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 [   ] 

Dr. ZHANG Qingpeng (張清鵬博士)

BEng (HUST), MS (Arizona), PhD (Arizona)

Associate Professor

Contact Information

Office:  YEUNG-P6607
Phone: (+852) 3442-4727
Email: qingpeng.zhang (at) cityu (dot) edu (dot) hk
Web: CityU-Scholars Page

Research Interests

  • Healthcare Data Analytics
  • Medical Informatics
  • Network Science
  • Social Computing
  • Artificial Intelligence
Qingpeng Zhang received the B.S. degree in Automation from Huazhong University of Science and Technology in 2009, and the M.S. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering with a minor in Management Information Systems from The University of Arizona, in 2011 and 2012, respectively. Prior to joining CityU, he worked as a Postdoctoral Research Associate with The Tetherless World Constellation, Department of Computer Science at Rensselaer Polytechnic Institute. He also worked at the Pacific Northwest National Laboratory and Chinese Academy of Sciences in the summer of 2011 and 2010, respectively. Currently, he is an Associate Professor with the School of Data Science at CityU. During 2014-2018, he was with the Department of Systems Engineering and Engineering Management, where he is still an affiliate member.

His research interests include healthcare data analytics, medical informatics, network science, social computing, data mining, machine learning, and semantic web. His work has been supported by the National Natural Science Foundation of China, the National Key Research and Development Program of China (Ministry of Science and Technology of China), Health and Medical Research Fund of the Food and Health Bureau of Hong Kong, Innovation and Technology Fund of the Innovation and Technology Commission of Hong Kong, Guangdong Provincial Natural Science Foundation, and the Collaborative Research Fund and the Theme-based Research Scheme of Research Grants Council of Hong Kong.

He is a senior member of IEEE, and an associate/academic editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computational Social Systems, Journal of Alzheimer's Disease, and PLoS ONE. He is also a guest editor for ACM Transactions on Management Information Systems and Philosophical Transactions of the Royal Society A. He is on the steering committee of the International Society of Digital Health, and the scientific committee of Hong Kong Society of Behavior Health.


Previous Experience

  • Jan 2014 - Jun 2020, Assistant Professor, City University of Hong Kong. School of Data Science (2018-2020) and Department of Systems Engineering and Engineering Management (2014-2018).
  • Aug 2012 - Jan 2014, Postdoctoral Scholar, Rensselaer Polytechnic Institute. The Tetherless World Constellation, Department of Computer Science.
  • May 2011 - Aug 2011, PhD Intern, Pacific Northwest National Laboratory. The Center for Adaptive Computing Software-Multithreaded Architectures (CASS-MT).
  • Jun 2010 - Aug 2010, Visiting Scientist, Chinese Academy of Sciences. Institute of Automation.
  • Aug 2009 - May 2012, Research and Teaching Assistant, The University of Arizona. The Department of Systems and Industrial Engineering and the Department of Management Information Systems.


