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Publications

2022

  1. Yuan, P, Tan, Y., Yang, L., Aruffo, E., Ogden, N.H., Bélair, J., Heffernan, J., Arino, J., Watmough, J., Carabin, H., Zhu, H., 2022b. Modelling vaccination and control strategies of outbreaks of monkeypox at gatherings. medRxiv 2022.08.12.22278724; doi: https://doi.org/10.1101/2022.08.12.22278724
  2. Yuan, P, Tan, Y., Yang, L., Aruffo, E., Ogden, N.H., Bélair, J., Heffernan, J., Arino, J., Watmough, J., Carabin, H., Zhu, H., 2022a. Assessing transmission risks and control strategy for monkeypox as an emerging zoonosis in a metropolitan area. medRxiv 2022.06.28.22277038; doi: https://doi.org/10.1101/2022.06.28.22277038
  3. Zhou, H., Tang, B., Zhu, H., and Tang, S, 2022: Bifurcation and Dynamic Analyses of Non-monotonic Predator–Prey System with Constant Releasing Rate of Predators. Qual. Theory Dyn. Syst., Vol. 21(10). https://doi.org/10.1007/s12346-021-00539-w.
  4. Zhang, X., Song, Y., Tang, S., Xue, H., Chen, W., Qin, L., Jia, S., Shen, Y., Zhao, S., Zhu, H., 2022. Models to assess imported cases on the rebound of COVID-19 and design a long-term border control strategy in Heilongjiang Province, China. Mathematical Biosciences and Engineering, Vol. 19 (1), p. 1-33

2021

  1. Li, J., Jin, Z., Wang, Y., Sun, X., Xu, Q., Kang, J., Huang, B., and Zhu, H., 2021: Data-driven dynamical modeling of the transmission of African swine fever in a few places in China.  Transboundary and Emerging Diseases (2021). doi: 10.1111/tbed.14345.
  2. Yuan, P., Chen, L., You, M., and Zhu, H., 2021: Dynamics complexity of generalist predatory mite and the leafhopper pest in tea plantations. J Dyn Diff Equat., https://doi.org/10.1007/s10884-021-10079-1.        
  3. Shu, H., Fan, G., and Zhu, H., 2021: Global Hopf bifurcation and dynamics of a stage-structured model with delays for tick population. Journal of Differential Equations. Vol. 284, p. 1-22. https://doi.org/10.1016/j.jde.2021.02.037
  4. Xue L., Ren X., Magpantay, F., and Zhu, H., 2021: Optimal Control of Mitigation Strategies for Dengue Virus Transmission. Bull Math Biol., Vol. 83 (8). https://doi.org/10.1007/s11538-020-00839-3
  5. Chen, H., and Zhu, H., 2021: Global bifurcation studies of a cubic Liénard system. Journal of Mathematical Analysis and Applications, Vol. 496 (2), 124810
  6. Li, J., Ma, M., and Zhu, H., 2021: Modeling the Dynamics of the asymptomatic infection in spreading of COVID-19. submitted
  7. Yuan, P., Aruffo, E., Ogden, N., Gatov, E., Gournis, E., Collier S., Li, Q., Moyles, I., Bouchra, N., and Zhu, H., 2021: School and Community Reopening During the COVID-19 Pandemic: A Mathematical Modeling Study. MedRxiv. doi: https://doi.org/10.1101/2021.01.13.21249753
  8. Aruffo, E., Yuan, P., Tan, Y., Gatov, E., Gournis, E., Collier S., Ogden, N., Bélair, J., and Zhu, H., 2021: Community structured model for vaccine strategies to control COVID19 spread: a mathematical study. MedRxiv. doi: https://doi.org/10.1101/2021.01.25.21250505
  9. Yuan, P., Aruffo, E., Li, Q., Li, J., Tan, Y., Zheng, T., David, J., Ogden, N., Gatov, E., Gournis, E., Collier S., Sander, B., Fan, G., Heffernan, J., Li, J., Kong, J., Arino, J., Bélair, J., Watmough, J., and Zhu, H., 2021: Evaluating the risk of reopening the border: a case study of Ontario (Canada) to New York (USA) using mathematical modeling. Springer Nature Fields COVID-19 Seminar Proceedings. In press.
  10. David, J., Iyaniwura, S., Yuan, P., Tan, L., Kong, J., Zhu, H., 2021: Modeling the potential impact of indirect transmission on COVID-19 epidemic. MedRxiv. doi: https://doi.org/10.1101/2021.01.28.20181040
  11. Xue, L., Jing, S., Sun, W., Liu, M., Peng, Z., Zhu, H., 2021: Evaluating the impact of the travel ban within mainland China on the epidemic of the COVID-19. International Journal of Infectious Disease. Vol. 107, P. 278-283. https://doi.org/10.1016/j.ijid.2021.03.088

