4 results match your criteria: "Chinese University of Hong Kong at Shenzhen[Affiliation]"
Neural Netw
August 2024
AI Lab, Tencent, Shenzhen, 518000, Guangdong, China. Electronic address:
Given a graph G, the network collapse problem (NCP) selects a vertex subset S of minimum cardinality from G such that the difference in the values of a given measure function f(G)-f(G∖S) is greater than a predefined collapse threshold. Many graph analytic applications can be formulated as NCPs with different measure functions, which often pose a significant challenge due to their NP-hard nature. As a result, traditional greedy algorithms, which select the vertex with the highest reward at each step, may not effectively find the optimal solution.
View Article and Find Full Text PDFSoft Robot
June 2023
School of Science and Engineering, Chinese University of Hong Kong at Shenzhen, Shenzhen, China.
Jellyfish are among the widely distributed nature creatures that can effectively control the fluidic flow around their transparent soft body, thus achieving movements in the water and camouflage in the surrounding environments. Till now, it remains a challenge to replicate both transparent appearance and functionalities of nature jellyfish in synthetic systems due to the lack of transparent actuators. In this work, a fully transparent soft jellyfish robot is developed to possess both transparency and bio-inspired omni motions in water.
View Article and Find Full Text PDFSoc Psychol Educ
July 2022
Department of Educational Psychology and School Counselling, Faculty of Education, Beijing Normal University, Beijing, China.
Job exhaustion is not uncommon among Chinese middle school teachers, but the key antecedents of job exhaustion and the underlying mechanisms in this historically underrepresented population remain poorly understood. This study examined the association between job demand and exhaustion, and tested the mediating role of job satisfaction and the moderating role of teachers' role (i.e.
View Article and Find Full Text PDFSoft Robot
August 2022
School of Science and Engineering, Chinese University of Hong Kong at Shenzhen, Shenzhen, China.
Tunable lens technology inspired by the human eye has opened a new paradigm of smart optical devices for a variety of applications due to unique characteristics such as lightweight, low cost, and facile fabrication over conventional lens assemblies. The fast-growing demands for tunable optical lenses in consumer electronics, medical diagnostics, and optical communications require the lens to have a large focal length modulation range and high compactness. Herein, for the first time, an all-solid tunable soft lens driven by highly transparent dielectric elastomer actuators (DEAs) based on poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) and waterborne polyurethane (PEDOT:PSS/WPU) transparent electrodes is developed.
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