About
Teng Xi
Staff Software Engineer at Baidu Inc

Teng Xi  was a joint postdoc researcher in Baidu Inc and Department of Computer Science and Technology at Tsinghua University. He received his Ph.D. degree from Beijing University of Posts and Telecommunications in 2018.  He have been awarded the Chinese Government Scholarship for studying abroad, the National Scholarship for Ph.D. students, the BUPT Excellent Ph.D. Students Foundation. His research interest is model compression, Bayesian estimation, and face recognition. He has proposed original NAS algorithms in top-tier conferences/journals such as SA-NAS and GP-NAS. Using the proposed NAS algorithms, he received the Winner prize in all three tracks of the AIM 2020 Real Image Super-Resolution Challenge, the Winner prize in OVIC Image Track of 2020 Low-Power Computer Vision Challenge, the Winner prize in Grand Challenge of 106-Point Facial Landmark Localization, the Winner prize in NTIRE 2020 Challenge on Real Image Denoising. He co-organized the Astar 2019 Developer Challenge, which attracted nearly 2000 teams to attend, based on opensource PaddleSlim library developed by his group, a deep learning framework for model compression and architecture search. He co-organized the ICML Expo workshop PaddlePaddle-based Deep Learning at Baidu. He organized the  CVPR 2021 Neural Architecture Search Workshop and organized the 1st lightweight NAS challenge. He organized the  CVPR 2022 Neural Architecture Search Workshop and organized the 2nd lightweight NAS challenge.


Recent News










 ■  VIMER-UFO 2.0 the largest CV model in the industry has been released! 05/20/2022
    Introducing VIMER-UFO 2.0 (Unified Feature Optimization), a task MoE based 17-billion-parameter CV foundation       model , which supports extraction of lightweight  models through sparse activation and achieves SOTA on 28               datasets across a battery of visual recognition tasks including faces, humans, vehicles, commodities, food, etc.            GitHub: https://github.com/PaddlePaddle/VIMER/tree/main/UFO/








 ■  Winner teams of CVPR 2022 NAS competition has been released! 06/07/2022









 ■  Winner teams of CVPR 2021 NAS competition has been released! 05/24/2022









 ■   CVPR 2022 NAS Competition is start! 03/22/2022








 ■   CVPR 2021 NAS Competition is start! 03/01/2021








 ■   CVPR 2022 NAS Competition is start! 03/22/2022








 ■   VIMER-UFO 1.0 has been released! 02/16/2022
      Introducing VIMER-UFO 1.0 (Unified Feature Optimization)A single model covers 4 tasks in smart city, and a                  single model refreshes 10 SOTA results! 







 ■   Invited by WAVE SUMMIT 2021! 12/12/2021
      







 ■   Invited talk by ChinaMM 2021! 09/25/2021
 ■   Invited talk by VALSE 255! 09/25/2021
 ■   ICML Expo workshop PaddlePaddle-based Deep Learning at Baidu has been successfully held! 07/18/2021


      







 ■   CVPR 2021 NAS workshop has been successfully held! 06/24/2021
 


      







 ■   CVPR 2022 NAS workshop has been successfully held! 06/19/2022








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