Mathematics Faculty: Publications since January 2019
List all publications in the database. :chronological alphabetical combined bibtex listing:
Agarwal, Pankaj K.
 Agarwal, PK; Pan, J, NearLinear Algorithms for Geometric Hitting Sets and Set Covers,
Discrete & Computational Geometry, vol. 63 no. 2
(March, 2020),
pp. 460482 [doi] [abs]
 Lowe, A; Agarwal, PK, Floodrisk analysis on terrains under the multiflowdirection model,
Acm Transactions on Spatial Algorithms and Systems, vol. 5 no. 4
(September, 2019) [doi] [abs]
 Agarwal, PK; Chang, HC; Xiao, A, Efficient algorithms for geometric partial matching,
Leibniz International Proceedings in Informatics, Lipics, vol. 129
(June, 2019), ISBN 9783959771047 [doi] [abs]
 Agarwal, PK; Aronov, B; Ezra, E; Zahl, J, An efficient algorithm for generalized polynomial partitioning and its applications,
Leibniz International Proceedings in Informatics, Lipics, vol. 129
(June, 2019), ISBN 9783959771047 [doi] [abs]
 Agarwal, PK; Cohen, R; Halperin, D; Mulzer, W, Maintaining the union of unit discs under insertions with nearoptimal overhead,
Leibniz International Proceedings in Informatics, Lipics, vol. 129
(June, 2019), ISBN 9783959771047 [doi] [abs]
 Rav, M; Lowe, A; Agarwal, PK, Flood risk analysis on terrains,
Acm Transactions on Spatial Algorithms and Systems, vol. 5 no. 1
(May, 2019) [doi] [abs]
Agazzi, Andrea
 Li, L; Krznar, P; Erban, A; Agazzi, A; MartinLevilain, J; Supale, S; Kopka, J; Zamboni, N; Maechler, P, Metabolomics Identifies a Biomarker Revealing In Vivo Loss of Functional βCell Mass Before Diabetes Onset.,
Diabetes, vol. 68 no. 12
(December, 2019),
pp. 22722286 [doi] [abs]
Akin, Victoria S
 Akin, V, An algebraic characterization of the pointpushing subgroup,
Journal of Algebra, vol. 541
(January, 2020),
pp. 98125 [doi] [abs]
Autry, Eric A.
 Clifton, SM; Hill, K; Karamchandani, AJ; Autry, EA; McMahon, P; Sun, G, Mathematical model of gender bias and homophily in professional hierarchies.,
Chaos (Woodbury, N.Y.), vol. 29 no. 2
(February, 2019),
pp. 023135 [doi] [abs]
Beale, J. Thomas
 Beale, JT, Solving partial differential equations on closed surfaces with planar cartesian grids,
Siam Journal on Scientific Computing, vol. 42 no. 2
(January, 2020),
pp. A1052A1070 [doi] [abs]
 Tlupova, S; Beale, JT, Regularized single and double layer integrals in 3D Stokes flow,
Journal of Computational Physics, vol. 386
(June, 2019),
pp. 568584 [doi] [abs]
 Beale, JT; Ying, W, Solution of the Dirichlet problem by a finite difference analog of the boundary integral equation,
Numerische Mathematik, vol. 141 no. 3
(March, 2019),
pp. 605626 [doi] [abs]
Bendich, Paul L
 Bendich, P; Bubenik, P; Wagner, A, Stabilizing the unstable output of persistent homology computations,
Journal of Applied and Computational Topology
(November, 2019),
pp. 130, SPRINGER [abs]
 Tralie, CJ; Bendich, P; Harer, J, MultiScale Geometric Summaries for SimilarityBased Sensor Fusion,
Ieee Aerospace Conference Proceedings, vol. 2019March
(March, 2019), ISBN 9781538668542 [doi] [abs]
 Bendich, P, Topology, geometry, and machinelearning for tracking and sensor fusion,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 11017
(January, 2019),
pp. lxxxiiicii, ISBN 9781510627017
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
 Bray, H; Hamm, B; Hirsch, S; Wheeler, J; Zhang, Y, Flatly foliated relativity,
Pure and Applied Mathematics Quarterly, vol. 15 no. 2