Publications Show All Publications Show Prominent Publications


Journal

  • Xu, Z. , Zhang, J. , Zhang, Q. , Xuan, Q. & Yip, S.F.P. (in press). A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction. IEEE Transactions on Cybernetics. doi:10.1109/TCYB.2021.3070227
  • Luo, T. , Cao, Z. , Zeng, D. & Zhang, Q. (in press). A dissemination model based on psychological theories in complex social networks. IEEE Transactions on Cognitive and Developmental Systems. doi:10.1109/TCDS.2021.3052824
  • Zhou, J. , Lee, S. , Chang, C.L. , Liu, T. , Leung, K.S.K. , Wai, A.K.C. , Cheung, B.M.Y. , Tse, G. & Zhang, Q. (in press). Anticoagulant or antiplatelet use and severe COVID-19 disease: a propensity score matched territory-wide study. Pharmacological Research. 165. 105473 doi:10.1016/j.phrs.2021.105473
  • Wang, Y. , Lu, C. , Yang, X. & Zhang, Q. (in press). Asymmetric responses to PMI announcements in China’s stock returns. International Journal of Finance and Economics.
  • Liu, S. , Yin, C. , Chen, D. , Lv, H. & Zhang, Q. (in press). Cascading Failure in Multiple Critical Infrastructure Interdependent Networks of Syncretic Railway System. IEEE Intelligent Transportation Systems Transactions. doi:10.1109/TITS.2021.3057404
  • Zhang, C. , Zhang, Q. , Yu, S. , Yu, J.J.Q. & Song, X. (in press). Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. IEEE Transactions on Computational Social Systems. doi:10.1109/TCSS.2021.3061702
  • Li, L. , Zhang, Q. & Zhuang, J. (in press). Delete or Not: A Game Theoretical Model for Rumor Censorship. Risk Analysis. doi:10.1111/risa.13696
  • Yang, J. , Tang, K. , Cao, Z. , Pfeiffer, D.U. , Zhang, Q. & Zeng, D.D. (in press). Demand-Driven Spreading Patterns of African Swine Fever in China. Chaos.
  • Ju, C. , Zhou, J. , Lee, S. , Tan, M.S. , Liu, Y. , Zhang, Y. , Liu, T. , Chan, E.W.Y. , Wong, I.C.K. , Wei, L. , Zhang, Q. & Tse, G. (in press). Derivation of electronic frailty index for short-term mortality in heart failure: a machine learning approach. ESC Heart Failure.
  • Lee, S. , Zhou, J. , Leung, K.S.K. , Wu, W.K.K. , Wong, W.T. , Liu, T. , Wong, I.C.K. , Jeevaratnam, K. , Zhang, Q. & Tse, G. (in press). Development of a predictive risk model for all-cause mortality in diabetic patients in Hong Kong. BMJ Open Diabetes Research and Care.
  • Yan, V.K.C. , Li, X. , Ye, X. , Ou, M. , Luo, R. , Zhang, Q. , Tang, B. , Cowling, B.J. , Hung, I. , Siu, C.W. , Wong, I.C.K. , Cheng, R.C.K. & Chan, E.W. (in press). Drug Repurposing for the Treatment of COVID-19: A Knowledge Graph Approach. Advanced Therapeutics. doi:10.1002/adtp.202100055
  • Zhou, J. , Lee, S. , Wong, J. , Leung, K.S.K. , Nam, R.H. , Leung, P.S. , Chau, Y.L.A. , Liu, T. , Chang, C. , Cheung, B. , Tse, G. & Zhang, Q. (in press). Gender-and Age-Specific Associations of Visit-To-Visit Blood Pressure Variability with Incident Anxiety. Frontiers in Cardiovascular Medicine. doi:10.3389/fcvm.2021.650852
  • Lee, S. , Zhou, J. , Wong, W.K. , Liu, T. , Wu, W.K.K. , Wong, I.C.K. , Zhang, Q. & Tse, G. (in press). Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning. BMC Endocrine Disorders.
  • Cheng, C. , Zhou, J. , Yu, H. , Zhang, Q. , Lin, Y. , Li, D. , Yang, Y. , Wang, Y. , Tse, G. & Xia, Y. (in press). Identification of important risk factors for all-cause mortality of acquired long QT syndrome patients using random survival forests and non-negative matrix factorization. Heart Rhythm. doi:10.1016/j.hrthm.2020.10.022
  • Li, L. , Tian, J. , Zhang, Q. & Zhou, J. (in press). Influence of content and creator characteristics on sharing disaster-related information on social media. Information & Management.
  • Liu, J. , Tse, G. , Lee, S. , Liu, T. , Cao, Z. , Zeng, D.D. , Leung, K.S.K. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. & Zhang, Q. (in press). Interaction Effects Between Angiotensin-Converting Enzyme Inhibitors or Angiotensin Receptor Blockers and Steroid or Anti-viral Therapies in COVID-19: A Population-based Study. Journal of Medical Virology.
  • Zhou, J. , Leung, K.S.K. , Kong, D. , Lee, S. , Liu, T. , Wai, A.K.C. , Chang, C. , Zhang, Q. & Tse, G. (in press). Low rates of liver injury in edoxaban users: evidence from a territory-wide observational cohort study. Clinical Cardiology. doi:10.1002/clc.23570
  • Tse, G. , Hao, G. , Lee, S. , Zhou, J. , Zhang, Q. , Du, Y. , Liu, T. , Cheng, S.H. & Wong, W.T. (in press). Measures of repolarization variability predict ventricular arrhythmogenesis in heptanol-treated Langendorff-perfused mouse hearts. Current Research in Physiology.
  • Huang, D. , Wang, X. , Liu, Y. , Huang, Z. , Hu, X. , Hu, W. , Li, Q. , Chan, H. , Zou, Y. , Ho, I. , Wang, Y. , Cheng, A. , Kang, W. , To, K. , Wang, M. , Wong, S. , Yu, J. , Gin, T. , Zhang, Q. , Li, Z. , Shen, J. , Zhang, L. , Chan, M.T.V. , Liu, X. & Wu, W.K.K. (in press). Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance. Briefings in Bioinformatics. doi:10.1093/bib/bbab040
