Mathematics : Publications since January 2016
List all publications in the database. :chronological alphabetical combined bibtex listing:
Abel, Michael
 HOMFLYPT homology for general link diagrams and braidlike isotopy
(June, 2016) [arxiv:1607.00314]
 with M. Hogancamp, Stable homology of torus links via categorified Young symmetrizers II: onecolumn partitions
(February, 2016) [arXiv:1510.05330]
Agarwal, Pankaj K.
 Agarwal, PK; Pan, J; Victor, W, An efficient algorithm for placing electric vehicle charging stations,
LIPIcs, vol. 64
(December, 2016),
pp. 7.17.12, ISBN 9783959770262 [doi] [abs]
 Ying, R; Pan, J; Fox, K; Agarwal, PK, A simple efficient approximation algorithm for dynamic time warping,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
(October, 2016), ISBN 9781450345897 [doi] [abs]
 Nath, A; Fox, K; Agarwal, PK; Munagala, K, Massively parallel algorithms for computing TIN DEMs and contour trees for large terrains,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
(October, 2016), ISBN 9781450345897 [doi] [abs]
 Agarwal, PK; Aronov, B; HarPeled, S; Phillips, JM; Yi, K; Zhang, W, NearestNeighbor Searching Under Uncertainty II,
ACM Transactions on Algorithms, vol. 13 no. 1
(October, 2016),
pp. 125 [doi]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Proceedings of the ACM SIGACTSIGMODSIGART Symposium on Principles of Database Systems, vol. 26June01July2016
(June, 2016),
pp. 465476, ISBN 9781450341912 [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A, Parallel algorithms for constructing range and nearestneighbor searching data structures,
Proceedings of the ACM SIGACTSIGMODSIGART Symposium on Principles of Database Systems, vol. 26June01July2016
(June, 2016),
pp. 429440, ISBN 9781450341912 [doi] [abs]
 Agarwal, PK; Fox, K; Pan, J; Ying, R, Approximating dynamic time warping and edit distance for a pair of point sequences,
LIPIcs, vol. 51
(June, 2016),
pp. 6.16.16 [doi] [abs]
 Yu, A; Agarwal, PK; Yang, J, Top$k$ Preferences in High Dimensions,
IEEE Transactions on Knowledge and Data Engineering, vol. 28 no. 2
(February, 2016),
pp. 311325, ISSN 10414347 [doi]
 Agarwal, PK; Fox, K; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Proceedings of the Annual ACMSIAM Symposium on Discrete Algorithms, vol. 2
(January, 2016),
pp. 11791192, ISBN 9781510819672 [abs]
 Pan, J; Rao, V; Agarwal, PK; Gelfand, AE, Markovmodulated marked poisson processes for checkin data,
33rd International Conference on Machine Learning, ICML 2016, vol. 5
(January, 2016),
pp. 33113320, ISBN 9781510829008 [abs]
Arlotto, Alessandro
 Arlotto, A; Steele, JM, A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming,
Mathematics of Operations Research, vol. 41 no. 4
(November, 2016),
pp. 14481468 [doi]
 Arlotto, A; Mossel, E; Steele, JM, Quickest online selection of an increasing subsequence of specified size,
Random Structures and Algorithms, vol. 49 no. 2
(September, 2016),
pp. 235252 [doi]
Beale, J. Thomas
 Beale, JT; Ying, W; Wilson, JR, A Simple Method for Computing Singular or Nearly Singular Integrals on Closed Surfaces,
Communications in computational physics, vol. 20 no. 03
(September, 2016),
pp. 733753 [doi]
Bendich, Paul L
 Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications,
IEEE Transactions on Aerospace and Electronic Systems, vol. 52 no. 6
(December, 2016),
pp. 26442661 [doi] [abs]
 Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data,
LIPIcs, vol. 51
(June, 2016),
pp. 65.165.5, ISBN 9783959770095 [doi] [abs]
 Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, S, Persistent Homology Analysis of Brain Artery Trees.,
The annals of applied statistics, vol. 10 no. 1
(January, 2016),
pp. 198218, ISSN 19326157 (to appear.) [repository], [doi] [abs]
 Paul Bendich, Ellen Gasparovic, John Harer, and Christopher J. Tralie, Scaffoldings and Spines: Organizing HighDimensional Data Using Cover Trees, Local Principal Component Analysis, and Persistent Homology
(2016) [1602.06245]
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, HL; Jauregui, JL; Mars, M, Time Flat Surfaces and the Monotonicity of the Spacetime Hawking Mass II,
Annales Henri Poincaré, vol. 17 no. 6
