Biography

Hi, I’m Keyu, a master student in Machine Learning at University of Tuebingen. Currently, I am a research assistant in Max Planck Institute for Intelligent Systems, advised by Dr. Shiwei Liu, and also have the privilege of working with Dr. Weiyang Liu and Dr. Jonas Geiping. I earned my B.Eng. in Artificial Intelligence from Southeast University where I was advised by Prof. Guilin Qi, and had a wonderful time at SEU-131AIClub, contributing to its founding and flourishing.

I am passionate about the intuitions from empirical observations and about uncovering the principles behind them, especially how intelligence learns – on what data, at what scale, stepping by what rule, and how early choices set the ceiling on foundamental capabilities like generalization and lifelong learning. My current research centers on scalable and efficient foundation models, with a focus on understanding their architectures, optimizers, training dynamics, science of scaling, data valuation, reasoning capabilities, and theory.

Please feel free to reach out to me via email at​ ​keyu.wang@student.uni-tuebingen.de.


Education

  • 2024.10 - Present, M.Sc. in Machine Learning, University of Tuebingen, Tuebingen, Germany
  • 2020.09 - 2024.06, B.Eng. in Artificial Intelligence, Southeast University, Nanjing, China


Working Experience

  • 2025.12 - Present, Research Assistant, Max Planck Institute for Intelligent Systems, Tuebingen, Germany
  • 2023.07 - 2024.06, Intern, BSH Bosch & Siemens Home Appliances Group, Nanjing, China


Research Experience

  • 2025.03 - Present WEI Lab, Max Planck Institute for Intelligence Systems & ELLIS Tuebingen. Advisor: Dr. Shiwei Liu
    Master's Intern: foundation model architectures & pre-training, model compression
  • 2025.11 - 2026.05 SEAL Lab, Max Planck Institute for Intelligence Systems & ELLIS Tuebingen. Advisor: Dr. Jonas Geiping
    Master's Student: inference optimization, reasoning
  • 2022.02 - 2024.06 COIN Lab, Southeast University. Advisor: Prof. Dr. Guilin Qi
    Undergraduate Student: neuro-symbolic knowledge representation and reasoning


Recent Publications & Preprints

Refer to my Google Scholar for a complete list. (* Equal contribution)

I. Learning: Model & Optimization, Data, Infra

One LR Doesn’t Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs

Di He*, Songjun Tu*, Keyu Wang, Lu Yin and Shiwei Liu
ICML 2026 [PDF]

II. Inference: Deployment, Inference & Reasoning, Evaluation

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs

Keyu Wang*, Tian Lyu*, Guinan Su, Jonas Geiping, Lu Yin, Marco Canini, Shiwei Liu
ArXiv 2025 [PDF]


Academic Services

  • Reviewer: COLM 2026, CPAL 2026


Misc

  • My Chinese name is 汪可予. I come from Tongling, Anhui — a small city by the Yangtze River.
  • I like all kinds of sports, such as table tennis, basketball, football, badminton, marathons, jogging, hiking and climbing.
  • I a big fan of animations. I enjoy various chess, board and card games.