  • Ciobanu, A. , Oana, M. , Gheorghe, G.S. , Iliesiu, A.M. , Zhou, J. , Zhang, Q. , Nanea, I.T. & Tse, G. (in press). Mutual information reveals non-linear relationships between electrocardiographic conduction or repolarization indices and mechanical dispersion by speckle-tracking echocardiography in the general population. Ultrasound in Medicine and Biology. doi:10.1016/j.ultrasmedbio.2021.01.027
  • Lee, S. , Liu, T. , Zhou, J. , Zhang, Q. , Wong, W.T. & Tse, G. (in press). Predictions of diabetes complications and mortality using hba1c variability: a 10-year observational cohort study. Acta Diabetologica. doi:10.1007/s00592-020-01605-6
  • Lee, S. , Zhou, J. , Guo, C.S. , Wong, W.T. , Liu, T. , Wong, I.C.K. , Jeevaratnam, K. , Zhang, Q. & Tse, G. (in press). Predictive scores for identifying patients with type 2 diabetes mellitus at risk of acute myocardial infarction and sudden cardiac death. Endocrinology, Diabetes & Metabolism. doi:10.1002/edm2.240
  • Zhou, J. , Wang, X. , Lee, S. , Wu, W.K.K. , Cheung, B.M.Y. , Zhang, Q. & Tse, G. (in press). Proton pump inhibitor or famotidine use and severe COVID-19 disease: a propensity score-matched territory-wide study. Gut. doi:10.1136/gutjnl-2020-323668
  • Jing, F. , Zhang, Q. , Tang, W. , Wang, Z. , Lau, J.T.F. & Li, X. (in press). Reconstructing the Social Network of HIV Key Populations from Locally Observed Information. AIDS Care. doi:10.1080/09540121.2021.1883514
  • Tse, G. , Zhou, J. , Lee, S. , Wong, W.T. , Li, X. , Liu, T. , Cao, Z. , Zeng, D.D. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. & Zhang, Q. (in press). Relationship between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and COVID-19 incidence or severe disease. Journal of Hypertension.
  • Xu, Z. , Yang, J. , Zhang, Q. & Yip, S.F.P. (in press). Risk of Suicide after A Self-poisoning Episode: A Self-Controlled Case Series Study. Social Psychiatry and Psychiatric Epidemiology.
  • Wang, H. , Zhang, Q. , Chen, F.Y. , Leung, E.Y.M. , Wong, E.L.Y. & Yeoh, E.K. (in press). Tensor Factorization-based Prediction with an Application to Estimate the Risk of Chronic Diseases. IEEE Intelligent Systems. doi:10.1109/MIS.2021.3071018
  • Guo, M. , Zhang, Q. , Liao, X. , Chen, F.Y.H. & Zeng, D. (2021). A hybrid machine learning framework for analyzing human decision making through learning preferences. Omega. 101. 102263 doi:10.1016/j.omega.2020.102263
  • Tse, G. , Lee, S. , Li, A. , Chang, D. , Li, G. , Zhou, J. , Liu, T. & Zhang, Q. (2021). Automated electrocardiogram analysis identifies novel predictors of ventricular arrhythmias in Brugada syndrome. Frontiers in Cardiovascular Medicine. 7. 618254 doi:10.3389/fcvm.2020.618254
  • Li, M. , Sun, X. , Liang, G. , Shen, Y. , Zhang, Q. & Feng, Y. (2021). Bayesian heterogeneous assembly time modeling for robotic performance prediction. Journal of Advanced Mechanical Design, Systems, and Manufacturing. 15/1. JAMDSM0007 doi:10.1299/jamdsm.2021jamdsm0007
  • He, C. , Wu, J. & Zhang, Q. (2021). Characterizing Research Leadership on Geographically Weighted Collaboration Network. Scientometrics. 126. 4005 - 4037. doi:10.1007/s11192-021-03943-w
  • Wong, E.L.Y. , Ho, K.F. , Dong, D. , Cheung, A.W.L. , Yau, P.S.Y. , Chan, E.Y.Y. , Yeoh, E.K. , Chien, W.T. , Chen, Y.F. , Poon, S. , Zhang, Q. & Wong, S.Y.S. (2021). Compliance with Standard Precautions and Its Relationship with Views on Infection Control and Prevention Policy among Healthcare Workers during COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 18/7. 3420 doi:10.3390/ijerph18073420
  • Li, Z. , Wang, X. , Li, J. & Zhang, Q. (2021). Deep attributed network representation learning of complex coupling and interaction. Knowledge-Based Systems. 212. 106618 doi:10.1016/j.knosys.2020.106618
  • Zhou, J. , Lee, S. , Liu, Y. , Liu, T. , Cao, Z. , Zeng, D.D. , Leung, K.S.K. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. , Zhang, Q. & Tse, G. (2021). Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. npj Digital Medicine. 4. 66 doi:10.1038/s41746-021-00433-4
  • Young, S.D. , Zhang, Q. , Zhou, J. & Pacula, R.L. (2021). Internet Search and Medicaid Prescription Drug Data as Predictors of Opioid Emergency Department Visits. npj Digital Medicine. 4. 21 doi:10.1038/s41746-021-00392-w
  • Bazoukis, G. , Stavrakis, S. , Zhou, J. , Bollepalli, S.C. , Tse, G. , Zhang, Q. , Singh, J.P. & Armoundas, A.A. (2021). Machine learning versus conventional clinical methods in guiding management of heart failure patients—a systematic review. Heart Failure Reviews. 26. 23 - 34. doi:10.1007/s10741-020-10007-3
  • Ye, Y. , Zhang, Q. , Cao, Z. & Zeng, D.D. (2021). Optimal vaccination program for two infectious diseases with cross immunity spreading on a network. EPL (Europhysics Letters). 133/4. 46001 - (featured as Editor's Pick) doi:10.1209/0295-5075/133/46001
  • Zheng, X. , Wang, X. , Li, Z. , Jing, R. , Xu, S. , Wang, T. , Li, L. , Zhang, Z. , Zhang, Q. , Jiang, H. , Guo, Z. , Zhang, X. & Wang, F.Y. (2021). Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era. IEEE Transactions on Computational Social Systems. 8/2. 279 - 293. doi:10.1109/TCSS.2021.3063167
