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.

I built and am currently 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!

NOTE in 2025: After nearly five years of building the team from the ground up, our team is entering a new phase in 2025! From now on, I personally may not be able to advise or participate in quite some projects within my team. Despite that, I think that we have already established strong pipelines, a comprehensive knowledge base, a solid platform, and more importantly, a good group of people for new students to find their collaboration and grow in our team. Therefore, our team continues to welcome new students.

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

• Zhiyuan's Annual Discussion on the 10 AI Trends - Inference Optimization Slide

  A talk to summarize the key work and my opinions on the near-term trends at the start of 2025.

• 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 Video

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

• A Simple Survey on Auto-Parallelism Slide

  An internal Chinese survey on auto parallelism methods in 2022.