Kai Chen

Research Scientist & Head of Large Model Center, Shanghai AI Laboratory

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I am leading a group of talented researchers and engineers to tackle challenges related to LLM, generative AI and multi-modal learning, as well as build impactful open-source projects. Some projects led by me include: OpenMMLab, InternLM, OpenCompass, OpenXLab.

Before joining Shanghai AI Lab, I was a director at SenseTime and led R&D teams for computer vision. I received the PhD in 2019 degree at MMLab, The Chinese University of Hong Kong, under the supervision of Prof. Dahua Lin and Chen Change Loy. Prior to that, I received the B.Eng. degree from Tsinghua University in 2015.

We have opening positions for full-time employees, interns, joint PhDs (with THU/SJTU/FDU/ZJU/USTC, etc).

news

Sep, 2024 7 papers accepted to NeurIPS 2024 and 4 papers accepted to NeurIPS 2024 Datasets and Benchmarks Track.
Sep, 2024 3 papers (1 main + 2 findings) accepted to EMNLP 2024.
Jul, 2024 6 papers accepted to ECCV 2024.
May, 2024 5 papers (2 main + 3 findings) accepted to ACL 2024.
May, 2024 2 papers accepted to ICML 2024.
Mar, 2024 2 papers accepted to NAACL 2024 (1 main + 1 findings).
Feb, 2024 7 papers accepted to CVPR 2024.
Jan, 2024 OpenCompass 2.0 is released and it now has a Chinese name 司南.
Sep, 2023 1 paper accepted to NeurIPS 2023.
Jul, 2023 3 papers accepted to ICCV 2023.
Apr, 2023 1 paper accepted to IJCAI 2023.
Feb, 2023 3 papers accepted to CVPR 2023.
Nov, 2022 2 papers accepted to AAAI 2023.
Sep, 2022 1 paper accepted to NeurIPS 2022.
Sep, 2022 A major update of OpenMMLab – OpenMMLab 2.0 is released.
Jul, 2022 1 paper accepted to ECCV 2022.
Mar, 2022 6 papers accepted to CVPR 2022.
Sep, 2021 2 papers accepted to NeurIPS 2021.
Apr, 2021 1 paper accepted to TPAMI.
Apr, 2021 We released MMTracking, MMOCR and mmgeneration.
Feb, 2021 2 papers accepted to CVPR 2021.
Dec, 2020 1 paper accepted to AAAI 2021.
Jul, 2020 We announced 6 new open-source projects on OpenMMLab. See our website for details.
Jul, 2020 1 paper accepted to ECCV 2020 (Spotlight).
Feb, 2020 1 paper accepted to CVPR 2020.
Oct, 2019 We won the 1st prize in COCO 2019 Object Detection Challenge (without external data).
Jul, 2019 1 paper accepted to ICCV 2019 (oral).
Mar, 2019 3 papers accepted to CVPR 2019.
Sep, 2018 We released MMCV and MMDetection .
Sep, 2018 We won the COCO 2018 Object Detection Challenge. (slides)
Feb, 2018 1 paper accepted to CVPR 2018.
Mar, 2017 1 paper accepted to CVPR 2017 (Spotlight).

selected publications (full list)

  1. ANAH: Analytical Annotation of Hallucinations in Large Language Models
    Ziwei Ji, Yuzhe Gu, Wenwei Zhang, and 3 more authors
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2024
  2. T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
    Zehui Chen, Weihua Du, Wenwei Zhang, and 8 more authors
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2024
  3. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
    Zehui Chen, Kuikun Liu, Qiuchen Wang, and 5 more authors
    In Findings of the Association for Computational Linguistics: ACL 2024
  4. MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
    Hongwei Liu, Zilong Zheng, Yuxuan Qiao, and 7 more authors
    In Findings of the Association for Computational Linguistics: ACL 2024
  5. PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
    Yiming Zhang, Zhening Xing, Yanhong Zeng, and 2 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024
  6. RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer
    Jiahao Wang, Songyang Zhang, Yong Liu, and 6 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
  7. Dense Distinct Query for End-to-End Object Detection
    Shilong Zhang, Jiaqi Wang, Jiangmiao Pang, and 4 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
  8. Group R-CNN for Weakly Semi-supervised Object Detection with Points
    Shilong Zhang, Zhuoran Yu, Liyang Liu, and 3 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  9. MMRotate: A Rotated Object Detection Benchmark Using PyTorch
    Yue Zhou, Xue Yang, Gefan Zhang, and 9 more authors
    In Proceedings of the 30th ACM International Conference on Multimedia 2022
  10. K-Net: Towards Unified Image Segmentation
    Wenwei Zhang, Jiangmiao Pang, Kai Chen, and 1 more author
    Advances in Neural Information Processing Systems (NeurIPS) 2021
  11. Temporal ROI Align for Video Object Recognition
    Tao Gong, Kai Chen, Xinjiang Wang, and 5 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2021
  12. Towards Balanced Learning for Instance Recognition
    Jiangmiao Pang, Kai Chen, Qi Li, and 5 more authors
    International Journal of Computer Vision (IJCV) 2021
  13. CARAFE++: Unified Content-Aware ReAssembly of FEatures
    Jiaqi Wang, Kai Chen, Rui Xu, and 3 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
  14. Feature Pyramid Grids
    Kai Chen, Yuhang Cao, Chen Change Loy, and 2 more authors
    arXiv preprint arXiv:2004.03580 2020
  15. Libra R-CNN: Towards Balanced Learning for Object Detection
    Jiangmiao Pang, Kai Chen, Jianping Shi, and 3 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
  16. Region Proposal by Guided Anchoring
    Jiaqi Wang*, Kai Chen*, Shuo Yang, and 2 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
  17. Hybrid task cascade for instance segmentation
    Kai Chen, Jiangmiao Pang, Jiaqi Wang, and 9 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
  18. MMDetection: Open MMLab Detection Toolbox and Benchmark
    Kai Chen, Jiaqi Wang*, Jiangmiao Pang*, and 22 more authors
    arXiv preprint arXiv:1906.07155 2019
  19. CARAFE: Content-Aware ReAssembly of FEatures
    Jiaqi Wang, Kai Chen, Rui Xu, and 3 more authors
    In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2019
  20. Prime sample attention in object detection
    Yuhang Cao, Kai Chen, Chen Change Loy, and 1 more author
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
  21. Optimizing Video Object Detection via a Scale-Time Lattice
    Kai Chen, Jiaqi Wang, Shuo Yang, and 4 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
  22. Discover and Learn New Objects from Documentaries
    Kai Chen, Hang Song, Chen Change Loy, and 1 more author
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017