(July 26, 2015),
pp. 14571475, Springer Basel, ISSN 14240637 [arXiv:1402.3287 [math.DG]], [3287], [doi] [abs]
Bryant, Robert
(search)
 Bryant, RL; 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]
Daubechies, Ingrid
 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]
 Wu, HT; Lewis, GF; Davila, MI; Daubechies, I; Porges, SW, Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.,
Methods of information in medicine, vol. 55 no. 5
(October, 2016),
pp. 463472 [doi] [abs]
 Daubechies, I; Defrise, M; Mol, CD, Sparsityenforcing regularisation and ISTA revisited,
Inverse Problems, vol. 32 no. 10
(October, 2016),
pp. 104001104001 [doi]
 O'Neal, WT; Wang, YG; Wu, HT; Zhang, ZM; Li, Y; Tereshchenko, LG; Estes, EH; Daubechies, I; Soliman, EZ, Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study).,
The American Journal of Cardiology, vol. 118 no. 6
(September, 2016),
pp. 811815 [doi] [abs]
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, Xray image separation via coupled dictionary learning,
Proceedings / ICIP ... International Conference on Image Processing, vol. 2016August
(August, 2016),
pp. 35333537, ISBN 9781467399616 [doi] [abs]
 Yin, R; Monson, E; Honig, E; Daubechies, I; Maggioni, M, Object recognition in art drawings: Transfer of a neural network,
IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2016May
(May, 2016),
pp. 22992303, ISSN 15206149, ISBN 9781479999880 [doi] [abs]
 Daubechies, I; Wang, YG; Wu, HT, ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.,
Philosophical Transactions A, vol. 374 no. 2065
(April, 2016),
pp. 20150193, ISSN 1364503X [doi] [abs]
 Huang, NE; Daubechies, I; Hou, TY, Adaptive data analysis: theory and applications.,
Philosophical Transactions A, vol. 374 no. 2065
(April, 2016),
pp. 20150207, ISSN 1364503X [doi]
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
SIAM Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
Dolbow, John E.
 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.
 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]
 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
(February, 2017),
pp. 138 [doi]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics
(January, 2017) [doi] [abs]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
 Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB, Nonparametric Bayes modeling with sample survey weights,
Statistics & Probability Letters, vol. 113
(June, 2016),
pp. 4148 [doi]
 Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling.,
Biometrika, vol. 103 no. 2
(June, 2016),
pp. 319335 [doi] [abs]
 Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression,
Journal of machine learning research : JMLR, vol. 17
(May, 2016) [abs]
 Kabisa, ST; Dunson, DB; Morris, JS, Online Variational Bayes Inference for HighDimensional Correlated Data,
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 25 no. 2
(April, 2016),
pp. 426444 [doi]
 Yang, Y; Dunson, DB, Bayesian manifold regression,
Annals of statistics, vol. 44 no. 2
(April, 2016),
pp. 876905 [doi]
 Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB, Nonparametric Bayes modeling for case control studies with many predictors.,
Biometrics, vol. 72 no. 1
(March, 2016),
pp. 184192 [doi] [abs]
 Tang, K; Dunson, DB; Su, Z; Liu, R; Zhang, J; Dong, J, Subspace segmentation by dense block and sparse representation.,
Neural Networks, vol. 75
(March, 2016),
pp. 6676 [doi] [abs]
 Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence,
Biometrika, vol. 103 no. 1
(March, 2016),
pp. 3547 [doi]
 Van Den Boom, W; Dunson, D; Reeves, G, Quantifying uncertainty in variable selection with arbitrary matrices,
2015 IEEE 6th International Workshop on Computational Advances in MultiSensor Adaptive Processing, CAMSAP 2015
(January, 2016),
pp. 385388, ISBN 9781479919635 [doi] [abs]
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
SIAM Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
 Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in highdimensional linear models,
33rd International Conference on Machine Learning, ICML 2016, vol. 4
(January, 2016),
pp. 26852706, ISBN 9781510829008 [abs]
Durrett, Richard T.
