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.
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The Lifecycle and Cascade of WeChat Social Messaging Groups
TL;DR: Wang et al. as discussed by the authors analyzed the daily usage logs from WeChat group messaging platform to understand the processes by which social messaging groups come together, grow new members, and evolve over time.
Proceedings ArticleDOI
An effective approach for mining mobile user habits
TL;DR: This paper proposes a novel approach for behavior pattern mining which takes context logs as time ordered sequences of context records and takes into account the co-occurrences of contexts and interaction records in the whole time ranges of contexts.
Proceedings ArticleDOI
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu,Yu Zhang,Qiang Yang +2 more
TL;DR: In this paper, a Transfer Meeting Hybrid (TMH) model was proposed for cross-domain recommendation with unstructured text, which attentively extracts useful content from text via a memory network and selectively transfers knowledge from a source domain via a transfer network.
Journal ArticleDOI
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization
TL;DR: A classifier-assisted level- based learning swarm optimizer on the basis of the level-based learning swarm Optimizer (LLSO) and the gradient boosting classifier (GBC) to improve the robustness and scalability of SAEAs.
Journal ArticleDOI
PMU Placement in Electric Transmission Networks for Reliable State Estimation Against False Data Injection Attacks
TL;DR: The numerical result confirms that the FDI attack can significantly degrade the state estimation and the cyber security can be improved by an appropriate placement of a limited number of additional PMUs.