Haiyan Yu

Education

2009/9-2015/6 Ph.D. (& Master) Management Science and Engineering, Tianjin University

Biography

2020/11- 2021/1 Visiting scholar, Department of Statistics, Purdue University

2019/10- 2020/10 Research scholar, Department of Statistics, Penn State University

2017/10- 2019/10 Postdoc Visiting scholar, Department of Statistics, Penn State University

2018/01- Present Associate Professor, Data and Decision Science Research Group, Chongqing University of Posts and Telecoms, China

2015/07- 2017/12 Assistant Professor, Chongqing Key Laboratory of Electronic Commerce and Logistics, School of Economics and Management, Chongqing University of Posts and Telecoms, China

2016/05- 2017/09 Postdoc, School of Computers and Engineering, University of Electronic Science and Technology of China (UESTC)

Publications

Papers (Methodology)

[1] Haiyan Yu, Jiang Shen, & Man Xu. (2016). Temporal case matching with information value maximization for predicting physiological states. Information Sciences, 367, 766-782.

[2] Haiyan Yu, Jiang Shen, & Man Xu.. (2016). Resilient parallel similarity-based reasoning for classifying heterogeneous medical cases in mapreduce. Digital Communications & Networks, 2(3), 145-150.

[3] Haiyan Yu, Jiang Shen, & Man Xu. (2015). Haiyan Y U, Jiang S, Man X U. ECs-based reasoning for group decision analysis in the mislabeled classification context. Systems Engineering and Electronics, 37(11): 2546-2553(in Chinese： 余海燕^#，沈江，徐曼^*，类别误标下证据链推理的群决策分类方法，系统工程与电子技术，2015，（11）：2546-2553 ).

[4] Jiang Shen, Haiyan Yu & Man Xu. (2015). Heterogeneous evidence chains based fusion reasoning for multi-attribute group decision making. Acta Automatica Sinica, 41(4), 832-842(in Chinese： 沈江^# ，余海燕，徐曼^*，实体异构性下证据链融合推理的多属性群决策，自动化学报，2015，（04）：832-842 ).

[5]徐曼^#,沈江^*,余海燕，数据驱动的医疗与健康决策支持研究综述，工业工程与管理,2017,22(01):1-13.

[6] Liping Fu^#，Meng Shen，Haiyan Yu，Man Xu^*，Random Disturbance Reasoning Model of Decision-makingSystem and its Anti-interference Capability，International Journal of Industrial Engineering: Theory, Applications and Practice，2015，22（5）：645-660。

[7]徐曼^#，沈江，余海燕，基于TAN的最小决策损失诊断模型及其推理机制，工业工程与管理，2014，（02）：21-27。

[8]Man Xu^# ，Haiyan Yu，Jiang Shen^*， New approach to eliminate structural redundancy in case resource pools using αmutual information，Journal of System Engineering and Electronics，2013，24（4）：625-633。

[9]Man Xu^#，Haiyan Yu，Jiang Shen^*， New Algorithm for CBR-RBR Fusion with Robust Thresholds，Chinese Journal of Mechanical Engineering，2012，25（6）：1255-1263

[10]徐曼, 沈江, 甘丹, 余海燕. 基于案例-规则检索的特征阈值选择模型. 情报学报. 2017;36(3):260-6.

[11]余海燕,陈京京,邱航,王永,王若凡.嵌套删失数据期望最大化的高斯混合聚类算法[J/OL].自动化学报:1-12[2020-02-17].https://doi.org/10.16383/j.aas.c190081.

[12]余海燕,向娇,高明月.不完整数据非均衡案例的双重鲁棒因果效应推理模型 .系统工程理论与实践, 2020-09-17].待刊

Papers(Empirics)

[1] Hang Qiu, Hai-Yan Yu*, Li-Ya Wang, Qiang Yao, Si-Nan Wu, Can Yin, Bo Fu, Xiao-Juan Zhu, Yan-Long Zhang, Yong Xing, Jun Deng, Hao Yang, Shun-Dong Lei, Electronic Health Record Driven Prediction for Gestational Diabetes Mellitus in Early Pregnancy , Scientific Reports, 16417 . https://www.nature.com/articles/s41598-017-16665-y

[2]Jying-Nan Wang, Ya-Ling Chiu, Hai-Yan Yu*, Yuan-Teng Hsu,Understanding a Nonlinear Causal Relationship Between Rewards and Physicians? Contributions in Online Health Care Communities: Longitudinal Study. Journal of medical Internet research . 2017;19(12):e427. doi: 10.2196/jmir.9082.(ISSN: 1438-8871 ), https://www.jmir.org/2017/12/e427/, (2017): December