(January, 2019),
pp. 707747, International Press of Boston [doi] [abs]
Bryant, Robert
(search)
 Bryant, RL; Clelland, JN, Flat metrics with a prescribed derived coframing,
Symmetry, Integrability and Geometry: Methods and Applications, vol. 16
(January, 2020) [doi] [abs]
 Bryant, RL; Eastwood, MG; Gover, AR; Neusser, K, Some differential complexes within and beyond parabolic geometry,
Advanced Studies in Pure Mathematics, vol. 82 no. Differential Geometry and Tanaka Theory
(November, 2019),
pp. 1340, Mathematical Society of Japan [abs]
 Bryant, R; Buckmire, R; Khadjavi, L; Lind, D, The origins of spectra, an organization for LGBT mathematicians,
Notices of the American Mathematical Society, vol. 66 no. 6
(June, 2019),
pp. 875882 [doi]
Calderbank, Robert
 Beirami, A; Calderbank, R; Christiansen, MM; Duffy, KR; Medard, M, A Characterization of Guesswork on Swiftly Tilting Curves,
Ieee Transactions on Information Theory, vol. 65 no. 5
(May, 2019),
pp. 28502871 [doi] [abs]
 Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, MultiScale Spectrum Sensing in Dense MultiCell Cognitive Networks,
Ieee Transactions on Communications, vol. 67 no. 4
(April, 2019),
pp. 26732688 [doi] [abs]
 Vahid, A; Calderbank, R, Throughput region of spatially correlated interference packet networks,
Ieee Transactions on Information Theory, vol. 65 no. 2
(February, 2019),
pp. 12201235 [doi] [abs]
Cheng, Cheng
 Cheng, C; Jiang, Y; Sun, Q, Spatially distributed sampling and reconstruction,
Applied and Computational Harmonic Analysis, vol. 47 no. 1
(July, 2019),
pp. 109148, Elsevier BV [doi] [abs]
Cheng, Xiuyuan
 Cheng, X; Cloninger, A; Coifman, RR, Twosample statistics based on anisotropic kernels,
Information and Inference
(December, 2019), Oxford University Press (OUP) [doi] [abs]
 Cheng, X; Rachh, M; Steinerberger, S, On the diffusion geometry of graph Laplacians and applications,
Applied and Computational Harmonic Analysis, vol. 46 no. 3
(May, 2019),
pp. 674688, Elsevier BV [doi]
 Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RoTDCF: Decomposition of convolutional filters for rotationequivariant deep networks,
7th International Conference on Learning Representations, Iclr 2019
(January, 2019) [abs]
Dasgupta, Samit
 Dasgupta, S; Spiess, M, On the characteristic polynomial of the gross regulator matrix,
Transactions of the American Mathematical Society, vol. 372 no. 2
(January, 2019),
pp. 803827 [doi] [abs]
Daubechies, Ingrid
 Sabetsarvestani, Z; Sober, B; Higgitt, C; Daubechies, I; Rodrigues, MRD, Artificial intelligence for art investigation: Meeting the challenge of separating xray images of the Ghent Altarpiece.,
Science Advances, vol. 5 no. 8
(August, 2019),
pp. eaaw7416 [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions,
Foundations of Computational Mathematics, vol. 19 no. 4
(August, 2019),
pp. 869900, Springer Nature America, Inc [doi] [abs]
 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, vol. 10 no. 4
(April, 2019),
pp. 541552 [doi] [abs]
Ding, Xiucai
 Ding, X, High dimensional deformed rectangular matrices with applications in matrix denoising,
Bernoulli, vol. 26 no. 1
(February, 2020),
pp. 387417, Bernoulli Society for Mathematical Statistics and Probability [doi]
 Ding, X, Singular vector distribution of sample covariance matrices,
Advances in Applied Probability, vol. 51 no. 01
(March, 2019),
pp. 236267, Cambridge University Press (CUP) [doi] [abs]
Dolbow, John E.
