Mathematics : Publications since January 2018
List all publications in the database. :chronological alphabetical combined bibtex listing:
Agarwal, Pankaj K.
 Lowe, A; Agarwal, PK, Floodrisk analysis on terrains under the multiflowdirection model,
Gis: Proceedings of the Acm International Symposium on Advances in Geographic Information Systems
(November, 2018),
pp. 5362, ACM Press, ISBN 9781450358897 [doi] [abs]
 Agarwal, PK; Kyle, FOX; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Acm Transactions on Algorithms, vol. 14 no. 4
(August, 2018),
pp. 121, Association for Computing Machinery (ACM) [doi] [abs]
 Agarwal, PK; Kaplan, H; Sharir, M, Union of hypercubes and 3D minkowski sums with random sizes,
Leibniz International Proceedings in Informatics, Lipics, vol. 107
(July, 2018), ISBN 9783959770767 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Journal of Computer and System Sciences, vol. 94
(June, 2018),
pp. 118134, Elsevier BV [doi] [abs]
 Agarwal, PK; Arge, L; Staals, F, Improved dynamic geodesic nearest neighbor searching in a simple polygon,
Leibniz International Proceedings in Informatics, Lipics, vol. 99
(June, 2018),
pp. 41414 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Computing shortest paths in the plane with removable obstacles,
Leibniz International Proceedings in Informatics, Lipics, vol. 101
(June, 2018),
pp. 51515, ISBN 9783959770682 [doi] [abs]
 Agarwal, PK; Kyle, FOX; Nath, A; Sidiropoulos, A; Wang, Y, Computing the gromovhausdorff distance for metric trees,
Acm Transactions on Algorithms, vol. 14 no. 2
(June, 2018),
pp. 120, Association for Computing Machinery (ACM) [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A; Pan, J; Taylor, E, Subtrajectory clustering: Models and algorithms,
Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems
(May, 2018),
pp. 7587, ACM Press, ISBN 9781450347068 [doi] [abs]
 Agarwal, PK; Fox, K; Nath, A, Maintaining reeb graphs of triangulated 2manifolds,
Leibniz International Proceedings in Informatics, Lipics, vol. 93
(January, 2018), ISBN 9783959770552 [doi] [abs]
Arlotto, Alessandro
 Arlotto, A; Wei, Y; Xie, X, An adaptive O(log n)optimal policy for the online selection of a monotone subsequence from a random sample,
Random Structures & Algorithms, vol. 52 no. 1
(January, 2018),
pp. 4153, WILEY [doi] [abs]
 Arlotto, A; Xie, X, Logarithmic regret in the dynamic and stochastic knapsack problem.,
Corr, vol. abs/1809.02016
(2018)
 Arlotto, A; Frazelle, AE; Wei, Y, Strategic open routing in service networks,
Management Science
(2018), INFORMS
 Arlotto, A; Steele, JM, A central limit theorem for costs in Bulinskaya’s inventory management problem when deliveries face delays,
Methodology and Computing in Applied Probability, vol. 20 no. 3
(2018),
pp. 839854 [doi] [abs]
Autry, Eric A.
 Autry, EA; Bayliss, A; Volpert, VA, Biological control with nonlocal interactions,
Mathematical Biosciences, vol. 301
(July, 2018),
pp. 129146 [doi]
Beale, J. Thomas
 Beale, JT; Ying, W, Solution of the Dirichlet problem by a finite difference analog of the boundary integral equation,
Numerische Mathematik
(January, 2018) [doi] [abs]
Beckman, Erin M.
