Math @ Duke

Mathematics Grad: Publications since January 2020
List all publications in the database. :recent first alphabetical combined bibtex listing:
An, Chen
 An, C, ℓtorsion in class groups of certain families of D4quartic fields, edited by Wood, M,
Journal De Theorie Des Nombres De Bordeaux, vol. 32 no. 1
(August, 2020),
pp. 123, Universite de Bordeaux
Liu, Zibu
 Li, L; Li, Y; Liu, JG; Liu, Z; Lu, J, A stochastic version of stein variational gradient descent for efficient sampling,
Communications in Applied Mathematics and Computational Science, vol. 15 no. 1
(January, 2020),
pp. 3763, Mathematical Sciences Publishers [doi] [abs]
Stubbs, Kevin
 Brandsen, S; Lian, M; Stubbs, KD; Rengaswamy, N; Pfister, HD, Adaptive Procedures for Discriminating Between Arbitrary TensorProduct Quantum States,
Ieee International Symposium on Information Theory Proceedings, vol. 2020June
(June, 2020),
pp. 19331938 [doi] [abs]
 Brandsen, S; Stubbs, KD; Pfister, HD, Reinforcement Learning with Neural Networks for Quantum Multiple Hypothesis Testing,
Ieee International Symposium on Information Theory Proceedings, vol. 2020June
(June, 2020),
pp. 18971902, ISBN 9781728164328 [doi] [abs]
 Stubbs, KD; Watson, AB; Lu, J, Iterated projected position algorithm for constructing exponentially localized generalized Wannier functions for periodic and nonperiodic insulators in two dimensions and higher,
Physical Review B, vol. 103 no. 7
(February, 2021) [doi] [abs]
Wang, Lihan
 Jianfeng Lu and Lihan Wang, On explicit L2convergence rate estimate for piecewise deterministic Markov processes in MCMC algorithms
(July, 2020) [arxiv: 2007.14927]
 Jianfeng Lu and Lihan Wang, Complexity of zigzag sampling algorithm for strongly logconcave distributions
(December, 2020) [arXiv: 2012.11094]
 Lei Li, Jianfeng Lu, Jonathan Mattingly and Lihan Wang, Numerical methods for stochastic differential equations based on Gaussian mixture,
Communications in Mathematical Sciences
(February, 2021) [1812.11932]
 Yu Cao, Jianfeng Lu and Lihan wang, Complexity of randomized algorithms for underdamped Langevin dynamics,
Communications in Mathematical Sciences
(March, 2021) [2003.09906]
Wang, Zhe
 Lu, J; Wang, Z, The full configuration interaction quantum monte carlo method through the lens of inexact power iteration,
Siam Journal on Scientific Computing, vol. 42 no. 1
(January, 2020),
pp. B1B29 [doi] [abs]
Zhou, Mo
 Han, J; Lu, J; Zhou, M, Solving highdimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach,
Journal of Computational Physics, vol. 423
(December, 2020) [doi] [abs]


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