[3]邱航^#， 龙虎，潘谅萍^*，王利亚，余海燕. 慢性病大数据分析平台设计, 中国卫生信息管理杂志,2017, 14(4):136-140

[4]余海燕^#, 邱航^*, 王利亚. 基于健康大数据监测平台的移动医疗APP设计, 中国卫生信息管理杂志, 2017, 14(2):142-146 。

[5]Hang Qiu, Kun Tan, Feiyu Long, Liya Wang, Haiyan Yu, et al. The Burden of COPD Morbidity Attributable to the Interaction Between Ambient Air Pollution and Temperature in Chengdu, China,International journal of environmental research and public health 15.3 (2018): 492 (doi: 10.3390/ijerph15030492 ) https://www.mdpi.com/1660-4601/15/3/492, Published: 11 March 2018

[6] Hang Qiu, Haiyan Yu, Liya Wang,* Xiaojuan Zhu, Mengdie Chen, Li Zhou, Ren Deng, Yanlong Zhang, Xiaorong Pu, Jingping Pan, The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis, Environmental Research, 2018(167):428-436

[7]Xiaojuan Zhu,Hang Qiu,Liya Wang,Zhanqi Duan,Haiyan Yu,Ren Deng,Yanlong Zhang,Li Zhou. Risks of hospital admissions from a spectrum of causes associated with particulate matter pollution,Science of The Total Environment, , 2019, 656: 90-100.

[8] Yu H, Chen J, Wang J-N, Chiu Y-L, Qiu H, Wang L-Y. Identification of the Differential Effect of City-level on the Gini Coefficient of Healthcare Service Delivery in Online Health Community. International Journal of Environmental Research and Public Health. 2019;16:2314.https://www.mdpi.com/1660-4601/16/13/2314

[9]Haiyan Yu, Yali Wang, Jying-Nan Wang, Ya-Ling Chiu, Hang Qiu, Mingyue Gao. Causal Effect of Honorary Titles on Physicians’ Service Volumes in Online Health Communities: Retrospective Study. Journal of Medical Internet Research, 2020;22(7):e18527 . https://www.jmir.org/2020/7/e18527/

Project

[1]国家自然科学基金青年项目，71601026，基于变分证据推理多尺度决策的病案类别推荐研究，2017/01-2019/12，17万元，在研，主持

[2]中国博士后科学基金，2016M602676，基于变分证据推理的医疗多尺度数据融合研究，2016/07-2018/4，5万元，结题，主持

[3]重庆市教委科学技术研究项目：多尺度决策情景下的变分证据融合机制研究，KJ1600401， 2016/07-2018/06，3万元，结题，主持

[4] 国家自然科学基金面上项目，71571105，基于异构数据融合的智能医疗临床决策证据推理研究，2016/01-2019/12，56.60万元，在研，参加

[5] 国家自然科学基金青年项目，71201087，基于CBR/RBR融合模式的医疗决策代价敏感性研究，2013/01-2015/12，19万元，已结题，参加

[6]国家自然科学基金面上项目，71171143，基于鲁棒性原理的医疗决策系统品质与效率研究，2012/01-2015/12，43万元，已结题，参加

[7] 重庆市重点产业共性关键技术创新专项(重大主题专项), cstc2017zdcy-zdzx0046 ，跨媒体大数据在全媒体行业的应用与示范， 2017/07-2019/06， 800万元，在研，参加

[8]重庆市基础科学与前沿技术研究(一般) ， 整合型客运交通枢纽运营风险压力评估及韧性构建策略研究,cstc2017jcyjA0802, 2017/07-2010/06， 5万元, 在研，参加

[9]“博士后国际交流计划”派出项目，基于变分证据推理的多尺度预测性析，宾夕法尼亚州立大学-大学城，博士后研究，30万元，在研，主持，2017/10-2019/10

[10]“博士后国际交流计划”学术交流项目，赴荷兰鹿特丹参加INFORMS国际会议并开展学术交流，3万元，在研，完成，2017/07

[11] Stanford Prof. Dembo’s Conference ",Advances in Asymptotic Probability"($800), December 13-17, 2018 (dembo60.stanford.edu).

