Mathematics Faculty: Publications since January 2017
List all publications in the database. :chronological combined bibtex listing:
Agarwal, Pankaj K.
 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 [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; 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, 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]
 Rav, M; Lowe, A; Agarwal, PK, Flood Risk Analysis on Terrains,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, vol. 2017November
(November, 2017), ISBN 9781450354905 [doi] [abs]
 Agarwal, PK; HarPeled, S; Suri, S; Yıldız, H; Zhang, W, Convex Hulls Under Uncertainty,
Algorithmica, vol. 79 no. 2
(October, 2017),
pp. 340367 [doi]
 Agarwal, PK; Rubin, N; Sharir, M, Approximate nearest neighbor search amid higherdimensional flats,
Leibniz International Proceedings in Informatics, Lipics, vol. 87
(September, 2017), ISBN 9783959770491 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Efficient algorithms for kregret minimizing sets,
Leibniz International Proceedings in Informatics, Lipics, vol. 75
(August, 2017), ISBN 9783959770361 [doi] [abs]
 Agarwal, PK; Fox, K; Panigrahi, D; Varadarajan, KR; Xiao, A, Faster algorithms for the geometric transportation problem,
Leibniz International Proceedings in Informatics, Lipics, vol. 77
(June, 2017),
pp. 71716, ISBN 9783959770385 [doi] [abs]
 Wu, Y; Agarwal, PK; Li, C; Yang, J; Yu, C, Computational Fact Checking through Query Perturbations,
Acm Transactions on Database Systems, vol. 42 no. 1
(January, 2017),
pp. 141 [doi]
 Wu, Y; Gao, J; Agarwal, PK; Yang, J, Finding diverse, highvalue representatives on a surface of answers,
Proceedings of the Vldb Endowment, vol. 10 no. 7
(January, 2017),
pp. 793804 [abs]
 Garg, N; Sadiq, M; Agarwal, P, GOASREP: Goal oriented approach for software requirements elicitation and prioritization using analytic hierarchy process,
Advances in Intelligent Systems and Computing, vol. 516
(January, 2017),
pp. 281287, ISBN 9789811031557 [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 and Algorithms, vol. 52 no. 1
(January, 2018),
pp. 4153, Wiley [doi] [abs]
 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
(2018) [doi]
 Arlotto, A; Gurvich, I, Uniformly bounded regret in the multisecretary problem
(October, 2017) [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, 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,
Proceedings of the 39th IEEE Aerospace Conference
(March, 2018) [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
 Bray, H; Roesch, H, Proof of a Null Geometry Penrose Conjecture,
Notices of the American Mathematical Society., vol. 65
(February, 2018), American Mathematical Society
Bryant, Robert
(search)
 Bryant, R; Huang, L; Mo, X, On Finsler surfaces of constant flag curvature with a Killing field,
Journal of Geometry and Physics, vol. 116
(June, 2017),
pp. 345357 [doi]
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, ISBN 9781509059904 [doi] [abs]
 Mappouras, G; Vahid, A; Calderbank, R; Hower, DR; Sorin, DJ, Jenga: Efficient fault tolerance for stacked DRAM,
Proceedings  35th IEEE International Conference on Computer Design, ICCD 2017
(November, 2017),
pp. 361368, ISBN 9781538622544 [doi] [abs]
 Kadhe, S; Calderbank, R, Rate optimal binary linear locally repairable codes with small availability,
Ieee International Symposium on Information Theory Proceedings
(August, 2017),
pp. 166170, ISBN 9781509040964 [doi] [abs]
 Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, Multiscale spectrum sensing in smallcell mmwave cognitive wireless networks,
Ieee International Conference on Communications
(July, 2017), ISBN 9781467389990 [doi] [abs]
 CnaanOn, I; Harms, A; Krolik, JL; Calderbank, AR, Runlength limited codes for backscatter communication,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp)
