• Name (Pinyin):
  Cui Lizhen
• Date of Employment:
  2006-03-22
• School/Department:
  School of Software
• Administrative Position:
  Dean
• Business Address:
  山东省济南市高新区舜华路1500号
• Gender:
  Male
• Alma Mater:
  Shandong University
• Supervisor of Doctorate Candidates

Prof. Cui is a full professor and doctoral supervisor of Shandong University. Being a visiting scholar of Georgia Institute of Technology and a visiting professor of Nanyang Technological University, he is appointed dean Undergraduate School of Shandong University, dean and deputy party secretary for School of Software, co-director of Joint SDU-NTU Centre for Artificial Intelligence Research(C-FAIR), director of the Research Center of Software and Data Engineering, Shandong University, as well as associate director of the National Engineering Laboratory for E-Commerce Transaction Technologies. Currently, he serves as the Member of CCF Council, the Member of Standing Committee of the CCF TCDB, the Member of Standing Committee of the CCF TCSC, the Member of Committee of the CCF TFBD, and the Member of Committee of the CCF TCCC. He is Secretary-General of the Association for Crowd Science and Engineering (ACE), a member of the National Advisory Committee on Software Engineering Professional Teaching Steering of MOE, and a member of the Committee on computing Professional Teaching Steering of Shangdong Provence.

Prof. Cui's research interests include Data Intelligence and Cognitive Informatics, trusted artificial intelligence. He has received nearly 20 research grants at national, provincial, and ministerial levels, including the National Natural Science Foundation of China, National Key Research and Development Program, National Key Support Program, National Innovation Method Work Special Item, National Science and Technology Support Program Key Project, National Doctoral Fund of Ministry of Education of China, the Science and Technology Innovation Major Project of Shandong Province, and the Major Basic Research of Natural Science Foundation of Shandong Province. He has published more than 60 high-level academic papers in TKDE，TPAMI，TPDS, TSC, TCC, Chinese Journal of Computers, Scientific Data, AAAI, SIGIR, CIKM, BIBM, ICDCS, DASFAA, ICWS, ICSOC, AAMAS、MICCAI. Prof. Cui is awarded one Second Class Prize for Wu Wen-Jun AI Science& Technology Award and awarded several prizes for Scientific and Technology Progress (STP), including one Second Class Prize for STP of State Education Ministry of China, one First Class Prize, and two Second Class Prizes for STP of Shandong Province. He has received one First Class Prize for Ministry of Education Teaching Achievement Award, and one Second Class Prize for Teaching Achievement Award of Shandong Province. Besides, he is the recipient of the Innovative Applications of Artificial Intelligence Award for the artificial intelligence top meeting AAAI2018. 

■ Course Teaching

Undergraduate course: Database System Principle, Introduction to Data Science

Postgraduate course: Data Science and Engineering, Responsible AI

■ Research Interest

Data Intelligence and Cognitive Informatics trusted artificial intelligence, etc.

■ Education Experience

2002-2005, School of Computer Science and Technology, Shandong University, Doctor degree

1999-2002, School of Computer Science and Technology, Shandong University, Master degree

1995-1999, School of Mathematics and System Science, Shandong University, Bachelor degree 

■ Work Experience

2005 – Present Shandong University

■ Scientific Research

[1]. 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（91846205），2019.1-2022.12

[2]. 众智网络建模与互联，国家重点研发计划（2017YFB1400102），2018-2020

[3]. 科学大数据管理系统，国家重点研发计划（2016YFB1000600），2016.7-2019.6

[4]. 基于机器学习的智能创新方法关键技术研究与应用示范，国家科技部创新方法专项（2018IM020200），2018.10-2021.9

[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，国家科技部创新方法专项（2015IM010200），2015-2017

[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（61572295），2016-2019

[7]. 基于粒度计算的网络服务聚合与协同方法研究，国家自然科学基金（61003253），2011.1-2013.12

[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（2018YFJH0506），2018.6-2020.12

[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（ZR2017ZB0420），2017-2019

[10]. 山东省消化道肿瘤精准筛查大数据平台研发建设与深度数据挖掘技术，山东省重点研发计划（2019JZZY011007-2），2019.1-2021.12 

■ Teaching Research

[1]. 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”。

[2]. 2018 年度山东省本科教改项目 “数据科学与大数据技术学科在新工科多方协同育人模式下的改革与实践”。

[3]. 2015年度山东省本科高校教学改革研究项目“软件工程专业实践能力培养与创新创业一体化平台建设”。

■ Publication

Journal Papers

[1]. Xiangwei Zheng, Xiaofeng Liu, Yuang Zhang, Lizhen Cui, Xiaomei Yu: A portable HCI system-oriented EEG feature extraction and channel selection for emotion recognition. Int. J. Intell. Syst. 36(1): 152-176 (2021)

[2]. Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui:Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer Peer Netw. Appl. 14(3): 1736-1747 (2021)

[3]. 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)

[4]. Mingjiao Si, Lizhen Cui, Wei Guo, Qingzhong Li, Lei Liu, Xudong Lu, Xin Lu: A comparative analysis for spatio-temporal spreading patterns of emergency news[J]. Scientific Reports, 2020, 10(1).