 Geelen, R; Plews, J; Tupek, M; Dolbow, J, An extended/generalized phasefield finite element method for crack growth with globallocal enrichment,
International Journal for Numerical Methods in Engineering, vol. 121 no. 11
(June, 2020),
pp. 25342557 [doi] [abs]
 Jiang, W; Spencer, BW; Dolbow, JE, Ceramic nuclear fuel fracture modeling with the extended finite element method,
Engineering Fracture Mechanics, vol. 223
(January, 2020) [doi] [abs]
 Guilleminot, J; Dolbow, JE, Datadriven enhancement of fracture paths in random composites,
Mechanics Research Communications, vol. 103
(January, 2020) [doi] [abs]
 Geelen, RJM; Liu, Y; Hu, T; Tupek, MR; Dolbow, JE, A phasefield formulation for dynamic cohesive fracture,
Computer Methods in Applied Mechanics and Engineering, vol. 348
(May, 2019),
pp. 680711 [doi] [abs]
 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, vol. 157
(May, 2019),
pp. 50 [doi] [abs]
 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] [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]
Dunson, David B.
(search)
 Dunson, DB; Johndrow, JE, The Hastings algorithm at fifty,
Biometrika, vol. 107 no. 1
(March, 2020),
pp. 123 [doi] [abs]
 Duan, LL; Young, AL; Nishimura, A; Dunson, DB, Bayesian constraint relaxation.,
Biometrika, vol. 107 no. 1
(March, 2020),
pp. 191204 [doi] [abs]
 Tikhonov, G; Duan, L; Abrego, N; Newell, G; White, M; Dunson, D; Ovaskainen, O, Computationally efficient joint species distribution modeling of big spatial data.,
Ecology, vol. 101 no. 2
(February, 2020),
pp. e02929 [doi] [abs]
 Ferrari, F; Dunson, DB, Bayesian Factor Analysis for Inference on Interactions,
Journal of the American Statistical Association
(January, 2020) [doi] [abs]
 Dunson, D; Papamarkou, T, Discussion,
International Statistical Review
(January, 2020) [doi]
 Jauch, M; Hoff, PD; Dunson, DB, Random orthogonal matrices and the Cayley transform,
Bernoulli, vol. 26 no. 2
(January, 2020),
pp. 15601586 [doi] [abs]
 Thai, DH; Wu, HT; Dunson, DB, Locally convex kernel mixtures: Bayesian subspace learning,
Proceedings 18th Ieee International Conference on Machine Learning and Applications, Icmla 2019
(December, 2019),
pp. 272275, ISBN 9781728145495 [doi] [abs]
 Camerlenghi, F; Dunson, DB; Lijoi, A; Prunster, I; Rodríguez, A, Latent nested nonparametric priors (with discussion),
Bayesian Analysis, vol. 14 no. 4
(December, 2019),
pp. 13031356 [doi] [abs]
 Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits.,
Neuroimage, vol. 197
(August, 2019),
pp. 330343 [doi] [abs]
 Li, C; Lin, L; Dunson, DB, On posterior consistency of tail index for Bayesian kernel mixture models,
Bernoulli, vol. 25 no. 3
(August, 2019),
pp. 19992028, Bernoulli Society for Mathematical Statistics and Probability [doi]
 Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data,
Journal of the American Statistical Association, vol. 114 no. 527
(July, 2019),
pp. 13941403 [doi] [abs]
 Niu, M; Cheung, P; Lin, L; Dai, Z; Lawrence, N; Dunson, D, Intrinsic Gaussian processes on complex constrained domains,
Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 81 no. 3
(July, 2019),
pp. 603627 [doi] [abs]
 Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation,
Ieee Transactions on Signal Processing, vol. 67 no. 7
(April, 2019),
pp. 19291940 [doi] [abs]
 Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions.,
Journal of the American Statistical Association, vol. 114 no. 528
(January, 2019),
pp. 15051517 [doi] [abs]
 Norberg, A; Abrego, N; Blanchet, FG; Adler, FR; Anderson, BJ; Anttila, J; Araújo, MB; Dallas, T; Dunson, D; Elith, J; Foster, SD; Fox, R; Franklin, J; Godsoe, W; Guisan, A; O'Hara, B; Hill, NA; Holt, RD; Hui, FKC; Husby, M; Kålås, JA; Lehikoinen, A; Luoto, M; Mod, HK; Newell, G; Renner, I; Roslin, T; Soininen, J; Thuiller, W; Vanhatalo, J; Warton, D; White, M; Zimmermann, NE; Gravel, D; Ovaskainen, O, A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels,