(June, 2017),
pp. 61106114, ISBN 9781509041176 [doi] [abs]
 Wang, L; Chen, M; Rodrigues, M; Wilcox, D; Calderbank, R; Carin, L, InformationTheoretic Compressive Measurement Design.,
Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 39 no. 6
(June, 2017),
pp. 11501164 [doi] [abs]
 Hadani, R; Rakib, S; Tsatsanis, M; Monk, A; Goldsmith, AJ; Molisch, AF; Calderbank, R, Orthogonal time frequency space modulation,
Ieee Wireless Communications and Networking Conference, Wcnc
(May, 2017), ISBN 9781509041831 [doi] [abs]
 Campbell, K; Carpenter, KLH; Espinosa, S; Hashemi, J; Qiu, Q; Tepper, M; Calderbank, R; Sapiro, G; Egger, HL; Baker, JP; Dawson, G, Use of a Digital Modified Checklist for Autism in Toddlers  Revised with Followup to Improve Quality of Screening for Autism.,
The Journal of Pediatrics, vol. 183
(April, 2017),
pp. 133139.e1 [doi] [abs]
Cheng, Cheng
 Cheng, C; Jiang, Y; Sun, Q, Spatially distributed sampling and reconstruction,
Applied and Computational Harmonic Analysis
(August, 2017) [doi]
 Li, L; Cheng, C; Han, D; Sun, Q; Shi, G, Phase Retrieval From MultipleWindow ShortTime Fourier Measurements,
Ieee Signal Processing Letters, vol. 24 no. 4
(April, 2017),
pp. 372376 [doi]
Cheng, Xiuyuan
 Lu, J; Lu, Y; Wang, X; Li, X; Linderman, GC; Wu, C; Cheng, X; Mu, L; Zhang, H; Liu, J; Su, M; Zhao, H; Spatz, ES; Spertus, JA; Masoudi, FA; Krumholz, HM; Jiang, L, Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a populationbased screening study (China PEACE Million Persons Project),
Lancet (London, England), vol. 390 no. 10112
(December, 2017),
pp. 25492558 [doi]
 Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection,
Journal of Number Theory
(October, 2017) [doi]
Daubechies, Ingrid
 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 [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Thakur, G, Reconstructing RealValued Functions from Unsigned Coefficients with Respect to Wavelet and Other Frames,
Journal of Fourier Analysis and Applications, vol. 23 no. 6
(December, 2017),
pp. 14801494 [doi]
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, MultiModal Dictionary Learning for Image Separation With Application in Art Investigation,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 26 no. 2
(February, 2017),
pp. 751764 [doi]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 26 no. 1
(January, 2017),
pp. 160171 [doi] [abs]
 Voronin, S; Daubechies, I, An iteratively reweighted least squares algorithm for sparse regularization,
in Contemporary Mathematics, vol. 693
(January, 2017),
pp. 391411 [doi] [abs]
 Yin, R; Gao, T; Lu, YM; Daubechies, I, A Tale of Two Bases: LocalNonlocal Regularization on Image Patches with Convolution Framelets,
Siam Journal on Imaging Sciences, vol. 10 no. 2
(January, 2017),
pp. 711750 [doi]
 Fodor, G; Cornelis, B; Yin, R; Dooms, A; Daubechies, I, Cradle Removal in XRay Images of Panel Paintings,
Image Processing On Line, vol. 7
(2017),
pp. 2342 [doi]
Dolbow, John E.
 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 [doi] [abs]
 Peco, C; Chen, W; Liu, Y; Bandi, MM; Dolbow, JE; Fried, E, Influence of surface tension in the surfactantdriven fracture of closelypacked particulate monolayers.,
Soft Matter, vol. 13 no. 35
(September, 2017),
pp. 58325841 [doi] [abs]
 Zhang, Z; Dolbow, JE, Remeshing strategies for large deformation problems with frictional contact and nearly incompressible materials,
International Journal for Numerical Methods in Engineering, vol. 109 no. 9
(March, 2017),
pp. 12891314 [doi]
 Stershic, AJ; Dolbow, JE; Moës, N, The Thick LevelSet model for dynamic fragmentation,
Engineering Fracture Mechanics, vol. 172
(March, 2017),
pp. 3960 [doi]
Dunson, David B.
