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Shanghai AI Laboratory
Shanghai AI Laboratory belongs in the extended layer where open technical reports from the InternLM and InternVL lines make a large but traceable researcher set visible.
Roster
Jifeng Dai
Shanghai AI Laboratory
Jifeng Dai is a tenured associate professor in electronic engineering at Tsinghua University and founder of Fundamental Vision. His research spans computer vision, deep learning, multimodal learning, and autonomous driving. He previously worked at Microsoft Research Asia and SenseTime Research, and he received both his bachelor's and PhD degrees from Tsinghua University.
Yixiao Ge
Shanghai AI Laboratory
Yixiao Ge is a Research Scientist at Shanghai AI Laboratory and OpenGVLab. His work focuses on multimodal large language models, computer vision, efficient deep learning, and vision-language understanding.
Shengding Hu
Shanghai AI Laboratory
Shengding Hu is a researcher at Shanghai AI Laboratory and a PhD candidate at Tsinghua University working on large language models, multimodal models, and AI agents.
Hao Fei
Shanghai AI Laboratory
Research scientist at Shanghai AI Laboratory working on NLP and multimodal AI, and a co-author of InternLM-XComposer2.5.
Dahua Lin
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Jiaqi Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Yu Qiao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Jiaqi Gao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Xiaogang Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Yuhang Zang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Yuxuan Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Zhenguo Li
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Zhe Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Zhongyue Zhang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Ziyu Shao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Ailin Qiu
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
Aming Wu
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Conghui He
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
Fan Yang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Fengyun Rao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Guoming Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Haidong Duan
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
Han Zhou
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
Haonan Shan
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.