Ecological Monographs, vol. 89 no. 3
(January, 2019) [doi] [abs]
 Wang, L; Zhang, Z; Dunson, D, Common and individual structure of brain networks,
The Annals of Applied Statistics, vol. 13 no. 1
(January, 2019),
pp. 85112 [doi] [abs]
 Miller, JW; Dunson, DB, Robust Bayesian inference via coarsening.,
Journal of the American Statistical Association, vol. 114 no. 527
(January, 2019),
pp. 11131125, Informa UK Limited [doi] [abs]
 Li, M; Dunson, DB, Comparing and Weighting Imperfect Models Using DProbabilities,
Journal of the American Statistical Association
(January, 2019) [doi] [abs]
 Lin, L; Mu, N; Cheung, P; Dunson, D, Extrinsic Gaussian processes for regression and classification on manifolds,
Bayesian Analysis, vol. 14 no. 3
(January, 2019),
pp. 887906 [doi] [abs]
 Chae, M; Lin, L; Dunson, DB, Bayesian sparse linear regression with unknown symmetric error,
Information and Inference, vol. 8 no. 3
(January, 2019),
pp. 621653 [doi] [abs]
 Mukhopadhyay, M; Dunson, DB, Targeted Random Projection for Prediction From HighDimensional Features,
Journal of the American Statistical Association
(January, 2019) [doi] [abs]
 Badea, A; Wu, W; Shuff, J; Wang, M; Anderson, RJ; Qi, Y; Johnson, GA; Wilson, JG; Koudoro, S; Garyfallidis, E; Colton, CA; Dunson, DB, Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer's Disease.,
Frontiers in Neuroinformatics, vol. 13
(2019),
pp. 72 [doi] [abs]
Durrett, Richard T.
 Cristali, I; Junge, M; Durrett, R, Poisson percolation on the oriented square lattice,
Stochastic Processes and Their Applications, vol. 130 no. 2
(February, 2020),
pp. 488502 [doi] [abs]
 Huang, X; Durrett, R, The contact process on periodic trees,
Electronic Communications in Probability, vol. 25
(January, 2020) [doi] [abs]
 Durrett, R; Junge, M; Tang, S, Coexistence in chaseescape,
Electronic Communications in Probability, vol. 25
(January, 2020) [doi] [abs]
 Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games.,
Journal of Mathematical Biology, vol. 78 no. 12
(January, 2019),
pp. 135154 [doi] [abs]
 Huo, R; Durrett, R, The Zealot voter model,
The Annals of Applied Probability, vol. 29 no. 5
(January, 2019),
pp. 31283154 [doi] [abs]
Dym, Nadav
 Dym, N; Kovalsky, S, Linearly converging quasi branch and bound algorithms for global rigid registration,
Proceedings of the Ieee International Conference on Computer Vision, vol. 2019October
(October, 2019),
pp. 16281636 [doi] [abs]
 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]
 Dym, N, Spatial recurrence for ergodic fractal measures,
Studia Mathematica, vol. 248 no. 1
(January, 2019),
pp. 129 [doi] [abs]
 Kushinsky, Y; Maron, H; Dym, N; Lipman, Y, Sinkhorn algorithm for lifted assignment problems,
Siam Journal on Imaging Sciences, vol. 12 no. 2
(January, 2019),
pp. 716735, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
 Dym, N; Sober, B; Daubechies, I, Expression of Fractals Through Neural Network Functions.,
Corr, vol. abs/1905.11345
(2019)
 Dym, N; Kovalsky, SZ, Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration.,
Iccv
(2019),
pp. 16281636, IEEE, ISBN 9781728148038
Gao, Yuan
(search)
 Gao, Y, Global strong solution with BV derivatives to singular solidonsolid model with exponential nonlinearity,
Journal of Differential Equations, vol. 267 no. 7
(September, 2019),
pp. 44294447 [doi] [abs]
 Gao, Y; Liu, JG; Lu, XY, Gradient flow approach to an exponential thin film equation: global existence and latent singularity,
Esaim: Control, Optimisation and Calculus of Variations, vol. 25
(2019),
pp. 4949, E D P SCIENCES [doi] [abs]
Getz, Jayce R.
