1. Bhatta, D., Paudel, K.P. and Li, B. (2021) “Potential economic impacts of groundwater conservation in the Mississippi River Alluvial Aquifer (MRAA), Louisiana, USA”, Natural Resource Modeling. link
2. Li, B., Marx, B.D., Chakraborty, S. and Weindorf, D.C. (2021) “Multivariate calibration on heterogeneous samples”, Chemometrics and Intelligent Laboratory Systems, 217: 104386. link
3. Li, B., Chakraborty, S., Weindorf, D.C. and Yu, Q. (2021) “Data Integration Using Model-Based Boosting”,SN Computer Science, 2 Article number 400. link
4. Gurdian, C.E., Torrico, D.D., Li, B., Tuuri, G. and Prinyawiwatkul, W. (2021) “Effect of Disclosed Information on Product Liking, Emotional Profile, and Purchase Intent: A Case of Chocolate Brownies Containing Edible-Cricket Protein”, Foods 10(8): 1769. DOI link.
5. Gurdian, C.E., Torrico, D.D., Li, B., Tuuri, G. and Prinyawiwatkul, W. (2021) “Effect of Informed Conditions on Sensory Expectations and Actual Perceptions: A Case of Chocolate Brownies Containing Edible-Cricket Protein”, Foods 10(7): 1480. DOI link.
6. Gurdian, C.E., Torrico, D.D., Li, B. and Prinyawiwatkul, W. (2021) “Effect of Serving Plate Types and Color Cues on Liking and Purchase Intent of Cheese-Flavored Tortilla Chips”, Foods 10(4): 886. DOI link.
7. Ferreira, G.W.D., Ribeiro, B.T., Weindorf, D.C., Teixeira, B.I., Chakraborty, S., Li, B., Guilherme, L.R.G. and Scolforo, J.R.S. (2021) “Assessment of iron-rich tailings via portable X-ray fluorescence spectrometry: the Mariana dam disaster, southeast Brazil” Environmental Monitoring and Assessment, 193:203. link.
8. Slaughter, L., Deb, S., Chakraborty, S., Li, B., Bakr, N., Edwards, B. and Weindorf, D.C. (2021) “On-farm evaluation of regenerative land-use practices in a semi-arid pasture agroecosystem in West Texas, USA”, Revista Brasileira de Ciência do Solo. 45:e0200163. DOI link.
9. Vacar, C.L., Covaci, E., Chakraborty, S., Li, B., Weindorf, D.C., Fren?iu, T., Pârvu, M. and Podar, D. (2021) “Heavy metal-resistant filamentous fungi as potential mercury bioremediators”, Journal of Fungi. 7(5), 386. link.
10. Li, B., Yu, Q., Zhang, L. and Hsieh, M. (2021) “Regularized multiple mediation analysis”, Statistics and Its Interface, 14(4): 449-458. link
11. Sérgio Henrique Godinho Silva, Bruno Teixeira Ribeiro, Marcelo Braga Bueno Guerra, Hudson Wallace Pereira de Carvalho, Guilherme Lopes, Geila Santos Carvalho, Luiz Roberto Guimarães Guilherme, Mauro Resende, Marcelo Mancini, Nilton Curi, Rogerio Borguete Alves Rafael, Valeria Cardelli, Stefania Cocco, Giuseppe Corti, Somsubhra Chakraborty, Bin Li, David C Weindorf (2021) “pXRF in tropical soils: Methodology, applications, achievements and challenges”, Bioremediation Science: From Theory to Practice, CRC Press, pp92.
12. Day, J.W., Li, B., Marx, B.D., Zhao, D. and Lane, R. (2020) “Multivariate analyses of water quality dynamics over four decades in the Barataria basin, Mississippi delta”, Water 12(11), 3143; DOI link.