  • Tse, G. , Lee, S. , Zhou, J. , Liu, T. , Wong, I.C.K. , Mak, C. , Mok, N.S. , Mok, N.S. , Jeevaratnam, K. , Zhang, Q. , Cheng, S.H. & Wong, J. (2021). Territory-wide Chinese cohort of congenital long QT syndrome: random survival forest and Cox analyses. Frontiers in Cardiovascular Medicine. 8. 608592 doi:10.3389/fcvm.2021.608592
  • Lee, S. , Zhou, J. , Li, K. , Leung, K. , Lakhani, I. , Liu, T. , Wong, I.C.K. , Mok, N.S. , Mak, C. , Jeevaratnam, K. , Zhang, Q. & Tse, G. (2021). Territory-wide cohort study of Brugada syndrome in Hong Kong: predictors of long-term outcomes using random survival forests and non-negative matrix factorization. Open Heart. 8/1. e001505 doi:10.1136/openhrt-2020-001505
  • Wang, Y. , Cao, Z. , Zeng, D.D. , Zhang, Q. & Luo, T. (2021). The collective wisdom in the COVID-19 research: comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles. International Journal of Infectious Diseases. 104. 1 - 6. doi:10.1016/j.ijid.2020.12.040
  • Yang, J. , Zhang, Q. , Cao, Z. , Gao, J. , Pfeiffer, D. , Zhong, L. & Zeng, D.D. (2021). The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City. Chaos. 31/2. 021101 - (fast track; featured as Editor's Pick). doi:10.1063/5.0040560
  • Xu, Z. , Yang, J. , Lau, K.K. , Yip, S.F.P. , Wong, I.C.K. & Zhang, Q. (Nov 2020). Understanding the association between antidepressants and the risk of being diagnosed with dementia in older people: a self-controlled case series study. Journal of Alzheimer's Disease. 78/2. 735 - 744. doi:10.3233/JAD-200875
  • Ye, Y. , Zhang, Q. , Ruan, Z. , Cao, Z. , Xuan, Q. & Zeng, D.D. (Oct 2020). Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission. Physical Review E. 102. 042314 doi:10.1103/PhysRevE.102.042314
  • Wang, Y. , Zhang, Q. & Yang, X. (joint first author). (Jun 2020). Evolution of the Chinese Guarantee Network under Financial Crisis and Stimulus Program. Nature Communications. 11. 2693 doi:10.1038/s41467-020-16535-8
  • Tse, G. , Lee, S. , Jiang, X. , Chang, D. , Gu, Y. , Huang, Z. , Li, X. , Wang, Q. , Zeng, S. , Li, G. , Hu, D. , Zhou, J. , Zhang, Q. , Yan, G. , Xia, Y. , Liu, F.Z. & Liu, T. (2020). An Open Invitation to Join the International Brugada Electrocardiographic Indices Registry. Cardiovascular Innovations and Applications. 4/3. 217 - 221. doi:10.15212/CVIA.2019.0568
  • Li, C.K.H. , Xu, Z. , Ho, J. , Lakhani, I. , Liu, Y. , Bazoukis, G. , Liu, T. , Wong, W.T. , Cheng, S.H. , Chan, M.T.V. , Zhang, L. , Gin, T. , Wong, M.C.S. , Wong, I. , Wu, W.K.K. , Zhang, Q. & Tse, G. (2020). Association of NPAC score with survival after acute myocardial infarction. Atherosclerosis. 301. 30 - 36. doi:10.1016/j.atherosclerosis.2020.03.004
  • Li, L. , Zhang, Q. , Wang, X. , Wang, T. , Wang, T. , Guo, T.L. , Duan, W. , Tsoi, K.K.F. & Wang, F.Y. (2020). Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo. IEEE Transactions on Computational Social Systems. 7/2. 556 - 562. doi:10.1109/TCSS.2020.2980007
  • Guo, M. , Liao, X. , Liu, J. & Zhang, Q. (2020). Consumer Preference Analysis: A Data-driven Multiple Criteria Approach Integrating Online Information. Omega. 96. 102074 doi:10.1016/j.omega.2019.05.010
  • Li, L. , Wang, Z. , Zhang, Q. & Wen, H. (2020). Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters. Information Processing & Management. 53/6. 102313 doi:10.1016/j.ipm.2020.102313
  • Zhou, J. , Zhang, Q. & Li, X. (2020). Fuzzy Factorization Machine. Information Sciences. 546. 1135 - 1147. doi:10.1016/j.ins.2020.09.067
  • Tse, G. , Zhou, J. , Li, S. , Liu, T. , Bazoukis, G. , Mililis, P. , Wong, I.C.K. , Chen, C. , Xia, Y. , Kamakura, T. , Aiba, T. , Kusano, K. , Zhang, Q. & Letsas, K.P. (2020). Incorporating latent features of electrocardiographic depolarization-repolarization indices by nonnegative matrix factorization improves risk stratification in Brugada syndrome. Journal of the American Heart Association. 9. e012714 doi:10.1161/JAHA.119.012714
  • Tse, G. , Zhou, J. , Woo, S.W. , Ko, C.H. , Lai, W.R.C. , Liu, T. , Liu, Y. , Leung, K.S.K. , Li, A. , Li, S. , Li, K.H.C. , Lakhani, I. & Zhang, Q. (2020). Multi-modality machine-learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45%. ESC Heart Failure. 7/6. 3716 - 3725. doi:10.1002/ehf2.12929
  • Tse, G. , Zhou, J. , Lee, S. , Liu, Y. , Leung, K.S.K. , Lai, R.W.C. , Burtman, A. , Wilson, C. , Liu, T. , Li, K.H.C. , Lakhani, I. & Zhang, Q. (2020). Multi‐parametric system for risk stratification in mitral regurgitation: a multi‐task Gaussian prediction approach. European Journal of Clinical Investigation. 50/11. e13321 doi:10.1111/eci.13321
  • Li, S. , Li, C. , Zhou, J. , Leung, K.S.K. , Lai, R.W. , Li, G. , Liu, T. , Letsas, K. , Mok, N.S. , Zhang, Q. & Tse, G. (2020). Outcomes in Brugada syndrome patients with implantable cardioverter-defibrillators: insights from the SGLT2 registry. Frontiers in Physiology. 11. 204 doi:10.3389/fphys.2020.00204
