Scholar
Wenwei Zhang
Google Scholar ID: QDXADSEAAAAJ
Shanghai AI Laboratory
Citations & Impact
Citations
8,505
H-index
40
i10-index
68
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- - Released Intern-S1, state-of-the-art open-source multi-modal foundation model, and won Best Paper Runner-Up Award in ICML2025 AI4Math Workshop
- - Released state-of-the-art open-source LLMs InternLM2.5-Chat and InternLM2-Chat, leading in opencompass and huggingface leaderboards
- - Two papers (CLIPSelf and UniHSI) accepted as spotlights by ICLR2024
- - Released OpenMMLab 2.0 with a new core, MMEngine
- - Video K-Net accepted by CVPR 2022 (oral)
- - K-Net accepted by NeurIPS 2021 and code released
- - MMDet3D team obtained Best PKL Award and best vision-only results in the 3rd nuScenes detection challenge
- - Second runner up in LVIS2020 Challenge
- - Released MMDetection3D, OpenMMLab’s next-generation platform for general 3D object detection
- - Won 1st prize in COCO 2019 Object Detection Challenge (no external data)
Research Experience
- - Leading the post-training team of InternLM, working on AI Agents and self-improvement (scalable oversight) of Large Language Models (since 2023)
- - Built and released MMDetection3D, and has been leading the development of MMDetection and MMDetection3D since 2020
- - Core member of OpenMMLab since 2019
Education
- - PhD: School of Computer Science and Engineering, Nanyang Technological University, Singapore, Supervisor: Professor Chen Change (Cavan) Loy, Time: Not specified
- - Bachelor's Degree: School of Computer Science, Wuhan University, Time: Not specified
Background
- - Research Interests: AI Agents, self-improvement (scalable oversight) of Large Language Models, multi-modal foundation models
- - Field: Computer Science and Engineering
- - Brief Introduction: Young Research Scientist at Shanghai Artificial Intelligence Laboratory, leading a post-training team of InternLM, exploring versatile neural architectures across modalities and perception tasks
Miscellany
- - Personal interests and hobbies not provided