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018) [doi] [abs]
Bendich, Paul L
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, IEEE, ISBN 9781538620144 [doi] [abs]
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric crossmodal comparison of heterogeneous sensor data,
2018 Ieee Aerospace Conference
(March, 2018), IEEE [doi] [abs]
Bertozzi, Andrea L
 J. B. Greer and A. L. Bertozzi, H1 solutions of a class of fourth order nonlinear equations for image processing,
Discrete And Continuous Dynamical Systems, vol. 10 no. 12
(2004),
pp. 349  366
Bray, Hubert
 Sormani, C; Bray, HL; Minicozzi, WP; Eichmair, M; Huang, LH; Yau, ST; Uhlenbeck, K; Kusner, R; Codá marques, F; Mese, C; Fraser, A, The Mathematics of Richard Schoen,
Notices of the American Mathematical Society, vol. 65 no. 11
(December, 2018),
pp. 11, American Mathematical Society (AMS) [doi]
 Bray, H; Roesch, H, Proof of a Null Geometry Penrose Conjecture,
Notices of the American Mathematical Society., vol. 65
(February, 2018), American Mathematical Society
Calderbank, Robert
 Thompson, A; Calderbank, R, Sparse nearequiangular tight frames with applications in full duplex wireless communication,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 868872, IEEE, ISBN 9781509059904 [doi] [abs]
Cao, Yu
 Cao, Y; Lu, J, Stochastic dynamical lowrank approximation method,
Journal of Computational Physics, vol. 372
(November, 2018),
pp. 564586, Elsevier BV [doi] [abs]
Cheng, Xiuyuan
 Cheng, X; Rachh, M; Steinerberger, S, On the diffusion geometry of graph Laplacians and applications,
Applied and Computational Harmonic Analysis
(April, 2018), Elsevier BV [doi]
 Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection,
Journal of Number Theory, vol. 185
(April, 2018),
pp. 4864, Elsevier BV [doi]
 Qiu, Q; Cheng, X; Calderbank, AR; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters., edited by Dy, JG; Krause, A,
Icml, vol. 80
(2018),
pp. 41954204, JMLR.org
Dasgupta, Samit
 Dasgupta, S; Voight, J, Sylvester’s problem and mock Heegner points,
Proceedings of the American Mathematical Society, vol. 146 no. 8
(March, 2018),
pp. 32573273, American Mathematical Society (AMS) [doi]
 Dasgupta, S; Spieß, M, Partial zeta values, Gross's tower of fields conjecture, and GrossStark units,
Journal of the European Mathematical Society, vol. 20 no. 11
(January, 2018),
pp. 26432683, European Mathematical Publishing House [doi] [abs]
 Samit Dasgupta, ; Mahesh Kakde, ; Kevin Ventullo,, On the Gross–Stark Conjecture,
Annals of Mathematics, vol. 188 no. 3
(2018),
pp. 833833, Annals of Mathematics, Princeton U [doi] [abs]
Daubechies, Ingrid
 Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal,
Methods in Ecology and Evolution
(January, 2019) [doi] [abs]
 Yin, R; Daubechies, I, Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling,
Journal of Fourier Analysis and Applications, vol. 24 no. 3
(June, 2018),
pp. 872907, Springer Nature [doi] [abs]
 Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.,
Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4
(April, 2018),
pp. 636658 [doi] [abs]
 Xu, J; Yang, H; Daubechies, I, Recursive DiffeomorphismBased Regression for Shape Functions,
Siam Journal on Mathematical Analysis, vol. 50 no. 1
(January, 2018),
pp. 532, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions,
Foundations of Computational Mathematics
(January, 2018), Springer Nature America, Inc [doi] [abs]
Dolbow, John E.