  • Luo, H. , Lau, K.K. , Wong, G. , Chan, W.C. , Mak, H.K.F. , Zhang, Q. , Knapp, M. & Wong, I.C.K. (2020). Predicting dementia diagnosis from cognitive footprints in electronic health records: a case–control study protocol. BMJ Open. 10/11. e043487 doi:10.1136/bmjopen-2020-043487
  • Xu, Z. , Zhang, Q. & Yip, S.F.P. (2020). Predicting Post-discharge Self-harm Incidents using Disease Comorbidity Network: A Retrospective Machine Learning Study. Journal of Affective Disorders. 277. 402 - 409. doi:10.1016/j.jad.2020.08.044
  • Tse, G. , Lakhani, I.R. , Zhou, J. , Ka, H.C. , Lee, S. , Liu, Y. , Leung, K.S. , Liu, T. , Baranchuk, A. & Zhang, Q. (2020). P-wave area predicts new onset atrial fibrillation in mitral stenosis: A machine learning approach. Frontiers in Bioengineering and Biotechnology. 8. 479 doi:10.3389/fbioe.2020.00479
  • He, C. , Wu, J. & Zhang, Q. (2020). Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations. Journal of the Association for Information Science and Technology. 71/11. 1341 - 1356. doi:10.1002/asi.24331
  • Lee, S. , Zhou, J. , Liu, T. , Letsas, K. , Hothi, S. , Vassiliou, V. , Li, G. , Baranchuk, A. , Chang, D. , Zhang, Q. & Tse, G. (2020). Temporal variability in electrocardiographic indices in subjects with Brugada patterns. Frontiers in Physiology. 11. 953 doi:10.3389/fphys.2020.00953
  • Ruan, Z. , Yu, B. , Shu, X. , Zhang, Q. & Xuan, Q. (2020). The impact of malicious nodes on the spreading of false information. Chaos. 30/8. 083101 doi:10.1063/5.0005105
  • Huang, R. , Luo, G. , Duan, Q. , Zhang, L. , Zhang, Q. , Tang, W. , Smith, M.K. , Li, J. & Zou, H. (2020). Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model. BMJ Open. 10. e036098 doi:10.1136/ bmjopen-2019-036098
  • Cao, Z. , Zeng, D. , Zhang, Q. & Wang, Y. (2020). 新冠肺炎疫情的复杂性特征与分析研判. 中国科学基金. 34/6. 675 - 682. doi:10.16262/j.cnki.1000-8217.2020.06.004
  • Chai, Y. , Luo, H. , Zhang, Q. , Cheng, Q. , Lui, C.S.M. & Yip, S.F.P. (May 2019). Developing an Early Warning System of Suicide Using Google Trends and Media Reporting. Journal of Affective Disorders. 255/1. 41 - 49. doi:10.1016/j.jad.2019.05.030
  • Lin, S. , Zhang, Q. , Chen, F.Y.H. , Luo, L. , Chen, L. & Zhang, W. (Apr 2019). Smooth Bayesian Network Model for the Prediction of Future High-cost Patients with COPD. International Journal of Medical Informatics. 126. 147 - 155. doi:10.1016/j.ijmedinf.2019.03.017
  • Wong, ZSY. , Zhou, J. & Zhang, Q. (Jan 2019). Artificial Intelligence for infectious disease Big Data Analytics. Infection, Disease & Health. 24. 44 - 48. doi:10.1016/j.idh.2018.10.002
  • Xu, Z. , Zhang, Q. , Chen, D. & He, Y. (2019). Characterizing the Connectivity of Railway Networks. IEEE Transactions on Intelligent Transportation Systems. 21/4. 1491 - 1502. doi:10.1109/TITS.2019.2909120
  • Xu, Q. , Wang, X. , Li, J. , Zhang, Q. & Chai, L. (2019). Distributed Subgraph Matching on Big Knowledge Graphs Using Pregel. IEEE Access. 7. 116453 - 116464. doi:10.1109/ACCESS.2019.2936465
  • Chen, J. , Zhang, J. , Xu, X. , Fu, C. , Zhang, D. , Zhang, Q. & Xuan, Q. (2019). E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems. doi:10.1109/TSMC.2019.2932913
  • Xu, Z. , Zhang, Q. , Li, W. , Li, M. & Yip, S.F.P. (2019). Individualized Prediction of Depressive Disorder in the Elderly: A Multitask Deep Learning Approach. International Journal of Medical Informatics. 132. 103973 doi:10.1016/j.ijmedinf.2019.103973
  • Zhang, Q. , Zhong, L. , Gao, S. & Li, X. (Dec 2018). Optimizing HIV Interventions for Multiplex Social Networks Via Partition-Based Random Search. IEEE Transactions on Cybernetics. 48/12. 3411 - 3419. doi:10.1109/TCYB.2018.2853611
  • Zhang, Q. , DiFranzo, D. , Gloria, M.J.K. , Makni, B. & Hendler, J.A. (2018). Analyzing the Flow of Trust in the Virtual World with Semantic Web Technologies. IEEE Transactions on Computational Social Systems. 5/3. 807 - 815. doi:10.1109/TCSS.2018.2862897
  • Li, L. , Zhang, Q. , Tian, J. & Wang, H. (2018). Characterizing Information Propagation Patterns in Emergencies: A Case Study with Yiliang Earthquake. International Journal of Information Management. 38/1. 34 - 41. doi:10.1016/j.ijinfomgt.2017.08.008
  • Li, Y. , Guo, H. , Zhang, Q. , Gu, M. & Yang, J. (2018). Imbalanced text sentiment classification using universal and domain-specific knowledge. Knowledge-Based Systems. 160. 1 - 15. doi:10.1016/j.knosys.2018.06.019
  • Zhou, J. , Zhang, Q. , Zeng, D. & Tsui, K.-L. (2018). Influence of Flavors on the Propagation of Electronic Cigarettes Related Information: A Social Media Study. JMIR Public Health and Surveillance. 4/1. e27 doi:10.2196/publichealth.7998
  • Dong, R. , Li, L. , Zhang, Q. & Cai, G. (2018). Information Spread on Social Media During Natural Disasters. IEEE Transactions on Computational Social Systems. 5/1. 265 - 276. doi:10.1109/TCSS.2017.2786545
  • Zhong, L. , Zhang, Q. & Li, X. (2018). Modeling the Intervention of HIV Transmission across Intertwined Key Populations. Scientific Reports. 8. 2432 doi:10.1038/s41598-018-20864-6