2020

  1. Zhu, H., Liu, J., Zhou, X., Chen, X., Qiu, X. Bello, R., Deng, Z. 2020. The Ontario Climate Data Portal, a user-friendly portal of Ontario-specific climate projections. Nature, Scientific Data, 7, 147 (2020).
  2. Yuan, P., Li, J., Aruffo, E., Li, Q. Zheng T., Ogden, N., Sander, b., Heffernan, J., Gatov, E., Gournis, E., Collier, S., Tan, Y., Li, J., Arino, J., Bélair, J., Watmough, J., Kong, J., Moyles, I., Zhu, H., 2020: Efficacy of “stay-at-home” policy and transmission of COVID-19 in Toronto, Canada: a mathematical modeling study. MedRxiv. https://doi.org/10.1101/2020.10.19.20181057
  3. Rong, X., Yang, L., Chu, H., Zhou, L., Chen, M., Fan, F., Zhu, H., 2020: The number of public healthcare personnel and the prevention and control of COVID-19. . Acta Mathematicae Applicatae Sinica (Chinese). Vol. 43(2); p. 335-349
  4. Ge, J., He, D., Lin, Z., Zhu, H., and Zhuang, Z., 2020: Four-tier response system and spatial propagation of COVID-19 in China by a network model. . Mathematical Biosciences. Vol. 330.
  5. Xue, L., Jing, J., Miller, J., Sun, W., Li, H., Estrada-Franco, J., Hyman, J., Zhu, H., 2020: A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy. Mathematical Biosciences. Vol. 326
  6. Li, J., Yuan, P., Heffernan, J., Zheng, T., Ogden, N., Sander, B., Li, J., Li, Q., Bélair, J., Kong, J., Aruffo, E., Tan, Y., Jin, Z., Yu, Y., Fan, M., Cui, J., Teng Z., and Zhu, H., 2020: Fangcang shelter hospitals during the COVID-19 epidemic, Wuhan, China. Bulletin of the World Health Organization, 98 (‎12)‎, p. 830 – 841D. 
  7. Li, J., Gao, L., Huang, B., Wang, Y., Jin, Z., Sun, X., Liu, P., Xu, Q., and Zhu, H., 2020: Assessment of regional vulnerability to Africa swine fever in China during 2018/8‐2019/7 based on data envelopment analysis method. Transbound Emerg Dis. 2020 00: p1–10.  https://doi.org/10.1111/tbed.13913
  8. Zhang, X., Liu, Q., and Zhu, H., 2020: Modeling and dynamics of Wolbachia-infected male releases and mating competition on mosquito control. J. Math. Biol. Vol. 81, p. 243–276. https://doi.org/10.1007/s00285-020-01509-7.
  9. Zhang, J., Li, Y., Yao, M., Zhang, J., Zhu, H., and Jin, Z., 2020: The intensity of quarantine of susceptibles and epidemic development of COVID-19 in Wuhan. Acta Mathematicae Applicatae Sinica (Chinese). Vol. 43 (2); p. 162-173. https://doi.org/10.1038/s41597-020-0489-4.
  10. Chen, J., Yang, H., Man, R., Wang, W., Sharma, M., Peng, C., Parton, J., Zhu, H., and Deng, Z., 2020:  Using machine learning to synthesize spatiotemporal data for modelling DBH-height and DBH-height-age relationships in boreal forests. Forest Ecology and Management. Vol. 466 (15), 118104
  11. Zhao, H., Wang, L., Oliva, S.M., and Zhu, H., 2020: Modeling and Dynamics Analysis of Zika Transmission with Limited Medical Resources. Bull Math Biol, Vol. 82, 99 https://doi.org/10.1007/s11538-020-00776-1
  12. Du, Z., Zhang, X. and Zhu, H., 2020: Dynamics of Nonconstant Steady States of the Sel’kov Model with Saturation Effect. J Nonlinear Sci., https://doi.org/10.1007/s00332-020-09617-w.

2019

  1. Chen, L., Yuan, P., Pozsgai, G., Chen, P., Zhu, H., and You, M., 2019: The impact of cover crops on the predatory mite Anystis baccarum (Acari, Anystidae) and the leafhopper pest Empoasca onukii (Hemiptera, Cicadellidae) in a tea plantation Pest Management Science. Vol. 75(12), p. 3371-3380
  2. Zhang, J., Li, D., Jing, W., Jin, Z., and Zhu, H., 2019: Transmission dynamics of a two-strain pairwise model with infection age. Applied Mathematical Modelling. Vol. 71, p. 656-672
  3. Zhang, J., Li, Y., Jin, Z., and Zhu, H., 2019: Dynamics analysis of an avian influenza A (H7N9) epidemic model with vaccination and seasonality Complexity. Vol. 2019
  4. Shan, C., Fan, G., and Zhu, H., 2019: Periodic phenomena and driving mechanisms in the transmission of West Nile virus with maturation time.  Journal of Dynamics and Differential Equations. 32, p. 1003–1026
  5. Ogden, N.H., Lindsay, L.R., Ludwig, A., Morse, A.P., Zheng, H., and Zhu, H., 2019: Weather-based forecasting of mosquito-borne disease outbreaks in Canada.  Canada Communicable Disease Report (CCDR). Vol. 45(5), p. 127-132
  6. Ji, X., Yuan, S., Zhang, T., and Zhu, H., 2019: Stochastic modeling of algal bloom dynamics with delayed nutrient recycling. Math. Biosci. Eng. Vol. 16, p. 1-24
  7. Qiu, Z., Shan, C., and Zhu, H., 2019: Monotone dynamics and global behaviors of a West Nile virus model with mosquito demographics. J. Math. Biol. 80, p.

2018

  1. Zhu, H., Deng, Z., Liu, J., Qiu, X., Chen, X., and Zhou, X., 2018: A Look at Ontario’s Climate of the Future with the Ontario Climate Data Portal (OCDP).  Bulletin of the Canadian Meteorological and Oceanographic Society (CMOS).
  2. Deng, Z., Liu, J., Qiu, X., Zhou, X., Babazadeh, H., Zhu, H., 2018: Projection of Temperature and Precipitation Related Climatic Design Data Using CMIP5 Multi-Model Ensemble.  Journal of Buildings and Sustainability,  Vol. 1 (1), p. 39-54
  3. Zhu, D., Ren, J., and Zhu, H., 2018: Spatial-temporal basic reproduction number and dynamics for a dengue disease diffusion model. Mathematical Methods in the Applied Sciences 41(7446)
  4. Rong, X., Fan, M., Sun, X., Wang, Y., and Zhu, H., 2018: Impact of disposing stray dogs on risk assessment and control of Echinococcosis in Inner Mongolia. Mathematical Biosciences Vol. 299, p.85–96
  5. Zhang, J., Cosner, C., and Zhu, H., 2018: Two-patch model for the spread of West Nile virus. Bull Math Biol. 80, p.840–863
  6. Yu, D., Madras, N., and Zhu, H., 2018: Temperature-driven population abundance model for Culex pipiens and Culex restuans (Diptera: Culicidae).  Journal of Theoretical Biology. Vol. 443, p. 28-38
  7. Wang, A., Xiao, Y., and Zhu, H., 2018: Dynamics of a Filippov epidemic model with limited hospital beds. Mathematical Biosciences & Engineering. 15(3), p. 739-764
  8. Li, X., Ren, J., Campbell, S., Wolkowicz, G., and Zhu, H., 2018: How seasonal forcing influences the complexity of a predator-prey system. Discrete & Continuous Dynamical Systems -B (DCDS-B). 23(2), p. 785-807
  9. Zhang, X., Shan, C., Jin, Z., and Zhu, H., 2019: Complex dynamics of epidemic models on adaptive networks. Journal of Differential Equations. Vol. 266(1), p. 803-832
  10. Chen, L., Yuan, P., You, M., Pozsgai, G., Ma, X., Zhu, H., and Yang, G., 2019: Cover crops enhance natural enemies while help suppressing pests in a tea plantation. Annals of the Entomological Society of America. Vol. 112(4), p. 348-355