 Liu, Y; Peco, C; Dolbow, J, A fully coupled mixed finite element method for surfactants spreading on thin liquid films,
Computer Methods in Applied Mechanics and Engineering, vol. 345
(March, 2019),
pp. 429453, Elsevier BV [doi]
 Asareh, I; Kim, TY; Song, JH; Dolbow, JE, Corrigendum to “A linear complete extended finite element method for dynamic fracture simulation with nonnodal enrichments” [Finite Elem. Anal. Des. 152, 2018](S0168874X18305080)(10.1016/j.finel.2018.09.002),
Finite Elements in Analysis and Design
(January, 2019) [doi] [abs]
 Peco, C; Liu, Y; Rhea, C; Dolbow, JE, Models and simulations of surfactantdriven fracture in particle rafts,
International Journal of Solids and Structures, vol. 156157
(January, 2019),
pp. 194209, Elsevier BV [doi] [abs]
 Geelen, RJM; Liu, Y; Dolbow, JE; RodríguezFerran, A, An optimizationbased phasefield method for continuousdiscontinuous crack propagation,
International Journal for Numerical Methods in Engineering, vol. 116 no. 1
(October, 2018),
pp. 120, WILEY [doi] [abs]
 Zhang, Z; Jiang, W; Dolbow, JE; Spencer, BW, A modified momentfitted integration scheme for XFEM applications with historydependent material data,
Computational Mechanics, vol. 62 no. 2
(August, 2018),
pp. 233252, Springer Nature [doi] [abs]
Dunson, David B.
(search)
 Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax,
Journal of the American Statistical Association, vol. 113 no. 524
(October, 2018),
pp. 15151527, Informa UK Limited [doi] [abs]
 Zhao, S; Engelhardt, BE; Mukherjee, S; Dunson, DB, Fast Moment Estimation for Generalized Latent Dirichlet Models,
Journal of the American Statistical Association, vol. 113 no. 524
(October, 2018),
pp. 15281540 [doi] [abs]
 Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration,
Journal of Machine Learning Research, vol. 19
(October, 2018) [abs]
 Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space,
Journal of Machine Learning Research, vol. 19
(August, 2018),
pp. 135 [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering,
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 27 no. 3
(July, 2018),
pp. 657672, Informa UK Limited [doi]
 van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extremaweighted feature extraction for functional data.,
Bioinformatics (Oxford, England), vol. 34 no. 14
(July, 2018),
pp. 24572464 [doi] [abs]
 Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian MultiPlate HighThroughput Screening of Compounds.,
Scientific Reports, vol. 8 no. 1
(June, 2018),
pp. 9551 [doi] [abs]
 Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment.,
Biometrics
(June, 2018) [doi] [abs]
 Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431446 [doi] [abs]
 Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics & Probability Letters, vol. 136
(May, 2018),
pp. 49, Elsevier BV [doi] [abs]
 Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping populationbased structural connectomes.,
Neuroimage, vol. 172
(May, 2018),
pp. 130145 [doi] [abs]
 van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, GO; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.,
Diabetes Care, vol. 41 no. 4
(April, 2018),
pp. 782788 [doi] [abs]
 Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from twophoton imaging data.,
Plos One, vol. 13 no. 5
(January, 2018),
pp. e0196527 [doi] [abs]
 Miller, JW; Dunson, DB, Robust Bayesian Inference via Coarsening,
Journal of the American Statistical Association
(January, 2018),
pp. 113, Informa UK Limited [doi] [abs]
 Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data,
Journal of the American Statistical Association
(January, 2018) [doi] [abs]
 Durante, D; Dunson, DB, Bayesian inference and testing of group differences in brain networks,
Bayesian Analysis, vol. 13 no. 1
(January, 2018),
pp. 2958, Institute of Mathematical Statistics [doi] [abs]
Durrett, Richard T.
