Yang Tang
Yang Tang has 2 papers in our library, in 2025–2026, most of them on Reasoning; often with Haofen Wang, Huajun Chen, Jingping Liu.
OpenAlex · ORCID · Wikidata · h-index 73 · 472 works · 19,632 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #8057
Affiliations
🎓East China University of Science and TechnologyShanghai ·
China2015–2026 · 284 papers🔬Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of EducationShanghai ·
China2015–2026 · 227 papers🎓Zhejiang UniversityHangzhou ·
China2023–2026 · 2 papers🎓Donghua UniversityShanghai ·
China2002–2013 · 45 papersEducation 2002–2006Education 2006–2010🔬Potsdam Institute for Climate Impact ResearchPotsdam ·
Germany2011–2015 · 42 papers🎓Humboldt-Universität zu BerlinBerlin ·
Germany2011–2015 · 39 papers🔬China Academy of Engineering PhysicsMianyang ·
China2018–2024 · 20 papers🎓Harbin Institute of TechnologyHarbin ·
China2011–2013 · 19 papersEmployment 2011🎓Hong Kong Polytechnic UniversityHong Kong ·
China2008–2013 · 13 papersEmployment 2008–2010🎓Columbia UniversityNew York ·
United States2012–2020 · 11 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works
Works by year
2020s
Papers
- DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models (2025 · 41 citations)
This survey, written by researchers at several Chinese universities and Swinburne University, explains why DeepSeek's V3 and R1 models drew so much attention and what they suggest about the direction of large AI models. - Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning (2026 · 1 citation)
Chain-of-Thought (CoT) reasoning improves LLM accuracy, but its long outputs slow inference and use a lot of memory.
Co-authors here
Venues
Cited by
Updated
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