2017

  1. Deng, Z., Liu, J., Qiu, X., Zhou, X., and Zhu, H., 2017: Downscaling RCP8.5 daily temperatures and precipitation in Ontario using localized ensemble optimal interpolation (EnOI) and bias correction. Clim Dyn Vol. 51, p. 411–431. https://doi.org/10.1007/s00382-017-3931-3
  2. Wang, Y., Pons, W., Fang, J., and Zhu, H., 2017: The impact of weather and stormwater management ponds on the transmission of West Nile virus. Royal Society Open Science, 4: 170017. http://dx.doi.org/10.1098/rsos.170017
  3. Wang, L., Zhao, H., Oliva, S., and Zhu. H., 2017: Modeling the transmission and control of Zika in Brazil. Scientific Reports 7, Article number: 7721, doi:10.1038/s41598-017-07264-y
  4. Lu, H., Song, H., and Zhu, H., 2017: A Series of Population Models for Hyphantria Cunea with Delay and Seasonality.  Mathematical Biosciences, Vol. 292, p. 57–66.
  5. Bao, W., Du, Y., Lin Z., and Zhu, H., 2017: Free boundary models for mosquito range movement driven by climate warming. Journal. Math. Biol. 76, p841–875
  6. Yuan, S., Ji X., and Zhu, H., 2017: Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations. Math. Biosciences and Engineering (MBE). Vol. 14, 5/6, p. 1477-1498
  7. Chen, M., Fan, M., Yuan X., and Zhu, H., 2017: Effect of seasonal changing temperature on the growth of phytoplankton.  Math. Biosciences and Engineering (MBE). Vol. 14, 5/6, p. 1091-1117
  8. Lin Z. and Zhu, H., Spatial spreading model and dynamics of West Nile virus in birds and mosquitoes with free boundary. J. Math. Biol. Vol. 75, p. 1381–1409
  9. Gao, X., Cao, Y., Ogden, N., Aubin, L., and Zhu, H., 2017: Mixture Markov regression model with application to mosquito surveillance data analysis. Biometrical Journal. 59(3)

2016

  1. Li, J., Song, Y., and Zhu, H., 2017: Dynamical analysis of a toxin-producing phytoplankton-zooplankton model with refuge. Mathematical Biosciences and Engineering,  Vol. 14 (2),  p. 529-557
  2. Li, M., Sun, G., Yakob, L., Zhu, H., Jin Z., and Zhang, W., 2016: The Driving Force for 2014 Dengue Outbreak in Guangdong, China. PLoS ONE 11(11): e0166211. doi:10.1371/journal.pone.0166211
  3. Qiu, Z., and Zhu, H., 2016: Complex Dynamics of a Nutrient-plankton system with nonlinear phytoplankton mortality and allelopathy. DCDS-B Vol. 21, no. 8. pp. 2703–2728
  4. Zhang, X., Tang, S., Cheke, R., and Zhu, H., 2016: Modeling the Effects of Augmentation Strategies on the Control of Dengue Fever With an Impulsive Differential Equation. Bull Math Biol. Vol. 78 (10), p. 1968–2010
  5. Shan, C., Yi, Y., and Zhu, H., 2016: Nilpotent Singularities and Dynamics in an SIR Type of Compartmental Model with Hospital Resources. Journal of Differential Equations 260 (2016) 4339–4365.
  6. Ge, J., Lin Z., and Zhu, H., 2016: Environmental risks in a diffusive SIS model incorporating use efficiency of medical resources. DCDS-B Vol. 21 (5), p. 1469-1481
  7. Ren, J., Yu L., and Zhu, H., 2016: Dynamic analysis of discrete-time, continuous-time and delayed feedback jerky equations. Nonlinear Dyn. Vol. 86, p. 107–130
  8. Ji, X., Yuan, S., and Zhu, H., 2016: Analysis of a stochastic model for algal bloom with nutrient recycling. Int. J. Biomathematics. Vol. 9 (6)
  9. Abdelrazec, A., Belair, J., Shan, C., and Zhu, H., 2016: Modeling the Spread and Control of Dengue with Limited Public Health Resources. Mathematical Biosciences 271, p. 136–145

2015

  1. Li, J., Zhao,Y., and Zhu, H., 2015: Bifurcation of an SIS model with nonlinear contact rate, Journal of Mathematical Analysis and Applications, Vol. 432 (2), p. 1119-1138
  2. Chen, M., Fan, M., and Zhu, H., 2015: The dynamics of temperature and light on the growth of phytoplankton. Journal of Theoretical Biology 385, p. 8–19
  3. Deng, Z., Qiu, X., Liu, J., Madras, N., Wang, X., and Zhu, H., 2015: Trend in frequency of extreme precipitation events over Ontario from ensembles of multiple GCMs.   Climate Dynamics. 46, p. 2909–2921
  4. Ge, J., Kim, K., Lin, Z., and Zhu, H., 2015: A SIS reaction-diffusion-advection model in a low-risk or high-risk domain. Journal of Differential Equations, Vol. 259 (10), p. 5486-5509
  5. Abdelrazec, A., Lenhart A., and Zhu, H., 2015: Dynamics and Optimal Control of a West Nile Virus Model with Seasonality. Canadian Applied Mathematics Quarterly, Vol. 23 (4), p. 12-33
  6. Rousseau, C., Shan, C., and Zhu, H., 2015: Finite cyclicity of some graphics through a nilpotent point of saddle type inside quadratic systems. Qualitative Theory of Dynamical Systems, Vol. 15 (1), p. 237–256
  7. Ding, C., Qiu, Z., and Zhu, H., 2015: Multi-host transmission dynamics of schistosomiasis and its optimal control. Mathematical Biosciences and Engineering. Mathematical Biosciences, Vol. 12 (5), p. 983-1006 