 Getz, JR; Liu, B, A refined Poisson summation formula for certain BravermanKazhdan spaces,
Science China Mathematics
(January, 2020) [doi] [abs]
 Getz, JR; Liu, B, A summation formula for triples of quadratic spaces,
Advances in Mathematics, vol. 347
(April, 2019),
pp. 150191 [doi] [abs]
Hain, Richard
(search)
 Hain, R, Notes on the universal elliptic KZB connection,
Pure and Applied Mathematics Quarterly, vol. 16 no. 2
(January, 2020),
pp. 229312 [doi] [abs]
Harer, John
 Smith, LM; Motta, FC; Chopra, G; Moch, JK; Nerem, RR; Cummins, B; Roche, KE; Kelliher, CM; Leman, AR; Harer, J; Gedeon, T; Waters, NC; Haase, SB, An intrinsic oscillator drives the blood stage cycle of the malaria parasite Plasmodium falciparum.,
Science (New York, N.Y.), vol. 368 no. 6492
(May, 2020),
pp. 754759 [doi] [abs]
 Tralie, CJ; Bendich, P; Harer, J, MultiScale Geometric Summaries for SimilarityBased Sensor Fusion,
Ieee Aerospace Conference Proceedings, vol. 2019March
(March, 2019), ISBN 9781538668542 [doi] [abs]
He, Siming
 He, S; Tadmor, E, Suppressing Chemotactic BlowUp Through a Fast Splitting Scenario on the Plane,
Archive for Rational Mechanics and Analysis, vol. 232 no. 2
(May, 2019),
pp. 951986, Springer Nature America, Inc [doi] [abs]
Hebbar, Pratima
 Fernando, K; Hebbar, P, Higher order asymptotics for large deviations – Part I,
Asymptotic Analysis
(February, 2020),
pp. 139, IOS Press [doi]
Herschlag, Gregory J.
 Herschlag, G; Gounley, J; Roychowdhury, S; Draeger, EW; Randles, A, Multiphysics simulations of particle tracking in arterial geometries with a scalable moving window algorithm,
Proceedings Ieee International Conference on Cluster Computing, Iccc, vol. 2019September
(September, 2019), ISBN 9781728147345 [doi] [abs]
 Chin, A; Herschlag, G; Mattingly, J, The Signature of Gerrymandering in Rucho v. Common Cause,
South Carolina Law Review, vol. 70
(2019)
Junge, Matthew S
 Cristali, I; Junge, M; Durrett, R, Poisson percolation on the oriented square lattice,
Stochastic Processes and Their Applications
(January, 2019) [doi] [abs]
 Beckman, E; Frank, N; Jiang, Y; Junge, M; Tang, S, The frog model on trees with drift,
Electronic Communications in Probability, vol. 24
(January, 2019) [doi] [abs]
 Dygert, B; Kinzel, C; Junge, M; Raymond, A; Slivken, E; Zhu, J, The bullet problem with discrete speeds,
Electronic Communications in Probability, vol. 24
(January, 2019) [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, vol. 44 no. 4
(April, 2019),
pp. 279308 [doi] [abs]
Kovalsky, Shahar
 Dym, N; Kovalsky, S, Linearly converging quasi branch and bound algorithms for global rigid registration,
Proceedings of the Ieee International Conference on Computer Vision, vol. 2019October
(October, 2019),
pp. 16281636 [doi] [abs]
 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, vol. 10 no. 4
(April, 2019),
pp. 541552 [doi] [abs]
 Dov, D; Kovalsky, SZ; Cohen, J; Range, DE; Henao, R; Carin, L, Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images., edited by DoshiVelez, F; Fackler, J; Jung, K; Kale, DC; Ranganath, R; Wallace, BC; Wiens, J,
Mlhc, vol. 106
(2019),
pp. 553570, PMLR
 Dov, D; Kovalsky, SZ; Cohen, J; Range, DE; Henao, R; Carin, L, A DeepLearning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images.,
Corr, vol. abs/1904.12739
(2019)
 Dov, D; Kovalsky, SZ; Cohen, J; Range, D; Henao, R; Carin, L, Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images.,
Corr, vol. abs/1904.00839
(2019)
Layton, Anita T.
