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 empirical wonders from how machines learn – 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 data, architectures and optimisation, and their effect on training dynamics.

I am seeking PhD opportunities in 27 fall/winter and internship during 26 winter/27 spring. Here are my Research-CV and Research-Slides (last updated on 30. Aug). 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 Appliance 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: pre-training & model architectures, 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

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

I. Learning: Training Dynamics, Data, and Optimization

II. Inference: Evaluation, Efficiency, and Reasoning Reliability

Academic Services

• Conference Reviewer: COLM 2026, CPAL 2026
• Workshop Reviewer: On-device Intelligence @ NeurIPS 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.