2014

  1. Fan, G., Thieme, H., and Zhu, H., 2014: Delay differential systems for tick population dynamics. Journal of Mathematical Biology, 71, p. 1017–1048 
  2. Wang, X., Wang, J., Russell, C., Proctor, P., Bello, R., Higuchi, K., and Zhu, H., 2014: Clustering of the abundance of West Nile virus vector mosquitoes in Peel Region, Ontario, Canada. Environmental and Ecological Statistics. 2014
  3. Shan, C., Zhou X., and Zhu, H., 2014: The Dynamics of Growing Islets and Transmission of Schistosomiasis Japonica in the Yangtze River. Bulletin of Mathematical Biology, Vol. 76, p. 1194–1217
  4. Shan C., and Zhu., H., 2014: Bifurcations and Complex Dynamics of an SIR Model with the Impact of the Number of Hospital Beds. Journal of Differential Equations, Vol. 257 (5), p. 1662-1688
  5. Li, C., Li, J., Ma, Z., and Zhu, H., 2014: Canard phenomenon for an SIS epidemic model with nonlinear incidence. Journal of Mathematical Analysis and Applications, Vol. 420 (2), p. 987-1004
  6. Jin, Z., Sun, G., and Zhu, H., 2014: Epidemic Models for Complex Networks with Demographics. Mathematical Biosciences and Engineering. Vol. 11 (6), p. 1295-1317
  7. Wan, H., Zhu, H., 2014: A new model with delay for mosquito population dynamics. Mathematical Biosciences and Engineering, Vol. 11 (6), p. 1395-1410
  8. Abdelrazec, A., Cao, Y., Gao, X., Proctor, P., Zheng, H., and Zhu, H., 2014: West Nile Virus Risk Assessment and Forecasting Using Statistical and Dynamical Models. In the book, “Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases”, Editors: Chen, Moulin, Wu. ISBN: 978-1-118-62993-2. WILEY.

2013

  1. Abdelrazec, A., Lenhart, S., and Zhu, H., 2013: Transmission Dynamics of West Nile Virus in Mosquitoes and Corvids and Non-Corvids. Journal of Mathematical Biology, Vol. 68(6), p. 1553-82
  2. Fan, G., Campbell, S.A., Wolkowicz, G., and Zhu, H., 2013: The Bifurcation Study of 1:2 Resonance in a Delayed System of Two Coupled Neurons. J. Dynam. Differential Equations, Vol. 25 (1), p. 193–216
  3. Li, C., and Zhu, H., 2013: Canard Cycles for Predator-Prey Systems with Holling Types of Functional Response. Journal of Differential Equations. Vol. 254,(2), P. 879–910.
  4. Fu, Y.,Wang, H. and Wong, A., 2013: Small sample inference for the correlation in bivariate normal with known variances. Far East Journal of Theoretical Statistics, Vol. 45(2), p. 147-164
  5. Fu, Y.,Wang, H. and Wong, A., 2013: Inference for the Normal Mean with Known Coefficient of Variation. Open Journal of Statistics, Vol. 3, No. 6A, p. 45-51
  6. Wang, H., Wu, Y., Fu, Y., Wang, X., 2013: Data Fusion Using Empirical Likelihood. Open Journal of Statistics.  Vol. 2 (5) p. 547-556

2012

  1. Hii, Y.L., Zhu, H.,  Ng, N.,  Ng, L.C., Rocklov, J., 2012: Forecast of Dengue Incidence Using Temperature and Rainfall .  Plos Negl Trop Dis.  6(11)
  2. Wan, H., and Zhu, H., 2012: The Impact of Resource and Temperature on Malaria Transmission. Journal of Biological Systems, Vol. 20 (3), p. 285-302
  3. Ku, H., Lee, K., and Zhu, H., 2012: Discrete Time Hedging with Liquidity Risk. Finance Research Letters, Vol. 9 (3), p. 135-143
  4. Zhao Y., and Zhu, H., 2012: Bifurcation of Limit Cycles from a Non-Hamiltonian Quadratic Integrable System with Homoclinic Loop. In “Infinite Dimensional Dynamical Systems”, Fields Institute Communications, V. 64. Editors: John Mallet-Paret, Jianhong Wu, Yingfie Yi and Huaiping Zhu.
  5. Qi, L., Cui, J., Gao, Y., and Zhu, H., 2012: Modeling the Schistosomiasis on the Islets in Nanjing. International Journal of Biomathematics. Vol. 5 (4)
  6. Chen, J., Li, P., and Fu, Y., 2012: Inference on the Order of a Normal Mixture. Journal of the American Statistical Association.  Vol. 107 (499), p. 1096-1105
  7. Liu, Y., Li, P., and Fu, Y., 2012: Testing Homogeneity in a Semiparametric Two-Sample Problem. Journal of Probability and Statistics

2011

  1. Wang, J., Ogden, N., and Zhu, H., 2011: The impact of weather conditions on Culex pipiens and Culex restuans (Diptera: Culicidae) abundance: A case study in Peel region. Journal of Medical Entomology, Vol. 48 (2), p. 468-75
  2. Shan, C., Gao, H., and Zhu, H., 2011: Dynamics of a Delay Schistosomiasis Model in Snail Infections. Math. Biosci. Eng. 8 (2011), Vol. 4, p. 1099–1115
  3. Yao, F., Fu, Y., and Lee, T., 2011: Functional Mixture Regression. Biostatistics, Vol. 12 (2), p. 341–353

