Mathematics Faculty: Publications since January 2017
List all publications in the database. :chronological alphabetical combined bibtex listing:
Agarwal, Pankaj K.
 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 9781450345897 [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,
LIPIcs, vol. 87
(September, 2017), ISBN 9783959770491 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Efficient algorithms for kregret minimizing sets,
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,
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]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Journal of Computer and System Sciences
(January, 2017) [doi] [abs]
 Wu, Y; Gao, J; Agarwal, PK; Yang, J, Finding diverse, highvalue representatives on a surface of answers,
Proceedings of the VLDB Endowment International Conference on Very Large Data Bases, 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
 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
 CnaanOn, I; Harms, A; Krolik, JL; Calderbank, AR, Runlength limited codes for backscatter communication,
IEEE International Conference on Acoustics Speech and Signal Processing
(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
(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),
The Lancet
(November, 2017) [doi]
 Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection,
Journal of Number Theory
(October, 2017) [doi]
Daubechies, Ingrid
 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]
 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.,
The Anatomical Record : Advances in Integrative Anatomy and Evolutionary Biology
(October, 2017) [doi] [abs]
 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, 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, 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
(January, 2018),
pp. 120 [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.
 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
(February, 2018) [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 : JMLR, 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]
 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]
 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 et al., 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 : JMLR, vol. 18
(August, 2017),
pp. 131 [abs]
 Shang, Y; Dunson, D; Song, JS, Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics,
Operations Research
(June, 2017) [doi]
 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, 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 of London: 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 et al., 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 : a review journal of the Institute of Mathematical Statistics, vol. 32 no. 1
(February, 2017),
pp. 4143 [doi]
 Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOGLINEAR MODELS.,
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]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
Durrett, Richard T.
 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 USA, 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]
Hain, Richard
(search)
 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
 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]
Junge, Matthew S
 Hoffman, C; Johnson, T; Junge, M, Recurrence and transience for the frog model on trees,
Annals of Probability, vol. 45 no. 5
(September, 2017),
pp. 28262854 [doi]
Kiselev, Alexander A.
 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 & 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 & Applied Mathematics, vol. 70 no. 7
(July, 2017),
pp. 12531315 [doi]
Kovalsky, Shahar
 Aigerman, N; Kovalsky, SZ; Lipman, Y, Spherical orbifold tutte embeddings,
ACM Transactions on Graphics, vol. 36 no. 4
(July, 2017),
pp. 113 [doi]
 Shtengel, A; Poranne, R; SorkineHornung, O; Kovalsky, SZ; Lipman, Y, Geometric optimization via composite majorization,
ACM Transactions on Graphics, vol. 36 no. 4
(July, 2017),
pp. 111 [doi]
Layton, Anita T.
 Edwards, A; Layton, AT, Cell Volume Regulation in the Proximal Tubule of Rat Kidney : Proximal Tubule Cell Volume Regulation.,
Bulletin of Mathematical Biology, vol. 79 no. 11
(November, 2017),
pp. 25122533 [doi] [abs]
 Burt, T; Noveck, RJ; MacLeod, DB; Layton, AT; Rowland, M; Lappin, G, IntraTarget Microdosing (ITM): A Novel Drug Development Approach Aimed at Enabling Safer and Earlier Translation of Biological Insights Into Human Testing.,
Clinical and Translational Science, vol. 10 no. 5
(September, 2017),
pp. 337350 [doi]
 Sgouralis, I; Evans, RG; Layton, AT, Renal medullary and urinary oxygen tension during cardiopulmonary bypass in the rat.,
Mathematical Medicine and Biology: A Journal of the IMA, vol. 34 no. 3
(September, 2017),
pp. 313333 [doi] [abs]
 Chen, Y; Sullivan, JC; Edwards, A; Layton, AT, Sexspecific computational models of the spontaneously hypertensive rat kidneys: factors affecting nitric oxide bioavailability.,
American Journal of Physiology: Renal Physiology, vol. 313 no. 2
(August, 2017),
pp. F174F183 [doi] [abs]
 Layton, AT; Edwards, A; Vallon, V, Adaptive changes in GFR, tubular morphology, and transport in subtotal nephrectomized kidneys: modeling and analysis.,
American Journal of Physiology: Renal Physiology, vol. 313 no. 2
(August, 2017),
pp. F199F209 [doi] [abs]
 Chen, Y; Fry, BC; Layton, AT, Modeling glucose metabolism and lactate production in the kidney.,
Mathematical Biosciences, vol. 289
(July, 2017),
pp. 116129 [doi] [abs]
 Layton, AT, A new microscope for the kidney: mathematics.,
American Journal of Physiology: Renal Physiology, vol. 312 no. 4
(April, 2017),
pp. F671F672 [doi]
 Jiang, T; Li, Y; Layton, AT; Wang, W; Sun, Y; Li, M; Zhou, H; Yang, B, Generation and phenotypic analysis of mice lacking all urea transporters.,
Kidney international, vol. 91 no. 2
(February, 2017),
pp. 338351 [doi] [abs]
Levine, Adam S.