 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]
 Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431446 [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]
 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
(January, 2018),
pp. 113 [doi] [abs]
 Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics & Probability Letters
(January, 2018) [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]
 Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Robust and scalable bayes via a median of subset posterior measures,
Journal of Machine Learning Research, vol. 18
(December, 2017),
pp. 140 [abs]
 Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines.,
Biometrika, vol. 104 no. 4
(December, 2017),
pp. 939952, Oxford University Press (OUP) [abs]
 Shang, Y; Dunson, D; Song, JS, Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics,
Operations Research, vol. 65 no. 6
(December, 2017),
pp. 15741588 [doi]
 Durante, D; Dunson, DB; Vogelstein, JT, Rejoinder: Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association, vol. 112 no. 520
(October, 2017),
pp. 15471552 [doi]
 Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association, vol. 112 no. 520
(October, 2017),
pp. 15161530 [doi] [abs]
 Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; KarjalainenLindsberg, ML; Nørgaard, P; Pedersen, M; Gang, AO; Høgdall, E; Heavican, TB; Lone, W; Iqbal, J; Qin, Q; Li, G; Kim, SY; Healy, J; Richards, KL; Fedoriw, Y; BernalMizrachi, L; Koff, JL; Staton, AD; Flowers, CR; Paltiel, O; Goldschmidt, N; Calaminici, M; Clear, A; Gribben, J; Nguyen, E; Czader, MB; Ondrejka, SL; Collie, A; Hsi, ED; Tse, E; AuYeung, RKH; Kwong, YL; Srivastava, G; Choi, WWL; Evens, AM; Pilichowska, M; Sengar, M; Reddy, N; Li, S; Chadburn, A; Gordon, LI; Jaffe, ES; Levy, S; Rempel, R; Tzeng, T; Happ, LE; Dave, T; Rajagopalan, D; Datta, J; Dunson, DB; Dave, SS, Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma.,
Cell, vol. 171 no. 2
(October, 2017),
pp. 481494.e15 [doi] [abs]
 Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 665680 [doi] [abs]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics, vol. 73 no. 3
(September, 2017),
pp. 10181028 [doi] [abs]
 Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis.,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 649663 [doi] [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression,
Journal of Machine Learning Research, vol. 18
(August, 2017),
pp. 131 [abs]
 Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequencyspecific oscillatory contexts.,
Brain and Behavior, vol. 7 no. 6
(June, 2017),
pp. e00710 [doi] [abs]
 Zhu, B; Dunson, DB, Bayesian Functional Data Modeling for Heterogeneous Volatility,
Bayesian Analysis, vol. 12 no. 2
(June, 2017),
pp. 335350 [doi]
 Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian networkresponse regression.,
Bioinformatics (Oxford, England), vol. 33 no. 12
(June, 2017),
pp. 18591866 [doi] [abs]
 Ovaskainen, O; Tikhonov, G; Norberg, A; Guillaume Blanchet, F; Duan, L; Dunson, D; Roslin, T; Abrego, N, How to make more out of community data? A conceptual framework and its implementation as models and software.,
Ecology Letters, vol. 20 no. 5
(May, 2017),
pp. 561576 [doi] [abs]
 Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, BE; Abrego, N, How are species interactions structured in speciesrich communities? A new method for analysing timeseries data.,
Proceedings of the Royal Society B: Biological Sciences, vol. 284 no. 1855
(May, 2017),
pp. 2017076820170768 [doi] [abs]
 Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; AuYeung, RKH; Kwong, YL; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathyassociated T cell lymphoma subtypes are characterized by loss of function of SETD2.,
The Journal of Experimental Medicine, vol. 214 no. 5
(May, 2017),
pp. 13711386 [doi] [abs]
 Durante, D; Paganin, S; Scarpa, B; Dunson, DB, Bayesian modelling of networks in complex business intelligence problems,
Journal of the Royal Statistical Society. Series C, Applied Statistics, vol. 66 no. 3
(April, 2017),
pp. 555580 [doi]
 McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; DelfauLarue, MH; Fataccioli, V; Czader, MB; Lossos, IS; ChapmanFredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; MehtaShah, N; Horwitz, S; BernalMizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; AuYeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; BasicKinda, S; Gascoyne, RD; Davis, NS; Li, G; Zhang, J; Rajagopalan, D; Reddy, A; Love, C; Levy, S; Zhuang, Y; Datta, J; Dunson, DB; Davé, SS, The Genetic Basis of Hepatosplenic Tcell Lymphoma.,
Cancer Discovery, vol. 7 no. 4
(April, 2017),
pp. 369379 [doi] [abs]
 Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O, Using joint species distribution models for evaluating how speciestospecies associations depend on the environmental context, edited by Warton, D,
Methods in Ecology and Evolution, vol. 8 no. 4
(April, 2017),
pp. 443452 [doi]
 Dunson, DB, Toward Automated Prior Choice,
Statistical Science, vol. 32 no. 1
(February, 2017),
pp. 4143 [doi]
 Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O, Woodinhabiting fungi with tight associations with other species have declined as a response to forest management,
Oikos, vol. 126 no. 2
(February, 2017) [doi]
 Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOGLINEAR MODELS.,
The Annals of Statistics, vol. 45 no. 1
(January, 2017),
pp. 138 [doi] [abs]
 Lin, L; St Thomas, B; Zhu, H; Dunson, DB, Extrinsic local regression on manifoldvalued data.,
Journal of the American Statistical Association, vol. 112 no. 519
(January, 2017),
pp. 12611273 [doi] [abs]
 Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association, vol. 112 no. 520
(2017),
pp. 15161530 [doi]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
Durrett, Richard T.
 Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games.,
Journal of Mathematical Biology
(July, 2018) [doi] [abs]
 Gleeson, JP; Durrett, R, Temporal profiles of avalanches on networks,
Nature Communications, vol. 8 no. 1
(December, 2017) [doi]
 Lopatkin, AJ; Meredith, HR; Srimani, JK; Pfeiffer, C; Durrett, R; You, L, Persistence and reversal of plasmidmediated antibiotic resistance.,
Nature Communications, vol. 8 no. 1
(November, 2017),
pp. 1689 [doi] [abs]
 Tomasetti, C; Durrett, R; Kimmel, M; Lambert, A; Parmigiani, G; Zauber, A; Vogelstein, B, Role of stemcell divisions in cancer risk,
Nature, vol. 548 no. 7666
(August, 2017),
pp. E13E14 [doi]
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications
(August, 2017) [doi]
 Nanda, M; Durrett, R, Spatial evolutionary games with weak selection,
Proceedings of the National Academy of Sciences of the United States of America, vol. 114 no. 23
(June, 2017),
pp. 60466051 [doi]
 Bessonov, M; Durrett, R, Phase transitions for a planar quadratic contact process,
Advances in Applied Mathematics, vol. 87
(June, 2017),
pp. 82107 [doi]
Fernandes de Oliveira, Goncalo M.
 Oliveira, G, Gerbes on G2 manifolds,
Journal of Geometry and Physics, vol. 114
(April, 2017),
pp. 570580 [doi]
Getz, Jayce R.
 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]
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]
 Hain, R, DeligneBeilinson Cohomology of Affine Groups,
in Hodge Theory and $L^2$analysis, edited by Ji, L
(July, 2015), International Press, ISBN 1571463518 [arXiv:1507.03144] [abs]
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, 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,
Proceedings of the 39th IEEE Aerospace Conference
(March, 2018) [abs]
 Hughes, ME; Abruzzi, KC; Allada, R; Anafi, R; Arpat, AB; Asher, G; Baldi, P; de Bekker, C; BellPedersen, D; Blau, J; Brown, S; Ceriani, MF; Chen, Z; Chiu, JC; Cox, J; Crowell, AM; DeBruyne, JP; Dijk, DJ; DiTacchio, L; Doyle, FJ; Duffield, GE; Dunlap, JC; EckelMahan, K; Esser, KA; FitzGerald, GA; Forger, DB; Francey, LJ; Fu, YH; Gachon, F; Gatfield, D; de Goede, P; Golden, SS; Green, C; Harer, J; Harmer, S; Haspel, J; Hastings, MH; Herzel, H; Herzog, ED; Hoffmann, C; Hong, C; Hughey, JJ et al., Guidelines for GenomeScale Analysis of Biological Rhythms.,
Journal of Biological Rhythms, vol. 32 no. 5
(October, 2017),
pp. 380393 [doi] [abs]
Herschlag, Gregory J.
