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崔立真，博士，山东大学特聘教授，博士生导师。现任山东大学软件学院院长，山东大学-南洋理工大学人工智能国际联合研究院（C-FAIR）联合院长，电子商务交易技术国家工程实验室副主任，IET Fellow，泰山学者特聘专家，山东省教学名师，入选全国高校计算机优秀教师奖励计划，获评山东大学“我心目中的好导师”；中国计算机学会（CCF）理事、杰出会员，担任CCF济南分部主席，协同计算专委副主任，数据库专委常委，教育部软件工程专业教指委委员、工程教育认证专家等职务。

主要研究领域为软件与数据工程、可信人工智能，主持国家重点研发计划项目和课题、国家自然科学基金重点项目、山东省重大创新工程等国家、省部级科研项目30余项；发表高水平学术论文200余篇，谷歌学术引用8000+，多篇入选ESI高被引论文，入选全球前2%顶尖科学家榜单；授权发明专利60余项，制定地方和行业标准5项，出版专著/教材6部。获国家教学成果二等奖（第一完成人），山东省科技进步一等奖（第一完成人）等省部级奖励多项。

课程教学

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本科课程：数据库原理与系统、数据科学导论

研究生课程：负责任的AI

研究方向

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软件与数据工程、数据库与知识工程、人工智能

科研项目

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[1]. 服务效能理论与技术研究及应用 ，国家重点研发计划项目

[2]. 工业互联网云-边-端轻量化智能软件体系构建与优化研究研究，国家自然科学基金-重大研究计划重点项目

[3]. 面向全人群全生命历程健康管理决策的多源异构时空大数据融合方法研究，国家自然科学基金-重大研究计划重点项目

[4]. 众智网络建模与互联，国家重点研发计划课题

[5]. 面向大数据创新研发的支撑环境关键技术研究与应用示范，科技部创新方法专项

[6]. 面向复杂大数据应用的数据动态协同分布与均衡控制关键技术研究，国家自然科学基金

[7]. 基于区块链的数据安全流转技术研究与应用, 山东省重点研发计划（重大创新工程）

[8]. 大数据驱动的全流程智能医疗健康服务关键技术与平台，山东省重大科技创新工程项目

[9]. 面向典型大数据应用的大图数据计算模型与方法，山东省自然科学基金重大基础研究项目 

科研奖励

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[1]. 智链融合的公共数据要素可信共享与流通服务关键技术及应用，2023年山东省科技进步一等奖

[2]. 多粒度健康风险评估与临床辅助诊断关键技术，2019年吴文俊人工智能科技进步奖二等奖

[3]. 劳动力市场管理信息系统，2009年山东省科技进步一等奖

[4]. 电力需求侧管理智能主站系统，2012年教育部高等学校科学研究优秀成果科技进步二奖

[5]. 支持持续进化的云应用智能软件开发平台及环境, 2020年中国电子学会科学技术奖三等奖

[6]. 基于OSGI体系结构的人力资源和社会保障一体化平台，2012年山东省科技进步二等奖

[7]. 支持多行业的职业资格服务及运营平台，2011年山东省科技进步二等奖

[8].PIDS: An Intelligent Electric Power Management Platform，AAAI2020创新应用奖

[9]. SmartHS: An AI Platform for Improving Government Service Provision，AAAI2018创新应用奖

 教研项目与教学成果

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[1].“三融一化”的拔尖创新软件人才培养模式探索与实践，国家教学成果奖二等奖、山东省教学成果奖特等奖（排名第一）。

[2].“四位一体”螺旋式“人工智能+X”研究生培养模式研究实践，山东省研究生教学成果奖二等奖（排名第一）。

[3]. 教育部第二批新工科研究与实践项目“以高端复合型国际化人才培养为导向的特色化示范性软件学院建设探索与实践”。

论文成果

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期刊

[1]. Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEETransaction on Knowledge and Data Engineering(TKDE) .(2022)

[2]. Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, and Lei Liu. 2023. Modeling Long- and Short-term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM Trans. Knowl. Discov. (2023)

[3]. Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu :HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Netw. Learn. Syst.(2022)

[4]. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023)

[5]. Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao:Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238(Part B): 121740 (2024)

[6]. Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan:TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. Expert Syst. Appl. 238(Part E): 122184 (2024)

[7]. Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36(2): 913-926 (2024)

[8]. Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2534-2544 (2024)

[9]. Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023)

[10]. Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui:EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11(1): 53 (2023)

[11]. Lu Bai, Ziwei Huang, Lizhen Cui, Xiang Cheng:A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications. IEEE Trans. Wirel. Commun. 22(12): 9233-9247 (2023)

[12]. Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang: Toward Personalized Federated Learning.IEEE Transactions on Neural Networks and Learning Systems PP(99):1-17

[13]. Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022)

[14]. Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022)

[15]. Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama:NoiLin: Improving adversarial training and correcting stereotype of noisy labels. Trans. Mach. Learn. Res. 2022 (2022)

[16]. Haiting Zhong, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao:Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. Data Sci. Eng. 7(4): 370-382 (2022)

[17]. Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao:Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022)

[18]. Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Li-zhen Cui:An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37(6): 1356-1368 (2022)

[19]. Yanxiang Wang, Xian Zhang, Yiran Shen, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen:Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3436-3449 (2022)

[20]. Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao:Auxiliary Learning for Relation Extraction. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 182-191 (2022)

[21]. Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 60:1-60:21 (2022)