 Baldwin, JA; Levine, AS; Sarkar, S, Khovanov homology and knot Floer homology for pointed links,
Journal of Knot Theory & Its Ramifications, vol. 26 no. 02
(February, 2017),
pp. 17400041740004 [doi]
Li, Lei
 Li, L; Liu, JG; Lu, J, Fractional Stochastic Differential Equations Satisfying FluctuationDissipation Theorem,
Journal of Statistical Physics, vol. 169 no. 2
(October, 2017),
pp. 316339 [doi]
 Li, L; Xu, X; Spagnolie, SE, A Locally GradientPreserving Reinitialization for Level Set Functions,
Journal of Scientific Computing, vol. 71 no. 1
(April, 2017),
pp. 274302 [doi]
 Li, L; Liu, JG, A note on deconvolution with completely monotone sequences and discrete fractional calculus,
Quarterly of Applied Mathematics
(2017),
pp. 11 [doi]
Li, Yingzhou
 Li, Y; Ying, L, Distributedmemory hierarchical interpolative factorization,
Research in the Mathematical Sciences, vol. 4 no. 1
(December, 2017) [doi]
 Zhang, L; Sun, L; Guan, Z; Lee, S; Li, Y; Deng, HD; Li, Y; Ahlborg, NL; Boloor, M; Melosh, NA; Chueh, WC, Quantifying and Elucidating Thermally Enhanced Minority Carrier Diffusion Length Using RadiusControlled Rutile Nanowires,
Nano Letters, vol. 17 no. 9
(September, 2017),
pp. 52645272 [doi]
 Li, Y; Yang, H; Ying, L, Multidimensional butterfly factorization,
Applied and Computational Harmonic Analysis
(April, 2017) [doi]
 Li, Y; Yang, H, Interpolative Butterfly Factorization,
SIAM Journal on Scientific Computing, vol. 39 no. 2
(January, 2017),
pp. A503A531 [doi]
Liu, JianGuo
 Li, L; Liu, JG; Lu, J, Fractional Stochastic Differential Equations Satisfying FluctuationDissipation Theorem,
Journal of Statistical Physics, vol. 169 no. 2
(October, 2017),
pp. 316339 [doi]
 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
(July, 2017),
pp. 291313 [doi]
 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
(July, 2017),
pp. 1325 [doi]
 Gao, Y; Liu, JG; Lu, J, Continuum Limit of a Mesoscopic Model with Elasticity of Step Motion on Vicinal Surfaces,
Journal of Nonlinear Science, vol. 27 no. 3
(June, 2017),
pp. 873926 [doi]
 Degond, P; Liu, JG; Pego, RL, Coagulation–Fragmentation Model for Animal GroupSize Statistics,
Journal of Nonlinear Science, vol. 27 no. 2
(April, 2017),
pp. 379424 [doi]
 Huang, H; Liu, JG, Error estimate of a random particle blob method for the KellerSegel equation,
Mathematics of Computation, vol. 86 no. 308
(February, 2017),
pp. 27192744 [doi]
 Liu, JG; Wang, J, Global existence for a thin film equation with subcritical mass,
Discrete and Continuous Dynamical Systems  Series B, vol. 22 no. 4
(February, 2017),
pp. 14611492 [doi]
 Gao, Y; Liu, JG; Lu, J, Weak Solution of a Continuum Model For Vicinal Surface in The AttachmentDetachmentLimited Regime,
SIAM Journal on Mathematical Analysis, vol. 49 no. 3
(January, 2017),
pp. 17051731 [doi]
 Liu, JG; Wang, J, A generalized Sz. Nagy inequality in higher dimensions and the critical thin film equation,
Nonlinearity, vol. 30 no. 1
(2017),
pp. 3560 [doi]
 Degond, P; Liu, JG; MerinoAceituno, S; Tardiveau, T, Continuum dynamics of the intention field under weakly cohesive social interaction,
Mathematical Models & Methods in Applied Sciences, vol. 27 no. 01
(January, 2017),
pp. 159182 [doi]
 Gao, Y; Liu, JG, Global Convergence of a Sticky Particle Method for the Modified CamassaHolm Equation,
SIAM Journal on Mathematical Analysis, vol. 49 no. 2
(January, 2017),
pp. 12671294 [doi]
 Liu, JG; Xu, X, Analytical Validation of a Continuum Model for the Evolution of a Crystal Surface in Multiple Space Dimensions,
SIAM Journal on Mathematical Analysis, vol. 49 no. 3
(January, 2017),
pp. 22202245 [doi]
 Huang, H; Liu, JG, Discreteintime random particle blob method for the Keller–Segel equation and convergence analysis,
Communications in Mathematical Sciences, vol. 15 no. 7
(2017),
pp. 18211842 [doi] [abs]
 Degond, P; Herty, M; Liu, JG, Meanfield games and model predictive control,
Communications in Mathematical Sciences, vol. 15 no. 5
(2017),
pp. 14031422 [doi]
Lu, Jianfeng
 Huang, Y; Lu, J; Ming, P, A Concurrent Global–Local Numerical Method for Multiscale PDEs,
Journal of Scientific Computing
(February, 2018),
pp. 128 [doi] [abs]
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