 Ma, R; Durrett, R, A simple evolutionary game arising from the study of the role of igfII in pancreatic cancer,
The Annals of Applied Probability, vol. 28 no. 5
(October, 2018),
pp. 28962921, Institute of Mathematical Statistics [doi] [abs]
 Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games.,
Journal of Mathematical Biology
(July, 2018) [doi] [abs]
 Talkington, A; Dantoin, C; Durrett, R, Ordinary Differential Equation Models for Adoptive Immunotherapy.,
Bulletin of Mathematical Biology, vol. 80 no. 5
(May, 2018),
pp. 10591083 [doi] [abs]
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications, vol. 128 no. 5
(May, 2018),
pp. 15901614, Elsevier BV [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Basak, A; Durrett, R; Foxall, E, Diffusion limit for the partner model at the critical value,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018),
pp. 110, Institute of Mathematical Statistics [doi] [abs]
Dym, Nadav
 Dym, N; Slutsky, R; Lipman, Y, Linear variational principle for Riemann mappings and discrete conformality.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 116 no. 3
(January, 2019),
pp. 732737 [doi] [abs]
 Lazar, R; Dym, N; Kushinsky, Y; Huang, Z; Ju, T; Lipman, Y, Robust optimization for topological surface reconstruction,
Acm Transactions on Graphics, vol. 37 no. 4
(January, 2018),
pp. 110, Association for Computing Machinery (ACM) [doi] [abs]
Freeman, Daniel
 Freeman, D; Odell, E; Sarı, B; Zheng, B, On spreading sequences and asymptotic structures,
Transactions of the American Mathematical Society, vol. 370 no. 10
(April, 2018),
pp. 69336953, American Mathematical Society (AMS) [doi]
Getz, Jayce R.
 Getz, JR, Secondary terms in asymptotics for the number of zeros of quadratic forms over number fields,
Journal of the London Mathematical Society, vol. 98 no. 2
(October, 2018),
pp. 275305, WILEY [doi] [abs]
 Getz, JR, Nonabelian fourier transforms for spherical representations,
Pacific Journal of Mathematics, vol. 294 no. 2
(January, 2018),
pp. 351373, Mathematical Sciences Publishers [doi] [abs]
Hahn, Heekyoung
 Hahn, H; Huh, J; Lim, E; Sohn, J, From partition identities to a combinatorial approach to explicit Satake inversions,
Annals of Combinatorics, vol. 22
(June, 2018),
pp. 543562, Springer Verlag [doi]
Hain, Richard
(search)
 Brown, F; Hain, R, Algebraic de Rham theory for weakly holomorphic modular forms of level one,
Algebra & Number Theory, vol. 12 no. 3
(2018),
pp. 723750 [doi]
Harer, John
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, IEEE, ISBN 9781538620144 [doi] [abs]
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric crossmodal comparison of heterogeneous sensor data,
2018 Ieee Aerospace Conference
(March, 2018), IEEE [doi] [abs]
He, Siming
 He, S, Suppression of blowup in parabolic–parabolic Patlak–Keller–Segel via strictly monotone shear flows,
Nonlinearity, vol. 31 no. 8
(August, 2018),
pp. 36513688, IOP Publishing [doi]
 He, S; Tadmor, E, Suppressing Chemotactic BlowUp Through a Fast Splitting Scenario on the Plane,
Archive for Rational Mechanics and Analysis
(January, 2018), Springer Nature America, Inc [doi] [abs]
Herschlag, Gregory J.
 Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method,
Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018
(August, 2018),
pp. 825834, IEEE, ISBN 9781538643686 [doi] [abs]
Huo, Ran
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications, vol. 128 no. 5
(May, 2018),
pp. 15901614, Elsevier BV [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
Junge, Matthew S
 Brito, G; Fowler, C; Junge, M; Levy, A, Ewens Sampling and Invariable Generation,
Combinatorics, Probability and Computing, vol. 27 no. 6
(November, 2018),
pp. 853891, Cambridge University Press (CUP) [doi] [abs]
 Johnson, T; Junge, M, Stochastic orders and the frog model,
Annales De L'Institut Henri Poincaré, Probabilités Et Statistiques, vol. 54 no. 2
(May, 2018),
pp. 10131030, Institute of Mathematical Statistics [doi]
 Foxall, E; Hutchcroft, T; Junge, M, Coalescing random walk on unimodular graphs,
Electronic Communications in Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
Kiselev, Alexander A.