[22]. Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi, Yuezhong Zhang, Lizhen Cui, Shuo Li:TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. IEEE J. Biomed. Health Informatics 26(8): 4067-4078 (2022)

[23]. Guanhua Ye, Tong Chen; Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin: Heterogeneous Collaborative Learning for Personalized Healthcare Analytics Via Messenger Distillation. IEEE Journal of Biomedical and Health Informatics(2022)

[24]. Weiming Huang, Daokun Zhang, Gengchen Mai, Xu Guo, Lizhen Cui: Learning urban region representations with POIs and hierarchical graph infomax. ISPRS Journal of Photogrammetry and Remote Sensing 196, 134-145(2022)

[25]. Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo, Zhiyuan Su:Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Sci. Eng. 6(3): 294-309 (2021)

[26]. Xudong Lu, Lizhen Cui, Zhenchao Sun, Yuening Zhu:ProAID: path-based reasoning for self-attentional disease prediction. Knowl. Inf. Syst. 63(12): 3087-3101 (2021)

[27]. Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics 25(3): 818-826 (2021)

[28]. Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25(8): 2848-2856 (2021)

[29]. Lei Liu, Song Xu, Lizhen Cui, Geyong Min, Haozhe Wang:Power Rationing for Tradeoff Between Energy Consumption and Profit in Multimedia Heterogeneous Networks. IEEE J. Sel. Areas Commun. 37(7): 1642-1655 (2019)

[30]. Lizhen Cui, Junhua Zhang, Lingxi Yue, Yuliang Shi, Hui Li, Dong Yuan:A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds. IEEE Trans. Serv. Comput. 11(4): 727-739 (2018)

会议

[1]. Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui: MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. AAAI 2023

[2]. Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu1, Zhen Li, Yonghui Xu: MMTN: Multi-modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI 2023

[3]. Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He1,Yonghui Xu, Lizhen Cui, Chunyan Miao:Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.ICDE 2023

[4]. Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen: Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.ICDE 2023

[5]. Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. AAAI 2023: 5789-5796

[6]. Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. AAAI 2023: 6533-6540

[7]. Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen:FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. IEEE Big Data 2023: 5559-5568

[8]. Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu:CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. ICWS 2023: 161-169

[9]. Fenglong Cai, Dong Yuan, Mengwei Xie, Wei He, Lanju Kong, Wei Guo, Yali Jiang, Lizhen Cui:ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing. ICWS 2023: 258-268

[10]. Yuehan Su, Lanju Kong, Yongqing Zheng, Lizhen Cui, Zongshui Xiao, Baochen Zhang, Xinping Min:TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain. ICWS 2023: 716-718

[11]. Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717

[12]. Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062

[13]. Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI 2022: 2398-2405

[14]. Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen:Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR 2022: 1294-1303

[15]. Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881

[16]. Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao:Efficient Reachability Query with Extreme Labeling Filter. WSDM 2022: 966-975

[17]. Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. EMNLP (Findings) 2022: 3395-3407

[18]. Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:Reachability Labeling for Distributed Graphs. ICDE 2022: 686-698

[19]. Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021: 4503-4511

[20]. Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. CVPR 2021: 6811-6820

[21]. Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289

[22]. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935

[23]. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454

[24]. Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:Where are we in embedding spaces? KDD 2021: 2223-2231

[25]. Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014

[26]. Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:PIDS: An Intelligent Electric Power Management Platform. AAAI 2020: 13220-13227

[27]. Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). AAAI 2020: 13865-13866

[28]. Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. ICML 2020: 11278-11287

[29]. Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang:Learning Personalized Itemset Mapping for Cross-Domain Recommendation. IJCAI 2020: 2561-2567

[30]. Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:An AI-empowered Visual Storyline Generator. IJCAI 2020: 5267-5269

[31]. Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang:Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis. MICCAI (2) 2020: 496-505

[32]. Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu:A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. WWW 2020: 1264-1274

[33]. Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:SmartHS: An AI Platform for Improving Government Service Provision. AAAI 2018: 7704-7712

著作专利

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著作

[1]. 《众智网络建模与互联》科学出版社，2023

[2]. 《服务计算十讲》机械工业出版社，2022

[3]. 《服务计算技术-ESTful服务设计与开发》清华大学出版社2022

[4]. 《数据化企业致胜之道—数据驱动的创新》电子工业出版社，2017

[5]. 《营销数据科学》机械工业出版社, 2017

[6]. 《大数据驱动创新方法工作平台》山东大学出版社，2017

专利

[1]. 一种创新方案匹配方法、装置、服务器及系统，ZL 2017 1 0173098.4

[2]. 基于交叉注意神经网络的再就医信息预测方法及系统，ZL 2019 1 0300329.2

[3]. 一种基于智能遗传算法的web服务协同调度方法及系统，ZL 2018 1 1066866.7

[4]. 一种支持不规则时间间隔的虚拟机工作负载预测方法，ZL 2018 1 1354400.7

[5]. 一种基于深度学习的用户兴趣点推荐方法与系统，ZL 2020 1 1084795.0

[6]. 一种使用基于方面的情感分析方法的舆情监控方法和系统，ZL 2020 1 0108016.X

[7]. 基于知识图谱的病人病历相似度评估方法及系统，ZL 2020 1 1131273.1

[8]. 基于图神经网络的终端运行状态预测方法及系统，ZL 2020 1 1095419.1

[9]. 一种基于知识图谱的电子病历问答方法及系统，ZL 2020 1 0047420.0

[10]. 一种基于众智网络的问答任务分配方法及系统，ZL 2019 1 0390185.4