 Bessonov, M; Durrett, R, Phase transitions for a planar quadratic contact process,
Advances in Applied Mathematics, vol. 87
(June, 2017),
pp. 82107 [doi]
 Durrett, R; Fan, WTL, Genealogies in expanding populations,
The annals of applied probability : an official journal of the Institute of Mathematical Statistics, vol. 26 no. 6
(December, 2016),
pp. 34563490 [doi]
 Cox, JT; Durrett, R, Evolutionary games on the torus with weak selection,
Stochastic Processes and their Applications, vol. 126 no. 8
(August, 2016),
pp. 23882409 [doi]
 Ryser, MD; Worni, M; Turner, EL; Marks, JR; Durrett, R; Hwang, ES, Outcomes of Active Surveillance for Ductal Carcinoma in Situ: A Computational Risk Analysis.,
Journal of the National Cancer Institute, vol. 108 no. 5
(May, 2016) [doi] [abs]
 Durrett, R; Foo, J; Leder, K, Spatial Moran models, II: cancer initiation in spatially structured tissue.,
Journal of Mathematical Biology, vol. 72 no. 5
(April, 2016),
pp. 13691400, ISSN 03036812 [doi] [abs]
Fernandes de Oliveira, Goncalo M.
 Oliveira, G, Gerbes on G2 manifolds,
Journal of Geometry and Physics, vol. 114
(April, 2017),
pp. 570580 [doi]
 Oliveira, G, G 2Monopoles with Singularities (Examples),
Letters in Mathematical Physics, vol. 106 no. 11
(November, 2016),
pp. 14791497 [doi]
 Oliveira, G, Monopoles on AC 3manifolds,
Journal of the London Mathematical Society, vol. 93 no. 3
(June, 2016),
pp. 785810, ISSN 00246107 [jlms.jdw017.abstract], [doi]
 Oliveira, G, Calabi–Yau Monopoles for the Stenzel Metric,
Communications in Mathematical Physics, vol. 341 no. 2
(January, 2016),
pp. 699728, ISSN 00103616 [repository], [doi]
Getz, Jayce R.
 Getz, JR, A fourvariable automorphic kernel function,
Research in the Mathematical Sciences, vol. 3 no. 1
(December, 2016) [doi]
Hahn, Heekyoung
 Hahn, H, On classical groups detected by the triple tensor products and the LittlewoodRichardson semigroup,
Reserch in Number Theory, vol. 2 no. 1
(June, 2016),
pp. 112
 Hahn, H, On tensor third $L$functions of automorphic representations of $GL_n(\mathbb {A}_F)$,
Proceedings of the American Mathematical Society, vol. 144 no. 12
(May, 2016),
pp. 50615069 [doi]
 H. Hahn, On tensor thrid Lfunctions of automorphic representations of GL_n(A_F),
Proc. Amer. Math. Soc.
(2016)
 H. Hahn, On classical groups detected by the triple tensor product and the LittlewoodRichardson semigroup
(2016)
Hain, Richard
(search)
 Arapura, D; Dimca, A; Hain, R, On the fundamental groups of normal varieties,
Communications in Contemporary Mathematics, vol. 18 no. 04
(August, 2016),
pp. 15500651550065, ISSN 02191997 [doi]
 Hain, R, Notes on the Universal Elliptic KZB Equation,
Pure and Applied Mathematics Quarterly, vol. 12 no. 2
(July, 2016), International Press [arXiv:1309.0580], [1309.0580v3] [abs]
 Hain, R, The Hodgede Rham theory of modular groups,
in Recent Advances in Hodge Theory Period Domains, Algebraic Cycles, and Arithmetic, edited by Kerr, M; Pearlstein, G, vol. 427
(January, 2016),
pp. 422514, Cambridge University Press, ISBN 110754629X
 Hain, R; Matsumoto, M, Universal Mixed Elliptic Motives
(December, 2015) [arxiv:1512.03975] [abs]
 Hain, R, DeligneBeilinson Cohomology of Affine Groups
(July, 2015) [arXiv:1507.03144] [abs]
Harer, John
 Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications,
IEEE Transactions on Aerospace and Electronic Systems, vol. 52 no. 6
(December, 2016),
pp. 26442661 [doi] [abs]
 McGoff, KA; Guo, X; Deckard, A; Kelliher, CM; Leman, AR; Francey, LJ; Hogenesch, JB; Haase, SB; Harer, JL, The Local Edge Machine: inference of dynamic models of gene regulation.,
Genome Biology: biology for the postgenomic era, vol. 17 no. 1
(October, 2016),
pp. 214 [abs]
 Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data,
LIPIcs, vol. 51
(June, 2016),
pp. 65.165.5, ISBN 9783959770095 [doi] [abs]
Hodel, Richard E.