 Cao, Y; Feng, Y; Ryser, MD; Zhu, K; Herschlag, G; Cao, C; Marusak, K; Zauscher, S; You, L, Programmable assembly of pressure sensors using patternforming bacteria.,
Nature Biotechnology, vol. 35 no. 11
(November, 2017),
pp. 10871093 [doi] [abs]
 Herschlag, G; Ravier, R; Mattingly, JC, Evaluating Partisan Gerrymandering in Wisconsin
(September, 2017) [abs]
Junge, Matthew S
 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 [doi]
 Hoffman, C; Johnson, T; Junge, M, Recurrence and transience for the frog model on trees,
The Annals of Probability, vol. 45 no. 5
(September, 2017),
pp. 28262854 [doi]
Kiselev, Alexander A.
 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 [doi]
 Kiselev, A; Tan, C, Finite time blow up in the hyperbolic Boussinesq system,
Advances in Mathematics, vol. 325
(February, 2018),
pp. 3455 [doi] [abs]
 Choi, K; Hou, TY; Kiselev, A; Luo, G; Sverak, V; Yao, Y, On the FiniteTime Blowup of a OneDimensional Model for the ThreeDimensional Axisymmetric Euler Equations,
Communications on Pure and Applied Mathematics, vol. 70 no. 11
(November, 2017),
pp. 22182243 [doi]
 Kiselev, A; Yao, Y; Zlatoš, A, Local Regularity for the Modified SQG Patch Equation,
Communications on Pure and Applied Mathematics, vol. 70 no. 7
(July, 2017),
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pp. 021503021503 [doi]
Witelski, Thomas P.
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 Chiou, JG; Ramirez, SA; Elston, TC; Witelski, TP; Schaeffer, DG; Lew, DJ, Principles that govern competition or coexistence in RhoGTPase driven polarization.,
Plos Computational Biology, vol. 14 no. 4
(April, 2018),
pp. e1006095 [doi] [abs]
 Ji, H; Witelski, TP, Instability and dynamics of volatile thin films,
Physical Review Fluids, vol. 3 no. 2
(February, 2018) [doi] [abs]
 Gao, Y; Ji, H; Liu, JG; Witelski, TP, Global existence of solutions to a tear film model with locally elevated evaporation rates,
Physica D: Nonlinear Phenomena, vol. 350
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pp. 1325 [doi]
 Ji, H; Witelski, TP, Finitetime thin film rupture driven by modified evaporative loss,
Physica D: Nonlinear Phenomena, vol. 342
(March, 2017),
pp. 115 [doi]
Wong, Jeffrey T
 Mavromoustaki, A; Wang, L; Wong, J; Bertozzi, AL, Surface tension effects for particle settling and resuspension in viscous thin films,
Nonlinearity, vol. 31 no. 7
(July, 2018),
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Wu, HauTieng
 Katz, O; Talmon, R; Lo, YL; Wu, HT, Alternating diffusion maps for multimodal data fusion,
Information Fusion, vol. 45
(January, 2019),
pp. 346360 [doi]
 Wu, HT; Wu, JC; Huang, PC; Lin, TY; Wang, TY; Huang, YH; Lo, YL, PhenotypeBased and SelfLearning InterIndividual Sleep Apnea Screening With a Level IVLike Monitoring System,
Frontiers in Physiology, vol. 9
(July, 2018) [doi]
 Wu, HT; Liu, YW, Analyzing transientevoked otoacoustic emissions by concentration of frequency and time,
The Journal of the Acoustical Society of America, vol. 144 no. 1
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 Liu, TC; Wu, HT; Chen, YH; Fang, TY; Wang, PC; Liu, YW, Analysis of clickevoked otoacoustic emissions by concentration of frequency and time: Preliminary results from normal hearing and Ménière's disease ears,
Aip Conference Proceedings, vol. 1965
(May, 2018), ISBN 9780735416703 [doi] [abs]