13. Yu, Q. and Li, B. (2020) “Third-variable effect analysis with multilevel additive models”, PLOS ONE DOI link.
14. Li, B., Bakshi, B.R. and Goel, P. (2020) “Computationally Intensive Nonlinear Regression Methods”, in Brown, S., Tauler, R., Walczak, B. (eds.) Comprehensive Chemometrics: Chemical and Biochemical Data Analysis (2nd Ed.), Elsevier, pp. 505–517.
15. Swetha, R.K., Bende, P.S., Singh, K., Gorthi, S., Biswas, A., Li, B. and Weindorf, D.C., Chakraborty, S. (2020) “Predicting soil texture from smartphone-captured digital images and an application”, Geoderma, Vol. 376. DOI link.
16. Gorthi, S., Chakraborty, S., Li, B. and Weindorf, D.C. (2020) “A field-portable acoustic sensing device to measure soil moisture”, Computers and Electronics in Agriculture, Vol. 174. DOI link.
17. Swetha, R.K., Bende, P.S., Singh, K., Gorthi, S., Biswas, A., Li, B. and Weindorf, D.C., Chakraborty, S. (2020) “Predicting soil texture from smartphone-captured digital images and an application”, Geoderma, Vol. 376. DOI link.
18. Yu, Q. and Li, B., "A Multivariate Multiple Third-Variable Effect Analysis with an Application to Explore Racial and Ethnic Disparities in Obesity", Journal of Applied Statistics, 48(4), 750-764. link.
19. Dutta, S., Chakraborty, S., Banerjee, H., Goswami, R., Majumdar, K., Li, B. and Jat, M.L. "Maize Yield in Smallholder Agriculture System – an Approach Integrating Socio-economic and Crop Management Factors" PLOS ONE, link.
20. Yu, Q. and Li, B. "Model-guided adaptive sampling for Bayesian model selection". Journal of the Korean Statistical Society, link.
21. Mukhopadhyay, S., Chakraborty, S., Bhadoria, P.B.S., Li, B. and Weindorf, D.C. (2020) "Assessment of heavy metal and soil organic carbon by portable X-ray fluorescence spectrometry and NixPro sensor in landfill soils of India". Geoderma Regional, Vol. 20. link
22. Li, B., Yu, Q. and Peng, L. (2020) "Ensemble of Fast Learning Stochastic Gradient Boosting". Communications in Statistics - Simulation and Computation, link and link
23. S. Irving, B. Li, S.-M. Chen, Lu Peng, Weihua Zhang, and Lide Duan, (2020). "Computer Comparisons in the Presence of Performance Variation". Frontiers of Computer Science (Springer), 14(1): 21-41. pdf
24. Xu, Y., Wang, L., Ma, Z., Li, B., Bartels, R., Liu, C., Zhang, X. and Dong, J. (2020) "Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture". IEEE Transactions on Geoscience and Remote Sensing, Vol. 58(2): 1182-1191. link
25. Kagiliery, J., Chakraborty, S., Acree, A., Weindorf, D.C., Brevik, E.C., Jelinski, N.A., Li, B. and Jordan, C. (2019). "Rapid quantification of lignite sulfur content: Combining optical and X-ray approaches". International Journal of Coal Geology, Vol. 216. link
26. Liu, H., Xu, K., Li, B., Han, Y. and Li, G. (2019). "Sediment identification using machine-learning classifiers in a mixed-texture dredge pit of Louisiana shelf for coastal restoration". Water, 11(6): 1257. link
27. Chakraborty, S., Li, B., Weindorf, D.C. Deb, S. Acree, A. De, P. and Panda, P. (2019). "Use of portable X-ray fluorescence spectrometry for classifying soils from different land use land cover systems in India". Geoderma, Vol. 338:5-13. link