[5]. Yankun Cao, Xiaoyan Xiao, Zhi Liu, Meijun Yang, Dianmin Sun, Wei Guo, Lizhen Cui, Pengfei Zhang: Detecting vulnerable plaque with vulnerability index based on convolutional neural networks. Comput. Medical Imaging Graph. 81: 101711 (2020)

[6]. Yiran Shen, Bowen Du, Weitao Xu, Chengwen Luo, Bo Wei, Lizhen Cui, Hongkai Wen: Securing Cyber-Physical Social Interactions on Wrist-Worn Devices. ACM Trans. Sens. Networks 16(2): 19:1-19:22 (2020)

[7]. Yingying Xu, Zhi Liu, Yujun Li, Haixia Hou, Yankun Cao, Yuefeng Zhao, Wei Guo, Lizhen Cui: Feature data processing: Making medical data fit deep neural networks. Future Gener. Comput. Syst. 109: 149-157 (2020)

[8]. Yuliang Shi, Mianxiong Dong, Wenbin Zhang, Lei Liu, Yongqing Zheng, Lizhen Cui, Junhua Zhang: AdaptScale: An adaptive data scaling controller for improving the multiple performance requirements in Clouds. Future Gener. Comput. Syst. 105: 814-823 (2020)

[9]. Zhe Yang, Kun Ma, Xiaoli Zhang, Lizhen Cui, Bo Yang: RSCVC: Row-based semantic cache with incremental versioning consistency. Concurr.Comput.Pract. Exp.32.(17) (2020)

[10].  Yujun Li, Meijun Yang, Zhi Liu, Yuefeng Zhao, Dongmei Jiang, Lizhen Cui, Mingyu Wang.Detection and diagnosis of myocarditis in young patients using ECG analysis based on artificial neural networks. Computing 102(1): 1-18 (2020)

[11]. Yongqing Zheng， Han Yu，Lizhen Cui, Chunyan Miao， Cyri1 Leung, Yang Liu, Qiang Yang. Addressing the Challenges of Government Service Provision with AI. AI Magazine2020

[12]. Lei Liu, Song Xu， Lizhen Cui， Geyong Min， Haozhe Wang. Power Rationing for Tradeoff Between Energy Consumption and Profit in Mu1timedia Heterogeneous Networks. IEEE Journal on Selected Areas in Communications 37(7): 1642-1655 (2019)

[13]. Junhua Zhang， Dong Yuan， Lizhen Cui， Bingbing Zhoub. A high1y efficient a1gorithm towards optima1 data storage and regeneration cost in multip1e clouds. Future Generation Computer Systems 99: 459-472 (2019)

[14]. Lizhen Cui, Xiangzhen Xu, Shijun Liu, Hui Li， Zhiqi Liu. TPGraph: a hospital readmission prediction method based on temporal phenotype graphs. IJDMB 20(3): 247-266(2018)

[15]. 郭伟,张凯强,崔立真支持SaaS应用多维异构性能需求的云资源放置方法.计算机学报2018 41(6) : 1005-1017

[16]. Lizhen Cui, Lingxi Yue， Dong Wen & Lu Qin. K-Connected Cores Computation in Large Dual Networks. Data Science and Engineering 3(4): 293-306 (2018)

[17]. Rui Jia, Pengcheng Jiang, Lei Liu, Lizhen Cui, Yuliang Shi. Data Driven Congestion Trends Prediction of Urban Transportation. IEEE Internet of Things Journa1 5(2):581-591 (2018)

[18]. Lei Liu, Yongjian Ren, Lizhen Cui, Yu1iang Shi, Qingzhong Li. Performance measurement of data f1ow processing emp1oying software defined architecture. Future

Generation Comp. Syst. 82: 235-243 (2018)

[19]. Dong Yuan, Lizhen Cui， Wenhao Li, Xiao Liu, Yun Yang. An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Mu1tiple Clouds. IEE Trans. Cloud Computing 6(2): 519-531 (2018)

[20]. 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. Services Computing 11(4): 727-739 (2018)

[21]. Yu1iang Shi, Mianxiong Dong, Wenbin Zhang, Lei Liu, Yongqing Zheng, Lizhen Cui, Junhua Zhang. AdaptScale: An adaptive data scaling controller for improving the multiple performance requirements in Clouds. Future Generation Computer Systems， 2017