 with Donald W. Loveland, Richard E. Hodel, S.G. Sterrett, Three Views of Logic: Mathematics, Philosophy, Computer Science
(2016)
Ji, Hangjie
 Y. Gao, H. Ji, J. Liu, T. P. Witelski, Global existence of solutions to a tear film model with locally elevated evaporation rates
(2017) [arXiv:1701.00853]
 H. Ji, T. P. Witelski, Finitetime thin film rupture driven by generalized evaporative loss,
Physica D: Nonlinear Phenomena
(2016) [arXiv:1601.03625]
Junge, Matthew S
 Hoffman, C; Johnson, T; Junge, M, From transience to recurrence with Poisson tree frogs,
The annals of applied probability : an official journal of the Institute of Mathematical Statistics, vol. 26 no. 3
(June, 2016),
pp. 16201635 [doi]
 Benjamini, I; Foxall, E; GurelGurevich, O; Junge, M; Kesten, H, Site recurrence for coalescing random walk,
Electronic Communications in Probability, vol. 21
(2016) [doi]
 Johnson, T; Junge, M, The critical density for the frog model is the degree of the tree,
Electronic Communications in Probability, vol. 21
(2016) [doi]
Layton, Anita T.
 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]
 Layton, AT; Laghmani, K; Vallon, V; Edwards, A, Solute transport and oxygen consumption along the nephrons: effects of Na+ transport inhibitors.,
American Journal of Physiology: Renal Physiology, vol. 311 no. 6
(December, 2016),
pp. F1217F1229 [doi] [abs]
 Layton, AT; Vallon, V; Edwards, A, A computational model for simulating solute transport and oxygen consumption along the nephrons.,
American Journal of Physiology: Renal Physiology, vol. 311 no. 6
(December, 2016),
pp. F1378F1390 [doi] [abs]
 Sgouralis, I; Kett, MM; Ow, CPC; Abdelkader, A; Layton, AT; Gardiner, BS; Smith, DW; Lankadeva, YR; Evans, RG, Bladder urine oxygen tension for assessing renal medullary oxygenation in rabbits: experimental and modeling studies.,
American journal of physiology. Regulatory, integrative and comparative physiology, vol. 311 no. 3
(September, 2016),
pp. R532R544 [doi] [abs]
 Layton, AT, Recent advances in renal hypoxia: insights from bench experiments and computer simulations.,
American Journal of Physiology: Renal Physiology, vol. 311 no. 1
(July, 2016),
pp. F162F165 [doi] [abs]
 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
(June, 2016) [abs]
 Layton, AT; Vallon, V; Edwards, A, Predicted consequences of diabetes and SGLT inhibition on transport and oxygen consumption along a rat nephron.,
American Journal of Physiology: Renal Physiology, vol. 310 no. 11
(June, 2016),
pp. F1269F1283 [doi] [abs]
 Liu, R; Layton, AT, Modeling the effects of positive and negative feedback in kidney blood flow control.,
Mathematical Biosciences, vol. 276
(2016),
pp. 818 [doi] [abs]
 Chen, Y; Fry, BC; Layton, AT, Modeling Glucose Metabolism in the Kidney.,
Bulletin of Mathematical Biology, vol. 78 no. 6
(June, 2016),
pp. 13181336 [doi] [abs]
 Nganguia, H; Young, YN; Layton, AT; Lai, MC; Hu, WF, Electrohydrodynamics of a viscous drop with inertia.,
Physical review. E, vol. 93 no. 5
(May, 2016),
pp. 053114 [doi] [abs]
 Sgouralis, I; Maroulas, V; Layton, AT, Transfer Function Analysis of Dynamic Blood Flow Control in the Rat Kidney.,
Bulletin of Mathematical Biology, vol. 78 no. 5
(May, 2016),
pp. 923960 [doi] [abs]
 Herschlag, G; Liu, JG; Layton, AT, Fluid extraction across pumping and permeable walls in the viscous limit,
Physics of Fluids, vol. 28 no. 4
(April, 2016),
pp. 041902041902 [doi]
 Sgouralis, I; Layton, AT, Conduction of feedbackmediated signal in a computational model of coupled nephrons.,
Mathematical Medicine and Biology: A Journal of the IMA, vol. 33 no. 1
(March, 2016),
pp. 87106 [doi] [abs]
 Fry, BC; Edwards, A; Layton, AT, Impact of nitricoxidemediated vasodilation and oxidative stress on renal medullary oxygenation: a modeling study.,
American Journal of Physiology: Renal Physiology, vol. 310 no. 3
(2016),
pp. F237F247 [doi] [abs]
 Xie, L; Layton, AT; Wang, N; Larson, PEZ; Zhang, JL; Lee, VS; Liu, C; Johnson, GA, Dynamic contrastenhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function.,
