师资队伍

1、 主持或参与项目

[1] 社交网络链路预测方法研究，山东省自然科学基金面上项目（ZR2017MF056），主持

[2] 网络视听信息系统开发及部署，企业开发项目，主持

[3] 面向特定领域的知识图谱构建与系统开发，企业开发项目，主持

[4] 移动污染源监管关键技术研究与开发，山东省中小企业能力提升项目（2023TSGC0274），合作单位负责人

[5] 多视角增强的深度词义消歧方法研究，国家自然科学基金面上项目（62376130），主研

[6] 面向基因数据的深度特征选择关键技术研究，国家自然科学基金青年项目（61806105），主研

[7] 智能司法公开关键技术研究--多源司法公开信息搜索结果的融合展示，国家重点研发计划子课题 (2018YFC0831704)，参与

[8] 知识增强的词义消歧深度学习模型研究，山东省自然科学基金（ZR2022MF243）, 主研

[9] 面向医疗健康领域的人机对话系统关键技术研究，济南市人才发展专项资金（20条）引进创新团队项目 (202333008)，参与

[10]垂直领域大模型与智能体关键技术研发及应用示范——强化推理驱动的垂域大模型动态协同优化技术，51大神吃瓜在线观看官方版-51暗黑吃瓜官网2026最新版V.7.19.9.8 安卓版-糖心系列vlog网科教产融合试点工程重大创新类项目课题（2025ZDZX01），主研

[11]智慧中医辅助诊疗关键技术研发，海南榕树家信息科技有限公司，主研

[12] 异质信息网络的聚类分析研究，国家自然科学基金面上项目（61375058），参与

[13] 虚拟社区发现与演化，国家重点基础研究发展计划973计划子课题（2013CB329606），参与

[14] 面向不确定性的Web2.0用户创作内容管理研究，国家自然科学基金重点项目（71231002）参与

2、 代表性奖励

[1] 大模型时代计算机网络教学模式创新研究与实践. 山东省人工智能学会高等教育教学成果奖(一等奖). 2024.12

[2] 学术牵引·平台互构·资源共享：计算机类研究生跨校协同培养模式探索与实践. 山东省高等教育省级教学成果奖(二等奖). 2025.12

3、 代表性论文

(*代表通讯作者，^代表第一作者为本人指导的学生)

[1] Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang*, Wenpeng Lu*, Tieyun Qian*. ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations. Proceedings of the ACM Web Conference 2026 (WWW 2026) [C]. Dubai, United Arab Emirates, 2026. (accepted) (CCF A)

[2] Wenpeng Lu, Kangjun Liu, Jianlei Wang, Xueping Peng, Tao Shen, Fa Zhu, Weiyu Zhang*, Jiabing Zhu, Tao Xin, Athanasios V. Vasilakos. Advancing Chinese Conversation-based Patient Guidance with a Benchmark and Knowledge-Evolvable Assistant [J]. IEEE Journal of Biomedical and Health Informatics. 2025. (accepted) (中科院1区)

[3] Yishuo Li, Qi Zhang, Wenpeng Lu*, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong and Liang Hu. Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. Proceedings of the Web Conference 2025 (WWW 2025) [C]. Sydney, Australia, 2025:5161-5172. (CCF A)

[4] Sibo Wei, Xueping Peng, Yifei Wang, Tao Shen, Jiasheng Si, Weiyu Zhang, Fa Zhu, Athanasios V. Vasilakos, Wenpeng Lu*, Xiaoming Wu, Yinglong Wang*. BianCang: A traditional Chinese medicine large language model [J]. IEEE Journal of Biomedical and Health Informatics. 2025, 1-12. (accepted) (中科院1区)

[5] Xueguan Zhao, Wenpeng Lu*, Chaoqun Zheng, Weiyu Zhang, Jiasheng Si, Deyu Zhou. Plan Dynamically, Express Rhetorically: A Debate-Driven Rhetorical Framework for Argumentative Writing. Proceedings of the 30th Empirical Methods in Natural Language Processing (EMNLP 2025) [C]. Suzhou, China, 2025: 9562-9584. (CCF B)

[6] Ruifan Zuo, Chaoqun Zheng*, Lei Zhu, Wenpeng Lu, Jiasheng Si, Weiyu Zhang. Compact-Yet-Separate: Proto-Centric Multi-Modal Hashing with Pronounced Category Differences for Multi-Modal Retrieval [J]. IEEE Trans. Multim. 2025, 27: 5843-5856. (CCF B)

[7] Huiting Li^, Weiyu Zhang*, Yong Shang, Wenpeng Lu. MBC-DTA: A Multi-Scale Bilinear Attention with Contrastive Learning Framework for Drug-Target Binding Affinity Prediction. Proceedings of the 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024) [C]. Lisbon, Portugal, 2024: 832-835. (CCF B)

[8] Yang Liu^, Weiyu Zhang*, Jiasheng Si, Zhao Li, Xueping Peng, Wenpeng Lu. Generating Personalized Imputations for Patient Health Status Prediction in Electronic Health Records. Proceedings of the 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024) [C]. Lisbon, Portugal, 2024: 1048-1053. (CCF B)

[9] Rui Wang^, Yonghe Chen, Weiyu Zhang*, Jiasheng Si, Hongjiao Guan, Xueping Peng, Wenpeng Lu. MedConMA: A Confidence-Driven Multi-agent Framework for Medical Q&A. Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025) [C]. Sydney, Australia, 2025: 421-433. (CCF C)

[10] Yong Shang^, Weiyu Zhang*, Huiting Li, Yang Liu, Wenpeng Lu. A Novel Framework for Multi-hop Reasoning via Alternate Entity and Sequence Generation. Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025) [C]. Sydney, Australia, 2025: 456-467. (CCF C)