Conference

(1) Haiyan Yu^#* ，Jiang SHEN, Man XU, Mining empirical and temporal medical data for multiscale decision-making, The 46th International Conference on Computers & Industrial Engineering (CIE46), Tianjin, October 29-30, 2016.

(2) Haiyan Yu^#*, Meng-li YANG, Jie JIAN, Cost-sensitive Association Rule Modeling for Predicting Sequential Event, The 23rd International Conference on Industrial Engineering and Engineering Management 2016 (IEEM 2016), Wuhan, 2016.9.17-2016.9.18 ( DOI: 10.2991/978-94-6239-255-7_26 WOS:000451549400026 )

(3) Man Xu^# ，Jiang Shen，Haiyan Yu^*，Multimodal Data Classification Using Signal Quality Indices and Empirical Similarity-Based Reasoning，42nd Annual Conference of the Computing in Cardiology，1193-1196，Nice，2015.9.6-2015.9.9。

(4) Man Xu^#，Jiang Shen，Haiyan Yu^*，Dan Gan，Yifei Zuo Similarity-based Classification Method with Random Perturbation for Mis-annotated Diagnosis Decision-Making，International Forum for Management Analysis，Chongqing，2015.11.19-2015.11.20 t;wsp:rsidJ 7 }

(5) 余海燕, “基于EMR数据融合推理的类别推荐研究”，国家自然科学基金委员会管理科学与工程学科2017年度青年基金项目研究工作交流会，2017年9月19日至21日，广东工业大学，广州

(6) Haiyan YU, Gestational Diabetes Mellitus Predictive Analytics Using Electronic Medical Records. 2017 INFORMS Healthcare Conference, Rotterdam, Netherlands, 2017/7/25-28

(7)Haiyan YU. First-Trimester Predictive Analytics for Gestational Diabetes Mellitus, 14th International Conference on Service Systems and Service Management (ICSSSM 2017), Dalian, China, 2017/6/15-18

(8)余海燕, “推进健康医疗行业治理大数据应用：重要数据精准统计和预测评价”和“培育健康医疗大数据应用新业态：加强健康医疗海量数据存储清洗、分析挖掘、安全隐私保护等关键技术攻关”, 国家卫计计生委统计信息中心“健康医疗大数据应用发展研讨会”（《国务院办公厅关于促进和规范健康医疗大数据应用发展的指导意见（国办发〔2016〕47号）》文件解读）, 北京，2016/12/18-19

(9) Haiyan YU, Multiscale Decision Making Based on Variational Evidential Reasoning for Medical Record Label Recommendation, INFORMS Annual Conference, Nashville, USA, 2016.11.12-2016.11.16。

(10) Haiyan Yu，Heterogeneous Evidential Chains-Based Reasoning for Multi-attribute Group Decision Making，CORS/INFORMS 2015 Joint International Meeting，Montreal，2015.6.14-2015.6.17

(11) Haiyan Yu, Kun Xiang, and Jiang Yu . "Understanding a moderating effect of physicians' endorsement to online workload: An empirical study in online health-care communities." In 2017 IEEE International Conference on Big Data (Big Data), pp. 4866-4868. IEEE, 2017.(EI: 17504911) , December 11-14, 2017, Boston, MA, USA

(12) Haiyan Yu，Treatment effect Inference with Imputation of Potential Missing Responses in Longitudinal Data, EHR Analytics and Health Statistics, 2019 INFORMS Healthcare Conference, July 27 - 29, MIT, Cambridge, Massachusetts,USA

(13) Haiyan Yu, Deep Learning in Medical Image Analysis (Presentation on review), 2019 Deep Learning Program, with travel funding from Statistical and Applied Mathematical Sciences Institute（SAMSI）, 11/11,2019

(14)Haiyan Yu, Muzi Zhang, Dennis Lin, Mingyue Gao. Multiple response optimization for stratified treatment rules with survival data of factorial designs, 2020 Joint Statistical Meetings, Philadelphia, 8/1-8/6,2020

(15) July 28, to Thursday, August 2 , Vancouver Convention Centre , 2018 Joint Statistical Meetings (JSM 2018), https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/index.cfm

(16)November 09 - 13, 2020 ,IMA workshop on Optimal Control, Optimal Transport, and Data Science , Institute for Mathematics and its Applications | ima.umn.edu , https://ima.umn.edu/2020-2021.1/W11.9-13.20

Workshop

[1] May 21-23, 2018,Carnegie Mellon University, Atlantic Causal Inference Conference - 2018