  • Wang, H. , Zhang, Q. , Ip, M. & Lau, J. T. F. (2018). Social Media-based Conversational Agents for Health Management and Interventions. IEEE Computer. 51/8. 26 - 33. doi:10.1109/MC.2018.3191249
  • Wang, H. , Zhang, Q. , So, H.-Y. , Kwok, A. & Wong, S.-Y. (2018). Temporal Prediction of In-Hospital Falls using Tensor Factorization. BMJ Innovations. 4/2. 75 - 83. doi:10.1136/bmjinnov-2017-000221
  • Yang, D. , Chow, T.W.S. , Zhong, L. & Zhang, Q. (2018). The competitive information spreading over multiplex social networks. Physica A: Statistical Mechanics and its Applications. 503. 981 - 990. doi:10.1016/j.physa.2018.08.096
  • Yang, D. , Chow, T.W.S. , Zhong, L. , Tian, Z. , Zhang, Q. & Chen, G. (2018). True and fake information spreading over the Facebook. Physica A: Statistical Mechanics and its Applications. 505. 984 - 994. doi:10.1016/j.physa.2018.04.026
  • Zhang, Q. , Chai, Y. (joint first author). , Li, X. , Young, S. & Zhou, J. (2018). Using internet search data to predict new HIV diagnoses in China: A modelling study. BMJ Open. 8/10. e018335 doi:10.1136/bmjopen-2017-018335
  • Young, S. D. & Zhang, Q. (2018). Using search engine big data for predicting new HIV diagnoses. PLoS ONE. 13/7. e0199527 doi:10.1371/journal.pone.0199527
  • Nakatsuji, M. , Zhang, Q. , Lu, X. , Makni, B. & Hendler, J. (Dec 2017). Semantic Social Network Analysis by Cross-domain Tensor Factorization. IEEE Transactions on Computational Social Systems. 4/4. 207 - 217. doi:10.1109/TCSS.2017.2732685
  • Li, M. , Meng, H. & Zhang, Q. (2017). A nonparametric Bayesian modeling approach for heterogeneous lifetime data with covariates. Reliability Engineering & System Safety. 167. 95 - 104. doi:10.1016/j.ress.2017.05.029
  • Xu, Q. , Gel, Y. , Ramirez, L. , Nezafati, K. , Zhang, Q. & Tsui, K-L. (2017). Forecasting influenza in Hong Kong with Google search queries and statistical model fusion. PLoS ONE. 12/5. e0176690 doi:10.1371/journal.pone.0176690
  • Wang, H. , Zhang, Q. & Yuan, J. (2017). Semantically Enhanced Medical Information Retrieval System: A Tensor Factorization Based Approach. IEEE Access. 5. 7584 - 7593. doi:10.1109/ACCESS.2017.2698142
  • Zheng, X. , Chen, W. , Wang, P. , Shen, D. , Chen, S. , Wang, X. , Zhang, Q. & Yang, L. (2016). Big Data for Social Transportation. IEEE Transactions on Intelligent Transportation Systems. 17/3. 620 - 630. doi:10.1109/TITS.2015.2480157
  • Zhang, Q. , Zeng, D. , Wang, F.-Y. , Breiger, R. & Hendler, J.A. (2016). Brokers or Bridges? Exploring Structural Holes in a Crowdsourcing System. IEEE Computer. 49/6. 56 - 64. doi:10.1109/MC.2016.166
  • Wang, X. , Zheng, X. , Zhang, Q. , Wang, T. & Shen, D. (2016). Crowdsourcing in ITS: The State of the Work and the Networking. IEEE Transactions on Intelligent Transportation Systems. 17/6. 1596 - 1605. doi:10.1109/TITS.2015.2513086
  • Zhang, Q. & Haglin, D. (2016). Semantic Similarity between Ontologies at Different Scales. IEEE/CAA Journal of Automatica Sinica. 3/2. 132 - 140. doi:10.1109/JAS.2016.7451100
  • Xu, R. & Zhang, Q. (joint first author). (2016). Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives. Journal of Medical Internet Research. 18/3. e63 doi:10.2196/jmir.5042
  • Wang, F.-Y. , Zeng, D. , Zhang, Q. , Hendler, J. & Cao, J. (1 Sep 2014). The Chinese “Human Flesh” Web: the first decade and beyond. Chinese Science Bulletin. 59/26. 3352 - 3361. doi:10.1007/s11434-014-0480-6
  • Wang, T. , Liu, Z. , Xiu, B. , Mo, H. & Zhang, Q. (2014). Characterizing the Evolution of Social Computing Research. IEEE Intelligent Systems. 29 (5). 48 - 56. doi:10.1109/MIS.2013.121
  • Zhang, Q. , Zeng, D. , Wang, F.-Y. & Wang, T. (21 Jun 2012). Understanding Crowd-Powered Search Groups: A Social Network Perspective. PLoS ONE. 7(6). e39749 doi:10.1371/journal.pone.0039749
  • Lai, G. , Zhang, Q. , Wen, D. , Gao, Y. , Feng, Z. , Ke, G. & Lu, H. (2012). A Prototype of the Next Generation Journal System for ITS: Academic Social Networking and Media Based on Web 3.0. IEEE Transactions on Intelligent Transportation Systems. 13(2). 1078 - 1087. doi:10.1109/TITS.2012.2195313
  • Wang, T. , Zhang, Q. , Liu, Z. , Liu, W. & Wen, D. (2012). On Social Computing Research Collaboration Patterns: A Social Network Perspective. Frontiers of Computer Science. 6(1). 122 - 130. doi:10.1007/s11704-011-1173-9
  • Zheng, X. , Zhong, Y. , Wang, F.-Y. , Zeng, D. , Zhang, Q. & Cui, K. (2011). 基于网络信息的社会动力学研究. 复杂系统与复杂性科学. 8(3). 1 - 12.
  • Zhang, Q. , Feng, Z. , Li, X. , Zheng, X. & Zhang, L. (2010). 25 Years’ Collaborations at IEEE Intelligent Systems. IEEE Intelligent Systems. 25(6). 67 - 75. doi:10.1109/MIS.2010.136
  • Feng, Z. , Zhang, Q. , Li, X. , Ke, G. & Xiong, G. (2010). A Bibliographic Analysis of the IEEE Intelligent Systems. IEEE Intelligent Systems. 25(6). 59 - 66. doi:10.1109/MIS.2010.137
  • Wang, F.-Y. , Zeng, D. , Hendler, J. , Zhang, Q. , Feng, Z. , Gao, Y. , Wang, H. & Lai, G. (2010). A Study of Human Flesh Search Engine: Crowd-Powered Expansion of Online Knowledge. IEEE Computer. 43(8). 45 - 53 (as cover feature). doi:10.1109/MC.2010.216