 Wu, HT; Soliman, EZ, A new approach for analysis of heart rate variability and QT variability in longterm ECG recording.,
Biomedical Engineering Online, vol. 17 no. 1
(May, 2018),
pp. 54 [doi] [abs]
 Frasch, MG; Lobmaier, SM; Stampalija, T; Desplats, P; Pallarés, ME; Pastor, V; Brocco, MA; Wu, HT; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC, Noninvasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multiscale multispecies perspective on data collection and analysis,
Neuroscience and Biobehavioral Reviews
(May, 2018) [doi]
 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
(May, 2018) [doi]
 Shen, C; Frasch, MG; Wu, HT; Herry, CL; Cao, M; Desrochers, A; Fecteau, G; Burns, P, Noninvasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets.,
Physiological Measurement, vol. 39 no. 3
(March, 2018),
pp. 035005 [doi] [abs]
 Talmon, R; Wu, HT, Latent common manifold learning with alternating diffusion: Analysis and applications,
Applied and Computational Harmonic Analysis
(January, 2018) [doi]
 Kowalski, M; Meynard, A; Wu, HT, Convex Optimization approach to signals with fast varying instantaneous frequency,
Applied and Computational Harmonic Analysis, vol. 44 no. 1
(January, 2018),
pp. 89122 [doi]
 Tan, C; Zhang, L; Wu, HT, A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals,
Ieee Journal of Biomedical and Health Informatics
(2018),
pp. 11 [doi] [abs]
 Wu, HK; Ko, YS; Lin, YS; Wu, HT; Tsai, TH; Chang, HH, Corrigendum to "The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine" [Complementary Ther. Med. 30 (2017) 107112].,
Complementary Therapies in Medicine, vol. 35
(December, 2017),
pp. 145 [doi]
 Chao, YS; Wu, HT; Scutari, M; Chen, TS; Wu, CJ; Durand, M; Boivin, A, A network perspective on patient experiences and health status: the Medical Expenditure Panel Survey 2004 to 2011.,
Bmc Health Services Research, vol. 17 no. 1
(August, 2017),
pp. 579 [doi] [abs]
 Lin, TY; Fang, YF; Huang, SH; Wang, TY; Kuo, CH; Wu, HT; Kuo, HP; Lo, YL, Capnography monitoring the hypoventilation during the induction of bronchoscopic sedation: A randomized controlled trial.,
Scientific Reports, vol. 7 no. 1
(August, 2017),
pp. 8685 [doi] [abs]
 Georgiou, A; BelloRivas, J; Gear, C; Wu, HT; Chiavazzo, E; Kevrekidis, I, An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients,
Entropy, vol. 19 no. 7
(July, 2017),
pp. 294294 [doi]
 Malik, J; Reed, N; Wang, CL; Wu, HT, Singlelead fwave extraction using diffusion geometry.,
Physiological Measurement, vol. 38 no. 7
(June, 2017),
pp. 13101334 [doi] [abs]
 Sheu, YL; Hsu, LY; Chou, PT; Wu, HT, Entropybased timevarying window width selection for nonlineartype time–frequency analysis,
International Journal of Data Science and Analytics, vol. 3 no. 4
(June, 2017),
pp. 231245 [doi]
 Herry, CL; Frasch, M; Seely, AJ; Wu, HT, Heart beat classification from singlelead ECG using the synchrosqueezing transform.,
Physiological Measurement, vol. 38 no. 2
(February, 2017),
pp. 171187 [doi] [abs]
 Wu, HK; Ko, YS; Lin, YS; Wu, HT; Tsai, TH; Chang, HH, The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine.,
Complementary Therapies in Medicine, vol. 30
(February, 2017),
pp. 107112 [doi] [abs]
 Coifman, RR; Steinerberger, S; Wu, HT, Carrier frequencies, holomorphy. And unwinding,
Siam Journal on Mathematical Analysis, vol. 49 no. 6
(January, 2017),