[2]June 4 to 6 ，the Roy and Diana Vagelos Education Center (VEC), Columbia University. (104 Haven Ave, New York, NY 10032). Conference on Statistical Learning and Data Science / Nonparametric Statistics ，Associated with Statistical Learning and Data Science Section https://publish.illinois.edu/sldsc2018/sessions/

[3] June 18-22, 2018, Workshop on Research Design for Causal Inference, Main Workshop, at Northwestern Pritzker School of Law, Chicago, IL; June 25-27, 2018, at Northwestern Pritzker School of Law, Chicago, IL , Advanced Workshop, http://www.law.northwestern.edu/research-faculty/conferences/causalinference/

[4] June 25-28, University of Pennsylvania, Causal Inference and Big Data Summer Institute, http://www.cceb.med.upenn.edu/cci/causal-inference-and-big-data-summer-institute,

[5] 2015年10月,中科院计算所（技术转移中心）的大数据hadoop开发工程师培训

[6] 2017年7月2日-9日，四川大学-复旦大学“生命组学大数据分析及其在精准防治中的应用”华西暑期课程班

[7] May 8 - 10, 2018, PSU, 50th Anniversary of the Statistics Department, stat.psu.edu/50-years

[8]September 25-27, 2019 , West Palm (Fl),Fall Technical Conference (FTC):“Statistics: Setting the Standard for Success in Quality.”http://www.falltechnicalconference.org/

[9]September 28, 2018 , Princeton University, Princeton Day of Optimization , https://orfe.princeton.edu/pdo/

[10][1] November 26-27,2018, MIT, Boston, the 65th Anniversary of the Operations Research Center

[11] March-3 2020, Causal machine learning masterclass, with travel funding from The Alan Turing Institute, UK

[12] Advances in Asymptotic Probability, December 13-17, 2018, with travel funding from Stanford University, Stanford Prof. Dembo’s Conference

[13] November 7-8, 2019, Institute for Advanced Study, Princeton, Workshop on New Directions in Reinforcement Learning and Control

[14] October 15-18, 2019, Institute for Advanced Study, Princeton, Workshop on Theory of Deep Learning: Where next?

[16] Feb. 7-13, 2020, Tutorials on New Frontiers of Automated Mechanism Design for Pricing and Auctions, Thirty-Fourth Conference on Artificial Intelligence (AAAI-20), New York, NY, USA

[15] June 3-7, 2019, Department of Epidemiology , the Harvard T.H. Chan School of Public Health, Short Course on Causal Inference

[17]May2019, with travel funding from Statistical and Applied Mathematical Sciences Institute（DUKE,NCSU,NCU）, Bayesian, Fiducial, and Frequentist (BFF) Conferences

[18] Haiyan Yu, Muzi Zhang, Dennis Lin, Mingyue Gao. Multiple response optimization for stratified treatment rules with survival data of factorial designs [C], 2020 Joint Statistical Meetings, Philadelphia, 8/1-8/6,2020.

Books

徐曼,沈江,余海燕.大数据医疗：认知科学时代的医疗智能. 机械工业出版社, 第3、5、9、10、11，13,14和21章, 307千字,2017年3月

编委成员, 健康医疗大数据(金小桃 主编), 2018年10月出版 ,人民卫生出版社 , ISBN编码:9787117247566

Teaching Experience

2015秋 Elementary Statistics，重庆邮电大学留学生（研究生）

2016秋 Elementary Statistics，重庆邮电大学留学生（研究生）

2016秋 数据库系统应用，重庆邮电大学本科生

2017春 计算机网络技术，重庆邮电大学本科生

2017春 大数据应用与管理，重庆邮电大学MOOC

2017春 大数据分析与商务智能，重庆邮电大学研究生，10/32学时

2017 春 黄东宾，刘继明，余海燕，许慧，申笑宇. 管理决策分析（Management Decision Analysis）. 2017来华留学英语授课品牌课程, https://cqupt.gaoxiaobang.com/#/courses/detail/16768, 48学时

2016春. 蹇洁 余海燕 廖显 武建军 陈思祁. 大数据分析与应用。IBM产学合作专业综合改革项目建设课程http://cqupt.gaoxiaobang.com/#/courses/detail/10146.

