| Discrete solitons and scattering of lattice waves in guiding arrays with a nonlinear PT-symmetric defect X Zhang, J Chai, J Huang, Z Chen, Y Li, BA Malomed Optics Express 22 (11), 13927-13939, 2014 | 39 | 2014 |
| Discrete solitons in self-defocusing systems with PT-symmetric defects Z Chen, J Huang, J Chai, X Zhang, Y Li, BA Malomed Physical Review A 91 (5), 053821, 2015 | 23 | 2015 |
| Accelerating Markov random field inference using molecular optical Gibbs sampling units S Wang, X Zhang, Y Li, R Bashizade, S Yang, C Dwyer, AR Lebeck ACM SIGARCH Computer Architecture News 44 (3), 558-569, 2016 | 22 | 2016 |
| Architecting a stochastic computing unit with molecular optical devices X Zhang, R Bashizade, C LaBoda, C Dwyer, AR Lebeck 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 18 | 2018 |
| Transmission, reflection, scattering, and trapping of traveling discrete solitons by and point defects JH Huang, HJ Li, XY Zhang, YY Li Frontiers of Physics 10 (2), 215-221, 2015 | 17 | 2015 |
| Antisymmetry breaking of discrete dipole gap solitons induced by a phase-slip defect X Zhang, J Chai, D Ou, Y Li Modern Physics Letters B 28 (12), 1450097, 2014 | 13 | 2014 |
| All-optical diode realized by one-dimensional waveguide array Z Peng, H Li, Z Fan, X Zhang, Y Li Journal of Nonlinear Optical Physics & Materials 24 (02), 1550022, 2015 | 12 | 2015 |
| Statistical robustness of Markov chain Monte Carlo accelerators X Zhang, R Bashizade, Y Wang, S Mukherjee, AR Lebeck Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 10 | 2021 |
| Beyond application end-point results: Quantifying statistical robustness of mcmc accelerators X Zhang, R Bashizade, Y Wang, C Lyu, S Mukherjee, AR Lebeck arXiv preprint arXiv:2003.04223, 2020 | 8 | 2020 |
| Accelerating Markov Random Field Inference with Uncertainty Quantification R Bashizade, X Zhang, S Mukherjee, AR Lebeck arXiv preprint arXiv:2108.00570, 2021 | 2 | 2021 |
| A case for quantifying statistical robustness of specialized probabilistic AI accelerators X Zhang, S Mukherjee, AR Lebeck arXiv preprint arXiv:1910.12346, 2019 | 1 | 2019 |
| Rolling dice at the nanoscale X Zhang, R Bashizade XRDS: Crossroads, The ACM Magazine for Students 26 (1), 18-22, 2019 | 1 | 2019 |
| Accelerating Probabilistic Computing with a Stochastic Processing Unit X Zhang Duke University, 2020 | | 2020 |
| Optimizing Markov Random Field Inference via Event-Driven Gibbs Sampling for GPUs R Bashizade, X Zhang, S Mukherjee, AR Lebeck | | |
Alvin R. LebeckProfessor Computer Science and Electrical and Computer Engineering, Duke UniversityEmail verificata su cs.duke.edu