Conference Paper

  • Leung, K.S.K., Zhou, J., Lee, S., Lakhani, I., Liu, T., Tse, G. (2021). Associations of triglyceride level and variabilities with lung-related infections, cancer and mortality outcomes: a territory-wide cohort study. British Cardiovascular Society Annual Conference. Manchester. U.K.: .
  • Lee, S., Zhou, J., Li, K.H.C., Leung, K.S.K., Lakhani, I., Liu, T., Wong, I.C.K., Mok, N.S., Jeevaratnam, K., Zhang, Q., Tse, G. (2021). Brugada syndrome in Hong Kong: long term outcome prediction through machine learning. European Heart Rhythm Association Congress 2021.
  • Lee, S., Zhou, J., Zhang, Q., Tse, G. (2021). Comparing dipeptidyl peptidase-4 inhibitors and sodium-glucose cotransporter-2 inhibitors on new-onset heart failure and myocardial infarction. British Cardiovascular Society Annual Conference. Manchester. U.K.: .
  • Kong, D., Zhou, J., Lee, S., Leung, K.S.K., Liu, T., Sawant, A.C., Corbelli, J., Wai, A.K.C., Chang, C., Zhang, Q. (2021). Edoxaban versus warfarin on stroke risk in patients with atrial fibrillation: a territory-wide cohort study. British Cardiovascular Society Annual Conference. Manchester. U.K.: .
  • Chen, Y., Zhou, J., Lee, S., Liu, T., Wu, W., Hothi, S., Zhang, Q., Tse, G., Wang, Y. (2021). Electronic frailty index for predicting mortality outcome of patients undergoing transaortic valvular implantation. ESC Acute CardioVascular Care Congress 2021 (published in European Heart Journal Acute Cardiovascular Care). 10/1. (pp. zuab020.211 doi:10.1093/ehjacc/zuab020.211
  • Lee, S., Zhou, J., Guo, C.L., Wu, W.K.K., Wong, W.T., Liu, T., Wong, I.C.K., Jeevaratnam, K., Zhang, Q., Tse, G. (2021). Risk stratification score for acute myocardial infarction and sudden cardiac death in type 2 diabetes mellitus. ESC European Association of Preventive Cardiology Congress 2021.
  • Yu, S. , Zheng, J. , Chen, J. , Xuan, Q. & Zhang, Q. (Jul 2020). Unsupervised Euclidean Distance Attack on Network Embedding. The 5th IEEE International Conference on Data Science in Cyberspace (IEEE DSC). Hong Kong. China: IEEE.
  • Lee, S., Liu, T., Zhou, J., Zhang, Q., Wong, W.T., Tse, G. (2020). HbA1c Variability to Predict Diabetic Complications and Mortality: a 10-year Single-Center Cohort Study. Great Wall International Congress of Cardiology 2020/Asian Heart Society Congress 2020 (Awarded First Prize for English Speaking Competition to S. Lee). Beijing. China: .
  • Lee, S., Zhou, J., Guo, C.L., Wu, K.K.W., Wong, W.T., Liu, T., Wong, I.C.K., Jeevaratnam, K., Zhang, Q., Tse, G. (2020). Risk stratification of cardiac arrhythmias and sudden cardiac death in type 2 diabetic patients receiving insulin therapy: a territory-wide observational cohort study. Asia Pacific Heart Rhythm Society Virtual Congress 2020.
  • Xu, Z. , Zhang, J. , Zhang, Q. & Yip, S.F.P. (2019). Explainable Learning for Disease Risk Prediction Based on Comorbidity Networks. 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019). Bari. Italy: IEEE.
  • Tse, G. , LI, K.H.C. , Zhou, J. , Mililis, P. , Asvestas, D. , Leung, K.S.K. , Bazoukis, G. , Chan, C.P. , Chan, Y.S. , Ho, J. , Liu, T. , Zhang, Q. & Letsas, K.P. (2019). Novel electrocardiographic indices of cumulative depolarization-repolarization abnormalities predict inducible ventricular arrhythmias in Brugada syndrome. ESC Asia with APSC & AFC 2019. Singapore.
  • Li, Z. , Wang, X. , Li, J. & Zhang, Q. (2019). Structural Role Enhanced Attributed Network Embedding. 20th International Conference on Web Information Systems Engineering (WISE 2019). Hong Kong. China: ACM.
  • Li, K.H. , Ho, J. , Xu, Z. , Lakhani,, I. , Bazoukis, G. , Liu, T. , Wong, W.T. , Cheng, S.H. , Chan, M.T.V. , Gin, T. , Wong, M.C.S. , Wong, I. , Wu, W.K.K. , Zhang, Q. & Tse, G. (2019). The NPAC score for predicting survival after incident acute myocardial infarction. ESC Congress 2019 together with World Congress of Cardiology (published in European Heart Journal as supplement). 40/1. (pp. P5014 Paris. France: European Society of Cardiology. doi:10.1093/eurheartj/ehz746.0192
  • Wang, H. & Zhang, Q. (2017). Semantic Expansion Network based Relevance Analysis for Medical Information Retrieval. International Conference for Smart Health. Hong Kong.
  • Xu, R. & Zhang, Q. (Jan 2016). Social Dynamics of the Online Health Communities for Mental Health. International Conference of Smart Health. 9545. (pp. 267 - 277). Phoenix. USA: doi:10.1007/978-3-319-29175-8_25
  • Huang, J. , Zhang, Q. , Li, L. , Yang, Y. , Chiaradia, AJF. , Pryor, M.R. & Webster, C.J. (2016). Pleasant Urban Experiences: ReExamining Place-Making Theories Using Social Media Data in High-Density Cities. the 52nd International Society of City and Regional Planners (ISOCARP) Congress. Durban. South Africa: ISOCARP.
  • Halcrow, C. & Zhang, Q. (Jun 2015). A values and psychological attribute approach to the analysis of the Scottish Independence Referendum context in Twitter. ACM Web Science Conference (WebSci'15). Oxford. UK: University of Oxford.
  • Zhang, Q. , Makni, B. & Hendler, J. (Aug 2014). The Twitter Observatory: Exploring Social and Semantic Relationships in Social Media. 8th Chinese Semantic Web & Web Science Conference (CSWS 2014). Wuhan. China: WHU.
  • Zeng, K. , Wang, X. , Zhang, Q. , Zhang, X. & Wang, F.-Y. (Jul 2014). Behavior Modeling of Internet Water Army in Online Forums. The 19th World Congress of the International Federation of Automatic Control (IFAC 2014). (pp. 9858 - 9863). Cape Town. South Africa: IFAC.
  • Gloria, M.J.K. , McGuinness, D.L. , Luciano, J.S. & Zhang, Q. (2013). Exploration in Web Science: Instruments for Web Observatories. 1st International Web Observatory Workshop (WOW'13, in conjunction with WWW'13). Rio de Janeiro. Brazil: IW3C2.
  • Dominic, D. , Zhang, Q. , Gloria, M.J.K. & Hendler, J. (2013). Large Scale Social Network Analyss Using Semantic Web Technologies. Semantics for Big Data (S4BD), AAAI 2013 Fall Symposium. Arlington, VA. USA: AAAI.
  • Wang, T. , Zhang, Q. , Fu, J. , Wang, X. & Zheng, S. (2013). What is the Difference of Human Flesh Search Dissemination?. Pacific AsiaWorkshop on Intelligence and Security Informatics, (PAISI’13, in conjunction IJCAI’13). Beijing. China: IJCAI.
  • Gloria, M.J.K. , Bazan, S. & Zhang, Q. (2013). When Freedom Goes Global: Are We All Equally Safe On Social Media?. ACM Web Science 2013 (WebSci’13). Paris. France: ACM.
  • Zhang, Q. , Feng, Z. , Zeng, D. & Wang, F.-Y. (2010). Modeling Cyber-Enabled Crowd-Powered Search. The Second China National Conference on Social Computing (NCSC'10). Beijing. China: CAA and ACM.