28. Rawal, A., S. Chakraborty, B. Li, K. Lewis, M. Godoy, L. Paulette, and D.C. Weindorf. (2019). "Determination of base saturation percentage in agricultural soils via portable X-ray fluorescence spectrometer". Geoderma, Vol. 338:375-382. link
29. Chakraborty, S., Li, B., Weindorf, D.C. and Morgan, C.L.S. (2019). "External parameter orthogonalisation of Eastern European VisNIR-DRS soil spectra". Geoderma, Vol. 337: 65–75. link
30. Li, B., B.D. Marx., Chakraborty, S. and Weindorf, D.C. (2019). "Multivariate calibration with robust signal regression". Statistical Modelling: An International Journal, Vol. 19(5): 524-544. link
31. Weindorf, D.C., Chakraborty, S., Kucera, J.M., Li, B., Fultz, L., Martiniez, V.A. and Li, C. (2018). "Advanced Modeling of Soil Biological Properties Using Visible Near Infrared Diffuse Reflectance Spectroscopy". International Journal of Bioresource Science, Vol. 5(1): 1-20. link
32. Yu, Q., Wu, X., Li, B. and Scribner, R.A. (2018). "Multiple mediation analysis with survival outcomes: With an application to explore racial disparity in breast cancer survival". Statistics in Medicine, Vol. 38(3): 398-412. link
33. Li, B., Chakraborty, S., Godoy, M., Kusi, N.Y.O. and Weindorf, D.C. (2018). "Compost cation exchange capacity via portable X-ray fluorescence (PXRF) spectrometry". Compost Science and Utilization, Vol. 26(4): 271-278. link
34. G. Mariotti, H. Huang, Z. Xue, B. Li, D. Justic, and Z. Zang. (2018). "Biased wind measurements in estuarine waters". Journal of Geophysical Research: Oceans, Vol. 123: 3577-3587. link
35. Hagan, J. and Li, B. (2018). "Phase II Performance of P-Charts and P'-Charts". Journal of Medical Statistics and Informatics, Vol. 6: Article 3. doi: 10.7243/2053-7662-6-3. link
36. D. Pearson, D.C. Weindorf, S. Chakraborty, B. Li, J. Koch, P. Van Deventer, J. de Wet, and N. Yaw Kusi. (2018). "Analysis of metal-laden water via portable X-ray fluorescence spectrometry". Journal of Hydrology, Vol. 561: 267-276. link
37. Kahlon, C.S., Li, Li., Board, J., Dia, M., Sharma, P. and Jat, P. (2018). "Cluster and Principle Component Analysis of Soybean Grown at Various Row Spacings, Planting Dates and Plant Populations". Open Agriculture, Vol. 3: 110-121. link
38. C. McGladdery, D.C. Weindorf, S. Chakraborty, B. Li, L. Paulette, D. Podar, D. Pearson, N.Y.O. Kusi, and B. Duda. (2018). "Elemental assessment of vegetation via portable X-ray fluorescence (PXRF) spectrometry". Journal of Environmental Management, Vol. 210: 21-225. link
39. Weindorf, D.C., Chakraborty, S., B. Li, S. Deb, A. Singh, and N.Y. Kusi. (2018). "Compost salinity assessment via Portable X-ray fluorescence (PXRF) spectrometry". Waste Management, 78:158-163. link
40. Raj, A., Chakraborty, S., B.M. Duda, D.C. Weindorf, B. Li, S. Roy, M.C. Sarathjith, B.S. Das, and L. Paulette. (2018)."Soil mapping via diffuse reflectance spectroscopy based on variable indicators: An ordered predictor selection approach". Geoderma, 314:146-159. link
41. S. Chakraborty, D.C. Weindorf, C. Weindorf, B. Das, B. Li, B. Duda, S. Pennington, R. Ortiz. (2017). "Semi-Quantitative Evaluation of Secondary Carbonates via Portable X-ray Fluorescence Spectrometry"Soil Science Society of America Journal, Vol. 81(4): 844-852. link