2010

  1. Wan, H., Zhu, H., 2010: The backward bifurcation in compartmental models for West Nile virus. Math Biosci., Vol. 227 (1), p. 20-8
  2. Miller, N., Chapman, J., Qian, J., Christens-Barry, W., Fu, Y., Yuan, Y., Lickley, H., and Axelrod, D., 2010: Heterogeneity Between Ducts of the Same Nuclear Grade Involved by Duct Carcinoma In Situ (DCIS) of the Breast. Cancer Informatics, Vol. 9, p. 209–216
  3. Liu, Y., Ji, G., Yang, Z., 2010: Using Learned PSR Model for Planning under Uncertainty. In: Farzindar A., Kešelj V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science, Vol. 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_35
  4. Yang, Z. and Cao, Y., 2010: Assessing Canadian Schedule I Banks using DEA Window Analysis and the Malmquist Index. The 7th International Conference on Service Systems and Service Management, 2010, pp. 1-6, doi: 10.1109/ICSSSM.2010.5530262
  5. Yang, Z., Wang, X., and Sun, D., 2010: Using the bootstrap method to detect influential DMUs in data envelopment analysis. Annals of Operations Research, Vol. 173, p. 89–103
  6. Fan, G., Liu, J., van den Driessche, P., Wu, J., Zhu, H., 2010: The impact of maturation delay of mosquitoes on the transmission of West Nile virus. Math. Biosci., Vol. 228 (2), p. 119-126
  7. Fan, M., Xia, Z. and Zhu, H., 2010: Asymptotic Stability of Delay Differential Equations via Fixed Point Theory and Applications. Canadian Applied Mathematics Quarterly.
  8. Fan, M., Zhang, J., and Zhu, H., 2010: Existence and Roughness of Exponential Dichotomies of Linear Dynamic Equations on Time Scales. Computers and Mathematics with Applications, Vol. 59, p. 2658-2675.

2009

  1. Jiang, J., Qiu, Z., Wu, J., and Zhu, H., 2009: Threshold Conditions for West Nile Virus Outbreaks. Bulletin of Mathematical Biology, Vol. 71 (3), p. 627-647
  2. Buck, P., Liu, R., Shuai, J., Wu, J., and Zhu, H., 2009: Modeling and Simulation Studies of West Nile Virus in Southern Ontario Canada. In the book “Modeling and Dynamics of Infectious Diseases”, World Scientific Publishing Company, Incorporated.
  3. Wu, J., and Zhu, H., 2009: International Conference on Infinite Dimensional Dynamical Systems. Dynamical Systems Magazine. April, 2009.
  4. Yang, Z., 2009: Bank Branch Operating Efficiency: A DEA Approach. IAENG International Conference on Operations Research
  5. Cui, Y., Fu, Y., and Husseinc, A., 2009: Group Sequential Testing of Homogeneity in Genetic Linkage Analysis. Computational Statistics and Data Analysis, Vol. 53 (10), p. 3630-3639
  6. Yan, B., and Yang, Z., 2009: Simulation Resource Selection based on Local Optimization Method in Distributed Simulation Repository. IEEE 16th International Conference on Industrial Engineering and Engineering Management.
  7. Zhang, P., Qiu, Z., Fu, Y., and Song, P., 2009: Robust transformation mixed-effects models for longitudinal continuous proportional data. The Canadian Journal of Statistics. Vol. 37, p. 266-281
  8. Fu, Y., Chen, J., and Kalbfleisch, D. J., 2009: MODIFIED LIKELIHOOD RATIO TEST FOR HOMOGENEITY IN A TWO-SAMPLE PROBLEM. Statistica Sinica. Vol. 19, p. 1603-1619
  9. Fu, Y., Wang, X., and Wu, C., 2009: Weighted empirical likelihood inference for multiple samples. Journal of Statistical Planning and Inference. Vol. 139 (4), p. 1462-1473
  10. Ji, G., Ye, C., Yang, Z., and Guo, Z., 2009: A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv. In: Leung C.S., Lee M., Chan J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, Vol. 5863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10677-4_17
  11. Yang, Z., 2009: Assessing Canadian Bank Branch Operating Efficiency Using Data Envelopment Analysis. AIP Conference Proceedings 1174, 31 (2009); https://doi.org/10.1063/1.3256259.
  12. Xia, Y., Yang, Z., and Han, M., 2009: Synchronization schemes for coupled identical Yang-Yang type fuzzy cellular neural networks. Communications in Nonlinear Science and Numerical Simulations. Vol. 14 (9-10), p. 3645-3659
  13. Xia, Y., Yang, Z., and Han, M., 2009: Lag synchronization of chaotic delayed Yang-Yang type fuzzy neural networks with noise perturbation based on adaptive control and parameter identification. IEEE Transactions on Neural Networks. Vol. 20 (7), p. 1165-1180
  14. Yang, Z., 2009: Assessing the Performance of Canadian Bank Branches using Data Envelopment Analysis. Journal of the OR Society (JORS). Vol. 60, p. 771–780
  15. Yang, Z., and Paradi, J.C., 2009: A DEA Evaluation of Software Project Efficiency. IEEE International Conference on Industrial Engineering and Engineering Management, 2009, p. 1723-1727, doi: 10.1109/IEEM.2009.5373148.
  16. Yan, B., Benslimane, Y., and Yang, Z., 2009: IS Development Activities and Methodologies in Practice: A Survey of the IT Sector in China. IEEE International Conference on Industrial Engineering and Engineering Management, 2009, p. 598-602, doi: 10.1109/IEEM.2009.5373264.
  17. Yan, B., and Yang., Z., 2009: Simulation Resource Selection based on Local Optimization Method in Distributed Simulation Repository. 16th International Conference on Industrial Engineering and Engineering Management, p. 1882-1886, doi: 10.1109/ICIEEM.2009.5344304.
  18. Cao, Y., and Yang, Z., 2009: Using DEA Window Analysis and the Malmquist Index to Evaluate the Operations of Canadian Schedule I Banks. 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics, p. 353-358, doi: 10.1109/SOLI.2009.5203958.
  19. Yang, Z., 2009: Bank Branch Operating Efficiency: A DEA Approach. Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol II, March 18 – 20, 2009, Hong Kong