Academic Service

2015.4-至今 INFORMS（国际运筹与管理科学学会）Membership 会员

2017.5-至今 IEEE（国际电气和电子工程师协会）Membership 会员

2017.6-至今 AIS（国际信息系统学会） Membership 会员

2017.12-至今 AOM（国际管理研究院） 会员

2018.4-至今 ASA美国统计学会） 会员

2017.12-至今 Scientific Reports (Nature publishing Group) Peer Reviewer

2018.3-至今 IEEE Transactions on Systems, Man and Cybernetics: Systems , Peer Reviewer

2016.12-至今 自动化学报 Peer Reviewer

2017.12-至今 J Med Internet Res Peer Reviewer

2017.12-至今 academy of management Annual Conference Peer Reviewer

Patents/Copyright

(1) 基于数据融合的心脏病电子健康管理系统 [简称：uiheath] V1.0，著作权人：重庆邮电大学，受理号：2017R11S498123，受理日期：2017/8/18

(2)基于电子病历和机器学习的妊娠期糖尿病预测系统:eGDMv1.0，著作权人：电子科技大学，受理号：2017SR419286，受理日期：2017/5/15

(3) 邱航，余海燕，王利亚，张岩龙，一种基于电子病历数据驱动的妊娠期糖尿病预测方法，发明专利，申请号：201710877528.0，公开号： CN107680676A , 受理日期：2017/9/26,公开日:2018/02/09

(4) 余海燕，向娇，侯于涵，王文娟 ，一种车联网环境下的前车智能避让方向推荐方法 ，发明专利，申请号CN201711244475.5 ，公开号：CN107731010A

(5) 沈江，徐曼，余海燕，基于环境状态感知的决策支持系统[简称:ESPDSS]V1.0.2，著作权人：天津大学，登记号：2015SR130829，中国, 2015/7/13

(6) 沈江，徐曼，余海燕，多传感器信息融合监控系统[简称:MSIFMS]V1.0.1，中国, 著作权人：天津大学，登记号：2015SR130635，2015/7/13

(7) 余海燕，基于证据链推理的鲁棒性分类及对心脏病诊断决策支持，管理科学与工程, 博士论文, 天津大学, 中国, 2015/6/28

Others

[1]2019 Short Course on Causal Inference, Department of Epidemiology , the Harvard T.H. Chan School of Public Health,June 3-7, 2019

[2]2015 年7月,参加西南大学的高校教师职业培训

Paper in Reviews

(1)Haiyan Yu, Ke Liu, Ching-chi Yang, Ping Yu*. Diffusion effect of emotion: the negative sentiment of COVID-19 content gains more responses in tweets. DSS

(2)Haiyan Yu, Ping Yu*. PERFORMANCE GUARANTEES FOR STRATIFIED TREATMENT

RULES WITH A MULTIVARIATE REWEIGHTING METHOD, INFORMS Journal on Computing, https://mc.manuscriptcentral.com/ijoc

(3)Haiyan Yu, W CN, CYL, Mingyue Gao. Electronic Consultation Accessibility Influence on Patient Assessments: Causal Inference with User-generated Tags of Physician Expertise , https://www.editorialmanager.com/chb/default.aspx, Computers in Human Behavior

(4) Haiyan Yu, Jianbin Chen, TREATMENT EFFECT IDENTIFICATION USING TWO-LEVEL DESIGNS WITH PARTIALLY IGNORABLE MISSING DATA , European Journal of Operational Research, https://www.editorialmanager.com/ejor/default.aspx

(5) Ya-Ling Chiu, Jying-Nan Wang, Haiyan Yu, Yuan-Teng Hsu*. Consultation Pricing of Online Healthcare Service in China: A Hierarchical Linear Regression Approach

(6)Dennis Lin, Haiyan Yu*, 如果戴明博士在当今，又当如何面对数据科学中的品质管理与统计

Working Paper

(5) Haiyan Yu, Ching-chi Yang, Filter

(6) Jiangke,

(7) BEM 1 2 3 4(Non-binary)

(8) Jiao Xiang, Haiyan Yu, Partially observable Markov decision process for diabetes management with blood glucose missing data, 2021 Virtual INFORMS Healthcare Conference, July 21, 2021 - Friday, July 23, 2021, https://www.informs.org/Meetings-Conferences/INFORMS-Conference-Calendar/2021-Virtual-INFORMS-Healthcare-Conference 2

(9) COSTAR+missing; COSTAR+Survival (Markov), Robust optimization+ martingale (detailed balance)

(10) Haiyan Yu, Jianbin Chen, Guassian mixture +missing

(11) Haiyan Yu, Haiyan Feng, Pricing

(12) Ghost Data: 3D Voronoi Diagram+VIsiable +Uniform sampling