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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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Synchronization Criterion and Control Scheme for Lur'e Type Complex Dynamical Networks with Switching Topology and Coupling Time‐Varying Delay

TL;DR: Based on the Lyapunov-Krasovskii theory and linear matrix inequality (LMI) technique, a delay-dependent synchronization criterion and a decentralized state feedback dynamic controller for synchronization of CSNs have been proposed in this article.
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Outer Synchronization between Complex Networks with Nonlinear Time-Delay Characteristics and Time-Varying Topological Structures

TL;DR: Based on the classic Lyapunov stability theory, the synchronization criteria and adaptive control strategy are presented, respectively, by adopting an appropriate LyAPunov-Krasovskii energy function and the convergence of the system error can also be well proved as discussed by the authors.
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Compressive stress and shear stress on the deformation mechanism of Mg-13Gd-4Y-2Zn-0.5Zr alloy at different deformation temperatures

TL;DR: In this paper , the internal deformation mechanism of the Mg-13Gd-4Y-2Zn-0.5Zr alloy under two stress states at different deformation temperatures was studied by compression and torsion experiments.
Posted Content

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System

TL;DR: A uSer and Agent Model IntegrAtion (SAMIA) framework inspired by an observation that the roles of the user and agent models are asymmetric is proposed, which model the user model as a Seq2Seq learning problem instead of ranking or designing rules.
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LoSeCo: Location-based search computing for pervasive device augmentation

TL;DR: Experimental results on real-world wireless network environments validate the effectiveness of the LoSeCo approach and that even a rough localization accuracy can meet the need of QoS (Quality of Service) in search computing behaviors.