2008

  1. Han, M., Jiang, J., and Zhu, H., 2008: Limit Cycle Bifurcations in Near-Hamiltonian Systems by Perturbing a Nilpotent Center. Internat. J. Bifur. Chaos Appl. Sci. Engrg. Vol. 18 (10), p. 3013-3027
  2. Cui, J., Tao, J., and Zhu, H.,2008: An SIS Infection Model Incorporating Media Coverage. Rocky Mountain Journal of Mathematics, Vol. 38 (5)
  3. Liu, R., Feng, Z., Zhu, H., and DeAngelis, D., 2008: Bifurcation Analysis of a Plant-herbivore Model with Toxin-determined Functional Response. J. Differential Equations, Vol. 245 (2), p. 442-467
  4. Yang, Z., and Gan, G., 2008: Application of Fuzzy Classification in Bankruptcy Prediction. In: Huang DS., Wunsch D.C., Levine D.S., Jo KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_113
  5. Yang, Z., Wu, D., Fu, G., and Luo, C., 2008: Credit Risk Evaluation Using Neural Networks. In: Olson D.L., Wu D. (eds) New Frontiers in Enterprise Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78642-9_11
  6. Wu, D., Liang, L., and Yang, Z., 2008: Analyzing the financial distress of Chinese public companies using probabilistic neural networks and multivariate discriminate analysis, Socio-Economic Planning Sciences, Vol. 42 (3), p. 206-220
  7. Axelrod, E.D., Miller, A.N., Lickley, H.L., Qian, J., Christens-Barry, A.W., Yuan, Y., Fu, Y., and Chapman, W.J., 2008: Effect of Quantitative Nuclear Image Features on Recurrence of Ductal Carcinoma In Situ (DCIS) of the Breast. Cancer Informatics. Vol. 6, p. 99-109
  8. Benslimane, Y., and Yang, Z., 2008: Project Management Trends in IS Development. 2008 IEEE International Conference on Industrial Engineering and Engineering Management, p. 1759-1763, doi: 10.1109/IEEM.2008.4738174.
  9. Chen, J., Li, P., and Fu, Y., 2008: Testing Homogeneity in a Mixture of Von Mises Distributions with a Structural Parameter. The Canadian Journal of Statistics. Vol. 36 (1), p. 129-142. https://doi.org/10.1002/cjs.5550360112
  10. Fu, Y., Chen, J., and Li, P., 2008: Modified likelihood ratio test for homogeneity in a mixture of von Mises distributions. Journal of Statistical Planning and Inference. Vol. 138 (3), p. 667-681

2007

  1. Gardam, M., Liang, D., Seyed, M., Wu, J., Zeng Q., and Zhu, H., 2007: The impact of prophylaxis of health care workers on influenza pandemic burden. Journal of the Royal Society, Vol. 4 (15), p. 727–734
  2. Khan, K., Wu, J., Zeng, Q., and Zhu, H., 2007: The Utility of Preemptive Mass Influenza Vaccination in Controlling a SARS Outbreak during Flu Season. Math. Biosci. Eng., Vol. 4 (4), p. 739-754
  3. Han, M., and Zhu, H., 2007: The Loop Quantities and Bifurcations of Homoclinic Loops.  J. Differential Equations. Vol. 234 (2), p. 339-359
  4. Wu, J., Yao, W., and Zhu, H., 2007: Immune System Memory Realization in A Population Model. Discrete and Continuous Dynamical Systems-Series B, Vol. 8 (1), p. 241-259
  5. Liu, R., Wu, J., and Zhu, H., 2007: Media/psychological Impact on Multiple Outbreaks of Emerging Infectious Diseases. Computational and Mathematical Methods in Medicine. Vol. 8 (3), pp153-164
  6. Cui, J., Sun, Y., and Zhu, H., 2007: The Impact of Media on the Control of Infectious Diseases. Journal of Dynamics and Differential Equations. Available on line: May 18, 2007. Vol. 20 (1), 2008
  7. Andreopoulos, A., Andreopoulos, B., An, A. and Wang, X., 2007: Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways. In: Washio T. et al. (eds) Emerging Technologies in Knowledge Discovery and Data Mining. PAKDD 2007. Lecture Notes in Computer Science, Vol. 4819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77018-3_19
  8. Andreopoulos, B., An, A. and Wang, X., 2007: Hierarchical Density-based Clustering of Categorical Data and Simplication. In: Zhou ZH., Li H., Yang Q. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2007. Lecture Notes in Computer Science, Vol. 4426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71701-0_5
  9. Chapman, J.A.W., Miller, A.N., Lickley, A.L.H., Qian, J., Christens-Barry, A.W., Fu, Y., Yuan, Y., and Axelrod, E.D., 2007: Ductal carcinoma in situ of the breast (DCIS) with heterogeneity of nuclear grade: prognostic effects of quantitative nuclear assessment. BMC Cancer, Vol. 7, 174. doi: 10.1186/1471-2407-7-174
  10. Andreopoulos, B., An, A., Wang, X., Faloutsos, M and Schroeder, M., 2007: Clustering by Common Friends Finds Locally Significant Proteins Mediating Modules. Bioinformatics. Vol. 23 (9), p. 1124–1131, https://doi.org/10.1093/bioinformatics/btm064
  11. Wang, X., Liang, D, Feng, X. and Ye, L., 2007: A Derivative Free Optimization Algorithm based on Conditional Moments. Mathematical Analysis and Applications. Vol. 331 (2), p. 1337 – 1360
  12. Wu, D., Yang, Z., Vela, S. and Liang, L., 2007: Simultaneous Analysis of Production and Investment Performance of Canadian Life & Health Insurance Companies Using Data Envelopment Analysis. Computers and Operations Research. Vol. 34 (1), p. 180 – 198
  13. Yang, Z., 2007: Assessing productivity and competitiveness of Canadian bank branches with systematic difference using Data Envelopment Analysis. International Conference on Industrial Engineering and Systems Management.
  14. Yang, Z. and Benslimane, Y., 2007: Evaluating Public Service Maturity of E-government in Canadian Cities. International Conference on Management Innovation.
  15. Yang, Z., Wu, D., and Fu, G., 2007: Credit Risk Evaluation using Neural Networks. International Conference on Management Innovation.

