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
- Self-improving foundation models and agents via interaction and scalable oversight
- Systems
- Intern-S1, Intern-S2, InternLM, MMDetection and MMDetection3D
- Open positions
- PhD/postdoc/intern and full-time researcher roles are open.
Current work at Shanghai AI Laboratory on post-training, agents, and scalable oversight.
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
My research focuses on foundation models and agents that improve through interaction with agents, environments, tools, and humans, under scalable oversight. I study two connected questions:
Machine Cognition
How can machines model, learn, and continually evolve cognitive capabilities in the human world?
Human-Machine Collaboration
How can evolving machine cognition assist complex human activities while keeping humans valuable in an increasingly automated world?
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