Q
Qiang He
Researcher at Swinburne University of Technology
Publications - 547
Citations - 13588
Qiang He is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 50, co-authored 389 publications receiving 8498 citations. Previous affiliations of Qiang He include Huazhong University of Science and Technology & Shanghai Jiao Tong University.
Papers
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Book ChapterDOI
Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection
Xuyun Zhang,Mahsa Salehi,Christopher Leckie,Yun Luo,Qiang He,Rui Zhou,Ramamohanarao Kotagiri +6 more
TL;DR: Density biased sampling for outlier detection is formally investigated, a novel density biased sampling approach is proposed, and Locality Sensitive Hashing is used for counting the nearest neighbours of a point to attain scalable density estimation.
Journal ArticleDOI
Assessing the Runoff Reduction Potential of Highway Swales and WinSLAMM as a Predictive Tool
TL;DR: In this paper, a highway median swale, located on Asheville Highway, Knoxville, Tennessee, was monitored for hydrology over an 11-month period, and the results indicated that 87.2% of runoff volume was sequestered by the swale.
Journal ArticleDOI
Axiomatic fuzzy set theory-based fuzzy oblique decision tree with dynamic mining fuzzy rules
TL;DR: The FRODT exhibits better classification performance on accuracy and tree size than those of the rival algorithms and recently proposed decision tree HHCART on 20 UCI data sets.
Posted Content
PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks.
TL;DR: PA-Cache weights a large set of critical features to train the neural network in an evolving manner so as to meet the edge requests with fluctuations and bursts and improves the hit rate in comparison with state-of-the-art methods at a lower computational cost.
Journal ArticleDOI
Distributed fault-tolerant output regulation for heterogeneous linear multi-agent systems under actuator faults
TL;DR: This study investigates the distributed fault-tolerant output regulation for heterogeneous linear multi-agent systems in the presence of actuator faults and proposes a distributed fixed-time observer to observe the state of exosystem.