Xuefei Ning

Xuefei Ning

Research Assistant Professor at Tsinghua University

Starting from 2024, I’m a research assistant professor in the NICS-EFC group at the Department of Electronic Engineering, Tsinghua University. I obtained my B.S. and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, in 2016 and 2021, advised by Prof. Huazhong Yang and Prof. Yu Wang. I spent two years (from December 2021 to December 2023) as a post-doctoral researcher with Prof. Yu Wang and Prof. Pinyan Lu.

Currently, I’m leading the Efficient Deep Learning Algorithm (EffAlg) Team in the NICS-EFC group. Our team is continuously looking for self-motivated master or Ph.D. students, postdoctoral scholars, research assistants, and visiting students.

Please send me and Prof. Wang an email with your CV if you’re interested!

Services

  • Conference Reviewer: ICML (2022, 2023, 2024), NeurIPS (2022, 2023, 2024), ICLR (2023, 2024, 2025), CVPR (2022, 2023), ICCV (2023), ECCV (2022, 2024), AAAI (2023, 2024), AISTATS (2025), ECML-PKDD (2022)
  • Conference Area Chair: CVPR 2025
  • Conference Senior Area Chair: ACL 2025
  • Conference TPC Member: DAC 2025 AI Track
  • Journal Reviewer: TPAMI, IJCV, CUSR, TCSVT, Pattern Recognit., TECS, TCAD, TODAES
  • Selected Talks

    • Introduction to NICS-EFC Lab Efficient Algorithm Team Slide Video

      A talk to introduce our EffAlg Group. @AI Time.

    • Generative Model Compression and Acceleration Slide

      A talk on generative model compression and acceleration. @Huawei; Apple-China; University of Chinese Academy of Sciences; and others.

    • An Introduction to Quantization of Large Language Models Slide Video

      A talk about efficient LLM with a special focus on quantization for an Competition organized by AWS-China.

    • Model Compression Towards Efficient Deep Learning Inference Slide

      A talk on model compression towards efficient DL inference. @Huawei; Inceptio.ai; Beihang University; and others.

    • Neural Architecture Search and Architecture Encoding Slide

      A talk on NAS researches. @DAMO Academy of Alibaba Group (U.S.); Renmin University of China; and others.