 Kiselev, A; Li, C, Global regularity and fast smallscale formation for Euler patch equation in a smooth domain,
Communications in Partial Differential Equations
(January, 2019) [doi] [abs]
 Do, T; Kiselev, A; Xu, X, Stability of Blowup for a 1D Model of Axisymmetric 3D Euler Equation,
Journal of Nonlinear Science, vol. 28 no. 6
(December, 2018),
pp. 21272152, Springer Nature America, Inc [doi] [abs]
 Kiselev, A, Special Issue Editorial: Small Scales and Singularity Formation in Fluid Dynamics,
Journal of Nonlinear Science, vol. 28 no. 6
(December, 2018),
pp. 20472050, Springer Nature America, Inc [doi]
 Do, T; Kiselev, A; Ryzhik, L; Tan, C, Global Regularity for the Fractional Euler Alignment System,
Archive for Rational Mechanics and Analysis, vol. 228 no. 1
(April, 2018),
pp. 137, Springer Nature [doi] [abs]
 Kiselev, A; Tan, C, Finite time blow up in the hyperbolic Boussinesq system,
Advances in Mathematics, vol. 325
(February, 2018),
pp. 3455, Elsevier BV [doi] [abs]
 Kiselev, A; Tan, C, Global regularity for 1D eulerian dynamics with singular interaction forces,
Siam Journal on Mathematical Analysis, vol. 50 no. 6
(January, 2018),
pp. 62086229, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
Layton, Anita T.
 Layton, AT; Sullivan, JC, Recent advances in sex differences in kidney function.,
American Journal of Physiology. Renal Physiology, vol. 316 no. 2
(February, 2019),
pp. F328F331 [doi]
 Li, Q; McDonough, AA; Layton, HE; Layton, AT, Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 315 no. 3
(September, 2018),
pp. F692F700 [doi] [abs]
 Wei, N; Gumz, ML; Layton, AT, Predicted effect of circadian clock modulation of NHE3 of a proximal tubule cell on sodium transport.,
American Journal of Physiology. Renal Physiology, vol. 315 no. 3
(September, 2018),
pp. F665F676 [doi] [abs]
 Layton, AT; Vallon, V, Renal tubular solute transport and oxygen consumption: insights from computational models.,
Current Opinion in Nephrology and Hypertension, vol. 27 no. 5
(September, 2018),
pp. 384389 [doi] [abs]
 Layton, AT, Optimizing SGLT inhibitor treatment for diabetes with chronic kidney diseases,
Biological Cybernetics
(June, 2018),
pp. 110 [doi] [abs]
 Layton, AT, Sweet success? SGLT2 inhibitors and diabetes.,
American Journal of Physiology. Renal Physiology, vol. 314 no. 6
(June, 2018),
pp. F1034F1035 [doi]
 Layton, AT; Vallon, V, SGLT2 inhibition in a kidney with reduced nephron number: modeling and analysis of solute transport and metabolism.,
American Journal of Physiology. Renal Physiology, vol. 314 no. 5
(May, 2018),
pp. F969F984 [doi] [abs]
 Leete, J; Gurley, S; Layton, A, Modeling Sex Differences in the Renin Angiotensin System and the Efficacy of Antihypertensive Therapies.,
Computers & Chemical Engineering, vol. 112
(April, 2018),
pp. 253264, Elsevier BV [doi] [abs]
 Layton, AT; Edwards, A; Vallon, V, Renal potassium handling in rats with subtotal nephrectomy: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 314 no. 4
(April, 2018),
pp. F643F657 [doi] [abs]
 Layton, AT; Vallon, V, Cardiovascular benefits of SGLT2 inhibition in diabetes and chronic kidney diseases.,
Acta Physiologica, vol. 222 no. 4
(April, 2018),
pp. e13050 [doi]
 Wei, N; Layton, AT, Theoretical assessment of the Ca 2 + oscillations in the afferent arteriole smooth muscle cell of the rat kidney,
International Journal of Biomathematics, vol. 11 no. 3
(April, 2018),
pp. 18500431850043, World Scientific Pub Co Pte Lt [doi] [abs]
Layton, Harold
 Li, Q; McDonough, AA; Layton, HE; Layton, AT, Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 315 no. 3
(September, 2018),
pp. F692F700 [doi] [abs]
Leete, Jessica C.