2006

  1. Xiao, D., and Zhu, H., 2006: Multiple focus and Hopf bifurcations in a predator-prey system with nonmonotonic functional response. SIAM J. Appl. Math., Vol. 66 (3), p. 802–819
  2. Li, J., Wu, J., and Zhu, H., 2006: Travelling Waves for an Integrable Higher Order KdV Type Wave Equations. International Journal of Bifurcation and Chaos, Vol. 8, p. 2235-2260
  3. Liu, R., Shuai, J., Wu, J., and Zhu, H., 2005: Modeling Spatial Spread of West Nile virus and Impact of Directional Dispersal of Birds. Math. Biosci. Eng., Vol. 3(1), 145-160
  4. Muñiz, M, Paradi, J., Ruggiero, J., and Yang., Z., 2006: Evaluating Alternative DEA Models Used to Control for Non-discretionary Inputs. Computers and Operations Research. Vol. 33 (5), p. 1173-1183
  5. Wu, D., Yang, Z. and Liang, L., 2006: Using DEA-Neural Network Approach to Evaluate Branch Efficiency of a Large Canadian Bank. Expert System with Applications. Vol. 31 (1), p. 108 – 115
  6. Yang, Z., 2006: A Two-stage DEA Model to Evaluate the Overall Performance of Canadian Life & Health Insurance Companies. Mathematical and Computer Modeling. Vol. 43 (7-8), p. 910 – 919
  7. Wang, X., Qiu, W. and Zamar, R., 2006: An Iterative Non-parametric Clustering Algorithm Based on Local Shrinking. Computational Statistics and Data Analysis. Vol. 52 (1), p. 286-298
  8. Wu, D., Yang, Z. and Liang, L., 2006: Efficiency Analysis of Cross-Region Bank Branches Using Fuzzy Data Envelopment Analysis. Applied Mathematics and Computation. Vol. 181 (1), p. 271-281
  9. Zhang, P., Wang, X. and Song, P., 2006: Clustering Categorical Data Based on Distance Vectors. The Journal of the American Statistical Association. Vol. 101 (473), p. 355-367, DOI: 10.1198/016214505000000312
  10. Benslimane, Y. and Yang, Z., 2006: Analysis of Functionalities of Commercial Websites Used for Procurement: Implications on Design and Operations. International Journal of Information Systems for Logistics and Management. Vol. 2 (1), p. 35 – 42
  11. Wu, D., Liang, L. and Yang, Z., 2006: Empirical Study on Credit Risk of Chinese Public Company Using PNN and MDA. Socio-Economic Planning Sciences.
  12. Benslimane, Y. and Yang, Z., 2006: Linking Commercial Websites Functions to Perceived Usefulness: A Free Disposal Hull Approach. Mathematical and Computer Modeling. Vol. 46 (9-10), p. 1191-1202
  13. Andreopoulos, B., An, A., Tzerpos, V. and Wang, X., 2006: Clustering Large Software Systems at Multiple Layers. Information and Software Technology. Vol. 49 (3), p. 244-254
  14. Wang, X., 2006: Approximating Bayesian Inference by Weighted Likelihood Method. The Canadian Journal of Statistics. Vol. 34 (2), p. 279 – 298
  15. Andreopoulos, B, An, A, Huang, X. and Wang, X., 2006: Finding Molecular Complexes through Multiple Layer Clustering of Protein Interaction Networks. International Journal of Bioinformatics Research and Applications. Vol. 3 (1), p. 65-85
  16. Wang, X., 2006: Asymptotic Properties of Adaptive Likelihood Weights by Cross-validation. Communications in Statistics: Theory and Method. Vol. 35 (7), p. 1257-1270
  17. Fu, Y., Chen, J. and Kalbfleisch, J.D., 2006: TESTING FOR HOMOGENEITY IN GENETIC LINKAGE ANALYSIS. Statistica Sinica. Vol. 16, p. 805-823
  18. Andreopoulos, B, An, A. and Wang, X., 2006: BILCOM: Bi-level Clustering of Mixed Categorical and Numerical Biological Data. International Journal of Data Mining and Bioinformatics. Vol. 1 (1), p. 19 – 56
  19. Yang, Z., 2006: Profitability Efficiency Comparison between Canadian and Chinese Resource Companies using Data Envelopment Analysis. 2006 IEEE International Conference on Management of Innovation and Technology, p. 47-51, doi: 10.1109/ICMIT.2006.262217
  20. van Alest, S., Wang, X., Zamar, R.H. and Zhu, R., 2006: Grouping Linear Patterns Using Orthogonal Regression. Computational Statistics and Data Analysis. Vol. 50 (5), p. 1287-1312
  21. Yang, Z. and Paradi, J.C., 2006: Cross Firm Bank Branch Benchmarking Using “Handicapped” Data Envelopment Analysis to Adjust for Corporate Strategic Effects. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06), 2006, p. 34b-34b, doi: 10.1109/HICSS.2006.104.
  22. Yang, Z., 2006: Data Envelopment Analysis Evaluation of Canadian Resource Companies. 2006 Technology Management for the Global Future – PICMET 2006 Conference, p. 2400-2406, doi: 10.1109/PICMET.2006.296827.
  23. Yang, Z., 2006: Identifying Environmental Variables Affecting Bank Branch Performance using Data Envelopment Analysis. 2006 IEEE International Conference on Service Operations and Logistics, and Informatics, p. 192-196, doi: 10.1109/SOLI.2006.329061.
  24. Gan, G., Wu, J. and Yang, Z., 2006: A Fuzzy Subspace Algorithm for Clustering High Dimensional Data. In: Li X., Zaïane O.R., Li Z. (eds) Advanced Data Mining and Applications. ADMA 2006. Lecture Notes in Computer Science, Vol. 4093. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811305_30

