activity
20132018
most citedDifferential Neutrino Condensation onto Cosmic Structure

39 citations · 120 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2018★ 6 cited

Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data

Dezhi Wang, Lilun Zhang, Changchun Bao +3

Sound event detection (SED) is typically posed as a supervised learning problem requiring training data with strong temporal labels of sound events. However, the production of data…

cs.SD2018★ 4 cited

Environmental Sound Classification Based on Multi-temporal Resolution Convolutional Neural Network Combining with Multi-level Features

Boqing Zhu, Kele Xu, Dezhi Wang +3

Motivated by the fact that characteristics of different sound classes are highly diverse in different temporal scales and hierarchical levels, a novel deep convolutional neural net…

cs.CV2018★ 7 cited

Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network

Kele Xu, Dawei Feng, Haibo Mi +5

Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years. However, it remains challenging and f…

cs.CE2017

Improved Algorithm for Reconstructing Singular Connection in Multi-Block CFD Applications

Wang Yong-Xian, Zhang Li-Lun, Che Yong-Gang +4

An improved algorithm is proposed for the reconstruction of singular connectivity from the available pairwise connections during preprocessing phase. To evaluate the performance of…

cs.PF2017★ 27 cited

Performance optimizations for scalable CFD applications on hybrid CPU+MIC heterogeneous computing system with millions of cores

Yong-Xian Wang, Li-Lun Zhang, Wei Liu +3

For computational fluid dynamics (CFD) applications with a large number of grid points/cells, parallel computing is a common efficient strategy to reduce the computational time. Ho…

astro-ph.CO2016★ 39 cited

Differential Neutrino Condensation onto Cosmic Structure

Hao-Ran Yu, J. D. Emberson, Derek Inman +12

Astrophysical techniques have pioneered the discovery of neutrino mass properties. Current cosmological observations give an upper bound on neutrino masses by attempting to disenta…

cs.DC2013★ 37 cited

An Empirical Study of Intel Xeon Phi

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips +3

With at least 50 cores, Intel Xeon Phi is a true many-core architecture. Featuring fairly powerful cores, two cache levels, and very fast interconnections, the Xeon Phi can get a t…