Q
Qiang Yang
Researcher at Hong Kong University of Science and Technology
Publications - 1795
Citations - 96705
Qiang Yang is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 112, co-authored 1117 publications receiving 71540 citations. Previous affiliations of Qiang Yang include University of London & Zhejiang University of Technology.
Papers
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Journal ArticleDOI
OceanST: a distributed analytic system for large-scale spatiotemporal mobile broadband data
Mingxuan Yuan,Ke Deng,Jia Zeng,Yanhua Li,Bing Ni,Xiuqiang He,Fei Wang,Wenyuan Dai,Qiang Yang +8 more
TL;DR: A new, MBB data tailored, distributed analytic system named OceanST which has addressed a series of problems and weaknesses of the existing systems, originally designed for more general purpose and capable to handleMBB data to some extent is presented.
Proceedings ArticleDOI
Efficient and Effective Express via Contextual Cooperative Reinforcement Learning
Yexin Li,Yu Zheng,Qiang Yang +2 more
TL;DR: A reinforcement learning based framework to learn a courier management policy and a Contextual Cooperative Reinforcement Learning (CCRL) model is proposed to guide where should each courier deliver and serve in each short period of time.
Journal ArticleDOI
Coronas of micro/nano plastics: a key determinant in their risk assessments
Jiayu David Cao,Qiang Yang,Jie Jiang,Tatenda Dalu,Aliaksei Kadushkin,Joginder Singh,Rawil Fakhrullin,Fangjun Wang,Xiaoming Cai,Ruibin Li +9 more
TL;DR: In this article , a review summarizes recent progress on the eco-coronas and bio-Coronas of micro/nanoplastics and further discusses the analytical methods to interpret corona structures, highlights the impacts of the corona on toxicity and provides future perspectives.
Journal ArticleDOI
Does technical progress curb India's carbon emissions? A novel approach of combining extended index decomposition analysis and production-theoretical decomposition analysis.
Qiang Yang,Xinyu Han,Rongrong Li +2 more
TL;DR: In this paper , an empirical study of India's carbon emissions was conducted to understand the effects of various technical factors on total and industrial carbon emission intensity in 56 sectors of India by combining index decomposition analysis (IDA) and production-theoretical decomposition analyses (PDA).