[22]. 崔立真，史玉良，刘磊，赵卓峰，毕艳冰.面向智能电网的电力大数据存储与分析应用.大数据(6): 42-54 (2017)

[23]. Han Yu, Zhiqi Shen, Chunyan Miao，Cyri1 Leung，Yiqiang Chen, Simon Fauve1, Jun Lin, Lizhen Cui, Zhengxiang Pan, Qiang Yang. A dataset of human decision-making in teamwork management. Scientific Data 4(160127): 1-12 (2017)

[24]. 何伟，崔立真,任国珍，李庆忠，李婷.移动计算环境下基于动态上下文的个性化Mashup服务推荐.中国科学:信息科学46(6): 677-697 (2016)

[25]. Dong Yuan, Yun Yang， Xiao Liu, Wenhao Li, Lizhen Cui, Meng Xu，Jinjun Chen. A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud. IEEE Trans. Para1le1 Distrib. Syst. 24(6): 1234-1244 (2013)

[26]. 郑湃，崔立真，王海洋，徐猛.云计算环境下面向数据密集型应用的数据布局策略与方法.计算机学报33(8): 1472-1480 (2010)

Conference Papers

[1]. Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li: Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization. DASFAA (2) 2021: 692-700

[2]. Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo: Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders. APWeb/WAIM (2) 2020: 132-140

[3]. Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo: A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks. APWeb/WAIM (1) 2020: 779-793

[4]. Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo: Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199

[5]. Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li: CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM 2020: 469-472

[6]. Zhiqi Liu, Lizhen Cui, Wei Guo, Wei He, Hui Li, Jun Gao: Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph. DASFAA (2) 2020: 385-397

[7]. Wei Ge, Wei Guo, Lizhen Cui, Hui Li, Lijin Liu: Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention. DASFAA (3) 2020: 459-473

[8]. 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

[9]. Lizhen Cui, Jing Chen, Wei He, Wei Guo: Answer Aggregation for Crowdsourcing Microtasks using Approximate Global Optimal Searching. ICWS 2020: 45-49

[10]. Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui: BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. IJCNN 2020: 1-8

[11]. 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

[12]. 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

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

[14]. 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

[15]. Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui: Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132

[16]. 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

[17]. 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

[18]. Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Nguyen Hung, Zi Huang, Lizhen Cui: GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. SIGIR 2020: 689-698

[19]. Qinyong Wang， Hongzhi Yin， Hao Wang，Quoc Viet Hung Nguyen, Zi Huang， Lizhen Cui. Enhancing Collaborative Fi1tering with Generative Augmentation. KDD 2019

[20]. Lei Liu, Song Xu， Jia Hu， Lizhen Cui, Geyong Min. Balancing of the quality-of- service， energy and revenue of base stations in wireless networks via tullock contests. IWQoS 2019: 26:1-26:8

[21]. Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser. Ethically Aligned Multi-agent Coordination to Enhance Social Welfare. AAMAS 2019: 2300-2302

[22]. Ruican Li, Hui Li, Wei Guo, Lizhen Cui. Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors. BIBM 2019: 1091-1095

[23]. Zeyuan Cui, Li Pan, Shijun Liu, Lizhen Cui.Infer Latent Privacy for Attribute Network in Knowledge Graph. BigData 2019: 2542-2551

[24]. Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao. Generating Persuasive Visual Storylines for Promotional Videos. CIKM 2019: 901-910

[25]. Yiming Cao, Lizhen Cui, Wei He.Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph. DASFAA (3) 2019: 259-263

[26]. Songyuan Li, Jiwei Huang, Bo Cheng, Lizhen Cui, Yuliang Shi.FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints. ICWS 2019: 255-259

[27]. Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan.Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. ICWS 2019: 403-407

[28]. Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui.Enhancing Collaborative Filtering with Generative Augmentation. KDD 2019: 548-556

[29]. Yun Jiang, Wei He, Lizhen Cui, Qian Yang. User Location Prediction in Mobile Crowdsourcing Services. ICSOC 2018: 515-523

[30]. Yinan Zhang, Lizhen Cui, Jiwei Huang, Chunyan Miao. CrowdMerge. Achieving Optimal Crowdsourcing Quality Management by Sequent Merger. ICCSE 2018: 25:1-25:8

[31]. Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel and Cyril Leung. Ethically Aligned Opportunistic Scheduling for Productive Laziness. AAAI 2019

[32]. 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

[33]. Renfeng Ma, Qi Zhang, Jiawen Wang, Lizhen Cui, Xuanjing Huang. Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network. SIGIR 2018: 195-204

[34]. Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang. Opportunistic Work-Rest Scheduling for Productive Aging. HCI (14) 2018: 413-428

[35]. Lingxi Yue, Dong Wen, Lizhen Cui, Lu Qin, Yongqing Zheng. K-Connected Cores Computation in Large Dual Networks. DASFAA (1) 2018: 169-186

[36]. Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao. Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions. CIKM 2017: 287-295

