Mathematics Faculty: Publications since January 2016
List all publications in the database. :recent first alphabetical combined bibtex listing:
Abel, Michael
 with M. Hogancamp, Stable homology of torus links via categorified Young symmetrizers II: onecolumn partitions
(February, 2016) [arXiv:1510.05330]
 HOMFLYPT homology for general link diagrams and braidlike isotopy
(June, 2016) [arxiv:1607.00314]
Agarwal, Pankaj K.
 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]
 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; 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]
 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; 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]
 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; 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]
Arlotto, Alessandro
 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]
 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]
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
 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]
 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]
 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; 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]
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
 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]
 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; 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]
 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]
 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]
 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]
 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]
 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]
Dolbow, John E.
 Stershic, AJ; Dolbow, JE; Moës, N, The Thick LevelSet model for dynamic fragmentation,
Engineering Fracture Mechanics, vol. 172
(March, 2017),
pp. 3960 [doi]
 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]
Dunson, David B.
 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]
 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]
 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]
 Yang, Y; Dunson, DB, Bayesian manifold regression,
Annals of statistics, vol. 44 no. 2
(April, 2016),
pp. 876905 [doi]
 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]
 Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression,
Journal of machine learning research : JMLR, vol. 17
(May, 2016) [abs]
 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]
 Lin, L; St. Thomas, B; Zhu, H; Dunson, DB, Extrinsic Local Regression on ManifoldValued Data,
Journal of the American Statistical Association
(July, 2016),
pp. 113 [doi]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics
(January, 2017) [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]
 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]
Durrett, Richard T.
 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]
 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]
 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]
 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]
 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, Calabi–Yau Monopoles for the Stenzel Metric,
Communications in Mathematical Physics, vol. 341 no. 2
(January, 2016),
pp. 699728, ISSN 00103616 [repository], [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, G 2Monopoles with Singularities (Examples),
Letters in Mathematical Physics, vol. 106 no. 11
(November, 2016),
pp. 14791497 [doi]
 Oliveira, G, Gerbes on G2 manifolds,
Journal of Geometry and Physics, vol. 114
(April, 2017),
pp. 570580 [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
 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)
 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]
 Hahn, H, On Classical groups detected by the triple tensor product and the Littlewood–Richardson semigroup,
Research in Number Theory, vol. 2 no. 1
(December, 2016),
pp. 112 [doi]
Hain, Richard
(search)
 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]
 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, 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]
 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]
Harer, John
 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]
 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; 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]
Hodel, Richard E.
 with Donald W. Loveland, Richard E. Hodel, S.G. Sterrett, Three Views of Logic: Mathematics, Philosophy, Computer Science
(2016)
Junge, Matthew S
 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]
 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]
Layton, Anita T.
 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]
 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]
 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]
 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; 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]
 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]
 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]
 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, 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; 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; 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]
 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, A new microscope for the kidney: mathematics.,
American Journal of Physiology: Renal Physiology, vol. 312 no. 4
(April, 2017),
pp. F671F672 [doi]
 Chen, Y; Fry, BC; Layton, AT, Modeling glucose metabolism and lactate production in the kidney.,
Mathematical Biosciences, vol. 289
(May, 2017),
pp. 116129 [doi] [abs]
Liu, JianGuo
 J.G. Liu and J. Wang, Refined hypercontractivity and uniqueness for the KellerSegel equations,
Applied Math Letter, vol. 52
(2016),
pp. 212219
 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)
 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]
 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; 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; 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]
 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]
 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
 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]
 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; Pego, RL, Coagulation–Fragmentation Model for Animal GroupSize Statistics,
Journal of Nonlinear Science, vol. 27 no. 2
(April, 2017),
pp. 379424 [doi]
Lu, Jianfeng
 Delgadillo, R; Lu, J; Yang, X, GaugeInvariant Frozen Gaussian Approximation Method for the Schrödinger Equation with Periodic Potentials,
SIAM Journal on Scientific Computing, vol. 38 no. 4
(January, 2016),
pp. A2440A2463 [doi]
 Chen, J; Lu, J, Analysis of the divideandconquer method for electronic structure calculations,
Mathematics of Computation, vol. 85 no. 302
(January, 2016),
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