42. B. Li and Q. Yu. "A Nonparametric Test of Independence Between Two Variables". Statistical Analysis and Data Mining, Vol. 10(6): 422-435. link
43. B.M. Koch, J., S. Chakraborty, B. Li, J. Moore-Kucera, P. van Deventer, A. Daniell, C. Faul, T. Man, D. Pearson, B. Duda, C.A. Weindorf, and D.C. Weindorf. (2017). “Proximal sensor analysis of mine tailings in South Africa: An exploratory study”, Journal of Geochemical Exploration, Vol. 181: 45-57.link
44. B.M. Duda, D.C. Weindorf, S. Chakraborty, B. Li, T. Man, L. Paulette, S. Deb. (2017). “Soil characterization across catenas via advanced proximal sensors”, Geoderma, Vol. 298: 78–91.link
45. Yu, Q. and Li, B., (2017). “mma: An R Package for Mediation Analysis with Multiple Mediators”. Journal of Open Research Software. Vol. 5(1): 11.link
46. S. Chakraborty, B. Li, S. Deb, S. Paul, D.C. Weindorf, B.S. Das. (2017). “Predicting soil arsenic pools by visible near infrared diffuse reflectance spectroscopy”. Geoderma, Vol. 296: 30–37.link
47. S. Chakraborty, D.C. Weindorf, S. Deb, B. Li, S. Paul, A. Choudhury, D. Ray. (2017). “Rapid Assessment of Regional Soil Arsenic Pollution Risk via Diffuse Reflectance Spectroscopy”, Geoderma, Vol. 289: 72-81.link
48. V. Cardelli, D.C. Weindorf, S. Chakraborty, B. Li, M. DeFeudis, S. Cocco, A. Agnelli, A. Choudhury, D. Ray, and G. Corti. (2017). “Non-saturated soil organic horizon characterization via advanced proximal sensors”. Geoderma, Vol. 288: 130-142.link
49. D. Pearson, S. Chakraborty, B. Dudaa, B. Li, D.C. Weindorf, S. Deb, E. Brevik, D.P. Ray. (2017). “Water analysis via portable X-ray fluorescence spectrometry”, Journal of Hydrology, Vol. 544: 172–179.link
50. S. Chen, G. Bronevetsky, L. Peng, B. Li, and X. Fu. (2016). “Soft Error Resilience in Big Data Kernels through Modular Analysis,” The Journal of Supercomputing, Vol. 72(4): 1570–1596.link
51. D.C. Weindorf, S. Chakraborty, J. Herrero, B. Li, C. Castañeda, and A. Choudhury. (2016). “Simultaneous assessment of key properties of arid soil by combined PXRF and Vis–NIR data”, European Journal of Soil Science, Vol. 67: 173 - 183.link
52. D.C. Weindorf, S. Chakraborty, L. Paulette, E. Michéli, B. Li, T. Man. (2015). “Proximal Sensor Identification of Lithologic Discontinuities in Eastern Europe”, ProEnvironment, Vol. 8 176 - 185.pdf
53. D.C. Weindorf, S. Chakraborty, A. Aldabaa, L. Paulette, G. Corti, S. Cocco, E. Michéli, D. Wang, B. Li, T. Man, A. Sharma, and T. Person. (2015). “Lithologic discontinuity assessment in soils via portable x-ray fluorescence spectrometry and visible near-infrared diffuse reflectance spectroscopy”, Soil Science Society of America Journal, Vol. 79(6): 1704-1716.link
54. Y. Zhang, L. Duan, B. Li, L. Peng, S. Sadagopan. (2015). “Cross-architecture Prediction Based Scheduling for Energy Efficient Execution on Single-ISA Heterogeneous Chip-multiprocessors,” Journal of Microprocessors and Microsystems (Elsevier), Vol. 39(4-5): 271-285.DOI link