 Leete, J; Layton, AT, Sexspecific longterm blood pressure regulation: Modeling and analysis.,
Computers in Biology and Medicine, vol. 104
(January, 2019),
pp. 139148 [doi] [abs]
Levine, Adam S.
 Levine, AS; Ruberman, D, Heegaard Floer invariants in codimension one,
Transactions of the American Mathematical Society
(2018),
pp. 11, American Mathematical Society (AMS) [doi]
Li, Didong
 D. Li, Minerva Mukhopadhyay and David Dunson, Efficient Manifold and Subspace Approximations with Spherelets
(2018) [https://arxiv.org/abs/1706.08263]
Li, Yingzhou
 Li, Y; Yang, H; Ying, L, Multidimensional butterfly factorization,
Applied and Computational Harmonic Analysis, vol. 44 no. 3
(May, 2018),
pp. 737758, Elsevier BV [doi]
 Wang, R; Li, Y; Darve, E, On the Numerical Rank of Radial Basis Function Kernels in High Dimensions,
Siam Journal on Matrix Analysis and Applications, vol. 39 no. 4
(January, 2018),
pp. 18101835, Society for Industrial & Applied Mathematics (SIAM) [doi]
Liu, JianGuo
 Lafata, KJ; Hong, JC; Geng, R; Ackerson, BG; Liu, JG; Zhou, Z; Torok, J; Kelsey, CR; Yin, FF, Association of pretreatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy.,
Physics in Medicine and Biology, vol. 64 no. 2
(January, 2019),
pp. 025007 [doi] [abs]
 Gao, Y; Ji, H; Liu, JG; Witelski, TP, A vicinal surface model for epitaxial growth with logarithmic free energy,
Discrete and Continuous Dynamical Systems Series B, vol. 23 no. 10
(December, 2018),
pp. 44334453, American Institute of Mathematical Sciences (AIMS) [doi] [abs]
 Feng, Y; Li, L; Liu, JG; Xu, X, Continuous and discrete one dimensional autonomous fractional odes,
Discrete and Continuous Dynamical Systems Series B, vol. 23 no. 8
(October, 2018),
pp. 31093135, American Institute of Mathematical Sciences (AIMS) [doi] [abs]
 Feng, Y; Li, L; Liu, JG; Xu, X, A note on onedimensional time fractional ODEs,
Applied Mathematics Letters, vol. 83
(September, 2018),
pp. 8794, Elsevier BV [doi] [abs]
 Li, L; Liu, JG; Wang, L, Cauchy problems for Keller–Segel type time–space fractional diffusion equation,
Journal of Differential Equations, vol. 265 no. 3
(August, 2018),
pp. 10441096, Elsevier BV [doi] [abs]
 Liu, JG; Tang, M; Wang, L; Zhou, Z, An accurate front capturing scheme for tumor growth models with a free boundary limit,
Journal of Computational Physics, vol. 364
(July, 2018),
pp. 7394, Elsevier BV [doi] [abs]
 Chen, K; Li, Q; Liu, JG, Online learning in optical tomography: a stochastic approach,
Inverse Problems, vol. 34 no. 7
(July, 2018),
pp. 075010075010, IOP Publishing [doi]
 Liu, JG; Xu, X, Partial regularity of weak solutions to a PDE system with cubic nonlinearity,
Journal of Differential Equations, vol. 264 no. 8
(April, 2018),
pp. 54895526, Elsevier BV [doi] [abs]
 Gao, Y; Liu, JG; Lu, XY; Xu, X, Maximal monotone operator theory and its applications to thin film equation in epitaxial growth on vicinal surface,
Calculus of Variations and Partial Differential Equations, vol. 57 no. 2
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