Shanghai AI Laboratory / Intern-S1/2 / OpenMMLab
Wenwei Zhang，张文蔚
Wenwei Zhang is a Young Research Scientist at Shanghai Artificial Intelligence Laboratory. He works on post-training and self-improvement (scalable oversight) of foundation models, including Intern-S1/2, with a focus on AI Agents.
- Current focus
- AI Agents and self-improvement of foundation models
- Systems
- Intern-S1/2, InternLM, MMDetection and MMDetection3D
- Research roots
- Versatile neural architectures and open-vocabulary perception
- Open positions
- PhD/postdoc/intern and full-time researcher roles are open.
Working on post-training and self-improvement of foundation models, including Intern-S1/2.
Core member of OpenMMLab; built and released MMDetection3D and has led MMDetection/MMDetection3D development since 2020.
MMLab, Nanyang Technological University, Singapore, supervised by Professor Chen Change (Cavan) Loy.
Research Direction
Self-improvement of Intelligence
He obtained his Ph.D. degree at MMLab, School of Computer Science and Engineering, Nanyang Technological University, Singapore, supervised by Professor Chen Change (Cavan) Loy. Before that, he received his bachelor degree at the Computer Science School, Wuhan University.
His past works mainly explore versatile neural architectures across modalities and perception tasks and open-vocabulary perception. He built and released MMDetection3D, and has been leading the development of MMDetection and MMDetection3D since 2020, respectively, as a core member of OpenMMLab since 2019.
Foundation Models
Post-training and self-improvement work for foundation models including Intern-S1/2, with a focus on AI Agents.
Open-Source Systems
OpenMMLab systems work around MMDetection, MMDetection3D, and general 3D object detection platforms.
Versatile Architectures
Research on versatile neural architectures across modalities and perception tasks, including open-vocabulary perception.
Recent News
Selected updates
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Intern-S1, state-of-the-art open-source multi-modal foundation model has been released. See Intern-S1 Collections and tech report.
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InternLM2.5-StepProver won the Best Paper Runner-Up Award in ICML2025 AI4Math Workshop.
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InternLM2.5-Chat, state-of-the-art open-source LLMs in opencompass and huggingface leadboard, have been released. See InternLM2.5 Model Zoo.
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InternLM2-Chat, state-of-the-art open-source LLMs in opencompass and AlpacaEval2, have been released. See InternLM2 Model Zoo.
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2 papers (CLIPSelf and UniHSI) are accepted as spotlights by ICLR2024.
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We release OpenMMLab 2.0 with a new core, MMEngine.
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Video K-Net is accepted by CVPR 2022 (oral).
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K-Net is accepted by NeurIPS 2021. Code has been released at here.
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MMDet3D team obtains Best PKL Award and best vision-only results in the 3rd nuScenes detection challenge of 5th AI Driving Olympics, NeurIPS 2020. Paper of our multi-modality method is released in arxiv.
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Second runner up in LVIS2020 Challenge. Paper can be found in arxiv.
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We release MMDetection3D, OpenMMLab's next-generation platform for general 3D object detection.
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Win the 1st prize in COCO 2019 Object Detection Challenge (no external data). (Team: MMDet)
Academic Service