55. S.-M. Chen, L. Peng, Y. Hu, Z. Zhao, A. Srivastava, Y. Zhang, J. Choi, B. Li, and E. Song. (2015). “Powering Up Dark Silicon: Mitigating the Limitation of Power Delivery via Dynamic Pin Switching,” IEEE Transactions on Emerging Topics in Computing, Vol. 3(4): 489-501.link
56. S. Chen, G. Bronevetsky, B. Li, M. Casas, and L. Peng, (2015) “A Framework For Evaluating Comprehensive Fault Tolerance Mechanisms In Numerical Programs,” Journal of Supercomputing, Vol. 71: 2963-2984.link
57. S. Chakraborty, D.C. Weindorf, B. Li, A.A.A. Aldabaa, R.K. Gosh, S. Paul, and M.N. Ali. (2015). “Development of a hybrid proximal sensing method for rapid identification of petroleum contaminated soils”. Science of the Total Environment, Vol. 514:399-408.link
58. D. Wang, S. Chakraborty, D.C. Weindorf, B. Li, A. Sharma, S. Paul, and M.N. Ali. (2015). “Synthesized use of VisNIR DRS and PXRF for soil characterization: Total carbon and total nitrogen”. Geoderma, Vol. 243-244:157-167.link
59. A.A.A. Aldabaa, D.C. Weindorf, S. Chakraborty, A. Sharma, and B. Li. (2015). “Combination of proximal and remote sensing methods for rapid soil salinity quantification”. Geoderma, 239-240:34-46.link
60. Chakraborty, S., Weindorf, D.C., Paul, S. Ghosh, B. Li, B., Ali, M.N., Gosh, R.K., Ray, D.P. and Majumdar, K. (2015). “Diffuse reflectance spectroscopy for monitoring lead in landfill agricultural soils of India”. Geoderma Regional, Vol. 5:77-85.link
61. Yu, Q. and Li, B. (2014). “Regularization and Estimation in Regression with Cluster Variables”, Open Journal of Statistics, Vol.4, (10) page: 814-825.pdf
62. B. Li, S.-M. Chen, and L. Peng, “Precise Computer Performance Comparisons Via Statistical Resampling Methods,” Proceedings of The 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Philadelphia, PA. Mar. 2015.pdf
63. S. Chen, G. Bronevetsky , B. Li, M. Casas, and L. Peng, “Evaluating Application Resilience with XRay,” The 10th Workshop on Silicon Errors in Logic – System Effects (SELSE), Stanford University, CA, Apr. 2014.pdf
64. Y. Zhang, L. Duan, B. Li, L. Peng, and S. Sadagopan, “Energy efficient job scheduling in single-ISA heterogeneous chip-multiprocessors,” Proceedings of The 15th IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, Mar. 2014.pdf
65. S. Chakraborty, D.C. Weindorf, B. Li, M.N. Ali, K. Majumdar, D.P. Ray. (2014) “Analysis of petroleum contaminated soils by spectral modeling and pure response profile recovery of n-hexane”, Environmental Pollution, 190 page 10-18.pdf
66. Chakraborty, S., Das, B., Ali, M.N., Li, B., Sarathjith, M.C., Majumdar, K., Ray, D.P. (2014) “Rapid estimation of compost enzymatic activity by spectral analysis method combined with machine learning”, Waste Management, 34(3): page 623–631.pdf
67. L. Duan, Y. Zhang, B. Li, and L. Peng, “Comprehensive and Efficient Design Parameter Selection for Soft Error Resilient Processors via Universal Rules,” IEEE Transactions on Computers, Volume 63 , Issue 9, pages 2201 – 2214, Sep. 2014.pdf
68. Y. Zhang, L. Duan, B. Li, L. Peng, and X. Fu, “Design Configuration Selection for Hard-error Reliable Processors via Statistical Rules”, Journal of Microprocessors and Microsystems, 38(1), Feb. 2014, Pages 22–30.pdf