[37]. Xiangzhen Xu, Lizhen Cui, Shijun Liu, Hui Li, Lei Liu, Yongqing Zheng. Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes. BIBM 2017: 824-829

[38]. Xudong Zhao, Jiwei Huang, Lei Liu, Shijun Liu, Calton Pu, Lizhen Cui. Automated Performance Evaluation for Multi-tier Cloud Service Systems Subject to Mixed Workloads. ICDCS 201: 2630-2631

[39]. Xudong Zhao, Jiwei Huang, Lei Liu, Yuliang Shi, Shijun Liu, Calton Pu, Lizhen Cui. Real-Time Soft Resource Allocation in Multi-Tier Web Service Systems. ICWS 2017: 492-499

[40]. Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao. A Fraud Resilient Medical Insurance Claim System. AAAI 2016: 4393-4394

[41]. Yuliang Shi, Jiwei Huang, Xudong Zhao, Lei Liu, Shijun Liu, Lizhen Cui. Integrating Theoretical Modeling and Experimental Measurement for Soft Resource Allocation in Multi-tier Web Systems. ICWS 2016: 522-529

[42]. Yuliang Shi, Yu Chen, Shibin Sun, Lei Liu, Lizhen Cui. A Data Services-Based Quality Analysis System for the Life Cycle of Tire Production. ICSOC 2016: 715-729

[43]. Chenfei Sun, Yuliang Shi, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao. A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract). AAMAS 2016: 1287-1288

■ Honors and Awards

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

[2]. PIDS: An Intelligent Electric Power Management Platform（智能用电管理平台），AAAI2020创新应用奖

[3]. 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

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

[5]. 面向云应用的软件智能生产平台与环境，2019年山东省科技进步二等奖

[6]. 互联网+”智慧人社服务平台，2019年山东省科技进步二等奖

[7]. 电力需求侧管理智能主站系统，2012年高等学校科学研究优秀成果科技进步二等奖

[8]. 劳动力市场管理信息系统，2009年山东省科技进步一等奖

[9]. 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

[10]. 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

[11]. 跨区域跨校在线开放课程“1+M+N”协同教学模式创新与实践，2018年高等教育国家级教学成果奖一等奖

[12]. “全链条、协同化、网络化、立体化”的软件工程创新平台建设，2017年山东省教学成果奖二等奖

[13]. 山东省地方标准DB37/T 1387.2-2009《集成电路（IC）卡应用技术规范》，ICS 23.240.15 L64

[14]. 基于图模型的时序表征学习及其在医疗风险预测中的应用，2018年济南市科学技术一等奖

[15]. 中心城市社会保险信息管理系统，2010年济南市创新项目一等奖

[16]. “全链条、协同化、网络化、立体化”的软件工程创新平台建设，山东大学2018年教学成果奖一等奖

[17]. 基于智能辅助教学平台的信息管理与信息系统专业课程教学模式改革与实践，山东省教学成果奖一等奖

[18]. 基于MOOC/SPOC“1+M+N”模式的协同式教学改革创新及实践，山东省教学成果奖特等奖

[19]. 软件服务工程课程群建设，山东大学2017年教学成果奖二等奖 

■ Books and Patents

Books

[1]. 《数据化企业致胜之道—数据驱动的创新》，刘士军，鹿旭东，崔立真编著，电子工业出版社，2017

[2]. 《营销数据科学》，崔立真，鹿旭东译，机械工业出版社, 2017

[3]. 《大数据驱动创新方法工作平台》，崔立真、鹿旭东、郭伟、刘士军，山东大学出版社，2017

Patents

[1]. 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，202010108016.X

[2]. 一种基于知识图谱挖掘的个性化学习路径推荐方法及系统，202010096087.2

[3]. 基于多模态商品评论分析的商品推荐方法及系统，202010090379.5

[4]. 一种基于改进异构信息网络的患者相似度分析方法及系统，202010249872.7

[5]. 基于双聚类算法的异常医保数据检测系统及方法，202010368770.7

[6]. 一种基于深度学习的相似病历查找方法与系统，202010412253.5

[7]. 基于深度学习的消化内镜报告结构化方法与系统，202010413026.4

[8]. 一种基于多视图双聚类的就医欺诈行为检测方法及系统，202010579517.6

[9]. 一种微服务自动化部署管理系统及方法，202010613545.5

[10]. 一种自动生成代码的微服务管理系统及代码生成方法，202010610493.6

[11]. 一种基于医疗健康大数据的数据治理方法及系统，202011097864.1

[12]. 基于深度学习的医学图像报告自动生成方法及系统，202010940977.7

[13]. 一种基于深度学习的用户兴趣点推荐方法与系统，202011084795.0

[14]. 基于知识图谱的病人病历相似度评估方法及系统，202011131273.1

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