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Weijun Wang

Weijun Wang has 2 papers in our library, in 2017–2024; often with Bo Chen, Dmitry Kalenichenko, Jiacheng Liu.

2 papers in our library · 2017–2024

OpenAlex · ORCID · h-index 16 · 116 works · 1,091 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 613 times in our library · ⭐ Paper Stars ranking: #337

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2016–2026 · 64 paperscurrent🎓Guangzhou Institute of Advanced TechnologyGuangzhou · China2016–2026 · 42 paperscurrent🔬Shenzhen Institutes of Advanced TechnologyShenzhen · China2017–2026 · 20 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2020–2026 · 14 paperscurrent🎓Hunan University of Science and TechnologyXiangtan · China2026 · 1 papercurrent🎓Lanzhou UniversityLanzhou · China2026 · 1 papercurrent🔬Ningbo Institute of Industrial TechnologyNingbo · China2019–2025 · 12 papers🔬Hefei Institutes of Physical ScienceHefei · China2020–2025 · 9 papers🎓University of Science and Technology of ChinaHefei · China2020–2021 · 4 papers🎓Jimei UniversityXiamen · China2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20241 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (2017 · 9,729 citations)
    The paper addresses a practical gap in computer vision. Accuracy-focused convolutional networks keep growing, but robots, cars and AR devices need recognition that runs quickly on weak hardware. The authors propose MobileNets, a family of compact networks built almost entirely from depthwise separable convolutions.…
  2. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security (2024 · 100 citations)
    The paper looks at why today's phone and smart-device assistants, such as Siri, Google Assistant and Alexa, remain narrow.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 613 times (of the 149,439 papers whose bibliographies we read); 42 citing papers with a page here →.

Updated

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