Min Huang
Northeastern University (China)
790 Papers
2.3K Citations
Min Huang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 48, co-authored 694 publications. Previous affiliations of Min Huang include Northeastern University & Sun Yat-sen University.
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Papers
CAOM: A community-based approach to tackle opinion maximization for social networks
TL;DR: A Community-based Approach for the OMP (CAOM) is proposed, including: community detection, selection of candidate nodes and generation of seed nodes, and the significant communities are devised to reduce the computational complexity effectively and distribute seed nodes into the reasonable communities.
Multi-objective optimization controller placement problem in internet-oriented software defined network
TL;DR: This paper uses Adaptive Bacterial Foraging Optimization (ABFO) algorithm and redefine its computation rules to solve the Multi-objective Optimization Controller Placement (MOCP) problem, which focuses on achieving high network reliability, load balance among controllers, and low latency among controllers and switches.
High-fidelity visualization of formation of volume nanogratings in porous glass by femtosecond laser irradiation
Yang Liao,Jielei Ni,Lingling Qiao,Min Huang,Yves Bellouard,Koji Sugioka,Ya Cheng +6 more
- 20 Apr 2015
TL;DR: In this article, the formation of self-organized nanogratings in bulk glasses with femtosecond laser pulses is studied, and it is shown that the excitation of standing plasma waves at the interfaces between areas modified and unmodified by the femto-cond laser irradiation plays a crucial role in promoting the growth of periodic nanogrates.
Binary grey wolf optimizer with a novel population adaptation strategy for feature selection
TL;DR: Zhang et al. as discussed by the authors proposed an improved binary GWO algorithm incorporating a novel population adaptation strategy called PA-BGWO, which takes into account the characteristics of the feature selection problem and designs three strategies.
ACO-inspired ICN Routing Scheme with Density-Based Spatial Clustering
Jianhui Lv,Xingwei Wang,Min Huang +2 more
- 20 Oct 2017
TL;DR: This paper proposes a new Ant Colony Optimization-inspired Information-Centric Networking (ICN) routing scheme with Density-based Spatial Clustering (DSC), and shows that it has better performance than the benchmark scheme.