69. Chakraborty, S., Weindorf, D.C., Ali, M.N., Li, B., Ge, Y., and J.L. Darilek, (2013). “Spectral Data Mining for Rapid Measurement of Organic Matter in Unsieved Moist Compost.” Applied Optics, 52(4): 82-92.pdf
70. L. Duan, L. Peng, and B. Li, (2013). “Predicting Architectural Vulnerability on Multi-Threaded Processors under Resource Contention and Sharing,” IEEE Transactions on Dependable and Secure Computing, 10(2): 114-127.pdf
71. Wang, Y., Tuomilehto, J., Jousilahti, P., Salomaa, V., Li, B., Antikainen, R., Mähönen, M., Katzmarzyk, P.T. and Hu, G. (2013). “Serum gamma-glutamyltransferase and the risk of heart failure in men and women in Finland”, Heart, 99(3): 163-167.pdf
72. Barrera, W., Hoy, J. and Li, B. (2013). “Effects of Temperature and Moisture Variables on Brown Rust Epidemics in Sugarcane”. Journal of Phytopathology. Vol. 161(2): 98-106.pdf
73. Chakraborty, S., Weindorf, D.C., Zhu, Y., Li, B., Morgan, C.L.S., Ge, Y. and Galbraith, J. “Assessing spatial variability of soil petroleum contamination using visible near-infrared diffuse reflectance spectroscopy”. (2012). Journal of Environmental Monitoring. Vol. 14(11): 2886-92.pdf
74. McWhirt, A.L., D.C. Weindorf, S. Chakraborty, and B. Li. 2012. “Visible near infrared diffuse reflectance spectroscopy (VisNIR DRS) for rapid measurement of organic matter in compost”. Waste Management and Research. 30(10): 1049-1058.pdf
75. Q. Yu, B. Li, Z. Fang, and L. Peng, (2012). "Model Guided Adaptive Design and Analysis in Computer Experiment", Statistical Analysis and Data Mining, Vol. 5(5), 399–409.pdf
76. Chakraborty, S., Weindorf, D.C., Zhu, Y., Li, B., Morgan, C.L.S., Ge, Y. and Galbraith, J. (2012) “Spectral Reflectance Variability from Soil Physicochemical Properties in Oil Contaminated Soils.” Geoderma, 177-178: 80-89.pdf
77. Barrera, W., Hoy, J. and Li, B. (2012) “Effects of Temperature and Leaf Wetness on Infection of Sugarcane by Puccinia melanocephala.” Journal of Phytopathology. , Vol. 160(6): 294-298.pdf
78. Tang, Q., Wang, L., Li, B. and Yu, J. (2012) “Toward a Comprehensive Evaluation of VIS Sub-pixel Fractions and Land Surface Temperature for Urban Land Use Classification in the U.S.” International Journal of Remote Sensing. 33(19): 5996-6019.pdf
79. Y. Zhang, L. Duan, B. Li and L. Peng, “Optimal Microarchitectural Design Configuration Selection for Processor Hard-Error Reliability,” Proceedings of The 13th IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, Mar. 2012.pdf
80. Y. Zhang, Y. Hu, B. Li and L. Peng, “Performance and Power Analysis of ATI GPU: A Statistical Approach”, Proceedings of The 6th IEEE International Conference on Networking, Architecture, and Storage (NAS), Dalian, China, Jul. 2011.pdf
81. J. Chen, B. Li, Y. Zhang, L. Peng and J.-K. Peir, “Tree Structured Analysis on GPU Power Study,” Proceedings of The 29th IEEE International Conference on Computer Design (ICCD), Amherst, MA, Oct. 2011.pdf
82. L. Duan, L. Peng and B. Li, “Two-Level Soft Error Vulnerability Prediction on SMT/CMP Architectures,” Proceedings (short paper) of The 2011 IEEE International Symposium on Workload Characterization (IISWC), Austin, TX, Nov. 2011.pdf
