Scholar
Yu Liu
Google Scholar ID: Lzb6A1sAAAAJ
InterAive Inc
Citations & Impact
Citations
11,115
H-index
45
i10-index
79
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications:
- - Published multiple papers in ICML, CVPR, ICLR, etc. in 2025
- - Published 21 papers on NeurIPS/CVPR/TMLR/ICML/ECCV in 2024
- - Published 20 papers on TPAMI/ICCV/ICLR/NeurIPS/IROS/AAAI in 2023
- - Published 9 papers on ECCV/CoRL/NeurIPS/AAAI in 2022
- - Won the best paper award at ICCV21 MFR workshop and 3 championships in ICCV21 The Masked Face Recognition Challenge in 2021
- - Published 5 papers on CVPR/ECCV in 2020 and won 2 championships in ActivityNet on the Spatio-temporal Action Localization (AVA) track and the Trimmed Activity Recognition (Kinetics) track
- - Published 7 papers on ICCV/CVPR/AAAI in 2019 and won 4 championships in MMIT, OpenImage Instance Segmentation Challenge, OpenImage Object Detection Challenge, LFR 2019
- - Published 4 papers by CVPR/ECCV/IJCV/AAAI in 2018
- - Published 6 papers on CVPR/ICCV/NIPS/AAAI/T-PAMI in 2017
- - Won 1st place in ECCV-MOT16 Challenge and ImageNet Challenge 2016 in 2016
- Awards:
- - Won Wu Wenjun Award - First Prize for Scientific and Technological Progress in 2024
- - Won the best paper award at ICCV21 MFR workshop in 2021
- - Won the championship in NIST FRVT 1:N in 2020
- - Won Google PhD Fellowship 2019 in 2019
- Projects:
- - Released product MiaoHua with over 3,000,000 users and DAU exceeding 530,000 within 9 days post-launch in 2024
- - OpenDILab achieved 21,000+ stars on GitHub in 2024
- - Released DI-Star, an implementation of AlphaStar in pyTorch, beating pro players with 6000+ MMR in 2022
- - Released OpenDILab, an open-source decision intelligence platform in 2021
Research Experience
- Work Experience:
- - Founder, an AI venture (2025 ~ )
- - Executive Director & GM, SenseTime Group Limited (2019 ~ 2024)
- - Principal Investigator, Shanghai AI Lab (2020 ~ 2024)
- - Research work experiences at SenseTime, Google Research, and Microsoft Research (2015 ~ 2019)
Education
- Degree: Ph.D.; School: MMLab, CUHK; Advisor: Prof. Xiaogang Wang; Time: Not provided.
Background
- Research Interests: Large-scale AIGC and multi-modal interactive models. Professional Field: Artificial Intelligence, Computer Vision. Brief Introduction: Currently launching an AI startup, previously served as the Executive Director of Research and GM at SenseTime Group, leading a team of approximately 100 top-tier researchers and developers.
Miscellany
- Personal Interests: Not provided
Co-authors