 Ahmed, S; Layton, AT, Sexspecific computational models for blood pressure regulation in the rat.,
American Journal of Physiology. Renal Physiology, vol. 318 no. 4
(April, 2020),
pp. F888F900 [doi] [abs]
 Edwards, A; Palm, F; Layton, AT, A model of mitochondrial O2 consumption and ATP generation in rat proximal tubule cells.,
American Journal of Physiology. Renal Physiology, vol. 318 no. 1
(January, 2020),
pp. F248F259 [doi] [abs]
 Hu, R; McDonough, AA; Layton, AT, Functional implications of the sex differences in transporter abundance along the rat nephron: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 317 no. 6
(December, 2019),
pp. F1462F1474 [doi] [abs]
 Layton, AT, Solute and water transport along an inner medullary collecting duct undergoing peristaltic contractions.,
American Journal of Physiology. Renal Physiology, vol. 317 no. 3
(September, 2019),
pp. F735F742 [doi] [abs]
 Layton, AT, Multiscale models of kidney function and diseases,
Current Opinion in Biomedical Engineering, vol. 11
(September, 2019),
pp. 18 [doi] [abs]
 Sadria, M; Karimi, S; Layton, AT, Network centrality analysis of eyegaze data in autism spectrum disorder.,
Computers in Biology and Medicine, vol. 111
(August, 2019),
pp. 103332 [doi] [abs]
 Ahmed, S; Hu, R; Leete, J; Layton, AT, Understanding sex differences in longterm blood pressure regulation: insights from experimental studies and computational modeling.,
American Journal of Physiology Heart and Circulatory Physiology, vol. 316 no. 5
(May, 2019),
pp. H1113H1123 [doi] [abs]
 Fattah, H; Layton, A; Vallon, V, How Do Kidneys Adapt to a Deficit or Loss in Nephron Number?,
Physiology (Bethesda, Md.), vol. 34 no. 3
(May, 2019),
pp. 189197 [doi] [abs]
 Layton, AT, Optimizing SGLT inhibitor treatment for diabetes with chronic kidney diseases.,
Biological Cybernetics, vol. 113 no. 12
(April, 2019),
pp. 139148 [doi] [abs]
 Layton, AT; Layton, HE, A computational model of epithelial solute and water transport along a human nephron.,
Plos Computational Biology, vol. 15 no. 2
(February, 2019),
pp. e1006108 [doi] [abs]
 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]
 Layton, AT, Recent advances in renal epithelial transport.,
American Journal of Physiology. Renal Physiology, vol. 316 no. 2
(February, 2019),
pp. F274F276 [doi]
 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]
Layton, Harold
 Layton, AT; Layton, HE, A computational model of epithelial solute and water transport along a human nephron.,
Plos Computational Biology, vol. 15 no. 2
(February, 2019),
pp. e1006108 [doi] [abs]
Levine, Adam S.