83. Y. Zhang, L. Peng, B. Li, J.-K. Peir and J. Chen, “Architecture Comparisons between NVidia and ATI GPUs: Computational Parallelism and Data Communications,” Proceedings of The 2011 IEEE International Symposium on Workload Characterization (IISWC), Austin, TX, Nov. 2011.pdf
84. L. Duan, Y. Zhang, B. Li and L. Peng, (2011). "Universal Rules Guided Design Parameter Selection for Soft Error Resilient Processors," In Proceedings of The 2011 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Austin, TX, Apr. 2011.pdf
85. J. Chen, B. Li, Y. Zhang, L. Peng and J.-K. Peir, “Statistical GPU Power Analysis Using Tree-based Methods”, Proceedings of the Green Computing Conference and Workshops (IGCC), Orlando, FL, Jul. 2011.pdf
86. Marx. B.D., Eilers. P.H.C., and Li, B. (2011). Multidimensional single-index signal regression. Proceedings of the 26th International Workshop on Statistical Modeling (IWSM 2011), Valencia, Spain. Eds. Armero et al.pdf
87. Marx, B., Eilers, P. and Li, B. (2011) “Multidimensional single-index signal regression.” Chemometrics and Intelligent Lab Systems, 109(2): 120-130.pdf
88. Li, B., Sanderlin R, Melanson R and Yu, Q. (2011) “Spatio-Temporal Analysis of A Plant Disease in A Non-uniform Crop: A Monte Carlo Approach”. Journal of Applied Statistics, Vol. 38(1): 175-182.pdf
89. Curtis, A., Li, B., Marx, B., Pine, J. and Mills, J. (2011) “A Multiple Additive Regression Tree Analysis of Three Exposure Measures during Hurricane Katrina: Implications for Recovery in Orleans Parish”. The Journal of Disaster Studies, Policy and Management, Vol. 35(1), 19-35.pdf
90. Chakraborty, S., Weindorf, D.C., Morgan, C.L.S., Ge, Y., Galbraith, J., Li, B. and Kahlon, C.S. (2010) “Rapid, On-site Identification of Oil Contaminated Soils using Visible Near-Infrared Diffuse Reflectance Spectroscopy”. Journal of Environmental Quality, Vol. 39(4): 1378-1387.pdf
91. R. Tao, L. Yang, L. Peng and B. Li. (2010). “A Host-Based Intrusion Detection System Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections,” International Journal of Information Security and Privacy, Vol. 4(1): 18-31, Jan.-Mar. 2010.pdf
92. Oard, Svetalana; Enright, Frederick; Li, Bin. (2010). “Structural changes induced in thionins by chloride anions as determined by molecular dynamics simulations”. Biophysical Chemistry, Vol. 147: 42-52.pdf
93. Yu, Q., Li, B., Fang, Z. and Peng, L. (2010). An adaptive sampling scheme guided by BART - with an application to predict processor performance. The Canadian Journal of Statistics, Vol. 38: 136-152.pdf
94. B. Li., L. Duan., and L. Peng. “Efficient Microarchitectural Vulnerabilities Prediction Using Boosted Regression Trees and Patient Rule Inductions”. IEEE Transactions on Computers, Special Issue on System Level Design of Reliable Architectures, Vol. 59(5), pp. 593-607, May, 2010.pdf
95. B. Li, L. Peng and B. Ramadass. (2009) “Accurate and Efficient Processor Performance Prediction via Regression Tree Based Modeling”. Journal of Systems Architecture, Vol. 55, 457-467.pdf
96. Li, B., Bakshi, B.R. and Goel, P. (2009) “Computationally Intensive Nonlinear Regression Methods”, in Brown, S., Tauler, R., Walczak, B. (eds.) Comprehensive Chemometrics: Chemical and Biochemical Data Analysis (1st Ed.), Elsevier, pp. 463–476.
