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Qiyang Min

Qiyang Min is a researcher at ByteDance Inc. whose public profiles and publication record indicate work on large language models, memory-augmented architectures, and related model systems. OpenReview lists prior research experience at Baidu and undergraduate study in software engineering at Nanjing University.

Researcher at ByteDance working on large language models and model architectures.1 organizations1 reports

Profile status: updated

updated 2 public sources

large language modelsmemory networksrecommendation systems

Current frame

Researcher at ByteDance working on large language models and model architectures.

Extended note

Publicly available research profiles identify Qiyang Min as a researcher at ByteDance Inc. OpenReview lists earlier research work at Baidu from 2015 to 2019 and undergraduate study in Software Engineering at Nanjing University from 2011 to 2015. DBLP credits publications from recommendation systems in 2022 to recent large-model architecture work such as Ultra-Sparse Memory Network and Hyper-Connections, and Qiyang Min is also listed as an author of the ByteDance Seed report Seed1.5-Thinking.