[11] Zhizhuo Zhao, Wenpeng Lu*, Xueping Peng, Lumin Xing, Weiyu Zhang and Chaoqun Zheng*. Automated ICD Coding via Contrastive Learning with Back-Reference and Synonym Knowledge for Smart Self-Diagnosis Applications [J]. IEEE Transactions on Consumer Electronics, 2024, 70(3): 6042-6053. (中科院2区)

[12] Zhufeng Shao, Shoujin Wang, Wenpeng Lu*, Weiyu Zhang, Hongjiao Guan and Long Zhao. Filter-enhanced Hypergraph Transformer Framework for Multi-Behavior Sequential Recommendation. Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024) [C]. Seoul, Korea, 2024: 6575-6579. (CCF B)

[13] Rongyao Wang, Shoujin Wang, Wenpeng Lu*, Xueping Peng, Weiyu Zhang, Chaoqun Zheng and Xinxiao Qiao. Intention-aware User Modeling for Personalized News Recommendation. Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023) [C]. Tianjin, China, 2023: 179-194. (CCF B)

[14] Pengyu Zhao, Shoujin Wang, Wenpeng Lu*, Xueping Peng, Weiyu Zhang, Chaoqun Zheng and Yonggang Huang. News Recommendation via Jointly Modeling Event Matching and Style Matching. Proceedings of the 2023 European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (ECML/PKDD 2023) [C]. Turin, Italy, 2023: 404-419. (CCF B)

[15] Ziqiang Weng^, Weiyu Zhang* and Zhongxiu Xia. Adaptive attention encoder for attribute graph embedding. Proceedings of the 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2021) [C]. New York, USA. (CCF C, EI)

[16] Zhengkai Wang^, Weiyu Zhang*, Zhongxiu Xia and Wenpeng Lu. A Model for COVID-19 Prediction Based on Spatio-temporal Convolutional Network. Proceedings of the IEEE World Congress on Computational Intelligence (IJCNN 2022) [C]. Padua, Italy, 2022.（CCF C, EI）

[17] Xu Sun^, Weiyu Zhang*, Zhengkai Wang. Variational Graph Embedding for Community Detection. Proceedings of the 29th International Conference on Neural Information Processing (ICONIP 2022) [C]. New Delhi, India, 2022. (CCF C)

[18] Xinchao Guo^, Weiyu Zhang*, Xu Sun. Graph Representation Learning on Noise and Sparse Labels. The 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2022) [C]. Hai Kou, China, 2022. (CCF C)

[19] 窦伟^, 张维玉*, 翁自强，夏忠秀. 结构增强的属性网络表示学习[J]. 计算机工程与应用, 2021, 57(18):149. (中文核心期刊)

[20] 郭新超^, 张维玉*, 夏忠秀. 双向数据增强图卷积网络[J]. 计算机工程与设计. (中文核心期刊)

[21] Zihong Zhu^, Weiyu Zhang*, Xinchao Guo, Xinxiao Qiao. Lorentzian Graph Convolution Networks for Collaborative Filtering. International Joint Conference on Neural Networks (IJCNN 2023) [C]. Queensland, Australia, 2023.（CCF C）

[22] Hui Han^, Weiyu Zhang*, Xu Sun, Wenpeng Lu. Multi-View Feature Fusion Based on Self-Attention Mechanism for Drug-Drug Interaction Prediction. International Joint Conference on Neural Networks (IJCNN 2023) [C]. Queensland, Australia,2023.（CCF C）

[23] Xu Sun^, Weiyu Zhang*, Xinchao Guo, Wenpeng Lu. Unsupervised Graph Neural Network with Self-Expressive Attention for Community Detection. Proceedings of International Conference on Computer Supported Cooperative Work in Design (CSCWD 2023) [C]. Rio de Janeiro, Brazil, 2023. (CCF C, EI)

[24] Weiyu Zhang, Bin Wu, Yang Liu. Cluster-level trust prediction based on multi-modal social networks [J]. Neurocomputing, 2016.（SCI二区期刊）

[25] 张维玉, 吴斌, 耿玉水, 朱江. 基于协同矩阵分解的评分与信任联合预测[J]. 电子学报, 2016, 44(7): 1581-1586.（国家一级期刊，EI收录）

4、 代表性专利

[1] 一种基于图注意力对抗网络的社会化推荐方法及系统  ZL202110954647.8

[2] 一种用于道路占有率预测的多元时空图神经网络方法及系统 ZL202210679983.0

[3] 一种基于图神经网络的论文文本分类方法及系统 ZL202210955838.0

[4] 基于洛伦兹图卷积网络的书籍推荐方法及系统 ZL202310390582.8

[5] 基于频率感知横、纵向聚合的ICU患者死亡率预测方法 ZL202511012897.4

[6] 基于电子健康记录的临床预测方法、系统、设备及介质 ZL 202411633731.X

5、 硕士研究生毕业生去向

[1] 窦  伟， 2018级，青岛市城市建设档案馆工作

[2] 翁自强， 2019级，浙江大学医学院附属邵逸夫医院工作

[3] 夏忠秀， 2019级，滨州市阳信县行政审批服务局工作

[4] 孙  旭， 2020级，电子科技大学计算机学院攻读博士

[5] 王政凯， 2020级，西安电子科技大学计算机学院攻读博士

[6] 郭新超， 2020级，齐鲁医院急诊科信息部工作

[7] 明  岩， 2021级，天津大学智能与51大神吃瓜在线观看攻读博士

[8] 韩  慧， 2021级，中国电信临沂分公司工作

[9] 朱子红， 2021级，中国工商银行临沂分行工作

[10] 尚  勇，2022级，中国农业银行威海分行工作

[11] 李慧婷，2022级，山东外事职业大学工作