97. Li, B. and Yu, Q. (2009). “Robust and Sparse Bridge Regression”. Statistics and Its Interface. Vol. 2: 481-491.pdf
98. Yu, Q., Li, B. and Scribner, R. (2009). “Hierarchical Additive Modeling of Nonlinear Association with Spatial Correlations - An Application to Relate Alcohol Outlet Destruction and Changes in Neighborhood Rates of Assaultive Violence”. Statistics in Medicine. Vol. 28: 1896-1912.pdf
99. P. Eilers, B. Li and B. Marx, (2009). “Multivariate Calibration with Single-Index Signal Regression”. Chemometrics and Intelligent Laboratory Systems, 96: 196-202.pdf
100. Xu, J., Chen, J. and Li, B., (2009). “Random Forest for Relational Classification with Application for Terrorist Profiling”. Proceeding of the Eighteenth International Symposium on Methodologies for Intelligent Systems (ISMIS'09).pdf
101. L. Duan, B. Li and L. Peng. “Versatile Prediction and Fast Estimation of Architectural Vulnerability Factor from Processor Performance Metrics”. Proceedings of the 15th IEEE International Symposium on High Performance Computer Architecture (HPCA 2009), Raleigh, NC, Feb. 2009: 129-140.pdf
102. R. Tao, L. Yang, L. Peng, B. Li and A. Cemerlic, “A Case Study: Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections,” Proceeding of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, Nashville, TN, Mar. 2009.pdf
103. B. Li, L. Peng and B. Ramadass, “Efficient MART-Aided Modeling for Microarchitecture Design Space Exploration and Performance Prediction,” (extended abstract), Proceedings of 2008 ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2008), Annapolis, MD, Jun. 2008: 439-440.pdf
104. Li, B. and Yu, Q. (2008). Classification of Functional Data: A Segmentation Approach. Computational Statistics and Data Analysis, 52(10): 4790-4800.pdf
105. Yu, Q. Stasny, E.A. and Li, B. (2008). Bayesian Models to Adjust for Response Bias in Survey Data: An Example in Estimating Rape and Domestic Violence Rates from the NCVS. Annals of Applied Statistics, 2: 665-686.pdf
106. Li, B. and Marx, B. (2008). Sharpening P-spline Signal Regression. Statistical Modelling: An International Journal, 4: 367-384.pdf
107. Li, B. and Goel, P.K. (2007). Additive Regression Trees and Smoothing Splines - Predictive Modeling and Interpretation in Data Mining. Contemporary Mathematics, Vol: 443: 83-101.pdf
108. Li, B. and Goel, P.K. (2006). Regularized Optimization in Statistical Learning: A Bayesian Perspective. Statistica Sinica, 16: 411-424.pdf
109. Matkovic V, Goel P, Badenhop-Stevens NE, Landoll JD, Li B., Ilich J, Skugor M, Nagode L, Mobley S, Eun-Yeong H, Hangartner T, Clairmont A, Calcium Supplementation and Bone Mineral Density in Females from Childhood to Young Adulthood: A Randomized Controlled Trial. American Journal of Clinical Nutrition. 81: 175-188, 2005.pdf
110. Matkovic V, Landoll JD, Badenhop-Stevens NE, Ha EY, Crncevic-Orlic Z, Li B., Goel P. Nutrition Influences Skeletal Development from Childhood to Adulthood: a Study of Hip, Spine, and Forearm in Adolescent Females. The Journal of Nutrition. Vol. 134 (3): 701-705, 2004.pdf
111. Smiraglia DJ, Rush LJ, Fruhwald MC, Dai Z, Held WA, Costello JF, Lang JC, Eng C, Li B, Wright FA, Caligiuri MA, Plass C. Excessive CpG Island Hypermethylation in Cancer Cell Lines Versus Primary Human Malignancies. Human Molecular Genetics. Vol. 10 (13): 1413-1419, 2001.pdf
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