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Long Wang

Researcher at Peking University

Publications -  881
Citations -  35407

Long Wang is an academic researcher from Peking University. The author has contributed to research in topics: Linear system & Population. The author has an hindex of 84, co-authored 835 publications receiving 30926 citations. Previous affiliations of Long Wang include Chinese Academy of Sciences & Tsinghua University.

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Proceedings ArticleDOI

Platform for cooperation of multiple robotic fish — Robofish Water Polo

TL;DR: Robofish water polo, as a novel platform of multiple robotic fish, can be applied to test and verify different algorithms and strategies for cooperation of multiple underwater robots.
Posted Content

Information propagation in a novel hierarchical network

TL;DR: It is found that the frequency distribution of refractory elements number is bimodal and the location of initially chosen seed infection affects the spreading range of the information.
Journal ArticleDOI

Changes in bacterial community structure and humic acid composition in response to enhanced extracellular electron transfer process in coastal sediment

TL;DR: Specific bacterial groups as potential exoelectrogens including Proteobacteria and Firmicutes were enriched under enhanced extracellular electron transfer process, indicating that they were active to exchange electrons and might play important roles during the changes of humic acids, while the relative abundance of Verrucomicrobia and Bacteroidetes was reduced during these processes.
Proceedings ArticleDOI

Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results

TL;DR: A fuzzy-logic-based hybrid locomotion mode classification method for an active pelvis orthosis and preliminary experimental results with three able-bodied subjects achieve an off-line classification accuracy higher than 99.49%.
Proceedings ArticleDOI

Evolutionary game dynamics of multi-agent cooperation driven by self-learning

TL;DR: This paper analytically study the strategy evolution in a multiple player game model driven by self-learning and indicates that self- learning dynamics of multi-player games has special characters, such as promoting cooperation in collective risk games with large threshold.