生物信息学方向感兴趣的同学（本科生、研究生均可），欢迎邮件或QQ联系；

• 可进行科创项目或独立学术研究指导；

     
      主要方向:    人工智能、大模型应用

                        药物发现研究

                        疾病标志物预测与平台开发

                        病理图像预测等

      招生要求：

                      1. 学习态度端正，积极乐观，能主动交流沟通；

                      2. 对于科创项目具有热情，具有探索精神，对失败具有耐心和勇气；

                      3. 对于人工智能编程或大模型十分感兴趣；

                      4. 数学能力较好。

      给予支持：

                      1. 在深度学习/生物信息学科，从模型构建、方法设计、代码编写、论文撰写等方面给予一对一详细指导；

                      2. 指导学术论文撰写、推荐各类科创项目或竞赛；

                      3. 对于在科创工作1年以上，取得一定科研成绩的本科同学，若想保送外校研究生，则积极推荐；若取得公司推免资格，可优先录取。

  [1]    第五届中国智能健康与生物信息大会，西安，2026，学术报告《多模态融合与图Transformer驱动的非编码RNA-药物关联预测研究》

  [2]     2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, 2025, Session Chair 和 学术报告

  [3]     第四届中国智能健康与生物信息大会，哈尔滨，2025，《DTIBFAI: Drug-target Interaction Prediction Based on BERT  and Feature Augment of Informer》

  [4]     The15th ACM  Conference on Bioinformatics, Computational Biology, and Health  Informatics (BCB’24), November 22-25, 2024, Shenzhen, China, 国际学术会议报告《ICDFGF: Identification of potential circRNA-disease associations based  on feature graph factorization》

  [5]     第三届中国智能健康与生物信息大会，福州，2024，学术报告《Identify Potential CircRNA-Disesase Associations Through a Multi-Objective Evolutionary Algorithm》

  [6]     第二届CCF生物信息“新未来”青年学者论坛，苏州，2023，学术报告《Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks》

Google Scholar: https://scholar.google.com.hk/citations?user=aXG0kK8AAAAJ&hl=zh-CN

ResearchGate: https://www.researchgate.net/profile/Yuchen-Zhang-51