 Celoria, D; Golla, M; Levine, AS, Heegaard floer homology and concordance bounds on the Thurston norm,
Transactions of the American Mathematical Society, vol. 373 no. 1
(January, 2020),
pp. 295318 [doi] [abs]
 Levine, AS; Zemke, I, Khovanov homology and ribbon concordances,
Bulletin of the London Mathematical Society, vol. 51 no. 6
(December, 2019),
pp. 10991103 [doi] [abs]
 Levine, AS; Lidman, T, SIMPLY CONNECTED, SPINELESS 4MANIFOLDS,
Forum of Mathematics, Sigma
(January, 2019) [doi] [abs]
 Levine, AS, Indivisible,
The Mathematical Intelligencer
(January, 2019) [doi]
Li, Yingzhou
 Li, Y; Lu, J; Mao, A, Variational training of neural network approximations of solution maps for physical models,
Journal of Computational Physics, vol. 409
(May, 2020) [doi] [abs]
 Hu, W; Liu, J; Li, Y; Ding, Z; Yang, C; Yang, J, Accelerating Excitation Energy Computation in Molecules and Solids within LinearResponse TimeDependent Density Functional Theory via Interpolative Separable Density Fitting Decomposition.,
Journal of Chemical Theory and Computation, vol. 16 no. 2
(February, 2020),
pp. 964973 [doi] [abs]
 Wang, Z; Li, Y; Lu, J, Coordinate Descent Full Configuration Interaction.,
Journal of Chemical Theory and Computation, vol. 15 no. 6
(June, 2019),
pp. 35583569 [doi] [abs]
 Li, Y; Lu, J, Bold diagrammatic Monte Carlo in the lens of stochastic iterative methods,
Transactions of Mathematics and Its Applications, vol. 3 no. 1
(February, 2019),
pp. 117, Oxford University Press (OUP) [doi] [abs]
 Li, Y; Lin, L, Globally constructed adaptive local basis set for spectral projectors of second order differential operators,
Multiscale Modeling & Simulation, vol. 17 no. 1
(January, 2019),
pp. 92116, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
 Yingzhou, LI; Jianfeng, LU; Wang, AZHE, Coordinatewise descent methods for leading eigenvalue problem,
Siam Journal on Scientific Computing, vol. 41 no. 4
(January, 2019),
pp. A2681A2716, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
 Wang, R; Li, Y; Mahoney, MW; Darve, E, Block basis factorization for scalable kernel evaluation,
Siam Journal on Matrix Analysis and Applications, vol. 40 no. 4
(January, 2019),
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 Liu, YW; Kao, SL; Wu, HT; Liu, TC; Fang, TY; Wang, PC, Transientevoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Ménière's disease.,
Acta Oto Laryngologica, vol. 140 no. 3
(March, 2020),
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 Malik, J; Soliman, EZ; Wu, HT, An adaptive QRS detection algorithm for ultralongterm ECG recordings.,
Journal of Electrocardiology, vol. 60
(February, 2020),
pp. 165171 [doi] [abs]
 Lo, YL; Wu, HT; Lin, YT; Kuo, HP; Lin, TY, Hypoventilation patterns during bronchoscopic sedation and their clinical relevance based on capnographic and respiratory impedance analysis.,
Journal of Clinical Monitoring and Computing, vol. 34 no. 1
(February, 2020),
pp. 171179 [doi] [abs]
 Lobmaier, SM; Müller, A; Zelgert, C; Shen, C; Su, PC; Schmidt, G; Haller, B; Berg, G; Fabre, B; Weyrich, J; Wu, HT; Frasch, MG; Antonelli, MC, Fetal heart rate variability responsiveness to maternal stress, noninvasively detected from maternal transabdominal ECG.,
Archives of Gynecology and Obstetrics, vol. 301 no. 2
(February, 2020),
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 Liu, GR; Lo, YL; Malik, J; Sheu, YC; Wu, HT, Diffuse to fuse EEG spectra – Intrinsic geometry of sleep dynamics for classification,
Biomedical Signal Processing and Control, vol. 55