pp. 48384864 [doi] [abs]
 Li, R; Frasch, MG; Wu, HT, Efficient FetalMaternal ECG Signal Separation from Two Channel Maternal Abdominal ECG via DiffusionBased Channel Selection.,
Frontiers in Physiology, vol. 8
(January, 2017),
pp. 277 [doi] [abs]
 Frasch, MG; Boylan, GB; Wu, HT; Devane, D, Commentary: Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial.,
Frontiers in Physiology, vol. 8
(January, 2017),
pp. 721 [doi]
 Cicone, A; Wu, HT, How NonlinearType TimeFrequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way.,
Frontiers in Physiology, vol. 8
(January, 2017),
pp. 701 [doi] [abs]
 Liu, WT; Wu, HT; Juang, JN; Wisniewski, A; Lee, HC; Wu, D; Lo, YL, Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine.,
Plos One, vol. 12 no. 5
(January, 2017),
pp. e0176991 [doi] [abs]
 Lin, YT; Wu, HT, ConceFT for TimeVarying Heart Rate Variability Analysis as a Measure of Noxious Stimulation During General Anesthesia.,
Ieee Transactions on Bio Medical Engineering, vol. 64 no. 1
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pp. 145154 [doi] [abs]
 Wu, HT, Embedding Riemannian manifolds by the heat kernel of the connection Laplacian,
Advances in Mathematics, vol. 304
(January, 2017),
pp. 10551079 [doi]
Yang, Haizhao
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 Lu, J; Yang, H, A cubic scaling algorithm for excited states calculations in particle–particle random phase approximation,
Journal of Computational Physics, vol. 340
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pp. 297308 [doi]
 Li, Y; Yang, H; Ying, L, Multidimensional butterfly factorization,
Applied and Computational Harmonic Analysis
(April, 2017), Elsevier, ISSN 1096603X [arXiv:1509.07925], [repository], [doi]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
IEEE Transactions on Image Processing, vol. 26 no. 1
(January, 2017),
pp. 160171, Institute of Electrical and Electronics Engineers (IEEE), ISSN 19410042 [repository], [doi] [abs]
 Lu, J; Yang, H, Preconditioning Orbital Minimization Method for Planewave Discretization,
Multiscale Modeling & Simulation, vol. 15 no. 1
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pp. 254273 [repository], [doi] [abs]
 Li, Y; Yang, H, Interpolative Butterfly Factorization,
SIAM Journal on Scientific Computing, vol. 39 no. 2
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pp. A503A531 [1605.03616], [doi]
 Yang, H, Statistical analysis of synchrosqueezed transforms,
Applied and Computational Harmonic Analysis
(January, 2017), Elsevier, ISSN 1096603X [repository], [doi]
Zhou, Zhennan
 Liu, JG; Ma, Z; Zhou, Z, Explicit and Implicit TVD Schemes for Conservation Laws with Caputo Derivatives,
Journal of Scientific Computing, vol. 72 no. 1
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pp. 291313 [doi] [abs]
 Lu, J; Zhou, Z, Path integral molecular dynamics with surface hopping for thermal equilibrium sampling of nonadiabatic systems.,
Journal of Chemical Physics, vol. 146 no. 15
(April, 2017),
pp. 154110 [doi] [abs]
 Ma, Z; Zhang, Y; Zhou, Z, An improved semiLagrangian time splitting spectral method for the semiclassical Schrödinger equation with vector potentials using NUFFT,
Applied Numerical Mathematics, vol. 111
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Zhu, Wei
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CoRR, vol. abs/1711.06246
(2017)