Book Chapter

  • Yu, S. , Zheng, J. , Wang, Y. , Chen, J. , Xuan, Q. & Zhang, Q. (2021). Network Embedding Attack: An Euclidean Distance Based Method. MDATA: A New Knowledge Representation Model: Theory, Methods and Applications. Springer. 978-3-030-71589-2. doi:10.1007/978-3-030-71590-8_8
  • Xu, R. , Zhou, J. , Zhang, Q. & Hendler, J. (2017). Research on Online Health Communities, A Systematic Review. Encyclopedia of Social Network Analysis and Mining (2nd edition). Springer.
  • Zhang, Q. , DiFranzo, D. & Hendler, J. (2017). Social Networking on the World Wide Web (2nd edition). Encyclopedia of Social Network Analysis and Mining (2nd edition).
  • Cao, J. , Duan, D. , Yang, L. , Zhang, Q. , Wang, S. & Wang, F.-Y. (2016). Social influence analysis in the big data era - A review. Big Data over Networks. Cambridge University Press. 9781107099005. doi:10.1017/CBO9781316162750.012
  • Ma, ZS. , Zhang, C. , Zhang, Q. , Li, J. , Qi, L. & Yang, X. (2016). A Brief Review on the Ecological Network Analysis with Applications in the Emerging Medical Ecology. Hydrocarbon and Lipid Microbiology Protocols. Springer. doi:10.1007/8623_2016_204
  • Xu, D. , Meng, C. , Zhang, Q. , Bhardwaj, P. & Son, Y.-J. (2014). A Hybrid Simulation-based Duopoly Game Framework for Analysis of Supply Chain and Marketing Activities. Applications of Multi-Criteria and Game Theory Approaches. (pp. 227 - 261). Springer. 978-1-4471-5294-1.
  • Zhang, Q. , Dominic, D. & Hendler, J. (2014). Social Networking on the World Wide Web. Encyclopedia of Social Network Analysis and Mining. (pp. 1879 - 1892). New York. Springer. 978-1-4614-6169-2. doi:10.1007/978-1-4614-6170-8_104


Research students

  • A list of current PhD students
  • Mr. Kaichen Tang (M.S. 2019-2020, The University of Texas Health Science Center at Houston)
  • Mr. Zhe Yuan (M.S. 2019-2020, Huawei)
  • Dr. Zhongzhi Xu (Ph.D. 2017-2020, The University of Hong Kong)
  • Dr. Lu Zhong (Ph.D. 2015-2019, Rensselaer Polytechnic Institute)
  • Mr. Chenhan Zhang (M.S. 2018-2019, Southern University of Science and Technology, University of Technology Sydney)
  • Dr. Jiaqi Zhou (Ph.D. 2015-2018, Alibaba)
  • Dr. Haolin Wang (Ph.D. Jointly supervised with Chinese Academy of Sciences 2015-2018, Chongqing Medical University)
  • Dr. Lifang Li (Ph.D. jointly supervised with Xi'an Jiaotong University 2015-2018, South China University of Technology)
  • Dr. Yingli Wang (Ph.D. jointly-supervised with Chinese Academy of Sciences 2016-2018, Chinese Academy of Sciences)
  • Ms. Yi Chai (M.S. 2016-2017, RA 2017-2018, The University of Hong Kong)
  • Dr. Ronghua Xu (Ph.D. 2014-2017, Zhejiang University of Technology)
  • Ms. Manqing Dong (M.S. 2015-2016, The University of New South Wales)


Media coverage



Open positions

  • I am looking for highly motivated Ph.D. students to do research on medical informatics and complex networks. Interested candidates please send your CV, transcripts, and publications (if any) to me for consideration.


Last update date : 09 May 2021