(January, 2020) [doi] [abs]
 Su, PC; Miller, S; Idriss, S; Barker, P; Wu, HT, Recovery of the fetal electrocardiogram for morphological analysis from two transabdominal channels via optimal shrinkage.,
Physiological Measurement, vol. 40 no. 11
(December, 2019),
pp. 115005 [doi] [abs]
 Thai, DH; Wu, HT; Dunson, DB, Locally convex kernel mixtures: Bayesian subspace learning,
Proceedings 18th Ieee International Conference on Machine Learning and Applications, Icmla 2019
(December, 2019),
pp. 272275, ISBN 9781728145495 [doi] [abs]
 Talmon, R; Wu, HT, Latent common manifold learning with alternating diffusion: Analysis and applications,
Applied and Computational Harmonic Analysis, vol. 47 no. 3
(November, 2019),
pp. 848892, Elsevier BV [doi] [abs]
 Korolj, A; Wu, HT; Radisic, M, A healthy dose of chaos: Using fractal frameworks for engineering higherfidelity biomedical systems.,
Biomaterials, vol. 219
(October, 2019),
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 Martinez, N; Bertran, M; Sapiro, G; Wu, HT, NonContact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video,
Proceedings International Conference on Image Processing, Icip, vol. 2019September
(September, 2019),
pp. 20202024, ISBN 9781538662496 [doi] [abs]
 Alagapan, S; Shin, HW; Fröhlich, F; Wu, HT, Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography.,
Journal of Neural Engineering, vol. 16 no. 3
(June, 2019),
pp. 036010 [doi] [abs]
 Lu, Y; Wu, HT; Malik, J, Recycling cardiogenic artifacts in impedance pneumography,
Biomedical Signal Processing and Control, vol. 51
(May, 2019),
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 Chen, HY; Pan, HC; Chen, YC; Chen, YC; Lin, YH; Yang, SH; Chen, JL; Wu, HT, Traditional Chinese medicine use is associated with lower endstage renal disease and mortality rates among patients with diabetic nephropathy: a populationbased cohort study.,
Bmc Complementary and Alternative Medicine, vol. 19 no. 1
(April, 2019),
pp. 81 [doi] [abs]
 Zhang, JT; Cheng, MY; Wu, HT; Zhou, B, A new test for functional oneway ANOVA with applications to ischemic heart screening,
Computational Statistics & Data Analysis, vol. 132
(April, 2019),
pp. 317, Elsevier BV [doi] [abs]
 Tan, C; Zhang, L; Wu, HT, A Novel Blaschke Unwinding AdaptiveFourierDecompositionBased Signal Compression Algorithm With Application on ECG Signals.,
Ieee Journal of Biomedical and Health Informatics, vol. 23 no. 2
(March, 2019),
pp. 672682, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Katz, O; Talmon, R; Lo, YL; Wu, HT, Alternating diffusion maps for multimodal data fusion,
Information Fusion, vol. 45
(January, 2019),
pp. 346360, Elsevier BV [doi] [abs]
 Chang, CH; Fang, YL; Wang, YJ; Wu, HT; Lin, YT, Differentiation of skin incision and laparoscopic trocar insertion via quantifying transient bradycardia measured by electrocardiogram,
Journal of Clinical Monitoring and Computing
(January, 2019) [doi] [abs]
 Shnitzer, T; Lederman, RR; Liu, GR; Talmon, R; Wu, HT, Diffusion operators for multimodal data analysis,
Handbook of Numerical Analysis, vol. 20
(January, 2019),
pp. 139 [doi] [abs]
 Lin, YT; Lo, YL; Lin, CY; Frasch, MG; Wu, HT, Unexpected sawtooth artifact in beattobeat pulse transit time measured from patient monitor data.,
Plos One, vol. 14 no. 9
(January, 2019),
pp. e0221319 [doi] [abs]
Wu, Nan
 Wu, N; Zhu, Z, An Upper Bound for the Smallest Area of a Minimal Surface in Manifolds of Dimension Four,
The Journal of Geometric Analysis, vol. 30 no. 1
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