American Journal of Physiology: Renal Physiology, vol. 310 no. 2
(2016),
pp. F174F182 [doi] [abs]
Liu, JianGuo
 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]
 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]
 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]
 W. Cong and J.G. Liu, Uniform $L^\infty$ boundedness for a degenerate parabolicparabolic KellerSegel model,
Discrete and Continuous Dynamical Systems  Series B, vol. 22
(2017),
pp. 307338
 J.G. Liu and J. Wang, A generalized Sz. Nagy inequality in higher dimensions and the critical thin film equation,
Nonlinearity, vol. 30
(2017),
pp. 3560
 Huang, H; Liu, JG, A note on Monge–Ampère Keller–Segel equation,
Applied Mathematics Letters, vol. 61
(November, 2016),
pp. 2634 [doi]
 Huang, H; Liu, JG, Error estimates of the aggregationdiffusion splitting algorithms for the KellerSegel equations,
Discrete and Continuous Dynamical Systems  Series B, vol. 21 no. 10
(November, 2016),
pp. 34633478 [doi]
 Liu, JG; Huang, H, Wellposedness for the KellerSegel equation with fractional Laplacian and the theory of propagation of chaos,
Kinetic and Related Models, vol. 9 no. 4
(September, 2016),
pp. 715748 [doi]
 Liu, JG; Cong, W, A degenerate $p$Laplacian KellerSegel model,
Kinetic and Related Models, vol. 9 no. 4
(September, 2016),
pp. 687714 [doi]
 Liu, JG; Wang, J, A Note on L ∞ $L^{\infty}$ Bound and Uniqueness to a Degenerate KellerSegel Model,
Acta Applicandae Mathematicae, vol. 142 no. 1
(April, 2016),
pp. 173188, ISSN 01678019 [doi]
 Herschlag, G; Liu, JG; Layton, AT, Fluid extraction across pumping and permeable walls in the viscous limit,
Physics of Fluids, vol. 28 no. 4
(April, 2016),
pp. 041902041902, ISSN 10706631 [doi]
 Liu, JG; Pego, RL, On generating functions of Hausdorff moment sequences,
Transactions of the American Mathematical Society, vol. 368 no. 12
(February, 2016),
pp. 84998518 [doi]
 Liu, JG; Xu, X, Existence Theorems for a Multidimensional Crystal Surface Model,
SIAM Journal on Mathematical Analysis, vol. 48 no. 6
(January, 2016),
pp. 36673687 [doi]
 Liu, JG; Zhang, Y, Convergence of diffusiondrift many particle systems in probability under a sobolev norm, Proceedings of Particle Systems and Partial Differential Equations  III, vol. 162
(January, 2016),
pp. 195223, Springer, ISBN 9783319321424 [doi] [abs]
 J.G. Liu and R. Yang, Propagation of chaos for large Brownian particle system with Coulomb interaction,
Research in the Mathematical Sciences, vol. 3 no. 40
(2016)
 J. Chen, J.G. Liu and Z. Zhou, On a SchrodingerLandauLifshitz system: Variational struc ture and numerical methods,
Multiscale Modeling and Simulation, vol. 14
(2016),
pp. 14631487
 Y. Duan and J.G. Liu, Error estimate of the particle method for the bequation,
Methods and Applications of Analysis, vol. 23
(2016),
pp. 119154
 J.G. Liu and Y. Zhang, Convergence of stochastic interacting particle systems in probability under a Sobolev norm,
Annals of Mathematical Sciences and Applications, vol. 1
(2016),
pp. 251299
 P. Degond, J.G. Liu, S. MerinoAceituno, T. Tardiveau, Continuum dynamics of the intention field under weakly cohesive social interactions,
Math. Models Methods Appl. Sci.
(2016)
 H. Huang and J.G. Liu, Error estimate of a random particle blob method for the KellerSegel equation,
Math. Comp.
(2016)
 Y. Gao, J.G. Liu, J. Lu, Continuum limit of a mesoscopic model of step motion on vicinal surfaces,
J. Nonlinear Science
(2016)
 J.G. Liu and J. Wang, Refined hypercontractivity and uniqueness for the KellerSegel equations,
Applied Math Letter, vol. 52
(2016),
pp. 212219
Lu, Jianfeng
 Lu, J; Yang, H, A cubic scaling algorithm for excited states calculations in particle–particle random phase approximation,
Journal of Computational Physics, vol. 340
(July, 2017),
pp. 297308 [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]
 Lu, J; Thicke, K, Orbital minimization method with ℓ 1 regularization,
Journal of Computational Physics, vol. 336
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