2005

  1. Zhu, H., 2005: From the PP-graphics to the finiteness part of Hilbert’s 16th problem for quadratic systems. EQUADIFF, p. 357-362
  2. Bowman, C., Gumel, A.B., van den Driessche, P., Wu, J., and Zhu, H., 2005: A Mathematical Model for Assessing Control Strategies against West Nile virus. Bull. Math. Biol., Vol. 67 (5), p. 1107-1133
  3. Yang, Z., Benslimane, Y., 2005: Cross Firm Bank Branch Evaluation Using Data Envelopment Analysis. Journal of Global Management Research.
  4. Yang, Z., Benslimane, Y., 2005: Efficient Design of Commercial Websites for E-Procurement. Proceedings of the 2005 International Business Information Management Conference (IBIMA) on Information Management in Modern Enterprise. ISBN: 0-9753393-3-8, p. 465-469
  5. Yang, Z., 2005: DEA Evaluation of Bank Branch Performance. Proceedings. 2005 IEEE International Engineering Management Conference, p. 82-85, doi: 10.1109/IEMC.2005.1559092.
  6. Benslimane, Y. and Yang, Z., 2005: Analysis of Functionalities of Commercial Websites Used for Procurement: Implications on Design and Operations. The Fifth International Conference on Electronic Business. p. 386 – 391
  7. Andreopoulos, B, An, A and Wang, X., 2005: Clustering the Internet Topology at Multiple Layers. Proceedings of the 5th WSEAS Int. Conf. on Simulation, Modelling and Optimization, Corfu, Greece, August 17-19, 2005, p. 231-236
  8. Andreopoulos, B., An, A., Tzerpos, V. and Wang, X., 2005: Multiple Layer Clustering of Large Software Systems. 12th Working Conference on Reverse Engineering (WCRE’05), 2005, p. 10-88, doi: 10.1109/WCRE.2005.24
  9. Andreopoulos, B, An, A and Wang, X., 2005: Clustering Mixed Numerical and Low Quality Categorical Data: Significance Metrics on a Yeast Example. Proceedings of the 2nd International ACM SIGMOD Workshop on Information Quality in Information Systems. p. 87–98. https://doi.org/10.1145/1077501.1077517
  10. Wang, X. and Zidek, J.V., 2005: Derivation of Mixture Distribution and Weighted Likelihood as minimizers of KL-divergence subject to constraints. The Annals of the Institute of Statistical Mathematics. Vol. 57, p. 687–701. https://doi.org/10.1007/BF02915433
  11. Wang, X. and Zidek, J.V., 2005: Selecting likelihood weights by cross-validation. The Annals of Statistics. Vol. 33 (2), p. 463-500,   https://doi.org/10.1214/009053604000001309
  12. Gan, G., Yang, Z., and Wu, J., 2005: A Genetic k-Modes Algorithm for Clustering Categorical Data. In: Li X., Wang S., Dong Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science, Vol. 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_23

2004

  1. Feng, Z., Swihart, R., Yi, Y., Zhu, H., 2004: Coexistence in a metapopulation model with explicit local dynamics. Math. Biosci., Vol. 1 (1), p. 131-45
  2. Webb, G.F., Blaser, M.J., Zhu, H., Ardal, S., and Wu, J., 2004: Critical Role of Nosocomial Transmission in the Toronto SARS Outbreak. Math. Biosci. Eng., Vol. 1 (1), p. 1-13
  3. Feng, Z., Yi, Y., and Zhu, H., 2004: Fast and slow dynamics of malaria and the S-gene frequency. J. Dynam. Differential Equations, Vol. 16, p. 869–896
  4. Rousseau, C., and Zhu, H., 2004: PP-graphics with a nilpotent elliptic singularity in quadratic systems and Hilbert’s 16th problem. J. Differential Equations, Vol. 196 (1), p. 169–208
  5. Wang, X., van Eeden, C. and Zidek, J.V., 2004: Asymptotic Properties of Weighted Likelihood Estimators. Journal of Statistical Planning and Inference. Vol. 119, p. 37-54
  6. Paradi, J.C., Vela, S., and Yang, Z., 2004: Assessing bank and bank branch performance – modelling considerations and approaches. In: Cooper W.W., Seiford L.M., Zhu J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 71. Springer, Boston, MA. https://doi.org/10.1007/1-4020-7798-X_13
  7. Paradi, J.C. and Yang, Z., 2004: DEA Analysis of a Y2K Software Retrofit Program. IEEE Transactions on Engineering Management. Vol. 51 (3), p. 279-287, doi: 10.1109/TEM.2004.830843.
  8. Yang, Z. and Xu, D., 2004: The Difference and Analysis of Application of Income Approach between China and Abroad. The Journal of Assets Appraisal. Vol. 54 (6), p. 20 – 21

2003

  1. Feng, Z., Yi, Y. and Zhu, H., 2003: Metapopulation Dynamics with Migration and Local Competition. Dynamical systems and their applications in biology (Cape Breton Island, NS, 2001), Fields Inst. Commun., Vol. 36, p.119–135.
  2. Zhu, H., Campbell S.A., and Wolkowicz, G., 2002: Bifurcation analysis of a predator-prey system with nonmonotonic function response. SIAM J. Appl. Math., Vol. 63 (2), p. 636–682
  3. Zhu, H., and Rousseau, C., 2002: Finite cyclicity of graphics with a nilpotent singularity of saddle or elliptic type. J. Differential Equations, Vol. 178 (2), p. 325–436.
  4. Zhu, H., 1999: Finite Cyclicity of Graphics with a Nilpotent Singularity of Saddle or Elliptic Type, Ph.D. Thesis, Universite de Montreal, Sept. 1999. Saddle Zhu: Original thesis collected by Library and Archives Canada
  5. Zhu, H., 1997: The Dirichlet Problem for a Singular Singularly Perturbed Quasilinear Second Order Differential System, J. Math. Anal. Appl. Vol. 210 (1), p. 308–336
  6. Zhu, H., 1994: A singular singularly perturbed boundary value problem of the second order quasilinear systems, J. Math. Anal. Appl. Vol. 182 (2), p. 320–347
  7. Zhu, H., and Lin, W., 1994: The singularly perturbed Dirichlet problem for a system of conditionally stable quasilinear second-order equations. J. East China Norm. Univ. Natur. Sci. Ed. Vol. 4, p. 15–24
  8. Zhu, H., 1994: The multi-layers solution for a singular singularly perturbed initial boundary value problem. J. Nanjing Norm. Univ. Natur. Ed. Vol.1, p. 1–10
  9. Zhu, H., 1992: A singularly perturbed boundary value problem in the critical case, J. Nanjing Norm. Univ. Natur. Ed. Vol. 4, p. 3–11
  10. Zhu. H., 1991: A Initial-boundary Value Problem for the First Order Singular Perturbed Differential Systems in “Ordinary Differential Equations”. Proceeding of the first Chinese National Conference for Youth on Ordinary Differential Equations. Ed. Y. Qin, Scientific Publishing House. p. 241-247
  11. Zhu H., 1986: A note on Mean Value Theorem in calculus, J. Huaiyin Normal University, Natur. Ed. Vol. 3. (This is the first paper encouraged by Prof. Jiaxiu Ji, Huaiyin Normal University. He was my high school teacher, also known as “Ji Triangle” in Jiangsu Province, China).